{"id":30869,"date":"2025-05-05T19:33:10","date_gmt":"2025-05-05T11:33:10","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30869"},"modified":"2025-05-05T19:33:10","modified_gmt":"2025-05-05T11:33:10","slug":"trackers","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/trackers\/","title":{"rendered":"Trackers\uff1a\u7528\u4e8e\u89c6\u9891\u5bf9\u8c61\u8ddf\u8e2a\u7684\u5f00\u6e90\u5de5\u5177\u5e93"},"content":{"rendered":"<p>Trackers \u662f\u4e00\u4e2a\u5f00\u6e90\u7684 Python \u5de5\u5177\u5e93\uff0c\u4e13\u6ce8\u4e8e\u89c6\u9891\u4e2d\u7684\u591a\u5bf9\u8c61\u8ddf\u8e2a\u3002\u5b83\u96c6\u6210\u4e86\u591a\u79cd\u9886\u5148\u7684\u8ddf\u8e2a\u7b97\u6cd5\uff0c\u5982 SORT \u548c DeepSORT\uff0c\u5141\u8bb8\u7528\u6237\u7ed3\u5408\u4e0d\u540c\u7684\u5bf9\u8c61\u68c0\u6d4b\u6a21\u578b\uff08\u5982 YOLO\u3001RT-DETR\uff09\u8fdb\u884c\u7075\u6d3b\u7684\u89c6\u9891\u5206\u6790\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u4ee3\u7801\u5b9e\u73b0\u89c6\u9891\u5e27\u7684\u68c0\u6d4b\u3001\u8ddf\u8e2a\u548c\u6807\u6ce8\uff0c\u9002\u7528\u4e8e\u4ea4\u901a\u76d1\u63a7\u3001\u5de5\u4e1a\u81ea\u52a8\u5316\u7b49\u573a\u666f\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-30870\" title=\"Trackers\uff1a\u7528\u4e8e\u89c6\u9891\u5bf9\u8c61\u8ddf\u8e2a\u7684\u5f00\u6e90\u5de5\u5177\u5e93-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/1d06c20cd45dde6.png\" alt=\"Trackers\uff1a\u7528\u4e8e\u89c6\u9891\u5bf9\u8c61\u8ddf\u8e2a\u7684\u5f00\u6e90\u5de5\u5177\u5e93-1\" width=\"1032\" height=\"579\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/1d06c20cd45dde6.png 1032w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/1d06c20cd45dde6-768x431.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/1d06c20cd45dde6-18x10.png 18w\" sizes=\"auto, (max-width: 1032px) 100vw, 1032px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u591a\u79cd\u8ddf\u8e2a\u7b97\u6cd5\uff0c\u5305\u62ec SORT \u548c DeepSORT\uff0c\u672a\u6765\u8ba1\u5212\u589e\u52a0\u66f4\u591a\u7b97\u6cd5\u3002<\/li>\n<li>\u517c\u5bb9\u4e3b\u6d41\u5bf9\u8c61\u68c0\u6d4b\u6a21\u578b\uff0c\u5982 YOLO\u3001RT-DETR \u548c RFDETR\u3002<\/li>\n<li>\u63d0\u4f9b\u89c6\u9891\u5e27\u6807\u6ce8\u529f\u80fd\uff0c\u652f\u6301\u663e\u793a\u8ddf\u8e2a ID \u548c\u8fb9\u754c\u6846\u3002<\/li>\n<li>\u6a21\u5757\u5316\u8bbe\u8ba1\uff0c\u5141\u8bb8\u7528\u6237\u81ea\u7531\u7ec4\u5408\u68c0\u6d4b\u5668\u548c\u8ddf\u8e2a\u5668\u3002<\/li>\n<li>\u652f\u6301\u4ece\u89c6\u9891\u6587\u4ef6\u6216\u5b9e\u65f6\u89c6\u9891\u6d41\u4e2d\u5904\u7406\u5e27\u3002<\/li>\n<li>\u5f00\u6e90\u514d\u8d39\uff0c\u57fa\u4e8e Apache 2.0 \u8bb8\u53ef\u8bc1\uff0c\u4ee3\u7801\u516c\u5f00\u900f\u660e\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u8981\u4f7f\u7528 Trackers\uff0c\u9700\u8981\u5728 Python \u73af\u5883\u4e2d\u5b89\u88c5\u76f8\u5173\u4f9d\u8d56\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u51c6\u5907\u73af\u5883<\/strong><br \/>\n\u786e\u4fdd\u7cfb\u7edf\u5df2\u5b89\u88c5 Python 3.6 \u6216\u4ee5\u4e0a\u7248\u672c\u3002\u63a8\u8350\u4f7f\u7528\u865a\u62df\u73af\u5883\u4ee5\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\uff1a<\/p>\n<pre><code>python -m venv venv\r\nsource venv\/bin\/activate  # Windows \u7528\u6237\u4f7f\u7528 venv\\Scripts\\activate\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5 Trackers \u5e93<\/strong><br \/>\n\u53ef\u4ee5\u4ece GitHub \u5b89\u88c5\u6700\u65b0\u7248\u672c\uff1a<\/p>\n<pre><code>pip install git+https:\/\/github.com\/roboflow\/trackers.git\r\n<\/code><\/pre>\n<p>\u6216\u8005\u5b89\u88c5\u5df2\u53d1\u5e03\u7684\u7a33\u5b9a\u7248\u672c\uff1a<\/p>\n<pre><code>pip install trackers\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56\u5e93<\/strong><br \/>\nTrackers \u4f9d\u8d56\u00a0<code>supervision<\/code>\u3001<code>torch<\/code>\u00a0\u548c\u5176\u4ed6\u5e93\u3002\u6839\u636e\u4f7f\u7528\u7684\u68c0\u6d4b\u6a21\u578b\uff0c\u53ef\u80fd\u9700\u8981\u989d\u5916\u5b89\u88c5\uff1a<\/p>\n<ul>\n<li>\u5bf9\u4e8e YOLO \u6a21\u578b\uff1a\n<pre><code>pip install ultralytics\r\n<\/code><\/pre>\n<\/li>\n<li>\u5bf9\u4e8e RT-DETR \u6a21\u578b\uff1a\n<pre><code>pip install transformers\r\n<\/code><\/pre>\n<\/li>\n<li>\u786e\u4fdd\u5b89\u88c5\u00a0<code>opencv-python<\/code>\u00a0\u7528\u4e8e\u89c6\u9891\u5904\u7406\uff1a\n<pre><code>pip install opencv-python\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\u68c0\u67e5\u662f\u5426\u5b89\u88c5\u6210\u529f\uff1a<\/p>\n<pre><code>from trackers import SORTTracker\r\nprint(SORTTracker)\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>Trackers \u7684\u6838\u5fc3\u529f\u80fd\u662f\u901a\u8fc7\u5bf9\u8c61\u68c0\u6d4b\u548c\u8ddf\u8e2a\u7b97\u6cd5\u5904\u7406\u89c6\u9891\u5e27\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528 SORTTracker \u7ed3\u5408 YOLO \u6a21\u578b\u7684\u8be6\u7ec6\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4>\u793a\u4f8b\uff1a\u4f7f\u7528 YOLO \u548c SORTTracker \u8fdb\u884c\u89c6\u9891\u5bf9\u8c61\u8ddf\u8e2a<\/h4>\n<ol>\n<li><strong>\u51c6\u5907\u89c6\u9891\u6587\u4ef6<\/strong><br \/>\n\u786e\u4fdd\u6709\u4e00\u4e2a\u8f93\u5165\u89c6\u9891\u6587\u4ef6\uff0c\u4f8b\u5982\u00a0<code>input.mp4<\/code>\u3002\u5c06\u5176\u653e\u7f6e\u5728\u9879\u76ee\u76ee\u5f55\u4e0b\u3002<\/li>\n<li><strong>\u7f16\u5199\u4ee3\u7801<\/strong><br \/>\n\u4ee5\u4e0b\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u7528\u4e8e\u52a0\u8f7d YOLO \u6a21\u578b\uff0c\u8ddf\u8e2a\u89c6\u9891\u4e2d\u7684\u5bf9\u8c61\uff0c\u5e76\u5728\u8f93\u51fa\u89c6\u9891\u4e2d\u6807\u6ce8\u8ddf\u8e2a ID\uff1a<\/p>\n<pre><code>import supervision as sv\r\nfrom trackers import SORTTracker\r\nfrom ultralytics import YOLO\r\n# \u521d\u59cb\u5316\u8ddf\u8e2a\u5668\u548c\u6a21\u578b\r\ntracker = SORTTracker()\r\nmodel = YOLO(\"yolo11m.pt\")\r\nannotator = sv.LabelAnnotator(text_position=sv.Position.CENTER)\r\n# \u5b9a\u4e49\u56de\u8c03\u51fd\u6570\u5904\u7406\u6bcf\u5e27\r\ndef callback(frame, _):\r\nresult = model(frame)[0]\r\ndetections = sv.Detections.from_ultralytics(result)\r\ndetections = tracker.update(detections)\r\nreturn annotator.annotate(frame, detections, labels=detections.tracker_id)\r\n# \u5904\u7406\u89c6\u9891\r\nsv.process_video(\r\nsource_path=\"input.mp4\",\r\ntarget_path=\"output.mp4\",\r\ncallback=callback\r\n)\r\n<\/code><\/pre>\n<p><strong>\u4ee3\u7801\u8bf4\u660e<\/strong>\uff1a<\/p>\n<ul>\n<li><code>YOLO(\"yolo11m.pt\")<\/code>\u00a0\u52a0\u8f7d\u9884\u8bad\u7ec3\u7684 YOLO11 \u6a21\u578b\u3002<\/li>\n<li><code>SORTTracker()<\/code>\u00a0\u521d\u59cb\u5316 SORT \u8ddf\u8e2a\u5668\u3002<\/li>\n<li><code>sv.Detections.from_ultralytics<\/code>\u00a0\u5c06 YOLO \u7684\u68c0\u6d4b\u7ed3\u679c\u8f6c\u6362\u4e3a Supervision \u683c\u5f0f\u3002<\/li>\n<li><code>tracker.update(detections)<\/code>\u00a0\u66f4\u65b0\u8ddf\u8e2a\u72b6\u6001\uff0c\u5206\u914d\u8ddf\u8e2a ID\u3002<\/li>\n<li><code>annotator.annotate<\/code>\u00a0\u5728\u5e27\u4e0a\u7ed8\u5236\u8fb9\u754c\u6846\u548c ID\u3002<\/li>\n<li><code>sv.process_video<\/code>\u00a0\u9010\u5e27\u5904\u7406\u89c6\u9891\u5e76\u4fdd\u5b58\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8fd0\u884c\u4ee3\u7801<\/strong><br \/>\n\u5c06\u4ee3\u7801\u4fdd\u5b58\u4e3a\u00a0<code>track.py<\/code>\uff0c\u7136\u540e\u8fd0\u884c\uff1a<\/p>\n<pre><code>python track.py\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u89c6\u9891\u00a0<code>output.mp4<\/code>\u00a0\u5c06\u5305\u542b\u5e26\u6709\u8ddf\u8e2a ID \u7684\u6807\u6ce8\u3002<\/li>\n<\/ol>\n<h4>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h4>\n<ul>\n<li><strong>\u5207\u6362\u68c0\u6d4b\u6a21\u578b<\/strong><br \/>\nTrackers \u652f\u6301\u591a\u79cd\u68c0\u6d4b\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u4f7f\u7528 RT-DETR \u6a21\u578b\uff1a<\/p>\n<pre><code>import torch\r\nfrom transformers import RTDetrV2ForObjectDetection, RTDetrImageProcessor\r\ntracker = SORTTracker()\r\nprocessor = RTDetrImageProcessor.from_pretrained(\"PekingU\/rtdetr_v2_r18vd\")\r\nmodel = RTDetrV2ForObjectDetection.from_pretrained(\"PekingU\/rtdetr_v2_r18vd\")\r\nannotator = sv.LabelAnnotator()\r\ndef callback(frame, _):\r\ninputs = processor(images=frame, return_tensors=\"pt\")\r\nwith torch.no_grad():\r\noutputs = model(**inputs)\r\nh, w, _ = frame.shape\r\nresults = processor.post_process_object_detection(\r\noutputs, target_sizes=torch.tensor([(h, w)]), threshold=0.5\r\n)[0]\r\ndetections = sv.Detections.from_transformers(results, id2label=model.config.id2label)\r\ndetections = tracker.update(detections)\r\nreturn annotator.annotate(frame, detections, labels=detections.tracker_id)\r\nsv.process_video(source_path=\"input.mp4\", target_path=\"output.mp4\", callback=callback)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u81ea\u5b9a\u4e49\u6807\u6ce8<\/strong><br \/>\n\u53ef\u4ee5\u8c03\u6574\u6807\u6ce8\u6837\u5f0f\uff0c\u4f8b\u5982\u66f4\u6539\u6807\u7b7e\u4f4d\u7f6e\u6216\u6dfb\u52a0\u8fb9\u754c\u6846\uff1a<\/p>\n<pre><code>annotator = sv.LabelAnnotator(text_position=sv.Position.TOP_LEFT)\r\nbox_annotator = sv.BoundingBoxAnnotator()\r\ndef callback(frame, _):\r\nresult = model(frame)[0]\r\ndetections = sv.Detections.from_ultralytics(result)\r\ndetections = tracker.update(detections)\r\nframe = box_annotator.annotate(frame, detections)\r\nreturn annotator.annotate(frame, detections, labels=detections.tracker_id)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5904\u7406\u5b9e\u65f6\u89c6\u9891\u6d41<\/strong><br \/>\n\u5982\u679c\u9700\u8981\u5904\u7406\u6444\u50cf\u5934\u8f93\u5165\uff0c\u53ef\u4ee5\u4fee\u6539\u4ee3\u7801\uff1a<\/p>\n<pre><code>import cv2\r\ncap = cv2.VideoCapture(0)  # \u6253\u5f00\u9ed8\u8ba4\u6444\u50cf\u5934\r\nwhile cap.isOpened():\r\nret, frame = cap.read()\r\nif not ret:\r\nbreak\r\nannotated_frame = callback(frame, None)\r\ncv2.imshow(\"Tracking\", annotated_frame)\r\nif cv2.waitKey(1) &amp; 0xFF == ord(\"q\"):\r\nbreak\r\ncap.release()\r\ncv2.destroyAllWindows()\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u6027\u80fd\u4f18\u5316<\/strong>\uff1a\u5904\u7406\u957f\u89c6\u9891\u53ef\u80fd\u5bfc\u81f4\u5185\u5b58\u5360\u7528\u9ad8\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\u9650\u5236\u7f13\u51b2\u533a\u5927\u5c0f\uff1a\n<pre><code>export VIDEO_SOURCE_BUFFER_SIZE=2\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6a21\u578b\u9009\u62e9<\/strong>\uff1a\u786e\u4fdd\u68c0\u6d4b\u6a21\u578b\u4e0e\u8ddf\u8e2a\u5668\u517c\u5bb9\uff0cYOLO \u548c RT-DETR \u662f\u63a8\u8350\u9009\u9879\u3002<\/li>\n<li><strong>\u8c03\u8bd5<\/strong>\uff1a\u5982\u679c\u8ddf\u8e2a ID \u9891\u7e41\u5207\u6362\uff0c\u5c1d\u8bd5\u8c03\u6574\u68c0\u6d4b\u6a21\u578b\u7684\u7f6e\u4fe1\u5ea6\u9608\u503c\u6216\u8ddf\u8e2a\u5668\u7684\u53c2\u6570\uff0c\u5982\u00a0<code>track_buffer<\/code>\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u4ea4\u901a\u76d1\u63a7<\/strong><br \/>\nTrackers \u53ef\u7528\u4e8e\u5206\u6790\u9053\u8def\u4e0a\u7684\u8f66\u8f86\u548c\u884c\u4eba\u8f68\u8ff9\u3002\u4f8b\u5982\uff0c\u5728\u57ce\u5e02\u4ea4\u901a\u6444\u50cf\u5934\u4e2d\uff0c\u7ed3\u5408 YOLO \u68c0\u6d4b\u8f66\u8f86\uff0cSORTTracker \u8ddf\u8e2a\u6bcf\u8f86\u8f66\u7684\u8def\u5f84\uff0c\u751f\u6210\u6d41\u91cf\u7edf\u8ba1\u6216\u8fdd\u7ae0\u8bb0\u5f55\u3002<\/li>\n<li><strong>\u5de5\u4e1a\u81ea\u52a8\u5316<\/strong><br \/>\n\u5728\u751f\u4ea7\u7ebf\u4e0a\uff0cTrackers \u53ef\u8ddf\u8e2a\u79fb\u52a8\u7684\u7269\u4f53\uff0c\u5982\u4f20\u9001\u5e26\u4e0a\u7684\u4ea7\u54c1\u3002\u7ed3\u5408\u68c0\u6d4b\u6a21\u578b\u8bc6\u522b\u4ea7\u54c1\u7c7b\u578b\uff0c\u8ddf\u8e2a\u5668\u8bb0\u5f55\u6bcf\u4e2a\u4ea7\u54c1\u7684\u79fb\u52a8\u8def\u5f84\uff0c\u7528\u4e8e\u8d28\u91cf\u63a7\u5236\u6216\u5e93\u5b58\u7ba1\u7406\u3002<\/li>\n<li><strong>\u8fd0\u52a8\u5206\u6790<\/strong><br \/>\n\u5728\u4f53\u80b2\u89c6\u9891\u4e2d\uff0cTrackers \u53ef\u8ddf\u8e2a\u8fd0\u52a8\u5458\u6216\u7403\u7684\u8fd0\u52a8\u8f68\u8ff9\u3002\u4f8b\u5982\uff0c\u5206\u6790\u8db3\u7403\u6bd4\u8d5b\u4e2d\u7403\u5458\u7684\u8dd1\u52a8\u8def\u5f84\uff0c\u751f\u6210\u70ed\u529b\u56fe\u6216\u7edf\u8ba1\u6570\u636e\u3002<\/li>\n<li><strong>\u5b89\u5168\u76d1\u63a7<\/strong><br \/>\n\u5728\u5b89\u9632\u7cfb\u7edf\u4e2d\uff0cTrackers 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