{"id":3040,"date":"2025-04-10T18:58:17","date_gmt":"2025-04-10T09:58:17","guid":{"rendered":"https:\/\/technologyagency.net\/wordpress\/?p=3040"},"modified":"2025-08-12T19:34:13","modified_gmt":"2025-08-12T10:34:13","slug":"ultralytics-yolo%e3%81%a7%e7%89%a9%e4%bd%93%e6%a4%9c%e5%87%ba%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/technologyagency.net\/wordpress\/2025\/04\/10\/ultralytics-yolo%e3%81%a7%e7%89%a9%e4%bd%93%e6%a4%9c%e5%87%ba%e3%81%99%e3%82%8b\/","title":{"rendered":"Ultralytics\u00a0YOLO\u3067\u7269\u4f53\u691c\u51fa\u3059\u308b"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">\u76ee\u7684<\/h2>\n\n\n\n<p>\u30ab\u30e1\u30e9\u6620\u50cf\u306b\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u7269\u4f53\u540d\u3092\u30e9\u30d9\u30eb\u4ed8\u3051\u3059\u308b\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u74b0\u5883<\/h2>\n\n\n\n<p>Winodows 11(Ubuntu\u3067\u3082\u52d5\u3044\u305f\u3002Ubuntu on Raspberry Pi 4\u3067\u3082\u52d5\u3044\u305f\u3002)<br>Python 3.12<br><a href=\"https:\/\/pytorch.org\/\">PyTorch<\/a>(\u6307\u5b9a\u3057\u305f\u30d0\u30fc\u30b8\u30e7\u30f3\u306eCUDA\u3092\u4f7f\u7528\u3057\u305f\u3044\u306a\u3069\u3001\u7406\u7531\u304c\u3042\u308c\u3070\u5148\u306b\u5165\u308c\u3066\u304a\u304f\u3002\u5f8c\u7d9a\u306e\u4f5c\u696d\u3067\u81ea\u52d5\u7684\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u306e\u3067\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066)<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" data-code-block-pro-font-family=\"\" style=\"font-size:.875rem;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span role=\"button\" tabindex=\"0\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><pre class=\"code-block-pro-copy-button-pre\" aria-hidden=\"true\"><textarea class=\"code-block-pro-copy-button-textarea\" tabindex=\"-1\" aria-hidden=\"true\" readonly>pip install torch torchvision torchaudio --index-url https:\/\/download.pytorch.org\/whl\/cu126<\/textarea><\/pre><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9FF\">pip install torch torchvision torchaudio --index-url https:\/\/download.pytorch.org\/whl\/cu126<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">\u30e9\u30a4\u30bb\u30f3\u30b9<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.ultralytics.com\/ja\/license\">Ultralytics YOLO<\/a>\u3092\u7121\u511f\u3067\u4f7f\u3046\u306a\u3089<strong>AGPL-3.0 License<\/strong>\u306b\u306a\u308b\u3002<\/p>\n\n\n\n<p><strong>AGPL-3.0 License<\/strong>: This&nbsp;<a href=\"https:\/\/opensource.org\/license\">OSI-approved<\/a>&nbsp;open-source license is perfect for students, researchers, and enthusiasts. It encourages open collaboration and knowledge sharing. See the&nbsp;<a href=\"https:\/\/github.com\/ultralytics\/ultralytics\/blob\/main\/LICENSE\">LICENSE<\/a>&nbsp;file for full details.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u4eee\u60f3\u74b0\u5883\u3092\u4f5c\u6210\u3057\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" data-code-block-pro-font-family=\"\" style=\"font-size:.875rem;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span role=\"button\" tabindex=\"0\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><pre class=\"code-block-pro-copy-button-pre\" aria-hidden=\"true\"><textarea class=\"code-block-pro-copy-button-textarea\" tabindex=\"-1\" aria-hidden=\"true\" readonly>mkdir yolo\ncd yolo\npython -m venv --system-site-packages venv\n\nvenv\\Scripts\\activate\n\npip install ultralytics<\/textarea><\/pre><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #81A1C1\">mkdir<\/span><span style=\"color: #D8DEE9FF\"> yolo<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">cd<\/span><span style=\"color: #D8DEE9FF\"> yolo<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">python -m venv --system-site-packages venv<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">venv\\Scripts\\activate<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">pip install ultralytics<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">\u52d5\u4f5c\u78ba\u8a8d<\/h2>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" data-code-block-pro-font-family=\"\" style=\"font-size:.875rem;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span role=\"button\" tabindex=\"0\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><pre class=\"code-block-pro-copy-button-pre\" aria-hidden=\"true\"><textarea class=\"code-block-pro-copy-button-textarea\" tabindex=\"-1\" aria-hidden=\"true\" readonly>yolo detect predict model=yolo11n.pt<\/textarea><\/pre><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9FF\">yolo detect predict model=yolo11n.pt<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>Ultralytics 8.3.103 \ud83d\ude80 Python-3.12.9 torch-2.6.0+cu126 CUDA:0 (NVIDIA GeForce RTX 4060 Ti, 16380MiB)<br>YOLO11n summary (fused): 100 layers, 2,616,248 parameters, 0 gradients, 6.5 GFLOPs<\/p>\n\n\n\n<p>image 1\/2 D:\\yolo\\venv\\Lib\\site-packages\\ultralytics\\assets\\bus.jpg: 640&#215;480 4 persons, 1 bus, 44.3ms<br>image 2\/2 D:\\yolo\\venv\\Lib\\site-packages\\ultralytics\\assets\\zidane.jpg: 384&#215;640 2 persons, 1 tie, 45.9ms<br>Speed: 3.5ms preprocess, 45.1ms inference, 62.8ms postprocess per image at shape (1, 3, 384, 640)<br>Results saved to runs\\detect\\predict<\/p>\n\n\n\n<p>\u203b\u4ee5\u4e0b\u306fRaspberry Pi 4\u3067\u52d5\u304b\u3057\u305f\u3068\u304d\u306e\u5b9f\u884c\u7d50\u679c\u3002\uff08\u3055\u3059\u304c\u306b\u9045\u3044\uff09<\/p>\n\n\n\n<p>Ultralytics 8.3.105 \ud83d\ude80 Python-3.12.3 torch-2.6.0+cpu CPU (Cortex-A72)<br>YOLO11n summary (fused): 100 layers, 2,616,248 parameters, 0 gradients, 6.5 GFLOPs<\/p>\n\n\n\n<p>image 1\/2 \/home\/xxx\/yolo\/venv\/lib\/python3.12\/site-packages\/ultralytics\/assets\/bus.jpg: 640&#215;480 4 persons, 1 bus, 1180.9ms<br>image 2\/2 \/home\/xxx\/yolo\/venv\/lib\/python3.12\/site-packages\/ultralytics\/assets\/zidane.jpg: 384&#215;640 2 persons, 1 tie, 935.2ms<br>Speed: 16.4ms preprocess, 1058.1ms inference, 6.1ms postprocess per image at shape (1, 3, 384, 640)<br>Results saved to runs\/detect\/predict<\/p>\n\n\n\n<p>\u203bRaspberry Pi 5\u306a\u3089<a href=\"https:\/\/github.com\/Tencent\/ncnn\">NCNN<\/a>\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3082\u691c\u8a0e\u3002Pi 4\u3067\u306fncnn\u306e\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u304c\u30a8\u30e9\u30fc\u306b\u306a\u3063\u3066\u52d5\u304b\u306a\u304b\u3063\u305f\u3002<br>pip install ncnn<br>yolo export model=yolo11n.pt format=ncnn<br><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u5b9f\u88c5<\/h2>\n\n\n\n<p>\u3053\u3061\u3089\uff08<a href=\"https:\/\/www.ejtech.io\/learn\/yolo-on-raspberry-pi\">https:\/\/www.ejtech.io\/learn\/yolo-on-raspberry-pi<\/a>\uff09\u3092\u53c2\u8003\u306b\u3055\u305b\u3066\u9802\u3044\u305f\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u306fyolo11l\u3092\u4f7f\u3063\u3066\u3044\u308b\u3002Raspberry Pi\u3067\u5b9f\u884c\u3059\u308b\u306a\u3089yolo11n\u304byolo11s\u306e\u3069\u3061\u3089\u304b\u306e\u307f\u306b\u306a\u308b\u304b\u3068\u601d\u3046\u3002<br>\u3053\u3061\u3089\uff08<a href=\"https:\/\/docs.ultralytics.com\/ja\/models\/yolo11\/\">https:\/\/docs.ultralytics.com\/ja\/models\/yolo11\/<\/a>\uff09\u304b\u3089\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u308b\u3002<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro\" data-code-block-pro-font-family=\"\" style=\"font-size:.875rem;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span role=\"button\" tabindex=\"0\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><pre class=\"code-block-pro-copy-button-pre\" aria-hidden=\"true\"><textarea class=\"code-block-pro-copy-button-textarea\" tabindex=\"-1\" aria-hidden=\"true\" readonly>import time\n\nimport cv2\nimport numpy as np\n\nfrom ultralytics import YOLO\n\n# Load the model into memory and get labemap\nmodel = YOLO('yolo11l.pt', task='detect')\nlabels = model.names\n\n# Load image source\ncap = cv2.VideoCapture(0)\n\n# Set bounding box colors (using the Tableu 10 color scheme)\nbbox_colors = &#91;(164,120,87), (68,148,228), (93,97,209), (178,182,133), (88,159,106), \n              (96,202,231), (159,124,168), (169,162,241), (98,118,150), (172,176,184)&#93;\n\n# Initialize control and status variables\navg_frame_rate = 0\nframe_rate_buffer = []\nfps_avg_len = 200\n\n# Begin inference loop\nwhile True:\n\n    t_start = time.perf_counter()\n    # Load frame from image source\n    ret, frame = cap.read()\n    if (frame is None) or (not ret):\n        print('Unable to read frames from the camera. This indicates the camera is disconnected or not working. Exiting program.')\n        break\n\n    # Run inference on frame\n    results = model(frame, verbose=False)\n\n    # Extract results\n    detections = results&#91;0&#93;.boxes\n\n    # Initialize variable for basic object counting example\n    object_count = 0\n\n    # Go through each detection and get bbox coords, confidence, and class\n    for i in range(len(detections)):\n\n        # Get bounding box coordinates\n        # Ultralytics returns results in Tensor format, which have to be converted to a regular Python array\n        xyxy_tensor = detections&#91;i&#93;.xyxy.cpu() # Detections in Tensor format in CPU memory\n        xyxy = xyxy_tensor.numpy().squeeze() # Convert tensors to Numpy array\n        xmin, ymin, xmax, ymax = xyxy.astype(int) # Extract individual coordinates and convert to int\n\n        # Get bounding box class ID and name\n        classidx = int(detections&#91;i&#93;.cls.item())\n        classname = labels&#91;classidx&#93;\n\n        # Get bounding box confidence\n        conf = detections&#91;i&#93;.conf.item()\n\n        # Draw box if confidence threshold is high enough\n        if conf > 0.5:\n\n            color = bbox_colors&#91;classidx % 10&#93;\n            cv2.rectangle(frame, (xmin,ymin), (xmax,ymax), color, 2)\n\n            label = f'{classname}: {int(conf*100)}%'\n            labelSize, baseLine = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 0.5, 1) # Get font size\n            label_ymin = max(ymin, labelSize&#91;1&#93; + 10) # Make sure not to draw label too close to top of window\n            cv2.rectangle(frame, (xmin, label_ymin-labelSize&#91;1&#93;-10), (xmin+labelSize&#91;0&#93;, label_ymin+baseLine-10), color, cv2.FILLED) # Draw white box to put label text in\n            cv2.putText(frame, label, (xmin, label_ymin-7), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 1) # Draw label text\n\n            # Basic example: count the number of objects in the image\n            object_count = object_count + 1\n\n    # Calculate and draw framerate (if using video, USB, or Picamera source)\n    cv2.putText(frame, f'FPS: {avg_frame_rate:0.2f}', (10,20), cv2.FONT_HERSHEY_SIMPLEX, .7, (0,255,255), 2) # Draw framerate\n    \n    # Display detection results\n    cv2.putText(frame, f'Number of objects: {object_count}', (10,40), cv2.FONT_HERSHEY_SIMPLEX, .7, (0,255,255), 2) # Draw total number of detected objects\n    cv2.imshow('YOLO detection results',frame) # Display image\n\n    # If inferencing on individual images, wait for user keypress before moving to next image. Otherwise, wait 5ms before moving to next frame.\n    key = cv2.waitKey(5)\n    \n    if key == ord('q') or key == ord('Q'): # Press 'q' to quit\n        break\n    elif key == ord('s') or key == ord('S'): # Press 's' to pause inference\n        cv2.waitKey()\n    elif key == ord('p') or key == ord('P'): # Press 'p' to save a picture of results on this frame\n        cv2.imwrite('capture.png',frame)\n    \n    # Calculate FPS for this frame\n    t_stop = time.perf_counter()\n    frame_rate_calc = float(1\/(t_stop - t_start))\n\n    # Append FPS result to frame_rate_buffer (for finding average FPS over multiple frames)\n    if len(frame_rate_buffer) >= fps_avg_len:\n        temp = frame_rate_buffer.pop(0)\n        frame_rate_buffer.append(frame_rate_calc)\n    else:\n        frame_rate_buffer.append(frame_rate_calc)\n\n    # Calculate average FPS for past frames\n    avg_frame_rate = np.mean(frame_rate_buffer)\n\n# Clean up\nprint(f'Average pipeline FPS: {avg_frame_rate:.2f}')\ncap.release()\ncv2.destroyAllWindows()<\/textarea><\/pre><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> time<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> numpy <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> np<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">from<\/span><span style=\"color: #D8DEE9FF\"> ultralytics <\/span><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> YOLO<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\"># Load the model into memory and get labemap<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">model <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">YOLO<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">yolo11l.pt<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">task<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">detect<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">labels <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> model<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">names<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\"># Load image source<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">cap <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">VideoCapture<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\"># Set bounding box colors (using the Tableu 10 color scheme)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">bbox_colors <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">&#91;(<\/span><span style=\"color: #B48EAD\">164<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">120<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">87<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">68<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">148<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">228<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">93<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">97<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">209<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">178<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">182<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">133<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">88<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">159<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">106<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">              <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">96<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">202<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">231<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">159<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">124<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">168<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">169<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">162<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">241<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">98<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">118<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">150<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">172<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">176<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">184<\/span><span style=\"color: #ECEFF4\">)&#93;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\"># Initialize control and status variables<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">avg_frame_rate <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">frame_rate_buffer <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[]<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">fps_avg_len <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">200<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\"># Begin inference loop<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">while<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">True<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    t_start <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> time<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">perf_counter<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Load frame from image source<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    ret<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> frame <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> cap<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">read<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame <\/span><span style=\"color: #81A1C1\">is<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">None<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">or<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">not<\/span><span style=\"color: #D8DEE9FF\"> ret<\/span><span style=\"color: #ECEFF4\">):<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">Unable to read frames from the camera. This indicates the camera is disconnected or not working. Exiting program.<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">break<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Run inference on frame<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    results <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">model<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">verbose<\/span><span style=\"color: #81A1C1\">=False<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Extract results<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    detections <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> results<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">&#93;.<\/span><span style=\"color: #D8DEE9FF\">boxes<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Initialize variable for basic object counting example<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    object_count <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Go through each detection and get bbox coords, confidence, and class<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> i <\/span><span style=\"color: #81A1C1\">in<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">range<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #88C0D0\">len<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">detections<\/span><span style=\"color: #ECEFF4\">)):<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #616E88\"># Get bounding box coordinates<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #616E88\"># Ultralytics returns results in Tensor format, which have to be converted to a regular Python array<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        xyxy_tensor <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> detections<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #D8DEE9FF\">i<\/span><span style=\"color: #ECEFF4\">&#93;.<\/span><span style=\"color: #D8DEE9FF\">xyxy<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">cpu<\/span><span style=\"color: #ECEFF4\">()<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Detections in Tensor format in CPU memory<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        xyxy <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> xyxy_tensor<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">numpy<\/span><span style=\"color: #ECEFF4\">().<\/span><span style=\"color: #88C0D0\">squeeze<\/span><span style=\"color: #ECEFF4\">()<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Convert tensors to Numpy array<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        xmin<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> ymin<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> xmax<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> ymax <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> xyxy<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">astype<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #88C0D0\">int<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Extract individual coordinates and convert to int<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #616E88\"># Get bounding box class ID and name<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        classidx <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">int<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">detections<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #D8DEE9FF\">i<\/span><span style=\"color: #ECEFF4\">&#93;.<\/span><span style=\"color: #D8DEE9FF\">cls<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">item<\/span><span style=\"color: #ECEFF4\">())<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        classname <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> labels<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #D8DEE9FF\">classidx<\/span><span style=\"color: #ECEFF4\">&#93;<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #616E88\"># Get bounding box confidence<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        conf <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> detections<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #D8DEE9FF\">i<\/span><span style=\"color: #ECEFF4\">&#93;.<\/span><span style=\"color: #D8DEE9FF\">conf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">item<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #616E88\"># Draw box if confidence threshold is high enough<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> conf <\/span><span style=\"color: #81A1C1\">&gt;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0.5<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            color <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> bbox_colors<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #D8DEE9FF\">classidx <\/span><span style=\"color: #81A1C1\">%<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">10<\/span><span style=\"color: #ECEFF4\">&#93;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">rectangle<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">xmin<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\">ymin<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">xmax<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\">ymax<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> color<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            label <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">f<\/span><span style=\"color: #A3BE8C\">&#39;<\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #D8DEE9FF\">classname<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\">: <\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #88C0D0\">int<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">conf<\/span><span style=\"color: #81A1C1\">*<\/span><span style=\"color: #B48EAD\">100<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\">%&#39;<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            labelSize<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> baseLine <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">getTextSize<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">label<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">FONT_HERSHEY_SIMPLEX<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0.5<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Get font size<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            label_ymin <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">max<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">ymin<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> labelSize<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">&#93;<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">10<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Make sure not to draw label too close to top of window<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">rectangle<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">xmin<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> label_ymin<\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #D8DEE9FF\">labelSize<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">&#93;<\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">10<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">xmin<\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\">labelSize<\/span><span style=\"color: #ECEFF4\">&#91;<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">&#93;,<\/span><span style=\"color: #D8DEE9FF\"> label_ymin<\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\">baseLine<\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">10<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> color<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">FILLED<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Draw white box to put label text in<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">putText<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> label<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">xmin<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> label_ymin<\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #B48EAD\">7<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">FONT_HERSHEY_SIMPLEX<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0.5<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Draw label text<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            <\/span><span style=\"color: #616E88\"># Basic example: count the number of objects in the image<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">            object_count <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> object_count <\/span><span style=\"color: #81A1C1\">+<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Calculate and draw framerate (if using video, USB, or Picamera source)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">putText<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">f<\/span><span style=\"color: #A3BE8C\">&#39;FPS: <\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #D8DEE9FF\">avg_frame_rate<\/span><span style=\"color: #81A1C1\">:0.2f<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">10<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">20<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">FONT_HERSHEY_SIMPLEX<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">.7<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">255<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">255<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Draw framerate<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Display detection results<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">putText<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">f<\/span><span style=\"color: #A3BE8C\">&#39;Number of objects: <\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #D8DEE9FF\">object_count<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">10<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">40<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">FONT_HERSHEY_SIMPLEX<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">.7<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">255<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">255<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Draw total number of detected objects<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">imshow<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">YOLO detection results<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\">frame<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Display image<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># If inferencing on individual images, wait for user keypress before moving to next image. Otherwise, wait 5ms before moving to next frame.<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    key <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">waitKey<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> key <\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">ord<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">q<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">or<\/span><span style=\"color: #D8DEE9FF\"> key <\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">ord<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">Q<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">):<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Press &#39;q&#39; to quit<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        <\/span><span style=\"color: #81A1C1\">break<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">elif<\/span><span style=\"color: #D8DEE9FF\"> key <\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">ord<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">s<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">or<\/span><span style=\"color: #D8DEE9FF\"> key <\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">ord<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">S<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">):<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Press &#39;s&#39; to pause inference<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">waitKey<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">elif<\/span><span style=\"color: #D8DEE9FF\"> key <\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">ord<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">p<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">or<\/span><span style=\"color: #D8DEE9FF\"> key <\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">ord<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">P<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">):<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #616E88\"># Press &#39;p&#39; to save a picture of results on this frame<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">imwrite<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">capture.png<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\">frame<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Calculate FPS for this frame<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    t_stop <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> time<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">perf_counter<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    frame_rate_calc <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">float<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #81A1C1\">\/<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">t_stop <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #D8DEE9FF\"> t_start<\/span><span style=\"color: #ECEFF4\">))<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Append FPS result to frame_rate_buffer (for finding average FPS over multiple frames)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">if<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">len<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame_rate_buffer<\/span><span style=\"color: #ECEFF4\">)<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">&gt;=<\/span><span style=\"color: #D8DEE9FF\"> fps_avg_len<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        temp <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> frame_rate_buffer<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">pop<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        frame_rate_buffer<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">append<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame_rate_calc<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #81A1C1\">else<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">        frame_rate_buffer<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">append<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame_rate_calc<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #616E88\"># Calculate average FPS for past frames<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    avg_frame_rate <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> np<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">mean<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">frame_rate_buffer<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><\/span>\n<span class=\"line\"><span style=\"color: #616E88\"># Clean up<\/span><\/span>\n<span class=\"line\"><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #81A1C1\">f<\/span><span style=\"color: #A3BE8C\">&#39;Average pipeline FPS: <\/span><span style=\"color: #EBCB8B\">{<\/span><span style=\"color: #D8DEE9FF\">avg_frame_rate<\/span><span style=\"color: #81A1C1\">:.2f<\/span><span style=\"color: #EBCB8B\">}<\/span><span style=\"color: #A3BE8C\">&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">cap<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">release<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">cv2<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">destroyAllWindows<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>Model\u3092yolo11n.pt\u306b\u3057\u3066Raspberry Pi 4\u3067\u3082\u52d5\u304b\u3057\u305f\u304c\u30010.9 FPS\u3057\u304b\u51fa\u306a\u304b\u3063\u305f\u3002Raspberry Pi 5\u3084<a href=\"https:\/\/www.raspberrypi.com\/products\/ai-hat\/\">Raspberry Pi AI HAT+<\/a>\u304c\u6b32\u3057\u304f\u306a\u308b\u3002<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u76ee\u7684 \u30ab\u30e1\u30e9\u6620\u50cf\u306b\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u7269\u4f53\u540d\u3092\u30e9\u30d9\u30eb\u4ed8\u3051\u3059\u308b\u3002 \u74b0\u5883 Winodows 11(Ubuntu\u3067\u3082\u52d5\u3044\u305f\u3002Ubuntu on Raspberry Pi 4\u3067\u3082\u52d5\u3044\u305f\u3002)Python 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