7116 lines
566 KiB
Plaintext
7116 lines
566 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import cv2\n",
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"import numpy as np\n",
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"from ultralytics import YOLO\n",
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"from torchvision import models, transforms\n",
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"from sklearn.cluster import KMeans\n",
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"import torch\n",
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"from matplotlib import pyplot as plt\n",
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"from PIL import Image"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"model = YOLO(\"yolov8n.pt\").to('cuda')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"cuda:0\n"
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]
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}
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],
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"source": [
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"print(model.device)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Define Paths\n",
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"images_folder = 'dataset/cats' # Replace with your image folder path\n",
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"output_folder = 'output/' # Folder to save cropped cat images\n",
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"os.makedirs(output_folder, exist_ok=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Function to save bounding boxes in YOLO format\n",
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"def save_yolo_format(bounding_boxes, filename, image_width, image_height):\n",
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" with open(filename, 'w') as f:\n",
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" for box in bounding_boxes:\n",
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" class_id = box['class_id']\n",
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" # Normalize the bounding box coordinates\n",
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" x_min = box['x_min']\n",
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" y_min = box['y_min']\n",
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" x_max = box['x_max']\n",
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" y_max = box['y_max']\n",
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" \n",
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" # Center and size of the bounding box\n",
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" x_center = (x_min + x_max) / 2.0 / image_width\n",
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" y_center = (y_min + y_max) / 2.0 / image_height\n",
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" width = (x_max - x_min) / float(image_width)\n",
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" height = (y_max - y_min) / float(image_height)\n",
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"\n",
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" # Write in YOLO format: class_id x_center y_center width height\n",
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" f.write(f\"{class_id} {x_center} {y_center} {width} {height}\\n\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\1818949000-IMG-20240118-WA0001.jpg: 640x384 1 cat, 1 chair, 34.0ms\n",
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"Speed: 5.0ms preprocess, 34.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 384)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_103335.jpg: 640x480 1 cat, 1 bear, 2 chairs, 147.3ms\n",
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"Speed: 7.0ms preprocess, 147.3ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_141622.jpg: 640x480 1 person, 2 cats, 61.6ms\n",
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"Speed: 7.0ms preprocess, 61.6ms inference, 4.4ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_184600.jpg: 640x480 1 person, 1 cat, 1 remote, 1 book, 1 teddy bear, 70.0ms\n",
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"Speed: 8.0ms preprocess, 70.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_195833.jpg: 640x480 1 cat, 1 bed, 15.1ms\n",
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"Speed: 5.0ms preprocess, 15.1ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200052.jpg: 640x480 1 person, 1 cat, 13.0ms\n",
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"Speed: 2.0ms preprocess, 13.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200057.jpg: 640x480 1 cat, 1 bed, 11.0ms\n",
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"Speed: 4.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200102.jpg: 640x480 1 person, 1 cat, 1 bed, 18.5ms\n",
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"Speed: 5.0ms preprocess, 18.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201439.jpg: 640x480 1 cat, 13.0ms\n",
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"Speed: 2.0ms preprocess, 13.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201442.jpg: 640x480 1 cat, 1 bottle, 16.0ms\n",
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"Speed: 3.9ms preprocess, 16.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201443.jpg: 640x480 1 cat, 1 bottle, 24.2ms\n",
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"Speed: 4.8ms preprocess, 24.2ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201446.jpg: 640x480 1 cat, 1 bed, 82.0ms\n",
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"Speed: 6.0ms preprocess, 82.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201447.jpg: 640x480 1 cat, 1 dog, 39.0ms\n",
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"Speed: 3.7ms preprocess, 39.0ms inference, 10.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201448.jpg: 640x480 1 cat, 1 dog, 40.0ms\n",
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"Speed: 6.0ms preprocess, 40.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201452.jpg: 640x480 1 cat, 1 handbag, 24.7ms\n",
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"Speed: 5.0ms preprocess, 24.7ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201454.jpg: 640x480 1 cat, 1 dog, 25.0ms\n",
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"Speed: 4.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201458.jpg: 640x480 1 cat, 1 handbag, 30.1ms\n",
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"Speed: 4.0ms preprocess, 30.1ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201503.jpg: 640x480 1 dog, 1 handbag, 26.0ms\n",
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"Speed: 5.0ms preprocess, 26.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201510.jpg: 640x480 1 cat, 1 handbag, 24.5ms\n",
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"Speed: 5.0ms preprocess, 24.5ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_232857.jpg: 640x480 1 cat, 1 suitcase, 126.9ms\n",
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"Speed: 5.0ms preprocess, 126.9ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240310_140207.jpg: 640x480 1 cat, 10.4ms\n",
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"Speed: 4.0ms preprocess, 10.4ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195350.jpg: 640x480 1 cat, 1 handbag, 1 bed, 12.0ms\n",
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"Speed: 2.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195352.jpg: 640x480 1 cat, 12.0ms\n",
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"Speed: 4.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195357.jpg: 640x480 1 cat, 1 chair, 17.0ms\n",
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"Speed: 4.0ms preprocess, 17.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195403.jpg: 640x480 1 cat, 20.0ms\n",
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"Speed: 4.0ms preprocess, 20.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_180219.jpg: 640x480 1 cat, 1 couch, 28.0ms\n",
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"Speed: 4.0ms preprocess, 28.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185655.jpg: 640x480 1 cat, 1 toilet, 77.6ms\n",
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"Speed: 6.0ms preprocess, 77.6ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185658.jpg: 640x480 2 cats, 16.0ms\n",
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"Speed: 4.0ms preprocess, 16.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185700.jpg: 640x480 4 cats, 1 bowl, 17.0ms\n",
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"Speed: 4.0ms preprocess, 17.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185702.jpg: 640x480 2 cats, 12.0ms\n",
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"Speed: 2.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185718(0).jpg: 640x480 2 cats, 1 bowl, 1 chair, 19.0ms\n",
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"Speed: 4.1ms preprocess, 19.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185718.jpg: 640x480 2 cats, 1 bowl, 17.0ms\n",
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"Speed: 4.0ms preprocess, 17.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185719.jpg: 640x480 1 cat, 70.0ms\n",
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"Speed: 5.0ms preprocess, 70.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185729.jpg: 640x480 1 cat, 44.0ms\n",
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"Speed: 4.0ms preprocess, 44.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185730.jpg: 640x480 1 cat, 1 chair, 29.0ms\n",
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"Speed: 4.0ms preprocess, 29.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185733.jpg: 640x480 1 cat, 30.4ms\n",
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"Speed: 6.0ms preprocess, 30.4ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185734.jpg: 640x480 1 cat, 1 chair, 26.0ms\n",
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"Speed: 4.0ms preprocess, 26.0ms inference, 4.9ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240313_203246.jpg: 640x480 1 person, 1 cat, 1 bed, 24.0ms\n",
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"Speed: 4.2ms preprocess, 24.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240313_203248.jpg: 640x480 1 cat, 25.0ms\n",
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"Speed: 4.0ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_170048.jpg: 640x480 1 cat, 25.2ms\n",
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"Speed: 4.0ms preprocess, 25.2ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_170048_remastered.jpg: 640x480 1 cat, 1 dog, 25.0ms\n",
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"Speed: 5.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_171004.jpg: 640x480 1 cat, 45.6ms\n",
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"Speed: 6.0ms preprocess, 45.6ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_171030.jpg: 640x480 1 dog, 19.0ms\n",
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"Speed: 4.7ms preprocess, 19.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191222.jpg: 640x480 1 cat, 1 chair, 24.0ms\n",
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"Speed: 3.0ms preprocess, 24.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
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"\n",
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"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191224(0).jpg: 640x480 1 cat, 1 umbrella, 17.0ms\n",
|
|
"Speed: 2.0ms preprocess, 17.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191224.jpg: 640x480 1 cat, 1 bottle, 18.7ms\n",
|
|
"Speed: 4.6ms preprocess, 18.7ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191225.jpg: 640x480 1 cat, 30.9ms\n",
|
|
"Speed: 5.0ms preprocess, 30.9ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191226.jpg: 640x480 1 cat, 60.0ms\n",
|
|
"Speed: 4.0ms preprocess, 60.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191227.jpg: 640x480 1 cat, 52.1ms\n",
|
|
"Speed: 7.0ms preprocess, 52.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104313.jpg: 640x480 1 cat, 1 bottle, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104328.jpg: 640x480 1 cat, 1 bottle, 1 bowl, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104330.jpg: 640x480 1 cat, 1 bottle, 1 bowl, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104331.jpg: 640x480 1 cat, 9.0ms\n",
|
|
"Speed: 2.0ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104334.jpg: 640x480 1 person, 1 dog, 1 tv, 12.0ms\n",
|
|
"Speed: 3.1ms preprocess, 12.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_220146.jpg: 640x480 1 person, 2 dogs, 93.0ms\n",
|
|
"Speed: 4.0ms preprocess, 93.0ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_220153.jpg: 640x480 2 cats, 66.0ms\n",
|
|
"Speed: 4.7ms preprocess, 66.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_220210.jpg: 640x480 1 person, 3 cats, 61.0ms\n",
|
|
"Speed: 3.8ms preprocess, 61.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002355.jpg: 640x480 1 cat, 87.0ms\n",
|
|
"Speed: 4.0ms preprocess, 87.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002404.jpg: 640x480 1 cat, 72.6ms\n",
|
|
"Speed: 5.0ms preprocess, 72.6ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002407.jpg: 640x480 1 cat, 101.0ms\n",
|
|
"Speed: 5.0ms preprocess, 101.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002416.jpg: 640x480 1 cat, 72.0ms\n",
|
|
"Speed: 5.0ms preprocess, 72.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002419.jpg: 640x480 1 cat, 23.0ms\n",
|
|
"Speed: 6.0ms preprocess, 23.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204422.jpg: 640x480 1 person, 1 cat, 1 bed, 74.8ms\n",
|
|
"Speed: 6.0ms preprocess, 74.8ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204426.jpg: 640x480 1 cat, 1 bear, 1 chair, 31.7ms\n",
|
|
"Speed: 6.0ms preprocess, 31.7ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204429.jpg: 640x480 1 cat, 1 chair, 88.7ms\n",
|
|
"Speed: 6.0ms preprocess, 88.7ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204431.jpg: 640x480 1 cat, 94.0ms\n",
|
|
"Speed: 4.0ms preprocess, 94.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204434.jpg: 640x480 1 cat, 1 bed, 73.2ms\n",
|
|
"Speed: 5.0ms preprocess, 73.2ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204436.jpg: 640x480 1 cat, 1 elephant, 10.0ms\n",
|
|
"Speed: 2.0ms preprocess, 10.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204501.jpg: 640x480 1 bear, 14.0ms\n",
|
|
"Speed: 4.0ms preprocess, 14.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204503.jpg: 640x480 1 cat, 13.0ms\n",
|
|
"Speed: 3.0ms preprocess, 13.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240318_194443.jpg: 640x480 1 cat, 1 bed, 1 teddy bear, 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240320_171347.jpg: 640x480 1 bench, 1 cat, 41.6ms\n",
|
|
"Speed: 5.0ms preprocess, 41.6ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185912(0).jpg: 640x480 2 teddy bears, 19.0ms\n",
|
|
"Speed: 4.0ms preprocess, 19.0ms inference, 14.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185912.jpg: 640x480 1 cat, 1 teddy bear, 13.0ms\n",
|
|
"Speed: 4.0ms preprocess, 13.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185914.jpg: 640x480 1 cat, 1 teddy bear, 31.0ms\n",
|
|
"Speed: 3.0ms preprocess, 31.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185916.jpg: 640x480 1 cat, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 7.6ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185917.jpg: 640x480 1 cat, 28.0ms\n",
|
|
"Speed: 4.0ms preprocess, 28.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185921.jpg: 640x480 1 cat, 49.3ms\n",
|
|
"Speed: 5.0ms preprocess, 49.3ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185922.jpg: 640x480 1 cat, 27.0ms\n",
|
|
"Speed: 4.0ms preprocess, 27.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185924.jpg: 640x480 1 cat, 30.0ms\n",
|
|
"Speed: 4.6ms preprocess, 30.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185950.jpg: 480x640 1 cat, 76.7ms\n",
|
|
"Speed: 5.0ms preprocess, 76.7ms inference, 6.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_190008.jpg: 480x640 1 dog, 1 bed, 23.0ms\n",
|
|
"Speed: 4.0ms preprocess, 23.0ms inference, 4.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_190014.jpg: 480x640 1 cat, 1 dog, 20.0ms\n",
|
|
"Speed: 4.0ms preprocess, 20.0ms inference, 3.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193424.jpg: 640x480 2 benchs, 1 cat, 1 dining table, 33.5ms\n",
|
|
"Speed: 4.0ms preprocess, 33.5ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193425.jpg: 640x480 1 bench, 46.0ms\n",
|
|
"Speed: 4.0ms preprocess, 46.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193430.jpg: 640x480 1 dog, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193431.jpg: 640x480 1 bench, 1 cat, 25.0ms\n",
|
|
"Speed: 5.1ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193433.jpg: 640x480 1 bench, 1 cat, 24.9ms\n",
|
|
"Speed: 3.6ms preprocess, 24.9ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193448.jpg: 640x480 1 surfboard, 49.0ms\n",
|
|
"Speed: 5.5ms preprocess, 49.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193501.jpg: 640x480 (no detections), 9.0ms\n",
|
|
"Speed: 2.0ms preprocess, 9.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175352.jpg: 640x480 1 cat, 12.0ms\n",
|
|
"Speed: 5.0ms preprocess, 12.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175354.jpg: 640x480 1 cat, 8.0ms\n",
|
|
"Speed: 3.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175358.jpg: 640x480 1 cat, 8.0ms\n",
|
|
"Speed: 2.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175402.jpg: 640x480 1 cat, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175405.jpg: 640x480 1 cat, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175406.jpg: 640x480 1 cat, 13.0ms\n",
|
|
"Speed: 3.0ms preprocess, 13.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175407.jpg: 640x480 1 cat, 22.0ms\n",
|
|
"Speed: 5.0ms preprocess, 22.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240325_163728.jpg: 640x480 2 cats, 1 laptop, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_131427.jpg: 640x480 1 cat, 3 chairs, 5 potted plants, 3 vases, 25.0ms\n",
|
|
"Speed: 3.0ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_131431.jpg: 640x480 1 cat, 1 suitcase, 40.5ms\n",
|
|
"Speed: 5.0ms preprocess, 40.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183749.jpg: 640x480 1 cat, 9.0ms\n",
|
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"Speed: 3.0ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183757.jpg: 640x480 1 cat, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 3.2ms postprocess per image at shape (1, 3, 640, 480)\n",
|
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183759.jpg: 640x480 1 cat, 10.8ms\n",
|
|
"Speed: 3.0ms preprocess, 10.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183803.jpg: 640x480 1 cat, 8.0ms\n",
|
|
"Speed: 2.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
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"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183810.jpg: 480x640 1 cat, 10.5ms\n",
|
|
"Speed: 2.0ms preprocess, 10.5ms inference, 1.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135547.jpg: 640x480 1 cat, 12.0ms\n",
|
|
"Speed: 4.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135550.jpg: 640x480 1 cat, 14.0ms\n",
|
|
"Speed: 4.0ms preprocess, 14.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135553.jpg: 640x480 1 cat, 1 bed, 81.0ms\n",
|
|
"Speed: 7.0ms preprocess, 81.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135555.jpg: 640x480 1 cat, 1 couch, 1 tv, 62.9ms\n",
|
|
"Speed: 6.0ms preprocess, 62.9ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135643.jpg: 640x480 1 cat, 10.9ms\n",
|
|
"Speed: 3.0ms preprocess, 10.9ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240329_223942(0).jpg: 640x480 1 cat, 19.9ms\n",
|
|
"Speed: 4.0ms preprocess, 19.9ms inference, 3.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240329_223942.jpg: 640x480 1 cat, 1 chair, 13.0ms\n",
|
|
"Speed: 3.0ms preprocess, 13.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240329_223945.jpg: 640x480 1 cat, 16.0ms\n",
|
|
"Speed: 3.0ms preprocess, 16.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224228.jpg: 640x480 1 cat, 14.0ms\n",
|
|
"Speed: 3.0ms preprocess, 14.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224230.jpg: 640x480 1 cat, 1 dining table, 22.0ms\n",
|
|
"Speed: 3.0ms preprocess, 22.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224232.jpg: 640x480 2 cats, 37.0ms\n",
|
|
"Speed: 5.0ms preprocess, 37.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224233.jpg: 640x480 1 cat, 44.6ms\n",
|
|
"Speed: 5.0ms preprocess, 44.6ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224236.jpg: 640x480 1 cat, 46.0ms\n",
|
|
"Speed: 4.0ms preprocess, 46.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224237.jpg: 640x480 1 cat, 31.0ms\n",
|
|
"Speed: 5.0ms preprocess, 31.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224242.jpg: 640x480 1 cat, 35.4ms\n",
|
|
"Speed: 7.0ms preprocess, 35.4ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152307.jpg: 640x480 1 cat, 1 chair, 40.0ms\n",
|
|
"Speed: 4.6ms preprocess, 40.0ms inference, 6.8ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152308.jpg: 640x480 1 cat, 1 chair, 51.0ms\n",
|
|
"Speed: 4.6ms preprocess, 51.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152310.jpg: 640x480 1 cat, 58.5ms\n",
|
|
"Speed: 5.0ms preprocess, 58.5ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152316.jpg: 640x480 1 cat, 57.0ms\n",
|
|
"Speed: 6.6ms preprocess, 57.0ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152338.jpg: 640x480 1 cat, 67.0ms\n",
|
|
"Speed: 4.0ms preprocess, 67.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152341.jpg: 640x480 1 cat, 1 chair, 31.0ms\n",
|
|
"Speed: 4.9ms preprocess, 31.0ms inference, 10.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233450.jpg: 640x480 2 chairs, 1 book, 43.0ms\n",
|
|
"Speed: 3.0ms preprocess, 43.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233452.jpg: 640x480 1 chair, 32.0ms\n",
|
|
"Speed: 4.0ms preprocess, 32.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233500.jpg: 640x480 1 cat, 33.0ms\n",
|
|
"Speed: 4.0ms preprocess, 33.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233501.jpg: 640x480 1 cat, 1 bed, 28.0ms\n",
|
|
"Speed: 4.0ms preprocess, 28.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233502.jpg: 640x480 1 cat, 32.0ms\n",
|
|
"Speed: 5.0ms preprocess, 32.0ms inference, 5.8ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233503.jpg: 640x480 1 bench, 1 cat, 31.0ms\n",
|
|
"Speed: 4.0ms preprocess, 31.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233504.jpg: 640x480 1 cat, 37.0ms\n",
|
|
"Speed: 4.0ms preprocess, 37.0ms inference, 5.8ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233505.jpg: 640x480 1 cat, 34.0ms\n",
|
|
"Speed: 4.0ms preprocess, 34.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233506.jpg: 640x480 1 cat, 45.0ms\n",
|
|
"Speed: 6.0ms preprocess, 45.0ms inference, 6.6ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233553.jpg: 480x640 (no detections), 30.0ms\n",
|
|
"Speed: 5.1ms preprocess, 30.0ms inference, 1.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233600.jpg: 480x640 1 cat, 22.0ms\n",
|
|
"Speed: 3.0ms preprocess, 22.0ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233601.jpg: 480x640 (no detections), 24.5ms\n",
|
|
"Speed: 4.0ms preprocess, 24.5ms inference, 2.5ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233605.jpg: 480x640 (no detections), 23.0ms\n",
|
|
"Speed: 4.0ms preprocess, 23.0ms inference, 2.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233736.jpg: 640x480 1 bench, 1 apple, 1 bed, 59.4ms\n",
|
|
"Speed: 5.0ms preprocess, 59.4ms inference, 10.9ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233740.jpg: 640x480 1 bench, 27.6ms\n",
|
|
"Speed: 4.0ms preprocess, 27.6ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233759.jpg: 640x480 (no detections), 36.2ms\n",
|
|
"Speed: 8.0ms preprocess, 36.2ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233835.jpg: 640x480 1 bench, 34.9ms\n",
|
|
"Speed: 6.0ms preprocess, 34.9ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234112.jpg: 640x480 2 cats, 1 potted plant, 32.0ms\n",
|
|
"Speed: 4.0ms preprocess, 32.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234115.jpg: 640x480 1 cat, 1 dining table, 30.9ms\n",
|
|
"Speed: 5.0ms preprocess, 30.9ms inference, 6.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234507.jpg: 640x480 1 bench, 1 cat, 1 chair, 29.4ms\n",
|
|
"Speed: 4.0ms preprocess, 29.4ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234510.jpg: 640x480 1 cat, 2 chairs, 33.0ms\n",
|
|
"Speed: 4.0ms preprocess, 33.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234512.jpg: 640x480 1 cat, 33.0ms\n",
|
|
"Speed: 5.0ms preprocess, 33.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234514.jpg: 640x480 1 cat, 28.0ms\n",
|
|
"Speed: 5.0ms preprocess, 28.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234520.jpg: 640x480 2 cats, 1 bed, 1 toilet, 30.0ms\n",
|
|
"Speed: 5.0ms preprocess, 30.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234523.jpg: 640x480 1 cat, 45.3ms\n",
|
|
"Speed: 6.0ms preprocess, 45.3ms inference, 37.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234524.jpg: 640x480 2 cats, 41.9ms\n",
|
|
"Speed: 4.0ms preprocess, 41.9ms inference, 6.7ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234614.jpg: 640x480 1 bird, 41.0ms\n",
|
|
"Speed: 6.5ms preprocess, 41.0ms inference, 7.8ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234630.jpg: 640x480 1 cat, 1 dog, 45.0ms\n",
|
|
"Speed: 7.0ms preprocess, 45.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234749.jpg: 640x480 1 cat, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_235449.jpg: 640x480 1 cat, 11.1ms\n",
|
|
"Speed: 3.0ms preprocess, 11.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_235454.jpg: 640x480 1 chair, 1 teddy bear, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240414_204830.jpg: 640x480 1 cow, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240414_204832.jpg: 640x480 2 cats, 8.0ms\n",
|
|
"Speed: 3.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240415_191936.jpg: 640x480 1 cat, 13.1ms\n",
|
|
"Speed: 3.0ms preprocess, 13.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240416_131400.jpg: 640x480 1 person, 1 cat, 1 chair, 1 couch, 1 tv, 13.0ms\n",
|
|
"Speed: 4.0ms preprocess, 13.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240421_133252.jpg: 640x480 1 dog, 30.0ms\n",
|
|
"Speed: 5.0ms preprocess, 30.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240421_133313.jpg: 640x480 1 dog, 1 suitcase, 29.9ms\n",
|
|
"Speed: 7.0ms preprocess, 29.9ms inference, 10.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240423_103248.jpg: 480x640 1 cat, 31.0ms\n",
|
|
"Speed: 4.0ms preprocess, 31.0ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240424_204037.jpg: 640x480 2 cats, 1 chair, 16.0ms\n",
|
|
"Speed: 3.0ms preprocess, 16.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240425_224816.jpg: 640x480 1 cat, 15.8ms\n",
|
|
"Speed: 3.0ms preprocess, 15.8ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240425_224817(0).jpg: 640x480 1 cat, 13.0ms\n",
|
|
"Speed: 3.0ms preprocess, 13.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240425_224817.jpg: 640x480 1 cat, 12.0ms\n",
|
|
"Speed: 4.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240425_224819.jpg: 640x480 1 cat, 21.0ms\n",
|
|
"Speed: 7.0ms preprocess, 21.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240426_133718.jpg: 640x480 1 cat, 21.0ms\n",
|
|
"Speed: 6.0ms preprocess, 21.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240426_133720.jpg: 640x480 1 cat, 42.5ms\n",
|
|
"Speed: 5.0ms preprocess, 42.5ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_113516.jpg: 640x480 1 cat, 75.0ms\n",
|
|
"Speed: 4.0ms preprocess, 75.0ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_113519.jpg: 640x480 1 cat, 1 chair, 56.5ms\n",
|
|
"Speed: 5.0ms preprocess, 56.5ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_130031.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_130032.jpg: 640x480 1 cat, 24.0ms\n",
|
|
"Speed: 4.0ms preprocess, 24.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_130041.jpg: 640x480 1 cat, 98.1ms\n",
|
|
"Speed: 8.0ms preprocess, 98.1ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240503_173937.jpg: 640x480 1 cat, 33.0ms\n",
|
|
"Speed: 5.0ms preprocess, 33.0ms inference, 5.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240503_173948.jpg: 480x640 1 cat, 1 chair, 28.0ms\n",
|
|
"Speed: 4.6ms preprocess, 28.0ms inference, 4.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185557.jpg: 640x480 1 bench, 1 cat, 1 backpack, 1 chair, 1 potted plant, 31.0ms\n",
|
|
"Speed: 5.0ms preprocess, 31.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185559.jpg: 640x480 1 cat, 1 bear, 1 tv, 25.0ms\n",
|
|
"Speed: 6.0ms preprocess, 25.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185601.jpg: 640x480 1 cat, 24.0ms\n",
|
|
"Speed: 4.0ms preprocess, 24.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185604.jpg: 640x480 1 cat, 24.7ms\n",
|
|
"Speed: 5.0ms preprocess, 24.7ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185606.jpg: 640x480 2 cats, 1 dog, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185608.jpg: 640x480 2 cats, 1 potted plant, 25.4ms\n",
|
|
"Speed: 5.0ms preprocess, 25.4ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185612.jpg: 640x480 1 cat, 26.0ms\n",
|
|
"Speed: 4.8ms preprocess, 26.0ms inference, 5.4ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_185650.jpg: 640x480 2 cats, 4 chairs, 39.6ms\n",
|
|
"Speed: 4.0ms preprocess, 39.6ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_185651.jpg: 640x480 2 cats, 1 cup, 2 chairs, 24.2ms\n",
|
|
"Speed: 4.1ms preprocess, 24.2ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_185652.jpg: 640x480 2 cats, 1 cup, 2 chairs, 40.2ms\n",
|
|
"Speed: 5.0ms preprocess, 40.2ms inference, 6.6ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_185656.jpg: 640x480 1 bottle, 2 bowls, 3 chairs, 3 potted plants, 1 dining table, 1 tv, 3 vases, 25.2ms\n",
|
|
"Speed: 5.0ms preprocess, 25.2ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_194053.jpg: 640x480 1 cat, 1 chair, 36.0ms\n",
|
|
"Speed: 4.0ms preprocess, 36.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_210228.jpg: 640x480 1 cat, 24.5ms\n",
|
|
"Speed: 4.0ms preprocess, 24.5ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_071046.jpg: 640x480 1 cat, 1 dog, 25.1ms\n",
|
|
"Speed: 5.0ms preprocess, 25.1ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_071050.jpg: 640x480 1 cat, 2 bottles, 1 refrigerator, 24.0ms\n",
|
|
"Speed: 4.0ms preprocess, 24.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_071052.jpg: 640x480 1 cat, 2 bottles, 91.6ms\n",
|
|
"Speed: 6.0ms preprocess, 91.6ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_071053.jpg: 640x480 1 cat, 2 bottles, 41.9ms\n",
|
|
"Speed: 6.5ms preprocess, 41.9ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_072915.jpg: 640x480 1 cat, 1 couch, 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_231919.jpg: 640x480 1 cat, 1 mouse, 8.9ms\n",
|
|
"Speed: 3.0ms preprocess, 8.9ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_231920.jpg: 640x480 1 cat, 8.0ms\n",
|
|
"Speed: 3.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_235311.jpg: 640x480 1 cat, 1 bowl, 12.1ms\n",
|
|
"Speed: 3.0ms preprocess, 12.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_235315.jpg: 640x480 1 cat, 10.4ms\n",
|
|
"Speed: 3.6ms preprocess, 10.4ms inference, 4.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_235317.jpg: 640x480 1 cat, 1 bowl, 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090846.jpg: 640x480 1 cat, 19.0ms\n",
|
|
"Speed: 4.5ms preprocess, 19.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090900.jpg: 640x480 1 cat, 19.9ms\n",
|
|
"Speed: 5.0ms preprocess, 19.9ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090907.jpg: 640x480 1 cat, 20.0ms\n",
|
|
"Speed: 4.0ms preprocess, 20.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090911.jpg: 640x480 1 cat, 32.0ms\n",
|
|
"Speed: 5.0ms preprocess, 32.0ms inference, 5.9ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090915.jpg: 640x480 1 person, 1 dog, 34.8ms\n",
|
|
"Speed: 5.0ms preprocess, 34.8ms inference, 11.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180307.jpg: 640x480 2 cats, 25.4ms\n",
|
|
"Speed: 5.0ms preprocess, 25.4ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180310.jpg: 640x480 2 cats, 1 handbag, 1 suitcase, 27.1ms\n",
|
|
"Speed: 4.0ms preprocess, 27.1ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180316.jpg: 640x480 1 cat, 1 couch, 25.0ms\n",
|
|
"Speed: 3.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180318.jpg: 640x480 1 cat, 1 book, 24.2ms\n",
|
|
"Speed: 4.0ms preprocess, 24.2ms inference, 5.8ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180331.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 3.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180334.jpg: 640x480 1 cat, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180528.jpg: 640x480 1 dog, 214.6ms\n",
|
|
"Speed: 6.0ms preprocess, 214.6ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180532.jpg: 640x480 1 cat, 16.7ms\n",
|
|
"Speed: 4.0ms preprocess, 16.7ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180534.jpg: 640x480 (no detections), 11.7ms\n",
|
|
"Speed: 3.0ms preprocess, 11.7ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180536.jpg: 640x480 (no detections), 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180542.jpg: 640x480 1 person, 18.0ms\n",
|
|
"Speed: 3.0ms preprocess, 18.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180847.jpg: 640x480 1 cat, 33.8ms\n",
|
|
"Speed: 4.0ms preprocess, 33.8ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180849.jpg: 640x480 2 cats, 1 suitcase, 42.0ms\n",
|
|
"Speed: 4.0ms preprocess, 42.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180853.jpg: 640x480 1 cat, 1 couch, 118.4ms\n",
|
|
"Speed: 5.0ms preprocess, 118.4ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180937.jpg: 640x480 1 cat, 12.0ms\n",
|
|
"Speed: 2.0ms preprocess, 12.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180939.jpg: 640x480 1 cat, 10.0ms\n",
|
|
"Speed: 4.0ms preprocess, 10.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_193135.jpg: 640x480 1 person, 3 cats, 1 dog, 2 chairs, 9.1ms\n",
|
|
"Speed: 4.0ms preprocess, 9.1ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_193136.jpg: 640x480 1 person, 4 cats, 12.0ms\n",
|
|
"Speed: 4.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_213919(0).jpg: 640x480 1 cat, 1 chair, 18.0ms\n",
|
|
"Speed: 4.0ms preprocess, 18.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_213919.jpg: 640x480 1 cat, 1 chair, 1 couch, 1 bed, 26.0ms\n",
|
|
"Speed: 4.9ms preprocess, 26.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_223849.jpg: 640x480 1 cat, 1 chair, 1 bed, 29.0ms\n",
|
|
"Speed: 3.0ms preprocess, 29.0ms inference, 9.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_223851.jpg: 640x480 1 cat, 1 cup, 2 chairs, 1 tv, 1 book, 88.0ms\n",
|
|
"Speed: 4.0ms preprocess, 88.0ms inference, 15.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240603_225020(0).jpg: 640x480 1 cat, 1 dog, 15.0ms\n",
|
|
"Speed: 3.0ms preprocess, 15.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240603_225020.jpg: 640x480 1 cat, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240603_225023.jpg: 640x480 1 dog, 13.1ms\n",
|
|
"Speed: 3.0ms preprocess, 13.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240603_225026.jpg: 640x480 1 dog, 11.0ms\n",
|
|
"Speed: 2.0ms preprocess, 11.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240603_225027.jpg: 640x480 1 dog, 15.0ms\n",
|
|
"Speed: 4.0ms preprocess, 15.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192457.jpg: 640x480 1 cat, 1 couch, 16.0ms\n",
|
|
"Speed: 4.1ms preprocess, 16.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192458(0).jpg: 640x480 1 cat, 1 couch, 43.0ms\n",
|
|
"Speed: 6.0ms preprocess, 43.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192458.jpg: 640x480 1 cat, 1 couch, 89.2ms\n",
|
|
"Speed: 10.0ms preprocess, 89.2ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192459(0).jpg: 640x480 1 cat, 1 couch, 20.1ms\n",
|
|
"Speed: 3.0ms preprocess, 20.1ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192459.jpg: 640x480 1 cat, 1 couch, 56.0ms\n",
|
|
"Speed: 8.0ms preprocess, 56.0ms inference, 11.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192501(0).jpg: 640x480 1 cat, 1 couch, 78.0ms\n",
|
|
"Speed: 6.0ms preprocess, 78.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192501.jpg: 640x480 1 cat, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192502(0).jpg: 640x480 1 cat, 1 couch, 13.0ms\n",
|
|
"Speed: 3.0ms preprocess, 13.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192502.jpg: 640x480 1 cat, 1 couch, 13.0ms\n",
|
|
"Speed: 4.0ms preprocess, 13.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192503.jpg: 640x480 1 cat, 1 dog, 1 couch, 11.0ms\n",
|
|
"Speed: 4.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192504.jpg: 640x480 1 cat, 1 bed, 13.0ms\n",
|
|
"Speed: 4.0ms preprocess, 13.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192505.jpg: 640x480 1 cat, 1 bed, 16.0ms\n",
|
|
"Speed: 4.0ms preprocess, 16.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192506.jpg: 640x480 1 cat, 1 couch, 1 bed, 42.0ms\n",
|
|
"Speed: 4.0ms preprocess, 42.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192508.jpg: 640x480 1 cat, 121.6ms\n",
|
|
"Speed: 5.7ms preprocess, 121.6ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192509.jpg: 640x480 1 cat, 1 bed, 36.3ms\n",
|
|
"Speed: 4.2ms preprocess, 36.3ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192510.jpg: 640x480 1 dog, 1 bed, 49.0ms\n",
|
|
"Speed: 6.0ms preprocess, 49.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192511.jpg: 640x480 1 dog, 2 beds, 27.0ms\n",
|
|
"Speed: 44.0ms preprocess, 27.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192512(0).jpg: 640x480 1 cat, 1 dog, 1 bed, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192512.jpg: 640x480 1 dog, 1 bed, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192513.jpg: 640x480 1 cat, 1 remote, 24.8ms\n",
|
|
"Speed: 5.0ms preprocess, 24.8ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192514.jpg: 640x480 1 cat, 1 bed, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192515(0).jpg: 640x480 1 cat, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192515.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192533.jpg: 640x480 1 cat, 1 bed, 144.5ms\n",
|
|
"Speed: 5.0ms preprocess, 144.5ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192534(0).jpg: 640x480 1 cat, 53.3ms\n",
|
|
"Speed: 5.0ms preprocess, 53.3ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192534.jpg: 640x480 1 cat, 65.0ms\n",
|
|
"Speed: 4.5ms preprocess, 65.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192535.jpg: 640x480 1 cat, 70.8ms\n",
|
|
"Speed: 4.0ms preprocess, 70.8ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192537.jpg: 640x480 1 cat, 1 bed, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192538(0).jpg: 640x480 1 cat, 28.0ms\n",
|
|
"Speed: 4.0ms preprocess, 28.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192538.jpg: 640x480 1 cat, 1 couch, 1 bed, 38.0ms\n",
|
|
"Speed: 5.6ms preprocess, 38.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192539(0).jpg: 640x480 1 cat, 32.0ms\n",
|
|
"Speed: 3.5ms preprocess, 32.0ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192539.jpg: 640x480 1 cat, 92.7ms\n",
|
|
"Speed: 3.0ms preprocess, 92.7ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192542.jpg: 640x480 1 cat, 27.0ms\n",
|
|
"Speed: 4.0ms preprocess, 27.0ms inference, 9.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192544.jpg: 640x480 1 cat, 1 couch, 1 bed, 23.0ms\n",
|
|
"Speed: 6.1ms preprocess, 23.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205057.jpg: 640x480 1 cat, 1 book, 41.0ms\n",
|
|
"Speed: 4.0ms preprocess, 41.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205103.jpg: 640x480 1 cat, 34.6ms\n",
|
|
"Speed: 3.0ms preprocess, 34.6ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205105.jpg: 640x480 1 cat, 46.8ms\n",
|
|
"Speed: 5.0ms preprocess, 46.8ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205110.jpg: 640x480 1 cat, 40.0ms\n",
|
|
"Speed: 6.0ms preprocess, 40.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205113.jpg: 640x480 1 cat, 51.0ms\n",
|
|
"Speed: 4.0ms preprocess, 51.0ms inference, 7.7ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205119.jpg: 480x640 1 cat, 27.6ms\n",
|
|
"Speed: 5.0ms preprocess, 27.6ms inference, 4.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205121.jpg: 480x640 1 cat, 29.0ms\n",
|
|
"Speed: 4.0ms preprocess, 29.0ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240623_192721.jpg: 640x480 2 cats, 1 dog, 35.8ms\n",
|
|
"Speed: 6.0ms preprocess, 35.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240624_200545.jpg: 640x480 1 cat, 1 bottle, 1 potted plant, 46.0ms\n",
|
|
"Speed: 4.0ms preprocess, 46.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240624_200548.jpg: 640x480 1 cat, 115.1ms\n",
|
|
"Speed: 4.0ms preprocess, 115.1ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240624_200549.jpg: 640x480 1 cat, 9.0ms\n",
|
|
"Speed: 2.0ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012349.jpg: 640x480 1 cat, 10.0ms\n",
|
|
"Speed: 2.0ms preprocess, 10.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012352.jpg: 640x480 1 cat, 12.0ms\n",
|
|
"Speed: 2.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012400.jpg: 640x480 1 cat, 21.3ms\n",
|
|
"Speed: 3.0ms preprocess, 21.3ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012402.jpg: 640x480 1 cat, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012407.jpg: 640x480 1 cat, 15.0ms\n",
|
|
"Speed: 5.0ms preprocess, 15.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012408.jpg: 640x480 1 cat, 35.0ms\n",
|
|
"Speed: 5.0ms preprocess, 35.0ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_231410.jpg: 640x480 1 cat, 23.8ms\n",
|
|
"Speed: 4.0ms preprocess, 23.8ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_231412.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 6.0ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_231413.jpg: 640x480 1 cat, 1 tv, 159.3ms\n",
|
|
"Speed: 5.0ms preprocess, 159.3ms inference, 10.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240704_202652.jpg: 640x480 1 cat, 1 dog, 8.0ms\n",
|
|
"Speed: 4.0ms preprocess, 8.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240711_221427.jpg: 640x480 1 cat, 19.0ms\n",
|
|
"Speed: 3.0ms preprocess, 19.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240711_221435.jpg: 640x480 3 cats, 18.1ms\n",
|
|
"Speed: 3.0ms preprocess, 18.1ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165019.jpg: 640x480 1 cat, 2 potted plants, 1 bed, 1 vase, 35.0ms\n",
|
|
"Speed: 4.0ms preprocess, 35.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165021.jpg: 640x480 2 cats, 1 couch, 5 potted plants, 1 bed, 1 tv, 1 vase, 22.0ms\n",
|
|
"Speed: 3.7ms preprocess, 22.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165025.jpg: 640x480 1 cat, 7 potted plants, 2 beds, 1 vase, 25.0ms\n",
|
|
"Speed: 3.5ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165028.jpg: 640x480 1 cat, 1 bottle, 2 cups, 1 chair, 3 potted plants, 1 bed, 1 vase, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165029.jpg: 640x480 1 cat, 3 potted plants, 1 bed, 3 vases, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165031.jpg: 640x480 1 cat, 6 potted plants, 1 bed, 3 vases, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165033.jpg: 640x480 2 cats, 1 cup, 1 chair, 2 potted plants, 1 tv, 1 keyboard, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165040.jpg: 640x480 1 cat, 1 chair, 2 potted plants, 1 bed, 1 vase, 26.3ms\n",
|
|
"Speed: 5.0ms preprocess, 26.3ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_224858.jpg: 640x480 1 cat, 1 bed, 24.0ms\n",
|
|
"Speed: 4.0ms preprocess, 24.0ms inference, 5.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_224902.jpg: 640x480 1 cat, 1 bed, 25.6ms\n",
|
|
"Speed: 4.0ms preprocess, 25.6ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_224903.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_224905.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 6.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240725_133737.jpg: 640x480 1 person, 1 cup, 77.5ms\n",
|
|
"Speed: 4.0ms preprocess, 77.5ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240726_225449.jpg: 640x480 1 bench, 2 cats, 8.0ms\n",
|
|
"Speed: 3.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240727_085826.jpg: 640x480 1 person, 1 cat, 14.0ms\n",
|
|
"Speed: 3.0ms preprocess, 14.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240802_203206.jpg: 640x480 1 cat, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102342.jpg: 480x640 2 persons, 1 cat, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102347.jpg: 480x640 1 person, 2 cats, 10.3ms\n",
|
|
"Speed: 3.0ms preprocess, 10.3ms inference, 2.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102351.jpg: 480x640 2 persons, 2 cats, 9.0ms\n",
|
|
"Speed: 4.0ms preprocess, 9.0ms inference, 1.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102354.jpg: 480x640 2 persons, 1 cat, 1 suitcase, 17.0ms\n",
|
|
"Speed: 5.0ms preprocess, 17.0ms inference, 4.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102402.jpg: 480x640 1 cat, 1 umbrella, 11.0ms\n",
|
|
"Speed: 4.6ms preprocess, 11.0ms inference, 3.4ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102407.jpg: 480x640 2 persons, 1 cat, 16.0ms\n",
|
|
"Speed: 4.0ms preprocess, 16.0ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102411.jpg: 480x640 1 person, 1 cat, 20.1ms\n",
|
|
"Speed: 4.0ms preprocess, 20.1ms inference, 4.5ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102415.jpg: 480x640 1 person, 1 cat, 18.1ms\n",
|
|
"Speed: 4.0ms preprocess, 18.1ms inference, 3.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_113806.jpg: 640x480 1 person, 1 cat, 2 suitcases, 27.0ms\n",
|
|
"Speed: 4.0ms preprocess, 27.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_145117.jpg: 640x480 1 cat, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_145118.jpg: 640x480 1 cat, 41.0ms\n",
|
|
"Speed: 9.1ms preprocess, 41.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171056.jpg: 640x480 1 cat, 1 chair, 3 books, 49.9ms\n",
|
|
"Speed: 6.0ms preprocess, 49.9ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171058.jpg: 640x480 1 cat, 1 chair, 2 books, 25.0ms\n",
|
|
"Speed: 3.0ms preprocess, 25.0ms inference, 5.3ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171100.jpg: 640x480 1 dog, 3 books, 111.5ms\n",
|
|
"Speed: 3.0ms preprocess, 111.5ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171104.jpg: 640x480 1 cat, 1 suitcase, 1 chair, 4 books, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 5.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171110.jpg: 640x480 1 cat, 1 suitcase, 6 books, 24.0ms\n",
|
|
"Speed: 5.0ms preprocess, 24.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171111.jpg: 640x480 1 cat, 1 chair, 3 books, 79.0ms\n",
|
|
"Speed: 7.0ms preprocess, 79.0ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_203211.jpg: 640x480 2 cats, 24.0ms\n",
|
|
"Speed: 4.0ms preprocess, 24.0ms inference, 5.6ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_203213.jpg: 640x480 2 cats, 1 dog, 25.5ms\n",
|
|
"Speed: 4.0ms preprocess, 25.5ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_203217.jpg: 640x480 2 cats, 24.8ms\n",
|
|
"Speed: 5.0ms preprocess, 24.8ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_203219.jpg: 640x480 2 cats, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_164652.jpg: 640x480 1 cat, 1 cake, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_164655.jpg: 640x480 2 cats, 24.3ms\n",
|
|
"Speed: 5.0ms preprocess, 24.3ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_171436.jpg: 640x480 1 cat, 1 cup, 2 bowls, 1 book, 101.6ms\n",
|
|
"Speed: 9.5ms preprocess, 101.6ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_171438.jpg: 640x480 1 cat, 2 bowls, 9.8ms\n",
|
|
"Speed: 3.0ms preprocess, 9.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_171443.jpg: 640x480 1 cat, 2 bowls, 16.5ms\n",
|
|
"Speed: 4.5ms preprocess, 16.5ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_173348.jpg: 640x480 1 cat, 10.0ms\n",
|
|
"Speed: 2.0ms preprocess, 10.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_173355.jpg: 640x480 1 cat, 8.0ms\n",
|
|
"Speed: 3.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_173426.jpg: 480x640 1 cat, 13.0ms\n",
|
|
"Speed: 3.0ms preprocess, 13.0ms inference, 1.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211309.jpg: 640x480 2 cats, 43.0ms\n",
|
|
"Speed: 5.0ms preprocess, 43.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211312.jpg: 640x480 1 cat, 62.0ms\n",
|
|
"Speed: 4.0ms preprocess, 62.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211313.jpg: 640x480 1 cat, 23.0ms\n",
|
|
"Speed: 4.0ms preprocess, 23.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211320.jpg: 640x480 1 cat, 59.0ms\n",
|
|
"Speed: 5.0ms preprocess, 59.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211321.jpg: 640x480 1 cat, 37.5ms\n",
|
|
"Speed: 5.0ms preprocess, 37.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211322.jpg: 640x480 1 cat, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211330.jpg: 640x480 2 cats, 3 chairs, 9.2ms\n",
|
|
"Speed: 2.0ms preprocess, 9.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211333.jpg: 640x480 1 cat, 1 chair, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240820_144924.jpg: 640x480 1 bench, 1 cat, 10.5ms\n",
|
|
"Speed: 2.0ms preprocess, 10.5ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240820_145200.jpg: 640x480 1 bench, 1 cat, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144759.jpg: 640x480 1 cat, 2 chairs, 1 book, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144801.jpg: 640x480 1 cat, 1 book, 15.0ms\n",
|
|
"Speed: 4.0ms preprocess, 15.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144802.jpg: 640x480 (no detections), 24.0ms\n",
|
|
"Speed: 4.0ms preprocess, 24.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144806.jpg: 640x480 1 cat, 1 dog, 1 tie, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144808.jpg: 640x480 1 cat, 1 dog, 24.9ms\n",
|
|
"Speed: 4.0ms preprocess, 24.9ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144856.jpg: 640x480 1 person, 25.5ms\n",
|
|
"Speed: 4.5ms preprocess, 25.5ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144935.jpg: 640x480 2 cats, 1 dog, 1 chair, 24.0ms\n",
|
|
"Speed: 5.0ms preprocess, 24.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145212.jpg: 640x480 2 persons, 3 dogs, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145214.jpg: 640x480 2 persons, 2 cats, 1 chair, 26.1ms\n",
|
|
"Speed: 4.0ms preprocess, 26.1ms inference, 3.9ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145834.jpg: 640x480 2 cats, 1 dog, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145836.jpg: 640x480 2 cats, 1 chair, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145837.jpg: 640x480 2 cats, 1 dog, 71.4ms\n",
|
|
"Speed: 4.0ms preprocess, 71.4ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145839.jpg: 640x480 2 cats, 1 dog, 23.0ms\n",
|
|
"Speed: 4.0ms preprocess, 23.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145844.jpg: 640x480 2 cats, 1 dog, 56.2ms\n",
|
|
"Speed: 7.0ms preprocess, 56.2ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145846.jpg: 640x480 1 person, 1 cat, 1 dog, 1 suitcase, 13.7ms\n",
|
|
"Speed: 3.0ms preprocess, 13.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145849.jpg: 640x480 2 cats, 1 chair, 8.0ms\n",
|
|
"Speed: 3.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150802.jpg: 640x480 1 teddy bear, 8.0ms\n",
|
|
"Speed: 2.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150805.jpg: 640x480 1 teddy bear, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150807.jpg: 480x640 1 cat, 9.0ms\n",
|
|
"Speed: 4.1ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150810.jpg: 480x640 1 person, 2 cats, 9.0ms\n",
|
|
"Speed: 3.0ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150813.jpg: 480x640 1 person, 1 cat, 1 couch, 21.0ms\n",
|
|
"Speed: 3.0ms preprocess, 21.0ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150852.jpg: 640x480 1 cat, 23.6ms\n",
|
|
"Speed: 4.0ms preprocess, 23.6ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_152201.jpg: 640x480 2 cats, 1 dog, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_152205.jpg: 640x480 2 cats, 28.0ms\n",
|
|
"Speed: 4.0ms preprocess, 28.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_152211.jpg: 640x480 2 cats, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_152212.jpg: 640x480 1 cat, 1 dog, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240827_224300.jpg: 640x480 1 cat, 1 couch, 129.6ms\n",
|
|
"Speed: 6.0ms preprocess, 129.6ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240827_224303.jpg: 640x480 1 cat, 66.0ms\n",
|
|
"Speed: 5.0ms preprocess, 66.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240828_102222.jpg: 640x480 1 cat, 1 chair, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240828_102229.jpg: 640x480 1 cat, 7.0ms\n",
|
|
"Speed: 2.0ms preprocess, 7.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211802.jpg: 640x480 1 cat, 9.0ms\n",
|
|
"Speed: 2.5ms preprocess, 9.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211803.jpg: 640x480 1 cat, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211811.jpg: 640x480 1 cat, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211818.jpg: 640x480 1 cat, 1 dog, 1 couch, 1 bed, 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211821.jpg: 640x480 1 person, 1 cat, 1 frisbee, 1 chair, 1 bed, 90.7ms\n",
|
|
"Speed: 12.0ms preprocess, 90.7ms inference, 9.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240907_115059.jpg: 480x640 1 cat, 1 couch, 1 bed, 20.2ms\n",
|
|
"Speed: 4.0ms preprocess, 20.2ms inference, 3.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240907_115105.jpg: 480x640 1 cat, 2 beds, 19.0ms\n",
|
|
"Speed: 5.0ms preprocess, 19.0ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240907_115118.jpg: 480x640 1 cat, 1 bed, 20.0ms\n",
|
|
"Speed: 4.0ms preprocess, 20.0ms inference, 4.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_190713.jpg: 640x480 1 cat, 2 beds, 28.0ms\n",
|
|
"Speed: 4.0ms preprocess, 28.0ms inference, 9.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_190829.jpg: 640x480 1 cat, 1 bed, 159.9ms\n",
|
|
"Speed: 4.0ms preprocess, 159.9ms inference, 10.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_194734.jpg: 640x480 (no detections), 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_194737.jpg: 640x480 2 cats, 70.8ms\n",
|
|
"Speed: 4.0ms preprocess, 70.8ms inference, 3.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_194739.jpg: 640x480 2 cats, 8.0ms\n",
|
|
"Speed: 2.0ms preprocess, 8.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_194752.jpg: 640x480 1 cat, 1 bed, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_194753.jpg: 640x480 1 handbag, 1 bed, 14.0ms\n",
|
|
"Speed: 3.0ms preprocess, 14.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240909_000642.jpg: 480x640 1 cat, 1 chair, 1 bed, 14.0ms\n",
|
|
"Speed: 4.0ms preprocess, 14.0ms inference, 3.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240909_000646.jpg: 480x640 2 cats, 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 2.5ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124611.jpg: 640x480 1 cat, 1 bed, 27.3ms\n",
|
|
"Speed: 4.0ms preprocess, 27.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124612.jpg: 640x480 1 cat, 1 dog, 1 bed, 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124619.jpg: 640x480 1 person, 1 bed, 1 teddy bear, 62.9ms\n",
|
|
"Speed: 5.0ms preprocess, 62.9ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124621.jpg: 640x480 1 person, 1 bed, 1 teddy bear, 41.0ms\n",
|
|
"Speed: 4.0ms preprocess, 41.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124624.jpg: 640x480 1 dog, 24.0ms\n",
|
|
"Speed: 4.0ms preprocess, 24.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124720.jpg: 640x480 1 bench, 1 cat, 1 bed, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124723.jpg: 640x480 1 cat, 74.1ms\n",
|
|
"Speed: 5.0ms preprocess, 74.1ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124734.jpg: 640x480 1 cat, 2 beds, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124738.jpg: 640x480 1 cat, 1 bed, 25.0ms\n",
|
|
"Speed: 4.6ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124741.jpg: 640x480 1 cat, 1 couch, 1 bed, 26.7ms\n",
|
|
"Speed: 4.0ms preprocess, 26.7ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091314.jpg: 640x480 1 cat, 39.0ms\n",
|
|
"Speed: 5.0ms preprocess, 39.0ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091319.jpg: 640x480 1 cat, 39.0ms\n",
|
|
"Speed: 5.0ms preprocess, 39.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091320.jpg: 640x480 1 cat, 25.2ms\n",
|
|
"Speed: 3.0ms preprocess, 25.2ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091321.jpg: 640x480 (no detections), 24.5ms\n",
|
|
"Speed: 4.9ms preprocess, 24.5ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091322.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 5.3ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091323.jpg: 640x480 1 cat, 142.5ms\n",
|
|
"Speed: 6.0ms preprocess, 142.5ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091329.jpg: 480x640 1 cat, 21.0ms\n",
|
|
"Speed: 4.7ms preprocess, 21.0ms inference, 2.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091845.jpg: 640x480 1 cat, 27.0ms\n",
|
|
"Speed: 5.0ms preprocess, 27.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091846.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091848.jpg: 640x480 1 bird, 1 cat, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091850.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 3.7ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091852.jpg: 640x480 1 bird, 1 cat, 26.0ms\n",
|
|
"Speed: 4.0ms preprocess, 26.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091859.jpg: 640x480 1 cat, 25.1ms\n",
|
|
"Speed: 4.0ms preprocess, 25.1ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091902.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091905.jpg: 640x480 1 cat, 25.6ms\n",
|
|
"Speed: 4.1ms preprocess, 25.6ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_193740.jpg: 640x480 1 cat, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_193742.jpg: 640x480 1 cat, 24.6ms\n",
|
|
"Speed: 4.0ms preprocess, 24.6ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174138.jpg: 640x480 1 chair, 1 bed, 1 mouse, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174140.jpg: 640x480 2 surfboards, 40.5ms\n",
|
|
"Speed: 3.0ms preprocess, 40.5ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174204.jpg: 640x480 1 cat, 1 toilet, 98.7ms\n",
|
|
"Speed: 5.0ms preprocess, 98.7ms inference, 10.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174614.jpg: 640x480 2 cats, 1 laptop, 76.9ms\n",
|
|
"Speed: 4.0ms preprocess, 76.9ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174616.jpg: 640x480 1 cat, 20.4ms\n",
|
|
"Speed: 4.0ms preprocess, 20.4ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174617.jpg: 640x480 1 person, 26.0ms\n",
|
|
"Speed: 3.0ms preprocess, 26.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174620.jpg: 640x480 1 person, 146.7ms\n",
|
|
"Speed: 5.0ms preprocess, 146.7ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
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"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174622.jpg: 640x480 1 person, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174636.jpg: 640x480 1 person, 1 cat, 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_215106.jpg: 640x480 1 cat, 1 bed, 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_215113.jpg: 640x480 1 person, 1 cat, 1 bottle, 1 chair, 1 bed, 1 tv, 11.0ms\n",
|
|
"Speed: 2.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_215119.jpg: 640x480 1 cat, 1 bottle, 1 bed, 1 tv, 15.0ms\n",
|
|
"Speed: 3.0ms preprocess, 15.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240920_192026.jpg: 640x480 1 cat, 16.0ms\n",
|
|
"Speed: 3.0ms preprocess, 16.0ms inference, 5.7ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240924_111824.jpg: 480x640 1 cat, 20.0ms\n",
|
|
"Speed: 4.0ms preprocess, 20.0ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240924_111829.jpg: 480x640 1 cat, 22.5ms\n",
|
|
"Speed: 3.0ms preprocess, 22.5ms inference, 4.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240924_111831.jpg: 480x640 1 cat, 1 chair, 32.4ms\n",
|
|
"Speed: 4.0ms preprocess, 32.4ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162434.jpg: 640x480 2 cats, 1 potted plant, 34.0ms\n",
|
|
"Speed: 7.0ms preprocess, 34.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162437.jpg: 640x480 1 cat, 1 potted plant, 47.5ms\n",
|
|
"Speed: 5.0ms preprocess, 47.5ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162442.jpg: 640x480 1 person, 1 cat, 34.0ms\n",
|
|
"Speed: 5.0ms preprocess, 34.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162443.jpg: 640x480 1 person, 1 cat, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162445.jpg: 640x480 1 person, 1 cat, 256.1ms\n",
|
|
"Speed: 4.0ms preprocess, 256.1ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162452.jpg: 640x480 1 person, 1 cat, 13.0ms\n",
|
|
"Speed: 4.0ms preprocess, 13.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162458.jpg: 640x480 1 cat, 2 chairs, 2 potted plants, 16.7ms\n",
|
|
"Speed: 4.0ms preprocess, 16.7ms inference, 2.7ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162500.jpg: 640x480 1 cat, 13.5ms\n",
|
|
"Speed: 3.0ms preprocess, 13.5ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162503.jpg: 640x480 1 cat, 1 chair, 2 potted plants, 22.0ms\n",
|
|
"Speed: 6.0ms preprocess, 22.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_100748.jpg: 480x640 2 persons, 1 cat, 19.0ms\n",
|
|
"Speed: 4.0ms preprocess, 19.0ms inference, 4.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_101009.jpg: 640x480 1 cat, 33.0ms\n",
|
|
"Speed: 4.0ms preprocess, 33.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_101010.jpg: 640x480 1 dog, 38.0ms\n",
|
|
"Speed: 4.0ms preprocess, 38.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_101012.jpg: 640x480 1 umbrella, 44.5ms\n",
|
|
"Speed: 4.0ms preprocess, 44.5ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_101014.jpg: 640x480 1 cat, 59.4ms\n",
|
|
"Speed: 4.0ms preprocess, 59.4ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_101016.jpg: 640x480 1 cat, 32.0ms\n",
|
|
"Speed: 4.0ms preprocess, 32.0ms inference, 44.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_184523.jpg: 480x640 1 cat, 25.0ms\n",
|
|
"Speed: 5.0ms preprocess, 25.0ms inference, 4.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240930_151252.jpg: 640x480 3 persons, 1 dog, 1 teddy bear, 37.7ms\n",
|
|
"Speed: 4.0ms preprocess, 37.7ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240930_151259.jpg: 640x480 1 cat, 43.7ms\n",
|
|
"Speed: 4.0ms preprocess, 43.7ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241002_212916.jpg: 640x480 2 cats, 58.8ms\n",
|
|
"Speed: 5.0ms preprocess, 58.8ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241002_212925.jpg: 640x480 2 cats, 1 handbag, 54.4ms\n",
|
|
"Speed: 4.0ms preprocess, 54.4ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241002_212949.jpg: 640x480 2 cats, 47.6ms\n",
|
|
"Speed: 4.0ms preprocess, 47.6ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241004_112619.jpg: 640x480 1 cat, 1 bowl, 1 potted plant, 54.0ms\n",
|
|
"Speed: 4.0ms preprocess, 54.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241004_112626.jpg: 640x480 1 cat, 1 bowl, 38.8ms\n",
|
|
"Speed: 6.6ms preprocess, 38.8ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094705.jpg: 640x480 1 cat, 1 bowl, 39.0ms\n",
|
|
"Speed: 4.5ms preprocess, 39.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094939.jpg: 640x480 1 cat, 1 dog, 1 couch, 49.5ms\n",
|
|
"Speed: 4.0ms preprocess, 49.5ms inference, 6.8ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094940.jpg: 640x480 2 cats, 32.0ms\n",
|
|
"Speed: 4.0ms preprocess, 32.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241009_121555.jpg: 640x480 2 beds, 67.6ms\n",
|
|
"Speed: 8.7ms preprocess, 67.6ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241009_121558.jpg: 640x480 1 cat, 1 suitcase, 67.9ms\n",
|
|
"Speed: 4.0ms preprocess, 67.9ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241009_121601.jpg: 640x480 2 persons, 34.0ms\n",
|
|
"Speed: 4.0ms preprocess, 34.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191519.jpg: 640x480 1 cat, 94.8ms\n",
|
|
"Speed: 5.0ms preprocess, 94.8ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191520.jpg: 640x480 1 cat, 65.0ms\n",
|
|
"Speed: 5.0ms preprocess, 65.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191523.jpg: 640x480 1 cat, 66.0ms\n",
|
|
"Speed: 5.0ms preprocess, 66.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191525.jpg: 640x480 1 cat, 101.4ms\n",
|
|
"Speed: 4.0ms preprocess, 101.4ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191527.jpg: 640x480 1 cat, 1 sink, 19.0ms\n",
|
|
"Speed: 4.0ms preprocess, 19.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191529.jpg: 640x480 1 cat, 28.6ms\n",
|
|
"Speed: 7.0ms preprocess, 28.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_132210.jpg: 640x480 1 cat, 13.0ms\n",
|
|
"Speed: 4.0ms preprocess, 13.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_132216.jpg: 640x480 1 cat, 20.0ms\n",
|
|
"Speed: 3.0ms preprocess, 20.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_132218.jpg: 640x480 1 dog, 18.5ms\n",
|
|
"Speed: 5.0ms preprocess, 18.5ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_184948.jpg: 640x480 1 cat, 23.0ms\n",
|
|
"Speed: 4.0ms preprocess, 23.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_184949.jpg: 640x480 1 cat, 1 bowl, 70.8ms\n",
|
|
"Speed: 6.0ms preprocess, 70.8ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241022_023307.jpg: 640x480 1 cat, 1 bottle, 65.0ms\n",
|
|
"Speed: 4.0ms preprocess, 65.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241024_134452.jpg: 640x480 1 cat, 1 bed, 21.0ms\n",
|
|
"Speed: 5.0ms preprocess, 21.0ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241101_145241.jpg: 640x480 1 cat, 1 bed, 27.0ms\n",
|
|
"Speed: 4.0ms preprocess, 27.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_195434.jpg: 640x480 1 person, 1 cat, 1 chair, 114.2ms\n",
|
|
"Speed: 6.0ms preprocess, 114.2ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_195439.jpg: 640x480 1 person, 1 cat, 1 chair, 56.0ms\n",
|
|
"Speed: 4.0ms preprocess, 56.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_200624.jpg: 640x480 2 persons, 2 cats, 1 bowl, 1 bed, 103.2ms\n",
|
|
"Speed: 6.0ms preprocess, 103.2ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_200626.jpg: 640x480 1 person, 1 cat, 24.0ms\n",
|
|
"Speed: 4.0ms preprocess, 24.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241124_214430.jpg: 640x480 1 bottle, 1 bed, 21.0ms\n",
|
|
"Speed: 4.0ms preprocess, 21.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241124_220257.jpg: 640x480 1 cat, 1 bowl, 1 bed, 117.5ms\n",
|
|
"Speed: 5.0ms preprocess, 117.5ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241124_220259.jpg: 640x480 1 cat, 1 bed, 1 dining table, 11.0ms\n",
|
|
"Speed: 4.0ms preprocess, 11.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241129_085724.jpg: 640x480 1 bench, 13.0ms\n",
|
|
"Speed: 4.0ms preprocess, 13.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241206_164037.jpg: 640x480 1 person, 1 cat, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241206_164040.jpg: 640x480 2 cats, 12.0ms\n",
|
|
"Speed: 2.0ms preprocess, 12.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241217_102418.jpg: 640x480 1 cat, 1 bowl, 15.0ms\n",
|
|
"Speed: 5.0ms preprocess, 15.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132045.jpg: 640x480 1 cat, 1 bed, 16.0ms\n",
|
|
"Speed: 3.0ms preprocess, 16.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132051.jpg: 640x480 2 cats, 42.0ms\n",
|
|
"Speed: 6.0ms preprocess, 42.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132058.jpg: 640x480 2 cats, 69.5ms\n",
|
|
"Speed: 5.5ms preprocess, 69.5ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132101.jpg: 480x640 2 cats, 55.1ms\n",
|
|
"Speed: 4.0ms preprocess, 55.1ms inference, 5.0ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132106.jpg: 480x640 1 cat, 17.6ms\n",
|
|
"Speed: 6.0ms preprocess, 17.6ms inference, 4.5ms postprocess per image at shape (1, 3, 480, 640)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241224_180740.jpg: 640x480 (no detections), 43.2ms\n",
|
|
"Speed: 4.0ms preprocess, 43.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_130054.jpg: 640x480 1 cat, 1 bowl, 1 couch, 1 bed, 62.9ms\n",
|
|
"Speed: 4.6ms preprocess, 62.9ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134500.jpg: 640x480 1 cat, 1 toilet, 49.9ms\n",
|
|
"Speed: 4.0ms preprocess, 49.9ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134517.jpg: 640x480 1 bear, 1 toilet, 37.5ms\n",
|
|
"Speed: 6.0ms preprocess, 37.5ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134521.jpg: 640x480 1 person, 59.3ms\n",
|
|
"Speed: 6.0ms preprocess, 59.3ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134625.jpg: 640x480 (no detections), 176.1ms\n",
|
|
"Speed: 5.0ms preprocess, 176.1ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134627.jpg: 640x480 1 cat, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134634.jpg: 640x480 1 dog, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134635.jpg: 640x480 2 teddy bears, 15.1ms\n",
|
|
"Speed: 3.0ms preprocess, 15.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135201.jpg: 640x480 1 cat, 12.0ms\n",
|
|
"Speed: 3.0ms preprocess, 12.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135214.jpg: 640x480 (no detections), 15.0ms\n",
|
|
"Speed: 3.2ms preprocess, 15.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135215.jpg: 640x480 1 dog, 1 chair, 36.9ms\n",
|
|
"Speed: 4.0ms preprocess, 36.9ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135219.jpg: 640x480 1 person, 1 bicycle, 1 cat, 1 dog, 58.0ms\n",
|
|
"Speed: 5.0ms preprocess, 58.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135343(0).jpg: 640x480 1 cat, 3 chairs, 47.0ms\n",
|
|
"Speed: 4.0ms preprocess, 47.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135343.jpg: 640x480 2 cats, 1 chair, 59.6ms\n",
|
|
"Speed: 3.0ms preprocess, 59.6ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135345.jpg: 640x480 1 cat, 1 chair, 72.6ms\n",
|
|
"Speed: 4.0ms preprocess, 72.6ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135347.jpg: 640x480 2 cats, 1 dog, 58.0ms\n",
|
|
"Speed: 4.0ms preprocess, 58.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135352.jpg: 640x480 1 cat, 42.0ms\n",
|
|
"Speed: 4.0ms preprocess, 42.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135354.jpg: 640x480 1 cat, 65.0ms\n",
|
|
"Speed: 6.0ms preprocess, 65.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135707.jpg: 640x480 3 chairs, 1 bed, 104.3ms\n",
|
|
"Speed: 6.0ms preprocess, 104.3ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135708.jpg: 640x480 2 chairs, 12.1ms\n",
|
|
"Speed: 3.0ms preprocess, 12.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135710.jpg: 640x480 1 cat, 2 chairs, 16.4ms\n",
|
|
"Speed: 3.0ms preprocess, 16.4ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135712.jpg: 640x480 1 cat, 1 chair, 13.1ms\n",
|
|
"Speed: 4.0ms preprocess, 13.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_140923.jpg: 640x480 (no detections), 11.0ms\n",
|
|
"Speed: 3.0ms preprocess, 11.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_140924.jpg: 640x480 2 persons, 14.0ms\n",
|
|
"Speed: 3.0ms preprocess, 14.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241227_150819.jpg: 640x480 1 person, 1 cat, 1 tv, 17.0ms\n",
|
|
"Speed: 3.0ms preprocess, 17.0ms inference, 4.4ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241227_150826.jpg: 640x480 1 person, 1 cat, 1 chair, 1 tv, 1 laptop, 15.0ms\n",
|
|
"Speed: 4.0ms preprocess, 15.0ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143721.jpg: 640x480 2 cats, 2 chairs, 43.0ms\n",
|
|
"Speed: 6.0ms preprocess, 43.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143723.jpg: 640x480 1 cat, 31.0ms\n",
|
|
"Speed: 5.0ms preprocess, 31.0ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143727.jpg: 640x480 2 cats, 42.6ms\n",
|
|
"Speed: 5.0ms preprocess, 42.6ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203850.jpg: 640x480 2 cats, 1 sports ball, 59.5ms\n",
|
|
"Speed: 6.0ms preprocess, 59.5ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203857.jpg: 640x480 2 persons, 1 cat, 57.4ms\n",
|
|
"Speed: 4.0ms preprocess, 57.4ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203858.jpg: 640x480 1 cat, 1 teddy bear, 38.0ms\n",
|
|
"Speed: 4.0ms preprocess, 38.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203900.jpg: 640x480 1 dog, 1 book, 66.0ms\n",
|
|
"Speed: 6.0ms preprocess, 66.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203903.jpg: 640x480 1 sheep, 1 sports ball, 55.5ms\n",
|
|
"Speed: 6.0ms preprocess, 55.5ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174816.jpg: 640x480 1 person, 1 cat, 43.0ms\n",
|
|
"Speed: 4.0ms preprocess, 43.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174818.jpg: 640x480 (no detections), 36.4ms\n",
|
|
"Speed: 4.0ms preprocess, 36.4ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174833.jpg: 640x480 1 person, 1 teddy bear, 45.0ms\n",
|
|
"Speed: 5.0ms preprocess, 45.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174904.jpg: 640x480 1 person, 1 chair, 1 tv, 1 clock, 1 teddy bear, 40.1ms\n",
|
|
"Speed: 4.0ms preprocess, 40.1ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174905.jpg: 640x480 1 person, 1 chair, 1 tv, 2 teddy bears, 39.5ms\n",
|
|
"Speed: 4.0ms preprocess, 39.5ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174908.jpg: 640x480 1 person, 1 tv, 1 teddy bear, 60.6ms\n",
|
|
"Speed: 5.0ms preprocess, 60.6ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174912.jpg: 640x480 1 person, 2 chairs, 1 dining table, 1 teddy bear, 55.0ms\n",
|
|
"Speed: 7.0ms preprocess, 55.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174913.jpg: 640x480 1 person, 1 chair, 1 teddy bear, 60.2ms\n",
|
|
"Speed: 4.0ms preprocess, 60.2ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174915.jpg: 640x480 1 person, 2 chairs, 1 teddy bear, 68.1ms\n",
|
|
"Speed: 5.6ms preprocess, 68.1ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174920.jpg: 640x480 1 person, 3 chairs, 1 tv, 41.0ms\n",
|
|
"Speed: 4.0ms preprocess, 41.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174949(0).jpg: 640x480 1 person, 1 couch, 1 bed, 46.5ms\n",
|
|
"Speed: 5.0ms preprocess, 46.5ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174949.jpg: 640x480 1 person, 1 couch, 1 bed, 1 book, 53.6ms\n",
|
|
"Speed: 5.0ms preprocess, 53.6ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_175124.jpg: 640x480 (no detections), 53.0ms\n",
|
|
"Speed: 4.0ms preprocess, 53.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250117_172955.jpg: 640x480 1 person, 1 cat, 1 bed, 52.1ms\n",
|
|
"Speed: 4.0ms preprocess, 52.1ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250120_225956.jpg: 640x480 1 cat, 49.8ms\n",
|
|
"Speed: 5.0ms preprocess, 49.8ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250121_190039.jpg: 640x480 1 cat, 1 dog, 62.0ms\n",
|
|
"Speed: 6.0ms preprocess, 62.0ms inference, 8.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250121_190043.jpg: 640x480 2 cats, 1 chair, 65.4ms\n",
|
|
"Speed: 6.0ms preprocess, 65.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250121_190046.jpg: 640x480 1 dog, 1 chair, 3 books, 11.0ms\n",
|
|
"Speed: 2.0ms preprocess, 11.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142944.jpg: 640x480 3 cats, 1 bed, 11.5ms\n",
|
|
"Speed: 3.0ms preprocess, 11.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142946.jpg: 640x480 4 cats, 1 bed, 14.0ms\n",
|
|
"Speed: 4.0ms preprocess, 14.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142948.jpg: 640x480 3 cats, 2 beds, 10.0ms\n",
|
|
"Speed: 3.0ms preprocess, 10.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142949.jpg: 640x480 2 cats, 1 bed, 18.0ms\n",
|
|
"Speed: 3.0ms preprocess, 18.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142953.jpg: 640x480 2 cats, 1 potted plant, 1 bed, 17.0ms\n",
|
|
"Speed: 5.0ms preprocess, 17.0ms inference, 3.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142958.jpg: 640x480 1 cat, 2 beds, 28.0ms\n",
|
|
"Speed: 4.0ms preprocess, 28.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_191929.jpg: 640x480 1 dog, 2 books, 34.3ms\n",
|
|
"Speed: 4.0ms preprocess, 34.3ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG-20240730-WA0005.jpg: 640x480 2 persons, 1 couch, 45.4ms\n",
|
|
"Speed: 5.0ms preprocess, 45.4ms inference, 7.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG_20240318_231934_252.webp: 640x384 1 cat, 34.5ms\n",
|
|
"Speed: 3.0ms preprocess, 34.5ms inference, 4.0ms postprocess per image at shape (1, 3, 640, 384)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG_20241207_211456_238.jpg: 640x480 1 person, 1 cat, 1 bed, 63.9ms\n",
|
|
"Speed: 5.0ms preprocess, 63.9ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG_20241229_221404_122.jpg: 640x512 1 person, 2 dogs, 81.0ms\n",
|
|
"Speed: 6.0ms preprocess, 81.0ms inference, 5.0ms postprocess per image at shape (1, 3, 640, 512)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict2\u001b[0m\n",
|
|
"Processed all images. YOLO format bounding boxes saved to output/\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Iterate through images in the dataset folder\n",
|
|
"for image_name in os.listdir(images_folder):\n",
|
|
" image_path = os.path.join(images_folder, image_name)\n",
|
|
" image = cv2.imread(image_path)\n",
|
|
"\n",
|
|
" # Run YOLO inference\n",
|
|
" results = model.predict(source=image_path, save=True)\n",
|
|
"\n",
|
|
" # Prepare a list to collect bounding box data for YOLO format\n",
|
|
" bounding_boxes = []\n",
|
|
"\n",
|
|
" # Get the image dimensions for normalization\n",
|
|
" image_height, image_width, _ = image.shape\n",
|
|
"\n",
|
|
" # Iterate over the results to get bounding boxes\n",
|
|
" for result in results:\n",
|
|
" boxes = result.boxes # List of detected boxes\n",
|
|
"\n",
|
|
" for box in boxes:\n",
|
|
" # Get coordinates, class id, and confidence score\n",
|
|
" x_min, y_min, x_max, y_max = map(int, box.xyxy[0]) # Bounding box coordinates\n",
|
|
" class_id = int(box.cls[0]) # Class id\n",
|
|
"\n",
|
|
" # Store the bounding box details\n",
|
|
" bounding_boxes.append({\n",
|
|
" \"class_id\": class_id,\n",
|
|
" \"x_min\": x_min,\n",
|
|
" \"y_min\": y_min,\n",
|
|
" \"x_max\": x_max,\n",
|
|
" \"y_max\": y_max\n",
|
|
" })\n",
|
|
"\n",
|
|
" # Save the bounding boxes to a YOLO format .txt file\n",
|
|
" yolo_txt_filename = os.path.join(output_folder, f\"{image_name.split('.')[0]}.txt\")\n",
|
|
" save_yolo_format(bounding_boxes, yolo_txt_filename, image_width, image_height)\n",
|
|
"\n",
|
|
" # Optionally: Draw bounding boxes on the image (to save as visual feedback)\n",
|
|
" for box in bounding_boxes:\n",
|
|
" x_min, y_min, x_max, y_max = box[\"x_min\"], box[\"y_min\"], box[\"x_max\"], box[\"y_max\"]\n",
|
|
" cv2.rectangle(image, (x_min, y_min), (x_max, y_max), (0, 255, 0), 2)\n",
|
|
"\n",
|
|
"print(f\"Processed all images. YOLO format bounding boxes saved to {output_folder}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"image 1/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\1818949000-IMG-20240118-WA0001.jpg: 640x384 1 cat, 1 chair, 28.4ms\n",
|
|
"image 2/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_103335.jpg: 640x480 1 cat, 1 bear, 2 chairs, 84.9ms\n",
|
|
"image 3/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_141622.jpg: 640x480 1 person, 2 cats, 145.9ms\n",
|
|
"image 4/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_184600.jpg: 640x480 1 person, 1 cat, 1 remote, 1 book, 1 teddy bear, 77.2ms\n",
|
|
"image 5/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_195833.jpg: 640x480 1 cat, 1 bed, 56.5ms\n",
|
|
"image 6/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200052.jpg: 640x480 1 person, 1 cat, 68.0ms\n",
|
|
"image 7/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200057.jpg: 640x480 1 cat, 1 bed, 48.0ms\n",
|
|
"image 8/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200102.jpg: 640x480 1 person, 1 cat, 1 bed, 41.0ms\n",
|
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"image 9/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201439.jpg: 640x480 1 cat, 49.0ms\n",
|
|
"image 10/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201442.jpg: 640x480 1 cat, 1 bottle, 73.7ms\n",
|
|
"image 11/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201443.jpg: 640x480 1 cat, 1 bottle, 66.1ms\n",
|
|
"image 12/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201446.jpg: 640x480 1 cat, 1 bed, 73.9ms\n",
|
|
"image 13/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201447.jpg: 640x480 1 cat, 1 dog, 67.5ms\n",
|
|
"image 14/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201448.jpg: 640x480 1 cat, 1 dog, 17.0ms\n",
|
|
"image 15/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201452.jpg: 640x480 1 cat, 1 handbag, 24.8ms\n",
|
|
"image 16/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201454.jpg: 640x480 1 cat, 1 dog, 28.0ms\n",
|
|
"image 17/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201458.jpg: 640x480 1 cat, 1 handbag, 25.0ms\n",
|
|
"image 18/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201503.jpg: 640x480 1 dog, 1 handbag, 33.0ms\n",
|
|
"image 19/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201510.jpg: 640x480 1 cat, 1 handbag, 25.0ms\n",
|
|
"image 20/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_232857.jpg: 640x480 1 cat, 1 suitcase, 27.0ms\n",
|
|
"image 21/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240310_140207.jpg: 640x480 1 cat, 97.6ms\n",
|
|
"image 22/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195350.jpg: 640x480 1 cat, 1 handbag, 1 bed, 17.0ms\n",
|
|
"image 23/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195352.jpg: 640x480 1 cat, 10.0ms\n",
|
|
"image 24/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195357.jpg: 640x480 1 cat, 1 chair, 16.0ms\n",
|
|
"image 25/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195403.jpg: 640x480 1 cat, 14.0ms\n",
|
|
"image 26/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_180219.jpg: 640x480 1 cat, 1 couch, 13.8ms\n",
|
|
"image 27/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185655.jpg: 640x480 1 cat, 1 toilet, 11.0ms\n",
|
|
"image 28/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185658.jpg: 640x480 2 cats, 17.0ms\n",
|
|
"image 29/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185700.jpg: 640x480 4 cats, 1 bowl, 12.0ms\n",
|
|
"image 30/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185702.jpg: 640x480 2 cats, 13.0ms\n",
|
|
"image 31/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185718(0).jpg: 640x480 2 cats, 1 bowl, 1 chair, 11.0ms\n",
|
|
"image 32/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185718.jpg: 640x480 2 cats, 1 bowl, 11.0ms\n",
|
|
"image 33/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185719.jpg: 640x480 1 cat, 14.0ms\n",
|
|
"image 34/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185729.jpg: 640x480 1 cat, 21.0ms\n",
|
|
"image 35/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185730.jpg: 640x480 1 cat, 1 chair, 18.0ms\n",
|
|
"image 36/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185733.jpg: 640x480 1 cat, 18.5ms\n",
|
|
"image 37/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185734.jpg: 640x480 1 cat, 1 chair, 14.0ms\n",
|
|
"image 38/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240313_203246.jpg: 640x480 1 person, 1 cat, 1 bed, 63.7ms\n",
|
|
"image 39/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240313_203248.jpg: 640x480 1 cat, 40.4ms\n",
|
|
"image 40/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_170048.jpg: 640x480 1 cat, 14.8ms\n",
|
|
"image 41/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_170048_remastered.jpg: 640x480 1 cat, 1 dog, 15.0ms\n",
|
|
"image 42/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_171004.jpg: 640x480 1 cat, 18.0ms\n",
|
|
"image 43/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_171030.jpg: 640x480 1 dog, 19.2ms\n",
|
|
"image 44/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191222.jpg: 640x480 1 cat, 1 chair, 20.5ms\n",
|
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"image 45/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191224(0).jpg: 640x480 1 cat, 1 umbrella, 22.0ms\n",
|
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"image 46/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191224.jpg: 640x480 1 cat, 1 bottle, 23.0ms\n",
|
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"image 47/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191225.jpg: 640x480 1 cat, 25.0ms\n",
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"image 456/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241002_212949.jpg: 640x480 2 cats, 12.0ms\n",
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"image 457/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241004_112619.jpg: 640x480 1 cat, 1 bowl, 1 potted plant, 11.0ms\n",
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"image 458/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241004_112626.jpg: 640x480 1 cat, 1 bowl, 14.0ms\n",
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"image 459/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094705.jpg: 640x480 1 cat, 1 bowl, 30.0ms\n",
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"image 460/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094939.jpg: 640x480 1 cat, 1 dog, 1 couch, 30.5ms\n",
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"image 461/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094940.jpg: 640x480 2 cats, 20.3ms\n",
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"image 462/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241009_121555.jpg: 640x480 2 beds, 37.0ms\n",
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"image 463/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241009_121558.jpg: 640x480 1 cat, 1 suitcase, 62.5ms\n",
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"image 464/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241009_121601.jpg: 640x480 2 persons, 61.0ms\n",
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"image 465/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191519.jpg: 640x480 1 cat, 45.0ms\n",
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"image 466/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191520.jpg: 640x480 1 cat, 33.0ms\n",
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"image 467/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191523.jpg: 640x480 1 cat, 64.2ms\n",
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"image 468/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191525.jpg: 640x480 1 cat, 30.0ms\n",
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"image 469/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191527.jpg: 640x480 1 cat, 1 sink, 28.0ms\n",
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"image 470/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191529.jpg: 640x480 1 cat, 52.8ms\n",
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"image 471/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_132210.jpg: 640x480 1 cat, 102.6ms\n",
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"image 472/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_132216.jpg: 640x480 1 cat, 10.0ms\n",
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"image 473/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_132218.jpg: 640x480 1 dog, 12.0ms\n",
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"image 474/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_184948.jpg: 640x480 1 cat, 12.0ms\n",
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"image 475/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_184949.jpg: 640x480 1 cat, 1 bowl, 12.0ms\n",
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"image 476/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241022_023307.jpg: 640x480 1 cat, 1 bottle, 12.7ms\n",
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"image 477/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241024_134452.jpg: 640x480 1 cat, 1 bed, 11.0ms\n",
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"image 479/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_195434.jpg: 640x480 1 person, 1 cat, 1 chair, 11.0ms\n",
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"image 480/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_195439.jpg: 640x480 1 person, 1 cat, 1 chair, 11.0ms\n",
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"image 481/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_200624.jpg: 640x480 2 persons, 2 cats, 1 bowl, 1 bed, 13.0ms\n",
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"image 482/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_200626.jpg: 640x480 1 person, 1 cat, 12.0ms\n",
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"image 483/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241124_214430.jpg: 640x480 1 bottle, 1 bed, 11.0ms\n",
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"image 484/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241124_220257.jpg: 640x480 1 cat, 1 bowl, 1 bed, 13.0ms\n",
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"image 485/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241124_220259.jpg: 640x480 1 cat, 1 bed, 1 dining table, 15.4ms\n",
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"image 486/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241129_085724.jpg: 640x480 1 bench, 22.0ms\n",
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"image 487/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241206_164037.jpg: 640x480 1 person, 1 cat, 17.0ms\n",
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"image 488/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241206_164040.jpg: 640x480 2 cats, 16.0ms\n",
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"image 489/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241217_102418.jpg: 640x480 1 cat, 1 bowl, 17.1ms\n",
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"image 490/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132045.jpg: 640x480 1 cat, 1 bed, 22.0ms\n",
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"image 491/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132051.jpg: 640x480 2 cats, 20.0ms\n",
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"image 492/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132058.jpg: 640x480 2 cats, 24.0ms\n",
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"image 493/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132101.jpg: 480x640 2 cats, 20.0ms\n",
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"image 494/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132106.jpg: 480x640 1 cat, 27.5ms\n",
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"image 495/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241224_180740.jpg: 640x480 (no detections), 30.0ms\n",
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"image 496/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_130054.jpg: 640x480 1 cat, 1 bowl, 1 couch, 1 bed, 53.0ms\n",
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"image 497/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134500.jpg: 640x480 1 cat, 1 toilet, 45.7ms\n",
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"image 498/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134517.jpg: 640x480 1 bear, 1 toilet, 34.0ms\n",
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"image 499/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134521.jpg: 640x480 1 person, 56.5ms\n",
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"image 500/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134625.jpg: 640x480 (no detections), 61.1ms\n",
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"image 501/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134627.jpg: 640x480 1 cat, 48.0ms\n",
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"image 502/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134634.jpg: 640x480 1 dog, 33.0ms\n",
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"image 503/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134635.jpg: 640x480 2 teddy bears, 32.0ms\n",
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"image 504/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135201.jpg: 640x480 1 cat, 121.9ms\n",
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"image 505/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135214.jpg: 640x480 (no detections), 44.0ms\n",
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"image 506/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135215.jpg: 640x480 1 dog, 1 chair, 24.0ms\n",
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"image 507/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135219.jpg: 640x480 1 person, 1 bicycle, 1 cat, 1 dog, 26.0ms\n",
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"image 508/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135343(0).jpg: 640x480 1 cat, 3 chairs, 29.0ms\n",
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"image 509/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135343.jpg: 640x480 2 cats, 1 chair, 25.0ms\n",
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"image 510/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135345.jpg: 640x480 1 cat, 1 chair, 21.8ms\n",
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"image 511/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135347.jpg: 640x480 2 cats, 1 dog, 20.9ms\n",
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"image 512/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135352.jpg: 640x480 1 cat, 28.0ms\n",
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"image 513/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135354.jpg: 640x480 1 cat, 40.5ms\n",
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"image 514/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135707.jpg: 640x480 3 chairs, 1 bed, 27.0ms\n",
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"image 515/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135708.jpg: 640x480 2 chairs, 29.0ms\n",
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"image 516/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135710.jpg: 640x480 1 cat, 2 chairs, 27.0ms\n",
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"image 517/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135712.jpg: 640x480 1 cat, 1 chair, 29.0ms\n",
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"image 518/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_140923.jpg: 640x480 (no detections), 30.5ms\n",
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"image 519/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_140924.jpg: 640x480 2 persons, 27.0ms\n",
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"image 520/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241227_150819.jpg: 640x480 1 person, 1 cat, 1 tv, 50.2ms\n",
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"image 521/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241227_150826.jpg: 640x480 1 person, 1 cat, 1 chair, 1 tv, 1 laptop, 40.0ms\n",
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"image 522/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143721.jpg: 640x480 2 cats, 2 chairs, 31.0ms\n",
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"image 523/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143723.jpg: 640x480 1 cat, 43.8ms\n",
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"image 524/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143727.jpg: 640x480 2 cats, 30.0ms\n",
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"image 525/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203850.jpg: 640x480 2 cats, 1 sports ball, 39.4ms\n",
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"image 526/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203857.jpg: 640x480 2 persons, 1 cat, 27.0ms\n",
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"image 527/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203858.jpg: 640x480 1 cat, 1 teddy bear, 27.1ms\n",
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"image 528/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203900.jpg: 640x480 1 dog, 1 book, 34.0ms\n",
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"image 529/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203903.jpg: 640x480 1 sheep, 1 sports ball, 26.0ms\n",
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"image 530/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174816.jpg: 640x480 1 person, 1 cat, 30.0ms\n",
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"image 531/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174818.jpg: 640x480 (no detections), 25.9ms\n",
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"image 532/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174833.jpg: 640x480 1 person, 1 teddy bear, 33.0ms\n",
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"image 533/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174904.jpg: 640x480 1 person, 1 chair, 1 tv, 1 clock, 1 teddy bear, 31.0ms\n",
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"image 534/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174905.jpg: 640x480 1 person, 1 chair, 1 tv, 2 teddy bears, 31.0ms\n",
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"image 535/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174908.jpg: 640x480 1 person, 1 tv, 1 teddy bear, 29.1ms\n",
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"image 536/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174912.jpg: 640x480 1 person, 2 chairs, 1 dining table, 1 teddy bear, 27.0ms\n",
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"image 537/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174913.jpg: 640x480 1 person, 1 chair, 1 teddy bear, 31.0ms\n",
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"image 538/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174915.jpg: 640x480 1 person, 2 chairs, 1 teddy bear, 27.0ms\n",
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"image 539/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174920.jpg: 640x480 1 person, 3 chairs, 1 tv, 26.0ms\n",
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"image 540/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174949(0).jpg: 640x480 1 person, 1 couch, 1 bed, 33.0ms\n",
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"image 541/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174949.jpg: 640x480 1 person, 1 couch, 1 bed, 1 book, 27.0ms\n",
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"image 542/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_175124.jpg: 640x480 (no detections), 28.0ms\n",
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"image 543/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250117_172955.jpg: 640x480 1 person, 1 cat, 1 bed, 29.0ms\n",
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"image 544/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250120_225956.jpg: 640x480 1 cat, 26.9ms\n",
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"image 545/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250121_190039.jpg: 640x480 1 cat, 1 dog, 28.3ms\n",
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"image 546/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250121_190043.jpg: 640x480 2 cats, 1 chair, 32.0ms\n",
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"image 547/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250121_190046.jpg: 640x480 1 dog, 1 chair, 3 books, 30.1ms\n",
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"image 548/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142944.jpg: 640x480 3 cats, 1 bed, 30.0ms\n",
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"image 549/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142946.jpg: 640x480 4 cats, 1 bed, 33.0ms\n",
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"image 550/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142948.jpg: 640x480 3 cats, 2 beds, 25.3ms\n",
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"image 551/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142949.jpg: 640x480 2 cats, 1 bed, 31.0ms\n",
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"image 552/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142953.jpg: 640x480 2 cats, 1 potted plant, 1 bed, 27.2ms\n",
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"image 553/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142958.jpg: 640x480 1 cat, 2 beds, 29.5ms\n",
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"image 554/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_191929.jpg: 640x480 1 dog, 2 books, 44.6ms\n",
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"image 555/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG-20240730-WA0005.jpg: 640x480 2 persons, 1 couch, 32.0ms\n",
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"image 556/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG_20240318_231934_252.webp: 640x384 1 cat, 22.0ms\n",
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"image 557/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG_20241207_211456_238.jpg: 640x480 1 person, 1 cat, 1 bed, 34.0ms\n",
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"image 558/558 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG_20241229_221404_122.jpg: 640x512 1 person, 2 dogs, 29.7ms\n",
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"Speed: 4.4ms preprocess, 31.3ms inference, 4.4ms postprocess per image at shape (1, 3, 640, 512)\n"
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]
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}
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],
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"source": [
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"results = model.predict(source=images_folder, save=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Saved cropped cat image: output/cropped/cat_1.jpg\n",
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"Saved cropped cat image: output/cropped/cat_2.jpg\n",
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"Saved cropped cat image: output/cropped/cat_45.jpg\n",
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"Saved cropped cat image: output/cropped/cat_46.jpg\n",
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"Saved cropped cat image: output/cropped/cat_57.jpg\n",
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"Saved cropped cat image: output/cropped/cat_58.jpg\n",
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"Saved cropped cat image: output/cropped/cat_59.jpg\n",
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"Saved cropped cat image: output/cropped/cat_60.jpg\n",
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"Saved cropped cat image: output/cropped/cat_61.jpg\n",
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"Saved cropped cat image: output/cropped/cat_62.jpg\n",
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"Saved cropped cat image: output/cropped/cat_63.jpg\n",
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"Saved cropped cat image: output/cropped/cat_64.jpg\n",
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"Saved cropped cat image: output/cropped/cat_65.jpg\n",
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"Saved cropped cat image: output/cropped/cat_66.jpg\n",
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"Saved cropped cat image: output/cropped/cat_67.jpg\n",
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"Saved cropped cat image: output/cropped/cat_68.jpg\n",
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"Saved cropped cat image: output/cropped/cat_69.jpg\n",
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"Saved cropped cat image: output/cropped/cat_70.jpg\n",
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"Saved cropped cat image: output/cropped/cat_71.jpg\n",
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"Saved cropped cat image: output/cropped/cat_72.jpg\n",
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"Saved cropped cat image: output/cropped/cat_73.jpg\n",
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"Saved cropped cat image: output/cropped/cat_74.jpg\n",
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"Saved cropped cat image: output/cropped/cat_75.jpg\n",
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"Saved cropped cat image: output/cropped/cat_76.jpg\n",
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"Saved cropped cat image: output/cropped/cat_77.jpg\n",
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"Saved cropped cat image: output/cropped/cat_78.jpg\n",
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"Saved cropped cat image: output/cropped/cat_79.jpg\n",
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"Saved cropped cat image: output/cropped/cat_80.jpg\n",
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"Saved cropped cat image: output/cropped/cat_81.jpg\n",
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"Saved cropped cat image: output/cropped/cat_82.jpg\n",
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"Saved cropped cat image: output/cropped/cat_83.jpg\n",
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"Saved cropped cat image: output/cropped/cat_84.jpg\n",
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"Saved cropped cat image: output/cropped/cat_85.jpg\n",
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"Saved cropped cat image: output/cropped/cat_86.jpg\n",
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"Saved cropped cat image: output/cropped/cat_87.jpg\n",
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"Saved cropped cat image: output/cropped/cat_88.jpg\n",
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"Saved cropped cat image: output/cropped/cat_89.jpg\n",
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"Saved cropped cat image: output/cropped/cat_90.jpg\n",
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"Saved cropped cat image: output/cropped/cat_91.jpg\n",
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"Saved cropped cat image: output/cropped/cat_92.jpg\n",
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"Saved cropped cat image: output/cropped/cat_93.jpg\n",
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"Saved cropped cat image: output/cropped/cat_94.jpg\n",
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"Saved cropped cat image: output/cropped/cat_95.jpg\n",
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"Saved cropped cat image: output/cropped/cat_96.jpg\n",
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"Saved cropped cat image: output/cropped/cat_97.jpg\n",
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"Saved cropped cat image: output/cropped/cat_98.jpg\n",
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"Saved cropped cat image: output/cropped/cat_99.jpg\n",
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"Saved cropped cat image: output/cropped/cat_100.jpg\n",
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"Saved cropped cat image: output/cropped/cat_101.jpg\n",
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"Saved cropped cat image: output/cropped/cat_102.jpg\n",
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"Saved cropped cat image: output/cropped/cat_103.jpg\n",
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"Saved cropped cat image: output/cropped/cat_104.jpg\n",
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"Saved cropped cat image: output/cropped/cat_105.jpg\n",
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"Saved cropped cat image: output/cropped/cat_106.jpg\n",
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"Saved cropped cat image: output/cropped/cat_107.jpg\n",
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"Saved cropped cat image: output/cropped/cat_108.jpg\n",
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"Saved cropped cat image: output/cropped/cat_109.jpg\n",
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"Saved cropped cat image: output/cropped/cat_110.jpg\n",
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"Saved cropped cat image: output/cropped/cat_111.jpg\n",
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"Saved cropped cat image: output/cropped/cat_112.jpg\n",
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"Saved cropped cat image: output/cropped/cat_113.jpg\n",
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"Saved cropped cat image: output/cropped/cat_114.jpg\n",
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"Saved cropped cat image: output/cropped/cat_115.jpg\n",
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"Saved cropped cat image: output/cropped/cat_116.jpg\n",
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"Saved cropped cat image: output/cropped/cat_117.jpg\n",
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"Saved cropped cat image: output/cropped/cat_118.jpg\n",
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"Saved cropped cat image: output/cropped/cat_119.jpg\n",
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"Saved cropped cat image: output/cropped/cat_120.jpg\n",
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"Saved cropped cat image: output/cropped/cat_121.jpg\n",
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"Saved cropped cat image: output/cropped/cat_122.jpg\n",
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"Saved cropped cat image: output/cropped/cat_123.jpg\n",
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"Saved cropped cat image: output/cropped/cat_124.jpg\n",
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"Saved cropped cat image: output/cropped/cat_125.jpg\n",
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"Saved cropped cat image: output/cropped/cat_126.jpg\n",
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"Saved cropped cat image: output/cropped/cat_127.jpg\n",
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"Saved cropped cat image: output/cropped/cat_128.jpg\n",
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"Saved cropped cat image: output/cropped/cat_129.jpg\n",
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"Saved cropped cat image: output/cropped/cat_130.jpg\n",
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"Saved cropped cat image: output/cropped/cat_131.jpg\n",
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"Saved cropped cat image: output/cropped/cat_132.jpg\n",
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"Saved cropped cat image: output/cropped/cat_133.jpg\n",
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"Saved cropped cat image: output/cropped/cat_134.jpg\n",
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"Saved cropped cat image: output/cropped/cat_135.jpg\n",
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"Saved cropped cat image: output/cropped/cat_136.jpg\n",
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"Saved cropped cat image: output/cropped/cat_137.jpg\n",
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"Saved cropped cat image: output/cropped/cat_138.jpg\n",
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"Saved cropped cat image: output/cropped/cat_139.jpg\n",
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"Saved cropped cat image: output/cropped/cat_140.jpg\n",
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"Saved cropped cat image: output/cropped/cat_141.jpg\n",
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"Saved cropped cat image: output/cropped/cat_142.jpg\n",
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"Saved cropped cat image: output/cropped/cat_143.jpg\n",
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"Saved cropped cat image: output/cropped/cat_144.jpg\n",
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"Saved cropped cat image: output/cropped/cat_145.jpg\n",
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"Saved cropped cat image: output/cropped/cat_146.jpg\n",
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"Saved cropped cat image: output/cropped/cat_147.jpg\n",
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"Saved cropped cat image: output/cropped/cat_148.jpg\n",
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"Saved cropped cat image: output/cropped/cat_149.jpg\n",
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"Saved cropped cat image: output/cropped/cat_150.jpg\n",
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"Saved cropped cat image: output/cropped/cat_151.jpg\n",
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"Saved cropped cat image: output/cropped/cat_152.jpg\n",
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"Saved cropped cat image: output/cropped/cat_153.jpg\n",
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"Saved cropped cat image: output/cropped/cat_154.jpg\n",
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"Saved cropped cat image: output/cropped/cat_155.jpg\n",
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"Saved cropped cat image: output/cropped/cat_156.jpg\n",
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"Saved cropped cat image: output/cropped/cat_157.jpg\n",
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"Saved cropped cat image: output/cropped/cat_158.jpg\n",
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"Saved cropped cat image: output/cropped/cat_159.jpg\n",
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"Saved cropped cat image: output/cropped/cat_160.jpg\n",
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"Saved cropped cat image: output/cropped/cat_161.jpg\n",
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"Saved cropped cat image: output/cropped/cat_162.jpg\n",
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"Saved cropped cat image: output/cropped/cat_163.jpg\n",
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"Saved cropped cat image: output/cropped/cat_164.jpg\n",
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"Saved cropped cat image: output/cropped/cat_165.jpg\n",
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"Saved cropped cat image: output/cropped/cat_166.jpg\n",
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"Saved cropped cat image: output/cropped/cat_167.jpg\n",
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"Saved cropped cat image: output/cropped/cat_168.jpg\n",
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"Saved cropped cat image: output/cropped/cat_169.jpg\n",
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"Saved cropped cat image: output/cropped/cat_170.jpg\n",
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"Saved cropped cat image: output/cropped/cat_171.jpg\n",
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"Saved cropped cat image: output/cropped/cat_172.jpg\n",
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"Saved cropped cat image: output/cropped/cat_173.jpg\n",
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"Saved cropped cat image: output/cropped/cat_174.jpg\n",
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"Saved cropped cat image: output/cropped/cat_175.jpg\n",
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"Saved cropped cat image: output/cropped/cat_176.jpg\n",
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"Saved cropped cat image: output/cropped/cat_177.jpg\n",
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"Saved cropped cat image: output/cropped/cat_178.jpg\n",
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"Saved cropped cat image: output/cropped/cat_179.jpg\n",
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"Saved cropped cat image: output/cropped/cat_180.jpg\n",
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"Saved cropped cat image: output/cropped/cat_181.jpg\n",
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"Saved cropped cat image: output/cropped/cat_182.jpg\n",
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"Saved cropped cat image: output/cropped/cat_183.jpg\n",
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"Saved cropped cat image: output/cropped/cat_184.jpg\n",
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"Saved cropped cat image: output/cropped/cat_185.jpg\n",
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"Saved cropped cat image: output/cropped/cat_186.jpg\n",
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"Saved cropped cat image: output/cropped/cat_187.jpg\n",
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"Saved cropped cat image: output/cropped/cat_188.jpg\n",
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"Saved cropped cat image: output/cropped/cat_189.jpg\n",
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"Saved cropped cat image: output/cropped/cat_190.jpg\n",
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"Saved cropped cat image: output/cropped/cat_191.jpg\n",
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"Saved cropped cat image: output/cropped/cat_192.jpg\n",
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"Saved cropped cat image: output/cropped/cat_193.jpg\n",
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"Saved cropped cat image: output/cropped/cat_194.jpg\n",
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"Saved cropped cat image: output/cropped/cat_195.jpg\n",
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"Saved cropped cat image: output/cropped/cat_196.jpg\n",
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"Saved cropped cat image: output/cropped/cat_197.jpg\n",
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"Saved cropped cat image: output/cropped/cat_198.jpg\n",
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"Saved cropped cat image: output/cropped/cat_199.jpg\n",
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"Saved cropped cat image: output/cropped/cat_200.jpg\n",
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"Saved cropped cat image: output/cropped/cat_201.jpg\n",
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"Saved cropped cat image: output/cropped/cat_202.jpg\n",
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"Saved cropped cat image: output/cropped/cat_203.jpg\n",
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"Saved cropped cat image: output/cropped/cat_204.jpg\n",
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"Saved cropped cat image: output/cropped/cat_205.jpg\n",
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"Saved cropped cat image: output/cropped/cat_206.jpg\n",
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"Saved cropped cat image: output/cropped/cat_207.jpg\n",
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"Saved cropped cat image: output/cropped/cat_208.jpg\n",
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"Saved cropped cat image: output/cropped/cat_209.jpg\n",
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"Saved cropped cat image: output/cropped/cat_210.jpg\n",
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"Saved cropped cat image: output/cropped/cat_211.jpg\n",
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"Saved cropped cat image: output/cropped/cat_212.jpg\n",
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"Saved cropped cat image: output/cropped/cat_213.jpg\n",
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"Saved cropped cat image: output/cropped/cat_214.jpg\n",
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"Saved cropped cat image: output/cropped/cat_215.jpg\n",
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"Saved cropped cat image: output/cropped/cat_216.jpg\n",
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"Saved cropped cat image: output/cropped/cat_217.jpg\n",
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"Saved cropped cat image: output/cropped/cat_218.jpg\n",
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"Saved cropped cat image: output/cropped/cat_219.jpg\n",
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"Saved cropped cat image: output/cropped/cat_220.jpg\n",
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"Saved cropped cat image: output/cropped/cat_221.jpg\n",
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"Saved cropped cat image: output/cropped/cat_222.jpg\n",
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"Saved cropped cat image: output/cropped/cat_223.jpg\n",
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"Saved cropped cat image: output/cropped/cat_224.jpg\n",
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"Saved cropped cat image: output/cropped/cat_225.jpg\n",
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"Saved cropped cat image: output/cropped/cat_226.jpg\n",
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"Saved cropped cat image: output/cropped/cat_227.jpg\n",
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"Saved cropped cat image: output/cropped/cat_228.jpg\n",
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"Saved cropped cat image: output/cropped/cat_229.jpg\n",
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"Saved cropped cat image: output/cropped/cat_230.jpg\n",
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"Saved cropped cat image: output/cropped/cat_231.jpg\n",
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"Saved cropped cat image: output/cropped/cat_232.jpg\n",
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"Saved cropped cat image: output/cropped/cat_233.jpg\n",
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"Saved cropped cat image: output/cropped/cat_234.jpg\n",
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"Saved cropped cat image: output/cropped/cat_235.jpg\n",
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"Saved cropped cat image: output/cropped/cat_236.jpg\n",
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"Saved cropped cat image: output/cropped/cat_237.jpg\n",
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"Saved cropped cat image: output/cropped/cat_238.jpg\n",
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"Saved cropped cat image: output/cropped/cat_239.jpg\n",
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"Saved cropped cat image: output/cropped/cat_240.jpg\n",
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"Saved cropped cat image: output/cropped/cat_241.jpg\n",
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"Saved cropped cat image: output/cropped/cat_242.jpg\n",
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"Saved cropped cat image: output/cropped/cat_243.jpg\n",
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"Saved cropped cat image: output/cropped/cat_244.jpg\n",
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"Saved cropped cat image: output/cropped/cat_245.jpg\n",
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"Saved cropped cat image: output/cropped/cat_246.jpg\n",
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"Saved cropped cat image: output/cropped/cat_247.jpg\n",
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"Saved cropped cat image: output/cropped/cat_248.jpg\n",
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"Saved cropped cat image: output/cropped/cat_249.jpg\n",
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"Saved cropped cat image: output/cropped/cat_250.jpg\n",
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"Saved cropped cat image: output/cropped/cat_251.jpg\n",
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"Saved cropped cat image: output/cropped/cat_252.jpg\n",
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"Saved cropped cat image: output/cropped/cat_253.jpg\n",
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"Saved cropped cat image: output/cropped/cat_254.jpg\n",
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"Saved cropped cat image: output/cropped/cat_255.jpg\n",
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"Saved cropped cat image: output/cropped/cat_256.jpg\n",
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"Saved cropped cat image: output/cropped/cat_257.jpg\n",
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"Saved cropped cat image: output/cropped/cat_258.jpg\n",
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"Saved cropped cat image: output/cropped/cat_259.jpg\n",
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"Saved cropped cat image: output/cropped/cat_260.jpg\n",
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"Saved cropped cat image: output/cropped/cat_261.jpg\n",
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"Saved cropped cat image: output/cropped/cat_262.jpg\n",
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"Saved cropped cat image: output/cropped/cat_263.jpg\n",
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"Saved cropped cat image: output/cropped/cat_264.jpg\n",
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"Saved cropped cat image: output/cropped/cat_265.jpg\n",
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"Saved cropped cat image: output/cropped/cat_266.jpg\n",
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"Saved cropped cat image: output/cropped/cat_267.jpg\n",
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"Saved cropped cat image: output/cropped/cat_268.jpg\n",
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"Saved cropped cat image: output/cropped/cat_269.jpg\n",
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"Saved cropped cat image: output/cropped/cat_270.jpg\n",
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"Saved cropped cat image: output/cropped/cat_271.jpg\n",
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"Saved cropped cat image: output/cropped/cat_272.jpg\n",
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"Saved cropped cat image: output/cropped/cat_273.jpg\n",
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"Saved cropped cat image: output/cropped/cat_274.jpg\n",
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"Saved cropped cat image: output/cropped/cat_275.jpg\n",
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"Saved cropped cat image: output/cropped/cat_276.jpg\n",
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"Saved cropped cat image: output/cropped/cat_277.jpg\n",
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"Saved cropped cat image: output/cropped/cat_278.jpg\n",
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"Saved cropped cat image: output/cropped/cat_279.jpg\n",
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"Saved cropped cat image: output/cropped/cat_280.jpg\n",
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"Saved cropped cat image: output/cropped/cat_281.jpg\n",
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"Saved cropped cat image: output/cropped/cat_282.jpg\n",
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"Saved cropped cat image: output/cropped/cat_283.jpg\n",
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"Saved cropped cat image: output/cropped/cat_284.jpg\n",
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"Saved cropped cat image: output/cropped/cat_285.jpg\n",
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"Saved cropped cat image: output/cropped/cat_286.jpg\n",
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"Saved cropped cat image: output/cropped/cat_287.jpg\n",
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"Saved cropped cat image: output/cropped/cat_288.jpg\n",
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"Saved cropped cat image: output/cropped/cat_289.jpg\n",
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"Saved cropped cat image: output/cropped/cat_290.jpg\n",
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"Saved cropped cat image: output/cropped/cat_291.jpg\n",
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"Saved cropped cat image: output/cropped/cat_292.jpg\n",
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"Saved cropped cat image: output/cropped/cat_293.jpg\n",
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"Saved cropped cat image: output/cropped/cat_294.jpg\n",
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"Saved cropped cat image: output/cropped/cat_295.jpg\n",
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"Saved cropped cat image: output/cropped/cat_296.jpg\n",
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"Saved cropped cat image: output/cropped/cat_297.jpg\n",
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"Saved cropped cat image: output/cropped/cat_298.jpg\n",
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"Saved cropped cat image: output/cropped/cat_299.jpg\n",
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"Saved cropped cat image: output/cropped/cat_300.jpg\n",
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"Saved cropped cat image: output/cropped/cat_301.jpg\n",
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"Saved cropped cat image: output/cropped/cat_302.jpg\n",
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"Saved cropped cat image: output/cropped/cat_303.jpg\n",
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"Saved cropped cat image: output/cropped/cat_304.jpg\n",
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"Saved cropped cat image: output/cropped/cat_305.jpg\n",
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"Saved cropped cat image: output/cropped/cat_306.jpg\n",
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"Saved cropped cat image: output/cropped/cat_307.jpg\n",
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"Saved cropped cat image: output/cropped/cat_308.jpg\n",
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"Saved cropped cat image: output/cropped/cat_309.jpg\n",
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"Saved cropped cat image: output/cropped/cat_310.jpg\n",
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"Saved cropped cat image: output/cropped/cat_311.jpg\n",
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"Saved cropped cat image: output/cropped/cat_312.jpg\n",
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"Saved cropped cat image: output/cropped/cat_313.jpg\n",
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"Saved cropped cat image: output/cropped/cat_314.jpg\n",
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"Saved cropped cat image: output/cropped/cat_315.jpg\n",
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"Saved cropped cat image: output/cropped/cat_316.jpg\n",
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"Saved cropped cat image: output/cropped/cat_317.jpg\n",
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"Saved cropped cat image: output/cropped/cat_318.jpg\n",
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"Saved cropped cat image: output/cropped/cat_319.jpg\n",
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"Saved cropped cat image: output/cropped/cat_320.jpg\n",
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"Saved cropped cat image: output/cropped/cat_321.jpg\n",
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"Saved cropped cat image: output/cropped/cat_322.jpg\n",
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"Saved cropped cat image: output/cropped/cat_323.jpg\n",
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"Saved cropped cat image: output/cropped/cat_324.jpg\n",
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"Saved cropped cat image: output/cropped/cat_325.jpg\n",
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"Saved cropped cat image: output/cropped/cat_326.jpg\n",
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"Saved cropped cat image: output/cropped/cat_327.jpg\n",
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"Saved cropped cat image: output/cropped/cat_328.jpg\n",
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"Saved cropped cat image: output/cropped/cat_329.jpg\n",
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"Saved cropped cat image: output/cropped/cat_330.jpg\n",
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"Saved cropped cat image: output/cropped/cat_331.jpg\n",
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"Saved cropped cat image: output/cropped/cat_332.jpg\n",
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"Saved cropped cat image: output/cropped/cat_333.jpg\n",
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"Saved cropped cat image: output/cropped/cat_334.jpg\n",
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"Saved cropped cat image: output/cropped/cat_335.jpg\n",
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"Saved cropped cat image: output/cropped/cat_336.jpg\n",
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"Saved cropped cat image: output/cropped/cat_337.jpg\n",
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"Saved cropped cat image: output/cropped/cat_338.jpg\n",
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"Saved cropped cat image: output/cropped/cat_339.jpg\n",
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"Saved cropped cat image: output/cropped/cat_340.jpg\n",
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"Saved cropped cat image: output/cropped/cat_341.jpg\n",
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"Saved cropped cat image: output/cropped/cat_425.jpg\n",
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"Saved cropped cat image: output/cropped/cat_530.jpg\n",
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"Saved cropped cat image: output/cropped/cat_531.jpg\n",
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"Saved cropped cat image: output/cropped/cat_539.jpg\n",
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"Saved cropped cat image: output/cropped/cat_540.jpg\n",
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"Saved cropped cat image: output/cropped/cat_541.jpg\n",
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"Saved cropped cat image: output/cropped/cat_542.jpg\n",
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"Saved cropped cat image: output/cropped/cat_543.jpg\n",
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"Saved cropped cat image: output/cropped/cat_544.jpg\n",
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"Saved cropped cat image: output/cropped/cat_545.jpg\n",
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"Saved cropped cat image: output/cropped/cat_546.jpg\n",
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"Saved cropped cat image: output/cropped/cat_547.jpg\n",
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"Saved cropped cat image: output/cropped/cat_548.jpg\n",
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"Saved cropped cat image: output/cropped/cat_549.jpg\n",
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"Saved cropped cat image: output/cropped/cat_550.jpg\n",
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"Saved cropped cat image: output/cropped/cat_551.jpg\n",
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"Saved cropped cat image: output/cropped/cat_552.jpg\n"
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]
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}
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],
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"source": [
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"os.makedirs(output_folder+'cropped', exist_ok=True) # Ensure the directory exists\n",
|
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"cat_count = 0 # Counter for saving cat images\n",
|
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"for result in results:\n",
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" boxes = result.boxes\n",
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"\n",
|
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" for box in boxes:\n",
|
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" # Get class ID and confidence\n",
|
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" class_id = int(box.cls[0])\n",
|
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" confidence = box.conf[0]\n",
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"\n",
|
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" # Process only \"cat\" items (cls id = 15)\n",
|
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" if class_id == 15:\n",
|
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" # Get bounding box coordinates\n",
|
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" x_min, y_min, x_max, y_max = map(int, box.xyxy[0])\n",
|
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"\n",
|
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" # Crop the image\n",
|
|
" cropped_cat = result.orig_img[y_min:y_max, x_min:x_max]\n",
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"\n",
|
|
" # Save the cropped image\n",
|
|
" cat_count += 1\n",
|
|
" output_path = os.path.join(output_folder,f\"cropped/cat_{result}.jpg\")\n",
|
|
" cv2.imwrite(output_path, cropped_cat)\n",
|
|
"\n",
|
|
" print(f\"Saved cropped cat image: {output_path}\")"
|
|
]
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},
|
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{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
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"metadata": {},
|
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
|
|
"c:\\Users\\danie\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\torchvision\\models\\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
|
|
" warnings.warn(\n",
|
|
"c:\\Users\\danie\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\torchvision\\models\\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n",
|
|
" warnings.warn(msg)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Feature Extraction with ResNet18\n",
|
|
"# Load ResNet18 Model\n",
|
|
"resnet = models.resnet18(pretrained=True)\n",
|
|
"resnet = torch.nn.Sequential(*(list(resnet.children())[:-1])) # Remove classification layer\n",
|
|
"resnet.eval()\n",
|
|
"\n",
|
|
"# Define Preprocessing\n",
|
|
"preprocess = transforms.Compose([\n",
|
|
" transforms.Resize((224, 224)),\n",
|
|
" transforms.ToTensor(),\n",
|
|
" transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n",
|
|
"])\n"
|
|
]
|
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},
|
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{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Extract Features\n",
|
|
"def extract_features(image_path):\n",
|
|
" img = Image.open(image_path).convert(\"RGB\")\n",
|
|
" img_tensor = preprocess(img).unsqueeze(0)\n",
|
|
" with torch.no_grad():\n",
|
|
" features = resnet(img_tensor)\n",
|
|
" return features.squeeze().numpy()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 34,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"crop_folder = 'output/cropped'\n",
|
|
"feature_list = []\n",
|
|
"crop_images = [os.path.join(crop_folder, img) for img in os.listdir(crop_folder) if img.endswith(\".jpg\")]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 43,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"for crop_path in crop_images:\n",
|
|
" features = extract_features(crop_path)\n",
|
|
" feature_list.append(features)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 44,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Convert the list of features into a NumPy array\n",
|
|
"features_array = np.array(feature_list)\n",
|
|
"# Perform K-Means clustering (2 clusters for your case)\n",
|
|
"kmeans = KMeans(n_clusters=2, random_state=42)\n",
|
|
"labels = kmeans.fit_predict(features_array)"
|
|
]
|
|
},
|
|
{
|
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"cell_type": "code",
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"execution_count": 45,
|
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"metadata": {},
|
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"outputs": [
|
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
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"cat_1.jpg belongs to cluster 0\n",
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"cat_10.jpg belongs to cluster 0\n",
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"cat_100.jpg belongs to cluster 0\n",
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"cat_101.jpg belongs to cluster 1\n",
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"cat_102.jpg belongs to cluster 0\n",
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"cat_103.jpg belongs to cluster 0\n",
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"cat_104.jpg belongs to cluster 0\n",
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"cat_105.jpg belongs to cluster 0\n",
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"cat_106.jpg belongs to cluster 1\n",
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"cat_107.jpg belongs to cluster 1\n",
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"cat_108.jpg belongs to cluster 0\n",
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"cat_109.jpg belongs to cluster 1\n",
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"cat_11.jpg belongs to cluster 0\n",
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"cat_110.jpg belongs to cluster 1\n",
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"cat_111.jpg belongs to cluster 1\n",
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"cat_112.jpg belongs to cluster 1\n",
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"cat_113.jpg belongs to cluster 1\n",
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"cat_114.jpg belongs to cluster 1\n",
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"cat_115.jpg belongs to cluster 1\n",
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"cat_116.jpg belongs to cluster 1\n",
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"cat_117.jpg belongs to cluster 1\n",
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"cat_118.jpg belongs to cluster 1\n",
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"cat_119.jpg belongs to cluster 1\n",
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"cat_12.jpg belongs to cluster 0\n",
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"cat_120.jpg belongs to cluster 1\n",
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"cat_121.jpg belongs to cluster 1\n",
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"cat_122.jpg belongs to cluster 1\n",
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"cat_123.jpg belongs to cluster 0\n",
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"cat_124.jpg belongs to cluster 0\n",
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"cat_125.jpg belongs to cluster 0\n",
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"cat_126.jpg belongs to cluster 0\n",
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"cat_127.jpg belongs to cluster 1\n",
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"cat_128.jpg belongs to cluster 1\n",
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"cat_129.jpg belongs to cluster 1\n",
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"cat_13.jpg belongs to cluster 0\n",
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"cat_130.jpg belongs to cluster 1\n",
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"cat_131.jpg belongs to cluster 1\n",
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"cat_132.jpg belongs to cluster 1\n",
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"cat_133.jpg belongs to cluster 1\n",
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"cat_134.jpg belongs to cluster 1\n",
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"cat_135.jpg belongs to cluster 1\n",
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"cat_136.jpg belongs to cluster 0\n",
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"cat_137.jpg belongs to cluster 0\n",
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"cat_138.jpg belongs to cluster 0\n",
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"cat_139.jpg belongs to cluster 0\n",
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"cat_14.jpg belongs to cluster 0\n",
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"cat_140.jpg belongs to cluster 0\n",
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"cat_141.jpg belongs to cluster 0\n",
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"cat_142.jpg belongs to cluster 1\n",
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"cat_143.jpg belongs to cluster 1\n",
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"cat_144.jpg belongs to cluster 0\n",
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"cat_145.jpg belongs to cluster 0\n",
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"cat_146.jpg belongs to cluster 0\n",
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"cat_147.jpg belongs to cluster 1\n",
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"cat_148.jpg belongs to cluster 1\n",
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"cat_149.jpg belongs to cluster 1\n",
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"cat_15.jpg belongs to cluster 0\n",
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"cat_150.jpg belongs to cluster 0\n",
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"cat_151.jpg belongs to cluster 0\n",
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"cat_152.jpg belongs to cluster 0\n",
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"cat_153.jpg belongs to cluster 0\n",
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"cat_154.jpg belongs to cluster 1\n",
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"cat_155.jpg belongs to cluster 0\n",
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"cat_156.jpg belongs to cluster 0\n",
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"cat_157.jpg belongs to cluster 0\n",
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"cat_158.jpg belongs to cluster 0\n",
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"cat_159.jpg belongs to cluster 1\n",
|
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"cat_16.jpg belongs to cluster 0\n",
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"cat_160.jpg belongs to cluster 1\n",
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"cat_161.jpg belongs to cluster 1\n",
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"cat_162.jpg belongs to cluster 1\n",
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"cat_163.jpg belongs to cluster 0\n",
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"cat_164.jpg belongs to cluster 0\n",
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"cat_165.jpg belongs to cluster 1\n",
|
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"cat_166.jpg belongs to cluster 0\n",
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"cat_167.jpg belongs to cluster 1\n",
|
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"cat_168.jpg belongs to cluster 1\n",
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"cat_169.jpg belongs to cluster 1\n",
|
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"cat_17.jpg belongs to cluster 0\n",
|
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"cat_170.jpg belongs to cluster 0\n",
|
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"cat_171.jpg belongs to cluster 1\n",
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"cat_172.jpg belongs to cluster 0\n",
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"cat_173.jpg belongs to cluster 0\n",
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"cat_174.jpg belongs to cluster 0\n",
|
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"cat_175.jpg belongs to cluster 0\n",
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"cat_176.jpg belongs to cluster 0\n",
|
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"cat_177.jpg belongs to cluster 0\n",
|
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"cat_178.jpg belongs to cluster 0\n",
|
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"cat_179.jpg belongs to cluster 1\n",
|
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"cat_18.jpg belongs to cluster 0\n",
|
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"cat_180.jpg belongs to cluster 0\n",
|
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"cat_181.jpg belongs to cluster 0\n",
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"cat_182.jpg belongs to cluster 0\n",
|
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"cat_183.jpg belongs to cluster 0\n",
|
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"cat_184.jpg belongs to cluster 0\n",
|
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"cat_185.jpg belongs to cluster 1\n",
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"cat_186.jpg belongs to cluster 0\n",
|
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"cat_187.jpg belongs to cluster 0\n",
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"cat_188.jpg belongs to cluster 1\n",
|
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"cat_189.jpg belongs to cluster 0\n",
|
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"cat_19.jpg belongs to cluster 0\n",
|
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"cat_190.jpg belongs to cluster 0\n",
|
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"cat_191.jpg belongs to cluster 1\n",
|
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"cat_192.jpg belongs to cluster 1\n",
|
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"cat_193.jpg belongs to cluster 0\n",
|
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"cat_194.jpg belongs to cluster 1\n",
|
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"cat_195.jpg belongs to cluster 1\n",
|
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"cat_196.jpg belongs to cluster 1\n",
|
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"cat_197.jpg belongs to cluster 0\n",
|
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"cat_198.jpg belongs to cluster 0\n",
|
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"cat_199.jpg belongs to cluster 0\n",
|
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"cat_2.jpg belongs to cluster 0\n",
|
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"cat_20.jpg belongs to cluster 0\n",
|
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"cat_200.jpg belongs to cluster 0\n",
|
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"cat_201.jpg belongs to cluster 1\n",
|
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"cat_202.jpg belongs to cluster 0\n",
|
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"cat_203.jpg belongs to cluster 0\n",
|
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"cat_204.jpg belongs to cluster 1\n",
|
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"cat_205.jpg belongs to cluster 0\n",
|
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"cat_206.jpg belongs to cluster 1\n",
|
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"cat_207.jpg belongs to cluster 0\n",
|
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"cat_208.jpg belongs to cluster 0\n",
|
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"cat_209.jpg belongs to cluster 0\n",
|
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"cat_21.jpg belongs to cluster 0\n",
|
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"cat_210.jpg belongs to cluster 0\n",
|
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"cat_211.jpg belongs to cluster 0\n",
|
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"cat_212.jpg belongs to cluster 0\n",
|
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"cat_213.jpg belongs to cluster 1\n",
|
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"cat_214.jpg belongs to cluster 1\n",
|
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"cat_215.jpg belongs to cluster 1\n",
|
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"cat_216.jpg belongs to cluster 1\n",
|
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"cat_217.jpg belongs to cluster 1\n",
|
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"cat_218.jpg belongs to cluster 0\n",
|
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"cat_219.jpg belongs to cluster 1\n",
|
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"cat_22.jpg belongs to cluster 1\n",
|
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"cat_220.jpg belongs to cluster 0\n",
|
|
"cat_221.jpg belongs to cluster 0\n",
|
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"cat_222.jpg belongs to cluster 0\n",
|
|
"cat_223.jpg belongs to cluster 0\n",
|
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"cat_224.jpg belongs to cluster 0\n",
|
|
"cat_225.jpg belongs to cluster 1\n",
|
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"cat_226.jpg belongs to cluster 1\n",
|
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"cat_227.jpg belongs to cluster 0\n",
|
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"cat_228.jpg belongs to cluster 0\n",
|
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"cat_229.jpg belongs to cluster 0\n",
|
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"cat_23.jpg belongs to cluster 1\n",
|
|
"cat_230.jpg belongs to cluster 0\n",
|
|
"cat_231.jpg belongs to cluster 0\n",
|
|
"cat_232.jpg belongs to cluster 0\n",
|
|
"cat_233.jpg belongs to cluster 0\n",
|
|
"cat_234.jpg belongs to cluster 0\n",
|
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"cat_235.jpg belongs to cluster 0\n",
|
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"cat_236.jpg belongs to cluster 0\n",
|
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"cat_237.jpg belongs to cluster 0\n",
|
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"cat_238.jpg belongs to cluster 0\n",
|
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"cat_239.jpg belongs to cluster 0\n",
|
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"cat_24.jpg belongs to cluster 1\n",
|
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"cat_240.jpg belongs to cluster 0\n",
|
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"cat_241.jpg belongs to cluster 1\n",
|
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"cat_242.jpg belongs to cluster 0\n",
|
|
"cat_243.jpg belongs to cluster 0\n",
|
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"cat_244.jpg belongs to cluster 0\n",
|
|
"cat_245.jpg belongs to cluster 0\n",
|
|
"cat_246.jpg belongs to cluster 0\n",
|
|
"cat_247.jpg belongs to cluster 0\n",
|
|
"cat_248.jpg belongs to cluster 0\n",
|
|
"cat_249.jpg belongs to cluster 0\n",
|
|
"cat_25.jpg belongs to cluster 1\n",
|
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"cat_250.jpg belongs to cluster 0\n",
|
|
"cat_251.jpg belongs to cluster 0\n",
|
|
"cat_252.jpg belongs to cluster 0\n",
|
|
"cat_253.jpg belongs to cluster 0\n",
|
|
"cat_254.jpg belongs to cluster 0\n",
|
|
"cat_255.jpg belongs to cluster 0\n",
|
|
"cat_256.jpg belongs to cluster 0\n",
|
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"cat_257.jpg belongs to cluster 0\n",
|
|
"cat_258.jpg belongs to cluster 0\n",
|
|
"cat_259.jpg belongs to cluster 0\n",
|
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"cat_26.jpg belongs to cluster 1\n",
|
|
"cat_260.jpg belongs to cluster 1\n",
|
|
"cat_261.jpg belongs to cluster 0\n",
|
|
"cat_262.jpg belongs to cluster 0\n",
|
|
"cat_263.jpg belongs to cluster 1\n",
|
|
"cat_264.jpg belongs to cluster 1\n",
|
|
"cat_265.jpg belongs to cluster 1\n",
|
|
"cat_266.jpg belongs to cluster 1\n",
|
|
"cat_267.jpg belongs to cluster 1\n",
|
|
"cat_268.jpg belongs to cluster 1\n",
|
|
"cat_269.jpg belongs to cluster 0\n",
|
|
"cat_27.jpg belongs to cluster 1\n",
|
|
"cat_270.jpg belongs to cluster 0\n",
|
|
"cat_271.jpg belongs to cluster 1\n",
|
|
"cat_272.jpg belongs to cluster 1\n",
|
|
"cat_273.jpg belongs to cluster 1\n",
|
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"cat_274.jpg belongs to cluster 1\n",
|
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"cat_275.jpg belongs to cluster 1\n",
|
|
"cat_276.jpg belongs to cluster 1\n",
|
|
"cat_277.jpg belongs to cluster 1\n",
|
|
"cat_278.jpg belongs to cluster 1\n",
|
|
"cat_279.jpg belongs to cluster 1\n",
|
|
"cat_28.jpg belongs to cluster 1\n",
|
|
"cat_280.jpg belongs to cluster 1\n",
|
|
"cat_281.jpg belongs to cluster 1\n",
|
|
"cat_282.jpg belongs to cluster 1\n",
|
|
"cat_283.jpg belongs to cluster 0\n",
|
|
"cat_284.jpg belongs to cluster 0\n",
|
|
"cat_285.jpg belongs to cluster 0\n",
|
|
"cat_286.jpg belongs to cluster 0\n",
|
|
"cat_287.jpg belongs to cluster 0\n",
|
|
"cat_288.jpg belongs to cluster 0\n",
|
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"cat_289.jpg belongs to cluster 0\n",
|
|
"cat_29.jpg belongs to cluster 1\n",
|
|
"cat_290.jpg belongs to cluster 0\n",
|
|
"cat_291.jpg belongs to cluster 0\n",
|
|
"cat_292.jpg belongs to cluster 0\n",
|
|
"cat_293.jpg belongs to cluster 1\n",
|
|
"cat_294.jpg belongs to cluster 0\n",
|
|
"cat_295.jpg belongs to cluster 1\n",
|
|
"cat_296.jpg belongs to cluster 0\n",
|
|
"cat_297.jpg belongs to cluster 0\n",
|
|
"cat_298.jpg belongs to cluster 1\n",
|
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"cat_299.jpg belongs to cluster 1\n",
|
|
"cat_3.jpg belongs to cluster 1\n",
|
|
"cat_30.jpg belongs to cluster 1\n",
|
|
"cat_300.jpg belongs to cluster 1\n",
|
|
"cat_301.jpg belongs to cluster 1\n",
|
|
"cat_302.jpg belongs to cluster 1\n",
|
|
"cat_303.jpg belongs to cluster 0\n",
|
|
"cat_304.jpg belongs to cluster 0\n",
|
|
"cat_305.jpg belongs to cluster 0\n",
|
|
"cat_306.jpg belongs to cluster 1\n",
|
|
"cat_307.jpg belongs to cluster 1\n",
|
|
"cat_308.jpg belongs to cluster 1\n",
|
|
"cat_309.jpg belongs to cluster 1\n",
|
|
"cat_31.jpg belongs to cluster 1\n",
|
|
"cat_310.jpg belongs to cluster 1\n",
|
|
"cat_311.jpg belongs to cluster 1\n",
|
|
"cat_312.jpg belongs to cluster 1\n",
|
|
"cat_313.jpg belongs to cluster 1\n",
|
|
"cat_314.jpg belongs to cluster 1\n",
|
|
"cat_315.jpg belongs to cluster 1\n",
|
|
"cat_316.jpg belongs to cluster 0\n",
|
|
"cat_317.jpg belongs to cluster 0\n",
|
|
"cat_318.jpg belongs to cluster 0\n",
|
|
"cat_319.jpg belongs to cluster 0\n",
|
|
"cat_32.jpg belongs to cluster 0\n",
|
|
"cat_320.jpg belongs to cluster 0\n",
|
|
"cat_321.jpg belongs to cluster 0\n",
|
|
"cat_322.jpg belongs to cluster 0\n",
|
|
"cat_323.jpg belongs to cluster 0\n",
|
|
"cat_324.jpg belongs to cluster 1\n",
|
|
"cat_325.jpg belongs to cluster 0\n",
|
|
"cat_326.jpg belongs to cluster 0\n",
|
|
"cat_327.jpg belongs to cluster 0\n",
|
|
"cat_328.jpg belongs to cluster 0\n",
|
|
"cat_329.jpg belongs to cluster 0\n",
|
|
"cat_33.jpg belongs to cluster 0\n",
|
|
"cat_330.jpg belongs to cluster 1\n",
|
|
"cat_331.jpg belongs to cluster 0\n",
|
|
"cat_332.jpg belongs to cluster 0\n",
|
|
"cat_333.jpg belongs to cluster 0\n",
|
|
"cat_334.jpg belongs to cluster 0\n",
|
|
"cat_335.jpg belongs to cluster 0\n",
|
|
"cat_336.jpg belongs to cluster 0\n",
|
|
"cat_337.jpg belongs to cluster 0\n",
|
|
"cat_338.jpg belongs to cluster 0\n",
|
|
"cat_339.jpg belongs to cluster 0\n",
|
|
"cat_34.jpg belongs to cluster 1\n",
|
|
"cat_340.jpg belongs to cluster 0\n",
|
|
"cat_341.jpg belongs to cluster 0\n",
|
|
"cat_342.jpg belongs to cluster 0\n",
|
|
"cat_343.jpg belongs to cluster 0\n",
|
|
"cat_344.jpg belongs to cluster 0\n",
|
|
"cat_345.jpg belongs to cluster 1\n",
|
|
"cat_346.jpg belongs to cluster 0\n",
|
|
"cat_347.jpg belongs to cluster 0\n",
|
|
"cat_348.jpg belongs to cluster 1\n",
|
|
"cat_349.jpg belongs to cluster 1\n",
|
|
"cat_35.jpg belongs to cluster 1\n",
|
|
"cat_350.jpg belongs to cluster 0\n",
|
|
"cat_351.jpg belongs to cluster 0\n",
|
|
"cat_352.jpg belongs to cluster 0\n",
|
|
"cat_353.jpg belongs to cluster 0\n",
|
|
"cat_354.jpg belongs to cluster 1\n",
|
|
"cat_355.jpg belongs to cluster 0\n",
|
|
"cat_356.jpg belongs to cluster 1\n",
|
|
"cat_357.jpg belongs to cluster 1\n",
|
|
"cat_358.jpg belongs to cluster 1\n",
|
|
"cat_359.jpg belongs to cluster 0\n",
|
|
"cat_36.jpg belongs to cluster 0\n",
|
|
"cat_360.jpg belongs to cluster 0\n",
|
|
"cat_361.jpg belongs to cluster 0\n",
|
|
"cat_362.jpg belongs to cluster 0\n",
|
|
"cat_363.jpg belongs to cluster 0\n",
|
|
"cat_364.jpg belongs to cluster 0\n",
|
|
"cat_365.jpg belongs to cluster 0\n",
|
|
"cat_366.jpg belongs to cluster 0\n",
|
|
"cat_367.jpg belongs to cluster 0\n",
|
|
"cat_368.jpg belongs to cluster 0\n",
|
|
"cat_369.jpg belongs to cluster 0\n",
|
|
"cat_37.jpg belongs to cluster 1\n",
|
|
"cat_370.jpg belongs to cluster 0\n",
|
|
"cat_371.jpg belongs to cluster 0\n",
|
|
"cat_372.jpg belongs to cluster 0\n",
|
|
"cat_373.jpg belongs to cluster 0\n",
|
|
"cat_374.jpg belongs to cluster 1\n",
|
|
"cat_375.jpg belongs to cluster 0\n",
|
|
"cat_376.jpg belongs to cluster 0\n",
|
|
"cat_377.jpg belongs to cluster 1\n",
|
|
"cat_378.jpg belongs to cluster 0\n",
|
|
"cat_379.jpg belongs to cluster 0\n",
|
|
"cat_38.jpg belongs to cluster 1\n",
|
|
"cat_380.jpg belongs to cluster 0\n",
|
|
"cat_381.jpg belongs to cluster 0\n",
|
|
"cat_382.jpg belongs to cluster 0\n",
|
|
"cat_383.jpg belongs to cluster 0\n",
|
|
"cat_384.jpg belongs to cluster 0\n",
|
|
"cat_385.jpg belongs to cluster 0\n",
|
|
"cat_386.jpg belongs to cluster 0\n",
|
|
"cat_387.jpg belongs to cluster 1\n",
|
|
"cat_388.jpg belongs to cluster 0\n",
|
|
"cat_389.jpg belongs to cluster 0\n",
|
|
"cat_39.jpg belongs to cluster 1\n",
|
|
"cat_390.jpg belongs to cluster 1\n",
|
|
"cat_391.jpg belongs to cluster 1\n",
|
|
"cat_392.jpg belongs to cluster 0\n",
|
|
"cat_393.jpg belongs to cluster 0\n",
|
|
"cat_394.jpg belongs to cluster 0\n",
|
|
"cat_395.jpg belongs to cluster 1\n",
|
|
"cat_396.jpg belongs to cluster 0\n",
|
|
"cat_397.jpg belongs to cluster 0\n",
|
|
"cat_398.jpg belongs to cluster 1\n",
|
|
"cat_399.jpg belongs to cluster 0\n",
|
|
"cat_4.jpg belongs to cluster 0\n",
|
|
"cat_40.jpg belongs to cluster 0\n",
|
|
"cat_400.jpg belongs to cluster 0\n",
|
|
"cat_401.jpg belongs to cluster 1\n",
|
|
"cat_402.jpg belongs to cluster 1\n",
|
|
"cat_403.jpg belongs to cluster 0\n",
|
|
"cat_404.jpg belongs to cluster 0\n",
|
|
"cat_405.jpg belongs to cluster 0\n",
|
|
"cat_406.jpg belongs to cluster 0\n",
|
|
"cat_407.jpg belongs to cluster 0\n",
|
|
"cat_408.jpg belongs to cluster 0\n",
|
|
"cat_409.jpg belongs to cluster 0\n",
|
|
"cat_41.jpg belongs to cluster 0\n",
|
|
"cat_410.jpg belongs to cluster 0\n",
|
|
"cat_411.jpg belongs to cluster 0\n",
|
|
"cat_412.jpg belongs to cluster 0\n",
|
|
"cat_413.jpg belongs to cluster 0\n",
|
|
"cat_414.jpg belongs to cluster 0\n",
|
|
"cat_415.jpg belongs to cluster 1\n",
|
|
"cat_416.jpg belongs to cluster 1\n",
|
|
"cat_417.jpg belongs to cluster 1\n",
|
|
"cat_418.jpg belongs to cluster 1\n",
|
|
"cat_419.jpg belongs to cluster 1\n",
|
|
"cat_42.jpg belongs to cluster 0\n",
|
|
"cat_420.jpg belongs to cluster 1\n",
|
|
"cat_421.jpg belongs to cluster 1\n",
|
|
"cat_422.jpg belongs to cluster 1\n",
|
|
"cat_423.jpg belongs to cluster 1\n",
|
|
"cat_424.jpg belongs to cluster 1\n",
|
|
"cat_425.jpg belongs to cluster 1\n",
|
|
"cat_426.jpg belongs to cluster 1\n",
|
|
"cat_427.jpg belongs to cluster 1\n",
|
|
"cat_428.jpg belongs to cluster 1\n",
|
|
"cat_429.jpg belongs to cluster 0\n",
|
|
"cat_43.jpg belongs to cluster 0\n",
|
|
"cat_430.jpg belongs to cluster 0\n",
|
|
"cat_431.jpg belongs to cluster 1\n",
|
|
"cat_432.jpg belongs to cluster 1\n",
|
|
"cat_433.jpg belongs to cluster 1\n",
|
|
"cat_434.jpg belongs to cluster 1\n",
|
|
"cat_435.jpg belongs to cluster 1\n",
|
|
"cat_436.jpg belongs to cluster 0\n",
|
|
"cat_437.jpg belongs to cluster 0\n",
|
|
"cat_438.jpg belongs to cluster 0\n",
|
|
"cat_439.jpg belongs to cluster 0\n",
|
|
"cat_44.jpg belongs to cluster 0\n",
|
|
"cat_440.jpg belongs to cluster 1\n",
|
|
"cat_441.jpg belongs to cluster 1\n",
|
|
"cat_442.jpg belongs to cluster 1\n",
|
|
"cat_443.jpg belongs to cluster 0\n",
|
|
"cat_444.jpg belongs to cluster 0\n",
|
|
"cat_445.jpg belongs to cluster 0\n",
|
|
"cat_446.jpg belongs to cluster 0\n",
|
|
"cat_447.jpg belongs to cluster 1\n",
|
|
"cat_448.jpg belongs to cluster 0\n",
|
|
"cat_449.jpg belongs to cluster 0\n",
|
|
"cat_45.jpg belongs to cluster 0\n",
|
|
"cat_450.jpg belongs to cluster 1\n",
|
|
"cat_451.jpg belongs to cluster 1\n",
|
|
"cat_452.jpg belongs to cluster 1\n",
|
|
"cat_453.jpg belongs to cluster 1\n",
|
|
"cat_454.jpg belongs to cluster 1\n",
|
|
"cat_455.jpg belongs to cluster 1\n",
|
|
"cat_456.jpg belongs to cluster 1\n",
|
|
"cat_457.jpg belongs to cluster 0\n",
|
|
"cat_458.jpg belongs to cluster 0\n",
|
|
"cat_459.jpg belongs to cluster 0\n",
|
|
"cat_46.jpg belongs to cluster 0\n",
|
|
"cat_460.jpg belongs to cluster 0\n",
|
|
"cat_461.jpg belongs to cluster 1\n",
|
|
"cat_462.jpg belongs to cluster 0\n",
|
|
"cat_463.jpg belongs to cluster 0\n",
|
|
"cat_464.jpg belongs to cluster 0\n",
|
|
"cat_465.jpg belongs to cluster 0\n",
|
|
"cat_466.jpg belongs to cluster 0\n",
|
|
"cat_467.jpg belongs to cluster 0\n",
|
|
"cat_468.jpg belongs to cluster 0\n",
|
|
"cat_469.jpg belongs to cluster 0\n",
|
|
"cat_47.jpg belongs to cluster 1\n",
|
|
"cat_470.jpg belongs to cluster 0\n",
|
|
"cat_471.jpg belongs to cluster 1\n",
|
|
"cat_472.jpg belongs to cluster 1\n",
|
|
"cat_473.jpg belongs to cluster 1\n",
|
|
"cat_474.jpg belongs to cluster 0\n",
|
|
"cat_475.jpg belongs to cluster 1\n",
|
|
"cat_476.jpg belongs to cluster 1\n",
|
|
"cat_477.jpg belongs to cluster 1\n",
|
|
"cat_478.jpg belongs to cluster 1\n",
|
|
"cat_479.jpg belongs to cluster 1\n",
|
|
"cat_48.jpg belongs to cluster 1\n",
|
|
"cat_480.jpg belongs to cluster 1\n",
|
|
"cat_481.jpg belongs to cluster 1\n",
|
|
"cat_482.jpg belongs to cluster 0\n",
|
|
"cat_483.jpg belongs to cluster 0\n",
|
|
"cat_484.jpg belongs to cluster 1\n",
|
|
"cat_485.jpg belongs to cluster 0\n",
|
|
"cat_486.jpg belongs to cluster 0\n",
|
|
"cat_487.jpg belongs to cluster 0\n",
|
|
"cat_488.jpg belongs to cluster 0\n",
|
|
"cat_489.jpg belongs to cluster 1\n",
|
|
"cat_49.jpg belongs to cluster 0\n",
|
|
"cat_490.jpg belongs to cluster 1\n",
|
|
"cat_491.jpg belongs to cluster 1\n",
|
|
"cat_492.jpg belongs to cluster 1\n",
|
|
"cat_493.jpg belongs to cluster 1\n",
|
|
"cat_494.jpg belongs to cluster 1\n",
|
|
"cat_495.jpg belongs to cluster 1\n",
|
|
"cat_496.jpg belongs to cluster 0\n",
|
|
"cat_497.jpg belongs to cluster 0\n",
|
|
"cat_498.jpg belongs to cluster 1\n",
|
|
"cat_499.jpg belongs to cluster 1\n",
|
|
"cat_5.jpg belongs to cluster 0\n",
|
|
"cat_50.jpg belongs to cluster 0\n",
|
|
"cat_500.jpg belongs to cluster 1\n",
|
|
"cat_501.jpg belongs to cluster 0\n",
|
|
"cat_502.jpg belongs to cluster 0\n",
|
|
"cat_503.jpg belongs to cluster 0\n",
|
|
"cat_504.jpg belongs to cluster 0\n",
|
|
"cat_505.jpg belongs to cluster 0\n",
|
|
"cat_506.jpg belongs to cluster 1\n",
|
|
"cat_507.jpg belongs to cluster 0\n",
|
|
"cat_508.jpg belongs to cluster 0\n",
|
|
"cat_509.jpg belongs to cluster 1\n",
|
|
"cat_51.jpg belongs to cluster 1\n",
|
|
"cat_510.jpg belongs to cluster 0\n",
|
|
"cat_511.jpg belongs to cluster 1\n",
|
|
"cat_512.jpg belongs to cluster 1\n",
|
|
"cat_513.jpg belongs to cluster 1\n",
|
|
"cat_514.jpg belongs to cluster 0\n",
|
|
"cat_515.jpg belongs to cluster 1\n",
|
|
"cat_516.jpg belongs to cluster 1\n",
|
|
"cat_517.jpg belongs to cluster 1\n",
|
|
"cat_518.jpg belongs to cluster 1\n",
|
|
"cat_519.jpg belongs to cluster 0\n",
|
|
"cat_52.jpg belongs to cluster 1\n",
|
|
"cat_520.jpg belongs to cluster 0\n",
|
|
"cat_521.jpg belongs to cluster 1\n",
|
|
"cat_522.jpg belongs to cluster 0\n",
|
|
"cat_523.jpg belongs to cluster 0\n",
|
|
"cat_524.jpg belongs to cluster 0\n",
|
|
"cat_525.jpg belongs to cluster 1\n",
|
|
"cat_526.jpg belongs to cluster 0\n",
|
|
"cat_527.jpg belongs to cluster 0\n",
|
|
"cat_528.jpg belongs to cluster 1\n",
|
|
"cat_529.jpg belongs to cluster 1\n",
|
|
"cat_53.jpg belongs to cluster 1\n",
|
|
"cat_530.jpg belongs to cluster 1\n",
|
|
"cat_531.jpg belongs to cluster 1\n",
|
|
"cat_532.jpg belongs to cluster 0\n",
|
|
"cat_533.jpg belongs to cluster 0\n",
|
|
"cat_534.jpg belongs to cluster 1\n",
|
|
"cat_535.jpg belongs to cluster 1\n",
|
|
"cat_536.jpg belongs to cluster 0\n",
|
|
"cat_537.jpg belongs to cluster 0\n",
|
|
"cat_538.jpg belongs to cluster 1\n",
|
|
"cat_539.jpg belongs to cluster 0\n",
|
|
"cat_54.jpg belongs to cluster 1\n",
|
|
"cat_540.jpg belongs to cluster 0\n",
|
|
"cat_541.jpg belongs to cluster 0\n",
|
|
"cat_542.jpg belongs to cluster 1\n",
|
|
"cat_543.jpg belongs to cluster 1\n",
|
|
"cat_544.jpg belongs to cluster 0\n",
|
|
"cat_545.jpg belongs to cluster 0\n",
|
|
"cat_546.jpg belongs to cluster 0\n",
|
|
"cat_547.jpg belongs to cluster 0\n",
|
|
"cat_548.jpg belongs to cluster 0\n",
|
|
"cat_549.jpg belongs to cluster 0\n",
|
|
"cat_55.jpg belongs to cluster 1\n",
|
|
"cat_550.jpg belongs to cluster 0\n",
|
|
"cat_551.jpg belongs to cluster 1\n",
|
|
"cat_552.jpg belongs to cluster 1\n",
|
|
"cat_56.jpg belongs to cluster 1\n",
|
|
"cat_57.jpg belongs to cluster 0\n",
|
|
"cat_58.jpg belongs to cluster 0\n",
|
|
"cat_59.jpg belongs to cluster 0\n",
|
|
"cat_6.jpg belongs to cluster 1\n",
|
|
"cat_60.jpg belongs to cluster 1\n",
|
|
"cat_61.jpg belongs to cluster 1\n",
|
|
"cat_62.jpg belongs to cluster 0\n",
|
|
"cat_63.jpg belongs to cluster 1\n",
|
|
"cat_64.jpg belongs to cluster 1\n",
|
|
"cat_65.jpg belongs to cluster 0\n",
|
|
"cat_66.jpg belongs to cluster 1\n",
|
|
"cat_67.jpg belongs to cluster 1\n",
|
|
"cat_68.jpg belongs to cluster 1\n",
|
|
"cat_69.jpg belongs to cluster 1\n",
|
|
"cat_7.jpg belongs to cluster 1\n",
|
|
"cat_70.jpg belongs to cluster 0\n",
|
|
"cat_71.jpg belongs to cluster 0\n",
|
|
"cat_72.jpg belongs to cluster 1\n",
|
|
"cat_73.jpg belongs to cluster 1\n",
|
|
"cat_74.jpg belongs to cluster 1\n",
|
|
"cat_75.jpg belongs to cluster 1\n",
|
|
"cat_76.jpg belongs to cluster 1\n",
|
|
"cat_77.jpg belongs to cluster 0\n",
|
|
"cat_78.jpg belongs to cluster 0\n",
|
|
"cat_79.jpg belongs to cluster 1\n",
|
|
"cat_8.jpg belongs to cluster 1\n",
|
|
"cat_80.jpg belongs to cluster 1\n",
|
|
"cat_81.jpg belongs to cluster 1\n",
|
|
"cat_82.jpg belongs to cluster 1\n",
|
|
"cat_83.jpg belongs to cluster 1\n",
|
|
"cat_84.jpg belongs to cluster 1\n",
|
|
"cat_85.jpg belongs to cluster 1\n",
|
|
"cat_86.jpg belongs to cluster 0\n",
|
|
"cat_87.jpg belongs to cluster 0\n",
|
|
"cat_88.jpg belongs to cluster 1\n",
|
|
"cat_89.jpg belongs to cluster 0\n",
|
|
"cat_9.jpg belongs to cluster 1\n",
|
|
"cat_90.jpg belongs to cluster 1\n",
|
|
"cat_91.jpg belongs to cluster 1\n",
|
|
"cat_92.jpg belongs to cluster 1\n",
|
|
"cat_93.jpg belongs to cluster 1\n",
|
|
"cat_94.jpg belongs to cluster 1\n",
|
|
"cat_95.jpg belongs to cluster 1\n",
|
|
"cat_96.jpg belongs to cluster 1\n",
|
|
"cat_97.jpg belongs to cluster 1\n",
|
|
"cat_98.jpg belongs to cluster 0\n",
|
|
"cat_99.jpg belongs to cluster 1\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Print which image belongs to which cluster\n",
|
|
"for i, crop_path in enumerate(crop_images):\n",
|
|
" cluster = labels[i]\n",
|
|
" print(f\"{os.path.basename(crop_path)} belongs to cluster {cluster}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"labels_folder = 'dataset/annotations' # Path to save YOLO annotation files\n",
|
|
"os.makedirs(labels_folder, exist_ok=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 53,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def save_yolo_annotations(cropped_image_path, label, box, labels_folder):\n",
|
|
" \"\"\"\n",
|
|
" Save YOLO annotation for the given image.\n",
|
|
" :param cropped_image_path: Path to the cropped image\n",
|
|
" :param label: Cluster label (0 or 1)\n",
|
|
" :param box: The bounding box (x1, y1, x2, y2) coordinates\n",
|
|
" :param labels_folder: Folder to save the annotations\n",
|
|
" \"\"\"\n",
|
|
" # Extract image name without extension\n",
|
|
" image_name = os.path.basename(cropped_image_path).split('.')[0]\n",
|
|
" \n",
|
|
" # Normalize the bounding box coordinates\n",
|
|
" image = cv2.imread(cropped_image_path)\n",
|
|
" h, w, _ = image.shape\n",
|
|
"\n",
|
|
" # YOLO requires normalized coordinates: (x_center, y_center, width, height)\n",
|
|
" x_min, y_min, x_max, y_max = box\n",
|
|
" x_center = (x_min + x_max) / 2 / w\n",
|
|
" y_center = (y_min + y_max) / 2 / h\n",
|
|
" width = (x_max - x_min) / w\n",
|
|
" height = (y_max - y_min) / h\n",
|
|
"\n",
|
|
" # Create the annotation file path\n",
|
|
" annotation_path = os.path.join(labels_folder, f\"{image_name}.txt\")\n",
|
|
" \n",
|
|
" # Write the YOLO format annotation\n",
|
|
" with open(annotation_path, 'w') as f:\n",
|
|
" # Write the class id and the normalized bounding box info\n",
|
|
" f.write(f\"{label} {x_center} {y_center} {width} {height}\\n\")\n",
|
|
" \n",
|
|
" print(f\"Saved annotation for {image_name}: {annotation_path}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 56,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"cropped_data = [] # List to store cropped image data\n",
|
|
"\n",
|
|
"for result in results:\n",
|
|
" boxes = result.boxes\n",
|
|
" img_path = result.path\n",
|
|
" img = cv2.imread(img_path)\n",
|
|
"\n",
|
|
" for i, box in enumerate(boxes):\n",
|
|
" class_id = int(box.cls[0])\n",
|
|
" if class_id == 15: # Process only cats (class ID = 15 in COCO dataset)\n",
|
|
" x_min, y_min, x_max, y_max = map(int, box.xyxy[0])\n",
|
|
"\n",
|
|
" # Crop and save the image\n",
|
|
" cropped_cat = img[y_min:y_max, x_min:x_max]\n",
|
|
" crop_path = os.path.join(output_folder, f\"{os.path.basename(img_path).split('.')[0]}_crop{i}.jpg\")\n",
|
|
" cv2.imwrite(crop_path, cropped_cat)\n",
|
|
"\n",
|
|
" # Store metadata for this crop\n",
|
|
" cropped_data.append({\n",
|
|
" \"cropped_image\": crop_path,\n",
|
|
" \"original_image\": img_path,\n",
|
|
" \"bounding_box\": (x_min, y_min, x_max, y_max),\n",
|
|
" \"box_index\": i, # Index of the box in the original image\n",
|
|
" })"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 63,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"feature_list = []\n",
|
|
"for data in cropped_data:\n",
|
|
" features = extract_features(data[\"cropped_image\"])\n",
|
|
" feature_list.append(features)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 64,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"552\n",
|
|
"552\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(len(cropped_data))\n",
|
|
"print(len(feature_list))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 65,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Step 5: Clustering with K-Means\n",
|
|
"# Perform K-Means clustering on the extracted features\n",
|
|
"features_array = np.array(feature_list)\n",
|
|
"kmeans = KMeans(n_clusters=2, random_state=42) # 2 clusters for 2 cats\n",
|
|
"labels = kmeans.fit_predict(features_array)\n",
|
|
"\n",
|
|
"# Add cluster labels to `cropped_data`\n",
|
|
"for i, label in enumerate(labels):\n",
|
|
" cropped_data[i][\"cluster_label\"] = label "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 66,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Step 6: Generate YOLO Annotations\n",
|
|
"# Group bounding boxes by original image and write YOLO format annotations\n",
|
|
"annotations = {}\n",
|
|
"\n",
|
|
"for data in cropped_data:\n",
|
|
" original_image = data[\"original_image\"]\n",
|
|
" box = data[\"bounding_box\"]\n",
|
|
" class_id = data[\"cluster_label\"] # Use cluster label as YOLO class ID\n",
|
|
"\n",
|
|
" # Calculate YOLO format (x_center, y_center, width, height)\n",
|
|
" x_min, y_min, x_max, y_max = box\n",
|
|
" img = cv2.imread(original_image)\n",
|
|
" h, w, _ = img.shape\n",
|
|
"\n",
|
|
" x_center = (x_min + x_max) / (2 * w)\n",
|
|
" y_center = (y_min + y_max) / (2 * h)\n",
|
|
" width = (x_max - x_min) / w\n",
|
|
" height = (y_max - y_min) / h\n",
|
|
"\n",
|
|
" # Add to annotations\n",
|
|
" if original_image not in annotations:\n",
|
|
" annotations[original_image] = []\n",
|
|
" annotations[original_image].append((class_id, x_center, y_center, width, height))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 67,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\1818949000-IMG-20240118-WA0001.jpg to dataset/annotations/1818949000-IMG-20240118-WA0001.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_103335.jpg to dataset/annotations/20240308_103335.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_141622.jpg to dataset/annotations/20240308_141622.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_184600.jpg to dataset/annotations/20240308_184600.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_195833.jpg to dataset/annotations/20240308_195833.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200052.jpg to dataset/annotations/20240308_200052.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200057.jpg to dataset/annotations/20240308_200057.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_200102.jpg to dataset/annotations/20240308_200102.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201439.jpg to dataset/annotations/20240308_201439.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201442.jpg to dataset/annotations/20240308_201442.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201443.jpg to dataset/annotations/20240308_201443.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201446.jpg to dataset/annotations/20240308_201446.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201447.jpg to dataset/annotations/20240308_201447.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201448.jpg to dataset/annotations/20240308_201448.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201452.jpg to dataset/annotations/20240308_201452.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201454.jpg to dataset/annotations/20240308_201454.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201458.jpg to dataset/annotations/20240308_201458.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_201510.jpg to dataset/annotations/20240308_201510.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240308_232857.jpg to dataset/annotations/20240308_232857.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240310_140207.jpg to dataset/annotations/20240310_140207.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195350.jpg to dataset/annotations/20240311_195350.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195352.jpg to dataset/annotations/20240311_195352.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195357.jpg to dataset/annotations/20240311_195357.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240311_195403.jpg to dataset/annotations/20240311_195403.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_180219.jpg to dataset/annotations/20240312_180219.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185655.jpg to dataset/annotations/20240312_185655.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185658.jpg to dataset/annotations/20240312_185658.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185700.jpg to dataset/annotations/20240312_185700.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185702.jpg to dataset/annotations/20240312_185702.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185718(0).jpg to dataset/annotations/20240312_185718(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185718.jpg to dataset/annotations/20240312_185718.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185719.jpg to dataset/annotations/20240312_185719.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185729.jpg to dataset/annotations/20240312_185729.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185730.jpg to dataset/annotations/20240312_185730.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185733.jpg to dataset/annotations/20240312_185733.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240312_185734.jpg to dataset/annotations/20240312_185734.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240313_203246.jpg to dataset/annotations/20240313_203246.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240313_203248.jpg to dataset/annotations/20240313_203248.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_170048.jpg to dataset/annotations/20240315_170048.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_170048_remastered.jpg to dataset/annotations/20240315_170048_remastered.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_171004.jpg to dataset/annotations/20240315_171004.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191222.jpg to dataset/annotations/20240315_191222.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191224(0).jpg to dataset/annotations/20240315_191224(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191224.jpg to dataset/annotations/20240315_191224.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191225.jpg to dataset/annotations/20240315_191225.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191226.jpg to dataset/annotations/20240315_191226.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240315_191227.jpg to dataset/annotations/20240315_191227.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104313.jpg to dataset/annotations/20240316_104313.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104328.jpg to dataset/annotations/20240316_104328.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104330.jpg to dataset/annotations/20240316_104330.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_104331.jpg to dataset/annotations/20240316_104331.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_220153.jpg to dataset/annotations/20240316_220153.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240316_220210.jpg to dataset/annotations/20240316_220210.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002355.jpg to dataset/annotations/20240317_002355.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002404.jpg to dataset/annotations/20240317_002404.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002407.jpg to dataset/annotations/20240317_002407.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002416.jpg to dataset/annotations/20240317_002416.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_002419.jpg to dataset/annotations/20240317_002419.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204422.jpg to dataset/annotations/20240317_204422.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204426.jpg to dataset/annotations/20240317_204426.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204429.jpg to dataset/annotations/20240317_204429.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204431.jpg to dataset/annotations/20240317_204431.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204434.jpg to dataset/annotations/20240317_204434.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204436.jpg to dataset/annotations/20240317_204436.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240317_204503.jpg to dataset/annotations/20240317_204503.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240318_194443.jpg to dataset/annotations/20240318_194443.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240320_171347.jpg to dataset/annotations/20240320_171347.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185912.jpg to dataset/annotations/20240323_185912.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185914.jpg to dataset/annotations/20240323_185914.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185916.jpg to dataset/annotations/20240323_185916.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185917.jpg to dataset/annotations/20240323_185917.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185921.jpg to dataset/annotations/20240323_185921.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185922.jpg to dataset/annotations/20240323_185922.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185924.jpg to dataset/annotations/20240323_185924.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_185950.jpg to dataset/annotations/20240323_185950.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_190014.jpg to dataset/annotations/20240323_190014.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193424.jpg to dataset/annotations/20240323_193424.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193431.jpg to dataset/annotations/20240323_193431.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240323_193433.jpg to dataset/annotations/20240323_193433.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175352.jpg to dataset/annotations/20240324_175352.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175354.jpg to dataset/annotations/20240324_175354.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175358.jpg to dataset/annotations/20240324_175358.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175402.jpg to dataset/annotations/20240324_175402.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175405.jpg to dataset/annotations/20240324_175405.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175406.jpg to dataset/annotations/20240324_175406.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240324_175407.jpg to dataset/annotations/20240324_175407.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240325_163728.jpg to dataset/annotations/20240325_163728.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_131427.jpg to dataset/annotations/20240326_131427.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_131431.jpg to dataset/annotations/20240326_131431.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183749.jpg to dataset/annotations/20240326_183749.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183757.jpg to dataset/annotations/20240326_183757.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183759.jpg to dataset/annotations/20240326_183759.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183803.jpg to dataset/annotations/20240326_183803.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240326_183810.jpg to dataset/annotations/20240326_183810.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135547.jpg to dataset/annotations/20240327_135547.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135550.jpg to dataset/annotations/20240327_135550.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135553.jpg to dataset/annotations/20240327_135553.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135555.jpg to dataset/annotations/20240327_135555.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240327_135643.jpg to dataset/annotations/20240327_135643.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240329_223942(0).jpg to dataset/annotations/20240329_223942(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240329_223942.jpg to dataset/annotations/20240329_223942.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240329_223945.jpg to dataset/annotations/20240329_223945.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224228.jpg to dataset/annotations/20240404_224228.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224230.jpg to dataset/annotations/20240404_224230.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224232.jpg to dataset/annotations/20240404_224232.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224233.jpg to dataset/annotations/20240404_224233.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224236.jpg to dataset/annotations/20240404_224236.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224237.jpg to dataset/annotations/20240404_224237.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240404_224242.jpg to dataset/annotations/20240404_224242.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152307.jpg to dataset/annotations/20240405_152307.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152308.jpg to dataset/annotations/20240405_152308.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152310.jpg to dataset/annotations/20240405_152310.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152316.jpg to dataset/annotations/20240405_152316.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152338.jpg to dataset/annotations/20240405_152338.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240405_152341.jpg to dataset/annotations/20240405_152341.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233500.jpg to dataset/annotations/20240413_233500.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233501.jpg to dataset/annotations/20240413_233501.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233502.jpg to dataset/annotations/20240413_233502.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233503.jpg to dataset/annotations/20240413_233503.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233504.jpg to dataset/annotations/20240413_233504.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233505.jpg to dataset/annotations/20240413_233505.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233506.jpg to dataset/annotations/20240413_233506.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_233600.jpg to dataset/annotations/20240413_233600.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234112.jpg to dataset/annotations/20240413_234112.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234115.jpg to dataset/annotations/20240413_234115.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234507.jpg to dataset/annotations/20240413_234507.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234510.jpg to dataset/annotations/20240413_234510.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234512.jpg to dataset/annotations/20240413_234512.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234514.jpg to dataset/annotations/20240413_234514.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234520.jpg to dataset/annotations/20240413_234520.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234523.jpg to dataset/annotations/20240413_234523.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234524.jpg to dataset/annotations/20240413_234524.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234630.jpg to dataset/annotations/20240413_234630.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_234749.jpg to dataset/annotations/20240413_234749.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240413_235449.jpg to dataset/annotations/20240413_235449.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240414_204832.jpg to dataset/annotations/20240414_204832.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240415_191936.jpg to dataset/annotations/20240415_191936.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240416_131400.jpg to dataset/annotations/20240416_131400.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240423_103248.jpg to dataset/annotations/20240423_103248.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240424_204037.jpg to dataset/annotations/20240424_204037.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240425_224816.jpg to dataset/annotations/20240425_224816.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240425_224817(0).jpg to dataset/annotations/20240425_224817(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240425_224817.jpg to dataset/annotations/20240425_224817.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240425_224819.jpg to dataset/annotations/20240425_224819.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240426_133718.jpg to dataset/annotations/20240426_133718.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240426_133720.jpg to dataset/annotations/20240426_133720.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_113516.jpg to dataset/annotations/20240427_113516.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_113519.jpg to dataset/annotations/20240427_113519.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_130031.jpg to dataset/annotations/20240427_130031.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_130032.jpg to dataset/annotations/20240427_130032.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240427_130041.jpg to dataset/annotations/20240427_130041.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240503_173937.jpg to dataset/annotations/20240503_173937.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240503_173948.jpg to dataset/annotations/20240503_173948.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185557.jpg to dataset/annotations/20240509_185557.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185559.jpg to dataset/annotations/20240509_185559.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185601.jpg to dataset/annotations/20240509_185601.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185604.jpg to dataset/annotations/20240509_185604.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185606.jpg to dataset/annotations/20240509_185606.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185608.jpg to dataset/annotations/20240509_185608.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240509_185612.jpg to dataset/annotations/20240509_185612.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_185650.jpg to dataset/annotations/20240511_185650.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_185651.jpg to dataset/annotations/20240511_185651.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_185652.jpg to dataset/annotations/20240511_185652.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_194053.jpg to dataset/annotations/20240511_194053.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240511_210228.jpg to dataset/annotations/20240511_210228.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_071046.jpg to dataset/annotations/20240512_071046.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_071050.jpg to dataset/annotations/20240512_071050.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_071052.jpg to dataset/annotations/20240512_071052.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_071053.jpg to dataset/annotations/20240512_071053.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_072915.jpg to dataset/annotations/20240512_072915.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_231919.jpg to dataset/annotations/20240512_231919.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_231920.jpg to dataset/annotations/20240512_231920.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_235311.jpg to dataset/annotations/20240512_235311.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_235315.jpg to dataset/annotations/20240512_235315.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240512_235317.jpg to dataset/annotations/20240512_235317.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090846.jpg to dataset/annotations/20240513_090846.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090900.jpg to dataset/annotations/20240513_090900.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090907.jpg to dataset/annotations/20240513_090907.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_090911.jpg to dataset/annotations/20240513_090911.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180307.jpg to dataset/annotations/20240513_180307.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180310.jpg to dataset/annotations/20240513_180310.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180316.jpg to dataset/annotations/20240513_180316.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180318.jpg to dataset/annotations/20240513_180318.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180331.jpg to dataset/annotations/20240513_180331.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180334.jpg to dataset/annotations/20240513_180334.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180532.jpg to dataset/annotations/20240513_180532.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180847.jpg to dataset/annotations/20240513_180847.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180849.jpg to dataset/annotations/20240513_180849.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180853.jpg to dataset/annotations/20240513_180853.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180937.jpg to dataset/annotations/20240513_180937.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240513_180939.jpg to dataset/annotations/20240513_180939.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_193135.jpg to dataset/annotations/20240514_193135.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_193136.jpg to dataset/annotations/20240514_193136.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_213919(0).jpg to dataset/annotations/20240514_213919(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_213919.jpg to dataset/annotations/20240514_213919.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_223849.jpg to dataset/annotations/20240514_223849.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240514_223851.jpg to dataset/annotations/20240514_223851.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240603_225020(0).jpg to dataset/annotations/20240603_225020(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240603_225020.jpg to dataset/annotations/20240603_225020.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192457.jpg to dataset/annotations/20240611_192457.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192458(0).jpg to dataset/annotations/20240611_192458(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192458.jpg to dataset/annotations/20240611_192458.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192459(0).jpg to dataset/annotations/20240611_192459(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192459.jpg to dataset/annotations/20240611_192459.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192501(0).jpg to dataset/annotations/20240611_192501(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192501.jpg to dataset/annotations/20240611_192501.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192502(0).jpg to dataset/annotations/20240611_192502(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192502.jpg to dataset/annotations/20240611_192502.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192503.jpg to dataset/annotations/20240611_192503.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192504.jpg to dataset/annotations/20240611_192504.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192505.jpg to dataset/annotations/20240611_192505.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192506.jpg to dataset/annotations/20240611_192506.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192508.jpg to dataset/annotations/20240611_192508.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192509.jpg to dataset/annotations/20240611_192509.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192512(0).jpg to dataset/annotations/20240611_192512(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192513.jpg to dataset/annotations/20240611_192513.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192514.jpg to dataset/annotations/20240611_192514.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192515(0).jpg to dataset/annotations/20240611_192515(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192515.jpg to dataset/annotations/20240611_192515.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192533.jpg to dataset/annotations/20240611_192533.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192534(0).jpg to dataset/annotations/20240611_192534(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192534.jpg to dataset/annotations/20240611_192534.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192535.jpg to dataset/annotations/20240611_192535.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192537.jpg to dataset/annotations/20240611_192537.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192538(0).jpg to dataset/annotations/20240611_192538(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192538.jpg to dataset/annotations/20240611_192538.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192539(0).jpg to dataset/annotations/20240611_192539(0).txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192539.jpg to dataset/annotations/20240611_192539.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192542.jpg to dataset/annotations/20240611_192542.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240611_192544.jpg to dataset/annotations/20240611_192544.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205057.jpg to dataset/annotations/20240618_205057.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205103.jpg to dataset/annotations/20240618_205103.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205105.jpg to dataset/annotations/20240618_205105.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205110.jpg to dataset/annotations/20240618_205110.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205113.jpg to dataset/annotations/20240618_205113.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205119.jpg to dataset/annotations/20240618_205119.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240618_205121.jpg to dataset/annotations/20240618_205121.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240623_192721.jpg to dataset/annotations/20240623_192721.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240624_200545.jpg to dataset/annotations/20240624_200545.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240624_200548.jpg to dataset/annotations/20240624_200548.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240624_200549.jpg to dataset/annotations/20240624_200549.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012349.jpg to dataset/annotations/20240628_012349.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012352.jpg to dataset/annotations/20240628_012352.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012400.jpg to dataset/annotations/20240628_012400.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012402.jpg to dataset/annotations/20240628_012402.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012407.jpg to dataset/annotations/20240628_012407.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_012408.jpg to dataset/annotations/20240628_012408.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_231410.jpg to dataset/annotations/20240628_231410.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_231412.jpg to dataset/annotations/20240628_231412.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240628_231413.jpg to dataset/annotations/20240628_231413.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240704_202652.jpg to dataset/annotations/20240704_202652.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240711_221427.jpg to dataset/annotations/20240711_221427.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240711_221435.jpg to dataset/annotations/20240711_221435.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165019.jpg to dataset/annotations/20240720_165019.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165021.jpg to dataset/annotations/20240720_165021.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165025.jpg to dataset/annotations/20240720_165025.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165028.jpg to dataset/annotations/20240720_165028.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165029.jpg to dataset/annotations/20240720_165029.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165031.jpg to dataset/annotations/20240720_165031.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165033.jpg to dataset/annotations/20240720_165033.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_165040.jpg to dataset/annotations/20240720_165040.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_224858.jpg to dataset/annotations/20240720_224858.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_224902.jpg to dataset/annotations/20240720_224902.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_224903.jpg to dataset/annotations/20240720_224903.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240720_224905.jpg to dataset/annotations/20240720_224905.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240726_225449.jpg to dataset/annotations/20240726_225449.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240727_085826.jpg to dataset/annotations/20240727_085826.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240802_203206.jpg to dataset/annotations/20240802_203206.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102342.jpg to dataset/annotations/20240816_102342.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102347.jpg to dataset/annotations/20240816_102347.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102351.jpg to dataset/annotations/20240816_102351.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102354.jpg to dataset/annotations/20240816_102354.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102402.jpg to dataset/annotations/20240816_102402.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102407.jpg to dataset/annotations/20240816_102407.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102411.jpg to dataset/annotations/20240816_102411.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_102415.jpg to dataset/annotations/20240816_102415.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240816_113806.jpg to dataset/annotations/20240816_113806.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_145117.jpg to dataset/annotations/20240817_145117.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_145118.jpg to dataset/annotations/20240817_145118.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171056.jpg to dataset/annotations/20240817_171056.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171058.jpg to dataset/annotations/20240817_171058.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171104.jpg to dataset/annotations/20240817_171104.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171110.jpg to dataset/annotations/20240817_171110.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_171111.jpg to dataset/annotations/20240817_171111.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_203211.jpg to dataset/annotations/20240817_203211.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_203213.jpg to dataset/annotations/20240817_203213.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_203217.jpg to dataset/annotations/20240817_203217.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240817_203219.jpg to dataset/annotations/20240817_203219.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_164652.jpg to dataset/annotations/20240819_164652.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_164655.jpg to dataset/annotations/20240819_164655.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_171436.jpg to dataset/annotations/20240819_171436.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_171438.jpg to dataset/annotations/20240819_171438.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_171443.jpg to dataset/annotations/20240819_171443.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_173348.jpg to dataset/annotations/20240819_173348.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_173355.jpg to dataset/annotations/20240819_173355.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_173426.jpg to dataset/annotations/20240819_173426.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211309.jpg to dataset/annotations/20240819_211309.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211312.jpg to dataset/annotations/20240819_211312.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211313.jpg to dataset/annotations/20240819_211313.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211320.jpg to dataset/annotations/20240819_211320.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211321.jpg to dataset/annotations/20240819_211321.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211322.jpg to dataset/annotations/20240819_211322.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211330.jpg to dataset/annotations/20240819_211330.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240819_211333.jpg to dataset/annotations/20240819_211333.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240820_144924.jpg to dataset/annotations/20240820_144924.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240820_145200.jpg to dataset/annotations/20240820_145200.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144759.jpg to dataset/annotations/20240826_144759.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144801.jpg to dataset/annotations/20240826_144801.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144806.jpg to dataset/annotations/20240826_144806.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144808.jpg to dataset/annotations/20240826_144808.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_144935.jpg to dataset/annotations/20240826_144935.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145214.jpg to dataset/annotations/20240826_145214.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145834.jpg to dataset/annotations/20240826_145834.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145836.jpg to dataset/annotations/20240826_145836.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145837.jpg to dataset/annotations/20240826_145837.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145839.jpg to dataset/annotations/20240826_145839.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145844.jpg to dataset/annotations/20240826_145844.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145846.jpg to dataset/annotations/20240826_145846.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_145849.jpg to dataset/annotations/20240826_145849.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150807.jpg to dataset/annotations/20240826_150807.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150810.jpg to dataset/annotations/20240826_150810.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150813.jpg to dataset/annotations/20240826_150813.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_150852.jpg to dataset/annotations/20240826_150852.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_152201.jpg to dataset/annotations/20240826_152201.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_152205.jpg to dataset/annotations/20240826_152205.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_152211.jpg to dataset/annotations/20240826_152211.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240826_152212.jpg to dataset/annotations/20240826_152212.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240827_224300.jpg to dataset/annotations/20240827_224300.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240827_224303.jpg to dataset/annotations/20240827_224303.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240828_102222.jpg to dataset/annotations/20240828_102222.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240828_102229.jpg to dataset/annotations/20240828_102229.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211802.jpg to dataset/annotations/20240903_211802.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211803.jpg to dataset/annotations/20240903_211803.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211811.jpg to dataset/annotations/20240903_211811.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211818.jpg to dataset/annotations/20240903_211818.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240903_211821.jpg to dataset/annotations/20240903_211821.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240907_115059.jpg to dataset/annotations/20240907_115059.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240907_115105.jpg to dataset/annotations/20240907_115105.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240907_115118.jpg to dataset/annotations/20240907_115118.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_190713.jpg to dataset/annotations/20240908_190713.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_190829.jpg to dataset/annotations/20240908_190829.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_194737.jpg to dataset/annotations/20240908_194737.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_194739.jpg to dataset/annotations/20240908_194739.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240908_194752.jpg to dataset/annotations/20240908_194752.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240909_000642.jpg to dataset/annotations/20240909_000642.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240909_000646.jpg to dataset/annotations/20240909_000646.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124611.jpg to dataset/annotations/20240910_124611.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124612.jpg to dataset/annotations/20240910_124612.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124720.jpg to dataset/annotations/20240910_124720.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124723.jpg to dataset/annotations/20240910_124723.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124734.jpg to dataset/annotations/20240910_124734.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124738.jpg to dataset/annotations/20240910_124738.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240910_124741.jpg to dataset/annotations/20240910_124741.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091314.jpg to dataset/annotations/20240911_091314.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091319.jpg to dataset/annotations/20240911_091319.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091320.jpg to dataset/annotations/20240911_091320.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091322.jpg to dataset/annotations/20240911_091322.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091323.jpg to dataset/annotations/20240911_091323.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091329.jpg to dataset/annotations/20240911_091329.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091845.jpg to dataset/annotations/20240911_091845.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091846.jpg to dataset/annotations/20240911_091846.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091848.jpg to dataset/annotations/20240911_091848.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091850.jpg to dataset/annotations/20240911_091850.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091852.jpg to dataset/annotations/20240911_091852.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091859.jpg to dataset/annotations/20240911_091859.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091902.jpg to dataset/annotations/20240911_091902.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_091905.jpg to dataset/annotations/20240911_091905.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_193740.jpg to dataset/annotations/20240911_193740.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240911_193742.jpg to dataset/annotations/20240911_193742.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174204.jpg to dataset/annotations/20240912_174204.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174614.jpg to dataset/annotations/20240912_174614.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174616.jpg to dataset/annotations/20240912_174616.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_174636.jpg to dataset/annotations/20240912_174636.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_215106.jpg to dataset/annotations/20240912_215106.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_215113.jpg to dataset/annotations/20240912_215113.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240912_215119.jpg to dataset/annotations/20240912_215119.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240920_192026.jpg to dataset/annotations/20240920_192026.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240924_111824.jpg to dataset/annotations/20240924_111824.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240924_111829.jpg to dataset/annotations/20240924_111829.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240924_111831.jpg to dataset/annotations/20240924_111831.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162434.jpg to dataset/annotations/20240926_162434.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162437.jpg to dataset/annotations/20240926_162437.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162442.jpg to dataset/annotations/20240926_162442.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162443.jpg to dataset/annotations/20240926_162443.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162445.jpg to dataset/annotations/20240926_162445.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162452.jpg to dataset/annotations/20240926_162452.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162458.jpg to dataset/annotations/20240926_162458.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162500.jpg to dataset/annotations/20240926_162500.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240926_162503.jpg to dataset/annotations/20240926_162503.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_100748.jpg to dataset/annotations/20240929_100748.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_101009.jpg to dataset/annotations/20240929_101009.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_101014.jpg to dataset/annotations/20240929_101014.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_101016.jpg to dataset/annotations/20240929_101016.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240929_184523.jpg to dataset/annotations/20240929_184523.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20240930_151259.jpg to dataset/annotations/20240930_151259.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241002_212916.jpg to dataset/annotations/20241002_212916.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241002_212925.jpg to dataset/annotations/20241002_212925.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241002_212949.jpg to dataset/annotations/20241002_212949.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241004_112619.jpg to dataset/annotations/20241004_112619.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241004_112626.jpg to dataset/annotations/20241004_112626.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094705.jpg to dataset/annotations/20241008_094705.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094939.jpg to dataset/annotations/20241008_094939.txt\n",
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"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241008_094940.jpg to dataset/annotations/20241008_094940.txt\n",
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|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241009_121558.jpg to dataset/annotations/20241009_121558.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191519.jpg to dataset/annotations/20241013_191519.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191520.jpg to dataset/annotations/20241013_191520.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191523.jpg to dataset/annotations/20241013_191523.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191525.jpg to dataset/annotations/20241013_191525.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191527.jpg to dataset/annotations/20241013_191527.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241013_191529.jpg to dataset/annotations/20241013_191529.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_132210.jpg to dataset/annotations/20241017_132210.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_132216.jpg to dataset/annotations/20241017_132216.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_184948.jpg to dataset/annotations/20241017_184948.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241017_184949.jpg to dataset/annotations/20241017_184949.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241022_023307.jpg to dataset/annotations/20241022_023307.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241024_134452.jpg to dataset/annotations/20241024_134452.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241101_145241.jpg to dataset/annotations/20241101_145241.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_195434.jpg to dataset/annotations/20241115_195434.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_195439.jpg to dataset/annotations/20241115_195439.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_200624.jpg to dataset/annotations/20241115_200624.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241115_200626.jpg to dataset/annotations/20241115_200626.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241124_220257.jpg to dataset/annotations/20241124_220257.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241124_220259.jpg to dataset/annotations/20241124_220259.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241206_164037.jpg to dataset/annotations/20241206_164037.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241206_164040.jpg to dataset/annotations/20241206_164040.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241217_102418.jpg to dataset/annotations/20241217_102418.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132045.jpg to dataset/annotations/20241222_132045.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132051.jpg to dataset/annotations/20241222_132051.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132058.jpg to dataset/annotations/20241222_132058.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132101.jpg to dataset/annotations/20241222_132101.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241222_132106.jpg to dataset/annotations/20241222_132106.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_130054.jpg to dataset/annotations/20241225_130054.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134500.jpg to dataset/annotations/20241225_134500.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_134627.jpg to dataset/annotations/20241225_134627.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135201.jpg to dataset/annotations/20241225_135201.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135219.jpg to dataset/annotations/20241225_135219.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135343(0).jpg to dataset/annotations/20241225_135343(0).txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135343.jpg to dataset/annotations/20241225_135343.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135345.jpg to dataset/annotations/20241225_135345.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135347.jpg to dataset/annotations/20241225_135347.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135352.jpg to dataset/annotations/20241225_135352.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135354.jpg to dataset/annotations/20241225_135354.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135710.jpg to dataset/annotations/20241225_135710.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241225_135712.jpg to dataset/annotations/20241225_135712.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241227_150819.jpg to dataset/annotations/20241227_150819.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20241227_150826.jpg to dataset/annotations/20241227_150826.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143721.jpg to dataset/annotations/20250105_143721.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143723.jpg to dataset/annotations/20250105_143723.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250105_143727.jpg to dataset/annotations/20250105_143727.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203850.jpg to dataset/annotations/20250112_203850.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203857.jpg to dataset/annotations/20250112_203857.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250112_203858.jpg to dataset/annotations/20250112_203858.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250116_174816.jpg to dataset/annotations/20250116_174816.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250117_172955.jpg to dataset/annotations/20250117_172955.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250120_225956.jpg to dataset/annotations/20250120_225956.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250121_190039.jpg to dataset/annotations/20250121_190039.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250121_190043.jpg to dataset/annotations/20250121_190043.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142944.jpg to dataset/annotations/20250122_142944.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142946.jpg to dataset/annotations/20250122_142946.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142948.jpg to dataset/annotations/20250122_142948.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142949.jpg to dataset/annotations/20250122_142949.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142953.jpg to dataset/annotations/20250122_142953.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\20250122_142958.jpg to dataset/annotations/20250122_142958.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG_20240318_231934_252.webp to dataset/annotations/IMG_20240318_231934_252.txt\n",
|
|
"Saved YOLO annotation for e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\cats\\IMG_20241207_211456_238.jpg to dataset/annotations/IMG_20241207_211456_238.txt\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"annotations_folder = 'dataset/annotations/' \n",
|
|
"# Save YOLO annotations to files\n",
|
|
"for original_image, boxes in annotations.items():\n",
|
|
" annotation_file = os.path.join(annotations_folder, f\"{os.path.basename(original_image).split('.')[0]}.txt\")\n",
|
|
" with open(annotation_file, \"w\") as f:\n",
|
|
" for class_id, x_center, y_center, width, height in boxes:\n",
|
|
" f.write(f\"{class_id} {x_center} {y_center} {width} {height}\\n\")\n",
|
|
" print(f\"Saved YOLO annotation for {original_image} to {annotation_file}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 68,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import shutil\n",
|
|
"from sklearn.model_selection import train_test_split"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 70,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Define the paths\n",
|
|
"original_images_path = \"dataset/Cats\"\n",
|
|
"original_annotations_path = \"dataset/annotations\"\n",
|
|
"\n",
|
|
"# Define the YOLO structure paths\n",
|
|
"output_images_train = \"dataset/images/train\"\n",
|
|
"output_images_val = \"dataset/images/val\"\n",
|
|
"output_labels_train = \"dataset/labels/train\"\n",
|
|
"output_labels_val = \"dataset/labels/val\"\n",
|
|
"\n",
|
|
"# Create YOLO directory structure\n",
|
|
"os.makedirs(output_images_train, exist_ok=True)\n",
|
|
"os.makedirs(output_images_val, exist_ok=True)\n",
|
|
"os.makedirs(output_labels_train, exist_ok=True)\n",
|
|
"os.makedirs(output_labels_val, exist_ok=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 83,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Get all image and annotation files\n",
|
|
"images = {os.path.splitext(f)[0]: f for f in os.listdir(original_images_path)}\n",
|
|
"annotations = {os.path.splitext(f)[0]: f for f in os.listdir(original_annotations_path) if f.endswith(\".txt\")}\n",
|
|
"\n",
|
|
"# Match images to their annotations (by base name)\n",
|
|
"matched_files = [(images[key], annotations[key]) for key in images if key in annotations]\n",
|
|
"\n",
|
|
"if not matched_files:\n",
|
|
" raise ValueError(\"No matching images and annotations found!\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 87,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"558\n",
|
|
"465\n",
|
|
"465\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(len(images))\n",
|
|
"print(len(annotations))\n",
|
|
"print(len(matched_files))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 86,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Split into train and validation sets\n",
|
|
"train_files, val_files = train_test_split(matched_files, test_size=0.2, random_state=42)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 88,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Function to copy files\n",
|
|
"def copy_files(file_pairs, src_image_folder, src_label_folder, dest_image_folder, dest_label_folder):\n",
|
|
" for img_file, ann_file in file_pairs:\n",
|
|
" # Copy image\n",
|
|
" shutil.copy(os.path.join(src_image_folder, img_file), os.path.join(dest_image_folder, img_file))\n",
|
|
" # Copy annotation\n",
|
|
" shutil.copy(os.path.join(src_label_folder, ann_file), os.path.join(dest_label_folder, ann_file))\n",
|
|
"\n",
|
|
"# Copy training files\n",
|
|
"copy_files(train_files, original_images_path, original_annotations_path, output_images_train, output_labels_train)\n",
|
|
"\n",
|
|
"# Copy validation files\n",
|
|
"copy_files(val_files, original_images_path, original_annotations_path, output_images_val, output_labels_val)\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 89,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\u001b[34m\u001b[1mengine\\trainer: \u001b[0mtask=detect, mode=train, model=yolov8n.pt, data=cats_dataset.yaml, epochs=50, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=cuda:0, workers=4, project=None, name=cat_detection, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=True, opset=None, workspace=None, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, copy_paste_mode=flip, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs\\detect\\cat_detection\n",
|
|
"Downloading https://ultralytics.com/assets/Arial.ttf to 'C:\\Users\\danie\\AppData\\Roaming\\Ultralytics\\Arial.ttf'...\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
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"100%|██████████| 755k/755k [00:00<00:00, 4.81MB/s]\n"
|
|
]
|
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},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Overriding model.yaml nc=80 with nc=2\n",
|
|
"\n",
|
|
" from n params module arguments \n",
|
|
" 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] \n",
|
|
" 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] \n",
|
|
" 2 -1 1 7360 ultralytics.nn.modules.block.C2f [32, 32, 1, True] \n",
|
|
" 3 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2] \n",
|
|
" 4 -1 2 49664 ultralytics.nn.modules.block.C2f [64, 64, 2, True] \n",
|
|
" 5 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] \n",
|
|
" 6 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True] \n",
|
|
" 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] \n",
|
|
" 8 -1 1 460288 ultralytics.nn.modules.block.C2f [256, 256, 1, True] \n",
|
|
" 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5] \n",
|
|
" 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
|
|
" 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n",
|
|
" 12 -1 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1] \n",
|
|
" 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
|
|
" 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n",
|
|
" 15 -1 1 37248 ultralytics.nn.modules.block.C2f [192, 64, 1] \n",
|
|
" 16 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n",
|
|
" 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] \n",
|
|
" 18 -1 1 123648 ultralytics.nn.modules.block.C2f [192, 128, 1] \n",
|
|
" 19 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n",
|
|
" 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1] \n",
|
|
" 21 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1] \n",
|
|
" 22 [15, 18, 21] 1 751702 ultralytics.nn.modules.head.Detect [2, [64, 128, 256]] \n",
|
|
"Model summary: 225 layers, 3,011,238 parameters, 3,011,222 gradients, 8.2 GFLOPs\n",
|
|
"\n",
|
|
"Transferred 58/355 items from pretrained weights\n",
|
|
"Freezing layer 'model.22.dfl.conv.weight'\n",
|
|
"\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n",
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"\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" all 93 115 0.943 0.897 0.951 0.802\n"
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]
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},
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"name": "stderr",
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"output_type": "stream",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"50 epochs completed in 0.383 hours.\n",
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"Optimizer stripped from runs\\detect\\cat_detection\\weights\\last.pt, 6.2MB\n",
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"Optimizer stripped from runs\\detect\\cat_detection\\weights\\best.pt, 6.2MB\n",
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"\n",
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"Validating runs\\detect\\cat_detection\\weights\\best.pt...\n",
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"Ultralytics 8.3.65 Python-3.10.9 torch-2.5.1+cu124 CUDA:0 (NVIDIA GeForce RTX 4060 Ti, 8187MiB)\n",
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"Model summary (fused): 168 layers, 3,006,038 parameters, 0 gradients, 8.1 GFLOPs\n"
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]
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},
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"name": "stderr",
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"output_type": "stream",
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"text": [
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" Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 3/3 [00:01<00:00, 1.61it/s]\n"
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]
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},
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"output_type": "stream",
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"text": [
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" all 93 115 0.943 0.897 0.951 0.804\n",
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" Tom 56 64 0.965 0.853 0.935 0.801\n",
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" Garfield 48 51 0.922 0.941 0.966 0.806\n",
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"Speed: 2.1ms preprocess, 1.8ms inference, 0.0ms loss, 2.5ms postprocess per image\n",
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"Results saved to \u001b[1mruns\\detect\\cat_detection\u001b[0m\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"ultralytics.utils.metrics.DetMetrics object with attributes:\n",
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"\n",
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"ap_class_index: array([0, 1])\n",
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"box: ultralytics.utils.metrics.Metric object\n",
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"confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x00000219175CD420>\n",
|
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"curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']\n",
|
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"curves_results: [[array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,\n",
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" 0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,\n",
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" 0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,\n",
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" 0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,\n",
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" 0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,\n",
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" 0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,\n",
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" 0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,\n",
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" 0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,\n",
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" 0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,\n",
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|
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" [ 1, 1, 1, ..., 0.31677, 0.31677, 0]]), 'Recall', 'Precision'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,\n",
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" 0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,\n",
|
|
" 0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,\n",
|
|
" 0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,\n",
|
|
" 0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,\n",
|
|
" 0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,\n",
|
|
" 0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,\n",
|
|
" 0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,\n",
|
|
" 0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,\n",
|
|
" 0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,\n",
|
|
" 0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,\n",
|
|
" 0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,\n",
|
|
" 0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,\n",
|
|
" 0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,\n",
|
|
" 0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,\n",
|
|
" 0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,\n",
|
|
" 0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,\n",
|
|
" 0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,\n",
|
|
" 0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,\n",
|
|
" 0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,\n",
|
|
" 0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,\n",
|
|
" 0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,\n",
|
|
" 0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,\n",
|
|
" 0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,\n",
|
|
" 0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,\n",
|
|
" 0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,\n",
|
|
" 0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,\n",
|
|
" 0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,\n",
|
|
" 0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,\n",
|
|
" 0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,\n",
|
|
" 0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,\n",
|
|
" 0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.12365, 0.12365, 0.39479, ..., 0, 0, 0],\n",
|
|
" [ 0.1351, 0.1351, 0.3119, ..., 0, 0, 0]]), 'Confidence', 'F1'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,\n",
|
|
" 0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,\n",
|
|
" 0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,\n",
|
|
" 0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,\n",
|
|
" 0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,\n",
|
|
" 0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,\n",
|
|
" 0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,\n",
|
|
" 0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,\n",
|
|
" 0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,\n",
|
|
" 0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,\n",
|
|
" 0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,\n",
|
|
" 0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,\n",
|
|
" 0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,\n",
|
|
" 0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,\n",
|
|
" 0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,\n",
|
|
" 0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,\n",
|
|
" 0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,\n",
|
|
" 0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,\n",
|
|
" 0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,\n",
|
|
" 0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,\n",
|
|
" 0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,\n",
|
|
" 0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,\n",
|
|
" 0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,\n",
|
|
" 0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,\n",
|
|
" 0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,\n",
|
|
" 0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,\n",
|
|
" 0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,\n",
|
|
" 0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,\n",
|
|
" 0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,\n",
|
|
" 0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,\n",
|
|
" 0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,\n",
|
|
" 0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,\n",
|
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" 0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,\n",
|
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" 0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,\n",
|
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" 0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,\n",
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" 0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,\n",
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" 0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,\n",
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" 0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,\n",
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" 0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,\n",
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" 0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,\n",
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" 0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,\n",
|
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" 0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.065969, 0.065969, 0.24791, ..., 1, 1, 1],\n",
|
|
" [ 0.072443, 0.072443, 0.18476, ..., 1, 1, 1]]), 'Confidence', 'Precision'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,\n",
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" 0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,\n",
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" 0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,\n",
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" 0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,\n",
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" 0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,\n",
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" 0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,\n",
|
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" 0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,\n",
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" 0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,\n",
|
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" 0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,\n",
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" 0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,\n",
|
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" 0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,\n",
|
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" 0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,\n",
|
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" 0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,\n",
|
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" 0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,\n",
|
|
" 0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,\n",
|
|
" 0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,\n",
|
|
" 0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,\n",
|
|
" 0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,\n",
|
|
" 0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,\n",
|
|
" 0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,\n",
|
|
" 0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,\n",
|
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" 0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,\n",
|
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" 0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,\n",
|
|
" 0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,\n",
|
|
" 0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,\n",
|
|
" 0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,\n",
|
|
" 0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,\n",
|
|
" 0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,\n",
|
|
" 0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,\n",
|
|
" 0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,\n",
|
|
" 0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,\n",
|
|
" 0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,\n",
|
|
" 0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,\n",
|
|
" 0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,\n",
|
|
" 0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,\n",
|
|
" 0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,\n",
|
|
" 0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,\n",
|
|
" 0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,\n",
|
|
" 0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,\n",
|
|
" 0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,\n",
|
|
" 0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,\n",
|
|
" 0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.98438, 0.98438, 0.96875, ..., 0, 0, 0],\n",
|
|
" [ 1, 1, 1, ..., 0, 0, 0]]), 'Confidence', 'Recall']]\n",
|
|
"fitness: 0.8184726558170026\n",
|
|
"keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']\n",
|
|
"maps: array([ 0.80124, 0.80629])\n",
|
|
"names: {0: 'Tom', 1: 'Garfield'}\n",
|
|
"plot: True\n",
|
|
"results_dict: {'metrics/precision(B)': 0.943492773503834, 'metrics/recall(B)': 0.8970135031545707, 'metrics/mAP50(B)': 0.950867345126137, 'metrics/mAP50-95(B)': 0.8037621347826542, 'fitness': 0.8184726558170026}\n",
|
|
"save_dir: WindowsPath('runs/detect/cat_detection')\n",
|
|
"speed: {'preprocess': 2.1078073850242043, 'inference': 1.8489976083078692, 'loss': 0.0, 'postprocess': 2.4962194504276396}\n",
|
|
"task: 'detect'"
|
|
]
|
|
},
|
|
"execution_count": 89,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"model.train(\n",
|
|
" data=\"cats_dataset.yaml\", # Path to the dataset YAML file\n",
|
|
" epochs=50, # Number of training epochs\n",
|
|
" imgsz=640, # Image size (default is 640x640)\n",
|
|
" batch=16, # Batch size (adjust based on your GPU memory)\n",
|
|
" name=\"cat_detection\", # Name of the training run\n",
|
|
" workers=4 # Number of data-loading workers (adjust as needed)\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 95,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Ultralytics 8.3.65 Python-3.10.9 torch-2.5.1+cu124 CUDA:0 (NVIDIA GeForce RTX 4060 Ti, 8187MiB)\n",
|
|
"Model summary (fused): 168 layers, 3,006,038 parameters, 0 gradients, 8.1 GFLOPs\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
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"text": [
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"\u001b[34m\u001b[1mval: \u001b[0mScanning E:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\labels\\val.cache... 93 images, 0 backgrounds, 0 corrupt: 100%|██████████| 93/93 [00:00<?, ?it/s]\n",
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" Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 6/6 [00:17<00:00, 2.85s/it]\n"
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]
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},
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{
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
|
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" all 93 115 0.943 0.898 0.948 0.798\n",
|
|
" Tom 56 64 0.965 0.854 0.932 0.789\n",
|
|
" Garfield 48 51 0.921 0.941 0.965 0.806\n",
|
|
"Speed: 1.7ms preprocess, 4.4ms inference, 0.0ms loss, 3.1ms postprocess per image\n",
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"Results saved to \u001b[1mruns\\detect\\val\u001b[0m\n",
|
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"ultralytics.utils.metrics.DetMetrics object with attributes:\n",
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"\n",
|
|
"ap_class_index: array([0, 1])\n",
|
|
"box: ultralytics.utils.metrics.Metric object\n",
|
|
"confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x00000218AEB70400>\n",
|
|
"curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']\n",
|
|
"curves_results: [[array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,\n",
|
|
" 0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,\n",
|
|
" 0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,\n",
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" 0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,\n",
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" 0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,\n",
|
|
" 0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,\n",
|
|
" 0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,\n",
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" 0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,\n",
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" 0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,\n",
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" 0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,\n",
|
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" 0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,\n",
|
|
" 0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,\n",
|
|
" 0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,\n",
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|
" 0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,\n",
|
|
" 0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,\n",
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" 0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,\n",
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" 0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,\n",
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" 0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,\n",
|
|
" 0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,\n",
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" 0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,\n",
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|
" 0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,\n",
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" 0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,\n",
|
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" 0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,\n",
|
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" 0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,\n",
|
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" 0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,\n",
|
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" 0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,\n",
|
|
" 0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,\n",
|
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" 0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,\n",
|
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" 0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,\n",
|
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" 0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,\n",
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" 0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,\n",
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" 0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,\n",
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" 0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,\n",
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" 0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,\n",
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" 0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,\n",
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" 0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,\n",
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" 0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,\n",
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" 0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,\n",
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" 0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,\n",
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" 0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,\n",
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" 0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,\n",
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" 0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 1, 1, 1, ..., 0.0089789, 0.0044895, 0],\n",
|
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" [ 1, 1, 1, ..., 0.22667, 0.22667, 0]]), 'Recall', 'Precision'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,\n",
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" 0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,\n",
|
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" 0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,\n",
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" 0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,\n",
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" 0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,\n",
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" 0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,\n",
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" 0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,\n",
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" 0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,\n",
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" 0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,\n",
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" 0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,\n",
|
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" 0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,\n",
|
|
" 0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,\n",
|
|
" 0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,\n",
|
|
" 0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,\n",
|
|
" 0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,\n",
|
|
" 0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,\n",
|
|
" 0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,\n",
|
|
" 0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,\n",
|
|
" 0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,\n",
|
|
" 0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,\n",
|
|
" 0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,\n",
|
|
" 0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,\n",
|
|
" 0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,\n",
|
|
" 0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,\n",
|
|
" 0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,\n",
|
|
" 0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,\n",
|
|
" 0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,\n",
|
|
" 0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,\n",
|
|
" 0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,\n",
|
|
" 0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,\n",
|
|
" 0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,\n",
|
|
" 0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,\n",
|
|
" 0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,\n",
|
|
" 0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,\n",
|
|
" 0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,\n",
|
|
" 0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,\n",
|
|
" 0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,\n",
|
|
" 0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.13084, 0.13103, 0.40692, ..., 0, 0, 0],\n",
|
|
" [ 0.13178, 0.13206, 0.29857, ..., 0, 0, 0]]), 'Confidence', 'F1'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,\n",
|
|
" 0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,\n",
|
|
" 0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,\n",
|
|
" 0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,\n",
|
|
" 0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,\n",
|
|
" 0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,\n",
|
|
" 0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,\n",
|
|
" 0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,\n",
|
|
" 0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,\n",
|
|
" 0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,\n",
|
|
" 0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,\n",
|
|
" 0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,\n",
|
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" 0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,\n",
|
|
" 0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,\n",
|
|
" 0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,\n",
|
|
" 0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,\n",
|
|
" 0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,\n",
|
|
" 0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,\n",
|
|
" 0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,\n",
|
|
" 0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,\n",
|
|
" 0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,\n",
|
|
" 0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,\n",
|
|
" 0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,\n",
|
|
" 0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,\n",
|
|
" 0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,\n",
|
|
" 0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,\n",
|
|
" 0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,\n",
|
|
" 0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,\n",
|
|
" 0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,\n",
|
|
" 0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,\n",
|
|
" 0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,\n",
|
|
" 0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,\n",
|
|
" 0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,\n",
|
|
" 0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,\n",
|
|
" 0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,\n",
|
|
" 0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,\n",
|
|
" 0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,\n",
|
|
" 0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,\n",
|
|
" 0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,\n",
|
|
" 0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,\n",
|
|
" 0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,\n",
|
|
" 0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.070078, 0.070185, 0.25755, ..., 1, 1, 1],\n",
|
|
" [ 0.070539, 0.070697, 0.17548, ..., 1, 1, 1]]), 'Confidence', 'Precision'], [array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 0.006006, 0.007007, 0.008008, 0.009009, 0.01001, 0.011011, 0.012012, 0.013013, 0.014014, 0.015015, 0.016016, 0.017017, 0.018018, 0.019019, 0.02002, 0.021021, 0.022022, 0.023023,\n",
|
|
" 0.024024, 0.025025, 0.026026, 0.027027, 0.028028, 0.029029, 0.03003, 0.031031, 0.032032, 0.033033, 0.034034, 0.035035, 0.036036, 0.037037, 0.038038, 0.039039, 0.04004, 0.041041, 0.042042, 0.043043, 0.044044, 0.045045, 0.046046, 0.047047,\n",
|
|
" 0.048048, 0.049049, 0.05005, 0.051051, 0.052052, 0.053053, 0.054054, 0.055055, 0.056056, 0.057057, 0.058058, 0.059059, 0.06006, 0.061061, 0.062062, 0.063063, 0.064064, 0.065065, 0.066066, 0.067067, 0.068068, 0.069069, 0.07007, 0.071071,\n",
|
|
" 0.072072, 0.073073, 0.074074, 0.075075, 0.076076, 0.077077, 0.078078, 0.079079, 0.08008, 0.081081, 0.082082, 0.083083, 0.084084, 0.085085, 0.086086, 0.087087, 0.088088, 0.089089, 0.09009, 0.091091, 0.092092, 0.093093, 0.094094, 0.095095,\n",
|
|
" 0.096096, 0.097097, 0.098098, 0.099099, 0.1001, 0.1011, 0.1021, 0.1031, 0.1041, 0.10511, 0.10611, 0.10711, 0.10811, 0.10911, 0.11011, 0.11111, 0.11211, 0.11311, 0.11411, 0.11512, 0.11612, 0.11712, 0.11812, 0.11912,\n",
|
|
" 0.12012, 0.12112, 0.12212, 0.12312, 0.12412, 0.12513, 0.12613, 0.12713, 0.12813, 0.12913, 0.13013, 0.13113, 0.13213, 0.13313, 0.13413, 0.13514, 0.13614, 0.13714, 0.13814, 0.13914, 0.14014, 0.14114, 0.14214, 0.14314,\n",
|
|
" 0.14414, 0.14515, 0.14615, 0.14715, 0.14815, 0.14915, 0.15015, 0.15115, 0.15215, 0.15315, 0.15415, 0.15516, 0.15616, 0.15716, 0.15816, 0.15916, 0.16016, 0.16116, 0.16216, 0.16316, 0.16416, 0.16517, 0.16617, 0.16717,\n",
|
|
" 0.16817, 0.16917, 0.17017, 0.17117, 0.17217, 0.17317, 0.17417, 0.17518, 0.17618, 0.17718, 0.17818, 0.17918, 0.18018, 0.18118, 0.18218, 0.18318, 0.18418, 0.18519, 0.18619, 0.18719, 0.18819, 0.18919, 0.19019, 0.19119,\n",
|
|
" 0.19219, 0.19319, 0.19419, 0.1952, 0.1962, 0.1972, 0.1982, 0.1992, 0.2002, 0.2012, 0.2022, 0.2032, 0.2042, 0.20521, 0.20621, 0.20721, 0.20821, 0.20921, 0.21021, 0.21121, 0.21221, 0.21321, 0.21421, 0.21522,\n",
|
|
" 0.21622, 0.21722, 0.21822, 0.21922, 0.22022, 0.22122, 0.22222, 0.22322, 0.22422, 0.22523, 0.22623, 0.22723, 0.22823, 0.22923, 0.23023, 0.23123, 0.23223, 0.23323, 0.23423, 0.23524, 0.23624, 0.23724, 0.23824, 0.23924,\n",
|
|
" 0.24024, 0.24124, 0.24224, 0.24324, 0.24424, 0.24525, 0.24625, 0.24725, 0.24825, 0.24925, 0.25025, 0.25125, 0.25225, 0.25325, 0.25425, 0.25526, 0.25626, 0.25726, 0.25826, 0.25926, 0.26026, 0.26126, 0.26226, 0.26326,\n",
|
|
" 0.26426, 0.26527, 0.26627, 0.26727, 0.26827, 0.26927, 0.27027, 0.27127, 0.27227, 0.27327, 0.27427, 0.27528, 0.27628, 0.27728, 0.27828, 0.27928, 0.28028, 0.28128, 0.28228, 0.28328, 0.28428, 0.28529, 0.28629, 0.28729,\n",
|
|
" 0.28829, 0.28929, 0.29029, 0.29129, 0.29229, 0.29329, 0.29429, 0.2953, 0.2963, 0.2973, 0.2983, 0.2993, 0.3003, 0.3013, 0.3023, 0.3033, 0.3043, 0.30531, 0.30631, 0.30731, 0.30831, 0.30931, 0.31031, 0.31131,\n",
|
|
" 0.31231, 0.31331, 0.31431, 0.31532, 0.31632, 0.31732, 0.31832, 0.31932, 0.32032, 0.32132, 0.32232, 0.32332, 0.32432, 0.32533, 0.32633, 0.32733, 0.32833, 0.32933, 0.33033, 0.33133, 0.33233, 0.33333, 0.33433, 0.33534,\n",
|
|
" 0.33634, 0.33734, 0.33834, 0.33934, 0.34034, 0.34134, 0.34234, 0.34334, 0.34434, 0.34535, 0.34635, 0.34735, 0.34835, 0.34935, 0.35035, 0.35135, 0.35235, 0.35335, 0.35435, 0.35536, 0.35636, 0.35736, 0.35836, 0.35936,\n",
|
|
" 0.36036, 0.36136, 0.36236, 0.36336, 0.36436, 0.36537, 0.36637, 0.36737, 0.36837, 0.36937, 0.37037, 0.37137, 0.37237, 0.37337, 0.37437, 0.37538, 0.37638, 0.37738, 0.37838, 0.37938, 0.38038, 0.38138, 0.38238, 0.38338,\n",
|
|
" 0.38438, 0.38539, 0.38639, 0.38739, 0.38839, 0.38939, 0.39039, 0.39139, 0.39239, 0.39339, 0.39439, 0.3954, 0.3964, 0.3974, 0.3984, 0.3994, 0.4004, 0.4014, 0.4024, 0.4034, 0.4044, 0.40541, 0.40641, 0.40741,\n",
|
|
" 0.40841, 0.40941, 0.41041, 0.41141, 0.41241, 0.41341, 0.41441, 0.41542, 0.41642, 0.41742, 0.41842, 0.41942, 0.42042, 0.42142, 0.42242, 0.42342, 0.42442, 0.42543, 0.42643, 0.42743, 0.42843, 0.42943, 0.43043, 0.43143,\n",
|
|
" 0.43243, 0.43343, 0.43443, 0.43544, 0.43644, 0.43744, 0.43844, 0.43944, 0.44044, 0.44144, 0.44244, 0.44344, 0.44444, 0.44545, 0.44645, 0.44745, 0.44845, 0.44945, 0.45045, 0.45145, 0.45245, 0.45345, 0.45445, 0.45546,\n",
|
|
" 0.45646, 0.45746, 0.45846, 0.45946, 0.46046, 0.46146, 0.46246, 0.46346, 0.46446, 0.46547, 0.46647, 0.46747, 0.46847, 0.46947, 0.47047, 0.47147, 0.47247, 0.47347, 0.47447, 0.47548, 0.47648, 0.47748, 0.47848, 0.47948,\n",
|
|
" 0.48048, 0.48148, 0.48248, 0.48348, 0.48448, 0.48549, 0.48649, 0.48749, 0.48849, 0.48949, 0.49049, 0.49149, 0.49249, 0.49349, 0.49449, 0.4955, 0.4965, 0.4975, 0.4985, 0.4995, 0.5005, 0.5015, 0.5025, 0.5035,\n",
|
|
" 0.5045, 0.50551, 0.50651, 0.50751, 0.50851, 0.50951, 0.51051, 0.51151, 0.51251, 0.51351, 0.51451, 0.51552, 0.51652, 0.51752, 0.51852, 0.51952, 0.52052, 0.52152, 0.52252, 0.52352, 0.52452, 0.52553, 0.52653, 0.52753,\n",
|
|
" 0.52853, 0.52953, 0.53053, 0.53153, 0.53253, 0.53353, 0.53453, 0.53554, 0.53654, 0.53754, 0.53854, 0.53954, 0.54054, 0.54154, 0.54254, 0.54354, 0.54454, 0.54555, 0.54655, 0.54755, 0.54855, 0.54955, 0.55055, 0.55155,\n",
|
|
" 0.55255, 0.55355, 0.55455, 0.55556, 0.55656, 0.55756, 0.55856, 0.55956, 0.56056, 0.56156, 0.56256, 0.56356, 0.56456, 0.56557, 0.56657, 0.56757, 0.56857, 0.56957, 0.57057, 0.57157, 0.57257, 0.57357, 0.57457, 0.57558,\n",
|
|
" 0.57658, 0.57758, 0.57858, 0.57958, 0.58058, 0.58158, 0.58258, 0.58358, 0.58458, 0.58559, 0.58659, 0.58759, 0.58859, 0.58959, 0.59059, 0.59159, 0.59259, 0.59359, 0.59459, 0.5956, 0.5966, 0.5976, 0.5986, 0.5996,\n",
|
|
" 0.6006, 0.6016, 0.6026, 0.6036, 0.6046, 0.60561, 0.60661, 0.60761, 0.60861, 0.60961, 0.61061, 0.61161, 0.61261, 0.61361, 0.61461, 0.61562, 0.61662, 0.61762, 0.61862, 0.61962, 0.62062, 0.62162, 0.62262, 0.62362,\n",
|
|
" 0.62462, 0.62563, 0.62663, 0.62763, 0.62863, 0.62963, 0.63063, 0.63163, 0.63263, 0.63363, 0.63463, 0.63564, 0.63664, 0.63764, 0.63864, 0.63964, 0.64064, 0.64164, 0.64264, 0.64364, 0.64464, 0.64565, 0.64665, 0.64765,\n",
|
|
" 0.64865, 0.64965, 0.65065, 0.65165, 0.65265, 0.65365, 0.65465, 0.65566, 0.65666, 0.65766, 0.65866, 0.65966, 0.66066, 0.66166, 0.66266, 0.66366, 0.66466, 0.66567, 0.66667, 0.66767, 0.66867, 0.66967, 0.67067, 0.67167,\n",
|
|
" 0.67267, 0.67367, 0.67467, 0.67568, 0.67668, 0.67768, 0.67868, 0.67968, 0.68068, 0.68168, 0.68268, 0.68368, 0.68468, 0.68569, 0.68669, 0.68769, 0.68869, 0.68969, 0.69069, 0.69169, 0.69269, 0.69369, 0.69469, 0.6957,\n",
|
|
" 0.6967, 0.6977, 0.6987, 0.6997, 0.7007, 0.7017, 0.7027, 0.7037, 0.7047, 0.70571, 0.70671, 0.70771, 0.70871, 0.70971, 0.71071, 0.71171, 0.71271, 0.71371, 0.71471, 0.71572, 0.71672, 0.71772, 0.71872, 0.71972,\n",
|
|
" 0.72072, 0.72172, 0.72272, 0.72372, 0.72472, 0.72573, 0.72673, 0.72773, 0.72873, 0.72973, 0.73073, 0.73173, 0.73273, 0.73373, 0.73473, 0.73574, 0.73674, 0.73774, 0.73874, 0.73974, 0.74074, 0.74174, 0.74274, 0.74374,\n",
|
|
" 0.74474, 0.74575, 0.74675, 0.74775, 0.74875, 0.74975, 0.75075, 0.75175, 0.75275, 0.75375, 0.75475, 0.75576, 0.75676, 0.75776, 0.75876, 0.75976, 0.76076, 0.76176, 0.76276, 0.76376, 0.76476, 0.76577, 0.76677, 0.76777,\n",
|
|
" 0.76877, 0.76977, 0.77077, 0.77177, 0.77277, 0.77377, 0.77477, 0.77578, 0.77678, 0.77778, 0.77878, 0.77978, 0.78078, 0.78178, 0.78278, 0.78378, 0.78478, 0.78579, 0.78679, 0.78779, 0.78879, 0.78979, 0.79079, 0.79179,\n",
|
|
" 0.79279, 0.79379, 0.79479, 0.7958, 0.7968, 0.7978, 0.7988, 0.7998, 0.8008, 0.8018, 0.8028, 0.8038, 0.8048, 0.80581, 0.80681, 0.80781, 0.80881, 0.80981, 0.81081, 0.81181, 0.81281, 0.81381, 0.81481, 0.81582,\n",
|
|
" 0.81682, 0.81782, 0.81882, 0.81982, 0.82082, 0.82182, 0.82282, 0.82382, 0.82482, 0.82583, 0.82683, 0.82783, 0.82883, 0.82983, 0.83083, 0.83183, 0.83283, 0.83383, 0.83483, 0.83584, 0.83684, 0.83784, 0.83884, 0.83984,\n",
|
|
" 0.84084, 0.84184, 0.84284, 0.84384, 0.84484, 0.84585, 0.84685, 0.84785, 0.84885, 0.84985, 0.85085, 0.85185, 0.85285, 0.85385, 0.85485, 0.85586, 0.85686, 0.85786, 0.85886, 0.85986, 0.86086, 0.86186, 0.86286, 0.86386,\n",
|
|
" 0.86486, 0.86587, 0.86687, 0.86787, 0.86887, 0.86987, 0.87087, 0.87187, 0.87287, 0.87387, 0.87487, 0.87588, 0.87688, 0.87788, 0.87888, 0.87988, 0.88088, 0.88188, 0.88288, 0.88388, 0.88488, 0.88589, 0.88689, 0.88789,\n",
|
|
" 0.88889, 0.88989, 0.89089, 0.89189, 0.89289, 0.89389, 0.89489, 0.8959, 0.8969, 0.8979, 0.8989, 0.8999, 0.9009, 0.9019, 0.9029, 0.9039, 0.9049, 0.90591, 0.90691, 0.90791, 0.90891, 0.90991, 0.91091, 0.91191,\n",
|
|
" 0.91291, 0.91391, 0.91491, 0.91592, 0.91692, 0.91792, 0.91892, 0.91992, 0.92092, 0.92192, 0.92292, 0.92392, 0.92492, 0.92593, 0.92693, 0.92793, 0.92893, 0.92993, 0.93093, 0.93193, 0.93293, 0.93393, 0.93493, 0.93594,\n",
|
|
" 0.93694, 0.93794, 0.93894, 0.93994, 0.94094, 0.94194, 0.94294, 0.94394, 0.94494, 0.94595, 0.94695, 0.94795, 0.94895, 0.94995, 0.95095, 0.95195, 0.95295, 0.95395, 0.95495, 0.95596, 0.95696, 0.95796, 0.95896, 0.95996,\n",
|
|
" 0.96096, 0.96196, 0.96296, 0.96396, 0.96496, 0.96597, 0.96697, 0.96797, 0.96897, 0.96997, 0.97097, 0.97197, 0.97297, 0.97397, 0.97497, 0.97598, 0.97698, 0.97798, 0.97898, 0.97998, 0.98098, 0.98198, 0.98298, 0.98398,\n",
|
|
" 0.98498, 0.98599, 0.98699, 0.98799, 0.98899, 0.98999, 0.99099, 0.99199, 0.99299, 0.99399, 0.99499, 0.996, 0.997, 0.998, 0.999, 1]), array([[ 0.98438, 0.98438, 0.96875, ..., 0, 0, 0],\n",
|
|
" [ 1, 1, 1, ..., 0, 0, 0]]), 'Confidence', 'Recall']]\n",
|
|
"fitness: 0.8126186178355472\n",
|
|
"keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']\n",
|
|
"maps: array([ 0.78935, 0.80573])\n",
|
|
"names: {0: 'Tom', 1: 'Garfield'}\n",
|
|
"plot: True\n",
|
|
"results_dict: {'metrics/precision(B)': 0.9430115651391962, 'metrics/recall(B)': 0.8975594798061068, 'metrics/mAP50(B)': 0.9483266511721926, 'metrics/mAP50-95(B)': 0.7975399474648087, 'fitness': 0.8126186178355472}\n",
|
|
"save_dir: WindowsPath('runs/detect/val')\n",
|
|
"speed: {'preprocess': 1.6566168877386276, 'inference': 4.408738946401944, 'loss': 0.0, 'postprocess': 3.1229296038227696}\n",
|
|
"task: 'detect'\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"model = YOLO(\"runs/detect/cat_detection/weights/best.pt\")\n",
|
|
"# Validate on the validation dataset\n",
|
|
"metrics = model.val(data=\"cats_dataset.yaml\")\n",
|
|
"print(metrics)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 99,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"image 1/1 e:\\Facultate\\Master\\Anul 1\\CV\\Project\\dataset\\Cats\\20250122_142949.jpg: 640x480 1 Tom, 1 Garfield, 25.0ms\n",
|
|
"Speed: 4.0ms preprocess, 25.0ms inference, 6.0ms postprocess per image at shape (1, 3, 640, 480)\n",
|
|
"Results saved to \u001b[1mruns\\detect\\predict3\u001b[0m\n",
|
|
"ultralytics.engine.results.Results object with attributes:\n",
|
|
"\n",
|
|
"boxes: ultralytics.engine.results.Boxes object\n",
|
|
"keypoints: None\n",
|
|
"masks: None\n",
|
|
"names: {0: 'Tom', 1: 'Garfield'}\n",
|
|
"obb: None\n",
|
|
"orig_img: array([[[ 64, 50, 38],\n",
|
|
" [ 67, 53, 41],\n",
|
|
" [ 69, 55, 43],\n",
|
|
" ...,\n",
|
|
" [ 90, 122, 133],\n",
|
|
" [ 87, 119, 130],\n",
|
|
" [ 85, 117, 128]],\n",
|
|
"\n",
|
|
" [[ 63, 49, 37],\n",
|
|
" [ 66, 52, 40],\n",
|
|
" [ 70, 56, 44],\n",
|
|
" ...,\n",
|
|
" [ 70, 102, 113],\n",
|
|
" [ 67, 99, 110],\n",
|
|
" [ 72, 104, 115]],\n",
|
|
"\n",
|
|
" [[ 66, 52, 40],\n",
|
|
" [ 67, 53, 41],\n",
|
|
" [ 71, 57, 45],\n",
|
|
" ...,\n",
|
|
" [ 53, 85, 96],\n",
|
|
" [ 51, 83, 94],\n",
|
|
" [ 58, 90, 101]],\n",
|
|
"\n",
|
|
" ...,\n",
|
|
"\n",
|
|
" [[144, 146, 146],\n",
|
|
" [147, 149, 149],\n",
|
|
" [150, 152, 152],\n",
|
|
" ...,\n",
|
|
" [108, 112, 113],\n",
|
|
" [108, 112, 113],\n",
|
|
" [111, 115, 116]],\n",
|
|
"\n",
|
|
" [[144, 146, 146],\n",
|
|
" [146, 148, 148],\n",
|
|
" [148, 150, 150],\n",
|
|
" ...,\n",
|
|
" [104, 108, 109],\n",
|
|
" [107, 111, 112],\n",
|
|
" [109, 113, 114]],\n",
|
|
"\n",
|
|
" [[148, 150, 150],\n",
|
|
" [148, 150, 150],\n",
|
|
" [149, 151, 151],\n",
|
|
" ...,\n",
|
|
" [103, 107, 108],\n",
|
|
" [105, 109, 110],\n",
|
|
" [107, 111, 112]]], dtype=uint8)\n",
|
|
"orig_shape: (4000, 3000)\n",
|
|
"path: 'e:\\\\Facultate\\\\Master\\\\Anul 1\\\\CV\\\\Project\\\\dataset\\\\Cats\\\\20250122_142949.jpg'\n",
|
|
"probs: None\n",
|
|
"save_dir: 'runs\\\\detect\\\\predict3'\n",
|
|
"speed: {'preprocess': 4.025697708129883, 'inference': 25.003910064697266, 'postprocess': 5.973577499389648}\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"results = model.predict(source=\"dataset/Cats/20250122_142949.jpg\", save=True, conf=0.5)\n",
|
|
"\n",
|
|
"# View the results\n",
|
|
"for result in results:\n",
|
|
" print(result)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.10.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|