{"id":52974,"date":"2025-08-11T22:19:24","date_gmt":"2025-08-11T14:19:24","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/52974.html"},"modified":"2025-08-11T22:19:24","modified_gmt":"2025-08-11T14:19:24","slug":"yolov13%e4%b8%80%e6%96%87%e5%bc%84%e6%87%82-yolov13%e7%bd%91%e7%bb%9c%e7%bb%93%e6%9e%84%e8%a7%a3%e8%af%bb-%e3%80%81yolov13-yaml%e9%85%8d%e7%bd%ae%e6%96%87%e4%bb%b6%e8%af%a6%e7%bb%86%e8%a7%a3","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/52974.html","title":{"rendered":"YOLOv13\u4e00\u6587\u5f04\u61c2 | YOLOv13\u7f51\u7edc\u7ed3\u6784\u89e3\u8bfb \u3001yolov13.yaml\u914d\u7f6e\u6587\u4ef6\u8be6\u7ec6\u89e3\u8bfb\u4e0e\u8bf4\u660e\u3001YOLO\u865a\u62df\u73af\u5883\u5b89\u88c5\u3001\u6a21\u578b\u8bad\u7ec3\u3001\u9a8c\u8bc1\u3001\u63a8\u7406\u53c2\u6570\u8be6\u7ec6\u89e3\u6790 | 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id=\"%E4%BA%8C%E3%80%81yolov8.yaml%E9%85%8D%E7%BD%AE%E6%96%87%E4%BB%B6%E8%BF%9B%E8%A1%8C%E8%AF%A6%E7%BB%86%E8%AE%B2%E8%A7%A3-toc\" style=\"margin-left:0px\">\u4e09\u3001yolov13.yaml\u914d\u7f6e\u6587\u4ef6\u8fdb\u884c\u8be6\u7ec6\u8bb2\u89e3<\/p>\n<p id=\"2.1%C2%A0%E5%8F%82%E6%95%B0%E9%83%A8%E5%88%86%E3%80%90Parameters%E3%80%91-toc\" style=\"margin-left:40px\">3.1\u00a0\u53c2\u6570\u90e8\u5206\u3010Parameters\u3011<\/p>\n<p id=\"2.2%20%E4%B8%BB%E5%B9%B2%E9%83%A8%E5%88%86%E3%80%90backbone%E3%80%91-toc\" style=\"margin-left:40px\">3.2 \u4e3b\u5e72\u90e8\u5206\u3010backbone\u3011<\/p>\n<p id=\"%C2%A02.3%20%E5%A4%B4%E9%83%A8%E3%80%90head%E3%80%91-toc\" style=\"margin-left:40px\">\u00a03.3 \u5934\u90e8\u3010head\u3011<\/p>\n<p id=\"%E4%B8%89%E3%80%81YOLOv13%E8%99%9A%E6%8B%9F%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE-toc\" style=\"margin-left:0px\">\u56db\u3001YOLOv13\u865a\u62df\u73af\u5883\u914d\u7f6e<\/p>\n<p id=\"%E5%88%9B%E5%81%A5YOLOv13%E7%9A%84%E8%99%9A%E6%8B%9F%E7%8E%AF%E5%A2%83%EF%BC%9A-toc\" style=\"margin-left:40px\">\u521b\u5065YOLOv13\u7684\u865a\u62df\u73af\u5883&#xff1a;<\/p>\n<p id=\"%E4%B8%89%E3%80%81YOLOv8%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83%E5%8F%82%E6%95%B0%E8%AF%A6%E7%BB%86%E8%A7%A3%E6%9E%90%C2%A0-toc\" style=\"margin-left:0px\">\u4e94\u3001YOLOv13\u6a21\u578b\u8bad\u7ec3\u53c2\u6570\u8be6\u7ec6\u89e3\u6790\u00a0<\/p>\n<p id=\"3.1%20YOLOv8%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83%E4%BB%A3%E7%A0%81-toc\" style=\"margin-left:40px\">5.1 YOLOv13\u6a21\u578b\u8bad\u7ec3\u4ee3\u7801<\/p>\n<p id=\"3.2%20YOLOv13%E6%A8%A1%E5%9E%8B%E9%AA%8C%E8%AF%81%E4%BB%A3%E7%A0%81-toc\" style=\"margin-left:40px\">5.2 YOLOv13\u6a21\u578b\u9a8c\u8bc1\u4ee3\u7801<\/p>\n<p id=\"3.3%C2%A0YOLOv13%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E4%BB%A3%E7%A0%81-toc\" style=\"margin-left:40px\">5.3\u00a0YOLOv13\u6a21\u578b\u63a8\u7406\u4ee3\u7801<\/p>\n<p id=\"3.2%20%E6%A8%A1%E5%9E%8B%E5%A4%A7%E5%B0%8F%E9%80%89%E6%8B%A9-toc\" style=\"margin-left:40px\">5.4\u6a21\u578b\u5927\u5c0f\u9009\u62e9<\/p>\n<p id=\"3.3%C2%A0%E8%AE%AD%E7%BB%83%E5%8F%82%E6%95%B0%E8%AE%BE%E7%BD%AE-toc\" style=\"margin-left:40px\">5.5 \u8bad\u7ec3\u53c2\u6570\u8bbe\u7f6e<\/p>\n<p id=\"3.4%20%E8%AE%AD%E7%BB%83%E5%8F%82%E6%95%B0%E8%AF%B4%E6%98%8E-toc\" style=\"margin-left:40px\">5.6 \u8bad\u7ec3\u53c2\u6570\u8bf4\u660e<\/p>\n<p id=\"%E5%9B%9B%E3%80%81%E6%9C%AC%E6%96%87%E6%80%BB%E7%BB%93-toc\" style=\"margin-left:0px\">\u516d\u3001\u672c\u6587\u603b\u7ed3<\/p>\n<hr id=\"hr-toc\" \/>\n<h2 id=\"%E4%B8%80%E3%80%81YOLOv8%E7%AE%80%E4%BB%8B\" style=\"background-color:transparent\">\u4e00\u3001YOLOv13\u7b80\u4ecb<\/h2>\n<h3 id=\"YOLOv13%E7%9A%84%E8%83%8C%E6%99%AF%E5%92%8C%E6%8C%91%E6%88%98%EF%BC%9A\">YOLOv13\u7684\u80cc\u666f\u548c\u6311\u6218&#xff1a;<\/h3>\n<p>YOLOv13 \u662f YOLO \u7cfb\u5217\u7684\u6700\u65b0\u7248\u672c&#xff0c;\u65e8\u5728\u63d0\u5347\u5b9e\u65f6\u76ee\u6807\u68c0\u6d4b\u7684\u6027\u80fd&#xff0c;\u5c24\u5176\u5728\u590d\u6742\u573a\u666f\u4e2d\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b\u65f6\u8868\u73b0\u66f4\u52a0\u4f18\u8d8a\u3002YOLO \u7cfb\u5217\u6a21\u578b\u4e00\u8d2f\u4ee5\u5176\u5b9e\u65f6\u6027\u548c\u51c6\u786e\u6027\u800c\u8457\u79f0&#xff0c;\u4f46\u65e9\u671f\u7684 YOLO \u6a21\u578b&#xff08;\u5982 YOLOv11 \u548c YOLOv12&#xff09;\u5728\u5c40\u90e8\u4fe1\u606f\u805a\u5408\u548c\u5173\u8054\u5efa\u6a21\u4e0a\u5b58\u5728\u4e00\u5b9a\u7684\u9650\u5236\u3002\u8fd9\u4e9b\u6a21\u578b\u5728\u5904\u7406\u590d\u6742\u573a\u666f\u65f6\u7684\u8868\u73b0\u53d7\u5230\u5c40\u90e8\u7279\u5f81\u63d0\u53d6\u548c\u81ea\u6ce8\u610f\u529b\u673a\u5236\u8ba1\u7b97\u590d\u6742\u5ea6\u7684\u5f71\u54cd\u3002<\/p>\n<ul>\n<li>\n<p>\u5c40\u90e8\u5173\u8054\u9650\u5236&#xff1a;\u65e9\u671f\u7684 YOLO \u6a21\u578b&#xff08;\u5982 YOLOv11&#xff09;\u901a\u8fc7\u5377\u79ef\u5c42\u8fdb\u884c\u5c40\u90e8\u4fe1\u606f\u7684\u805a\u5408&#xff0c;\u4f46\u662f\u5377\u79ef\u5c42\u7684\u611f\u53d7\u91ce\u53d7\u9650&#xff0c;\u96be\u4ee5\u6355\u6349\u5230\u5168\u5c40\u7684\u8bed\u4e49\u5173\u8054\u3002<\/p>\n<\/li>\n<li>\n<p>\u81ea\u6ce8\u610f\u529b\u673a\u5236\u7684\u5c40\u9650\u6027&#xff1a;YOLOv12 \u5f15\u5165\u4e86\u57fa\u4e8e\u533a\u57df\u7684\u81ea\u6ce8\u610f\u529b\u673a\u5236&#xff0c;\u5c1d\u8bd5\u6269\u5c55\u611f\u53d7\u91ce&#xff0c;\u4f46\u8be5\u673a\u5236\u4ecd\u7136\u53d7\u9650\u4e8e\u8ba1\u7b97\u8d44\u6e90&#xff0c;\u65e0\u6cd5\u6709\u6548\u5efa\u6a21\u9ad8\u9636\u7684\u5168\u5c40\u5173\u8054\u3002<\/p>\n<\/li>\n<\/ul>\n<p>YOLOv13 \u7684\u76ee\u6807\u5c31\u662f\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898&#xff0c;\u901a\u8fc7\u65b0\u9896\u7684\u673a\u5236\u6765\u6355\u83b7\u66f4\u52a0\u590d\u6742\u7684\u5168\u5c40\u548c\u9ad8\u9636\u8bed\u4e49\u5173\u8054\u3002<\/p>\n<h3 id=\"YOLOv13%E7%9A%84%E6%A0%B8%E5%BF%83%E5%88%9B%E6%96%B0%EF%BC%9A\">YOLOv13\u7684\u6838\u5fc3\u521b\u65b0&#xff1a;<\/h3>\n<li>\n<p>Hypergraph-based Adaptive Correlation Enhancement (HyperACE)&#xff1a;<\/p>\n<ul>\n<li>\n<p>YOLOv13 \u901a\u8fc7\u5f15\u5165 HyperACE\u673a\u5236&#xff0c;\u4f7f\u7528 \u8d85\u56fe \u6765\u5efa\u6a21\u89c6\u89c9\u7279\u5f81\u7684\u9ad8\u9636\u5173\u8054\u3002\u4f20\u7edf\u7684 YOLO \u6a21\u578b\u4e3b\u8981\u4f9d\u8d56\u5c40\u90e8\u7279\u5f81\u7684\u5173\u8054\u5efa\u6a21&#xff0c;\u800c HyperACE \u80fd\u591f\u6355\u6349\u591a\u5bf9\u591a\u7684\u9ad8\u9636\u5168\u5c40\u5173\u8054&#xff0c;\u5c24\u5176\u5728\u590d\u6742\u573a\u666f\u4e2d\u8868\u73b0\u51fa\u8272\u3002<\/p>\n<\/li>\n<li>\n<p>\u4e0e\u4f20\u7edf\u7684\u56fe\u6216\u81ea\u6ce8\u610f\u529b\u673a\u5236\u76f8\u6bd4&#xff0c;HyperACE 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head&#xff09;\u4e4b\u95f4\u6d41\u52a8&#xff0c;\u4ece\u800c\u63d0\u9ad8\u68af\u5ea6\u4f20\u64ad\u548c\u68c0\u6d4b\u6027\u80fd\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u8f7b\u91cf\u5316\u8bbe\u8ba1&#xff1a;\u6df1\u5ea6\u53ef\u5206\u5377\u79ef&#xff08;DSConv&#xff09;&#xff1a;<\/p>\n<ul>\n<li>\n<p>YOLOv13 \u4f7f\u7528 \u6df1\u5ea6\u53ef\u5206\u5377\u79ef \u6765\u66ff\u4ee3\u4f20\u7edf\u7684\u5927\u5377\u79ef\u6838\u5377\u79ef\u64cd\u4f5c&#xff0c;\u663e\u8457\u51cf\u5c11\u4e86\u6a21\u578b\u7684\u53c2\u6570\u548c\u8ba1\u7b97\u590d\u6742\u5ea6\u3002\u8fd9\u6837\u8bbe\u8ba1\u4e0d\u4ec5\u4fdd\u6301\u4e86\u6a21\u578b\u7684\u68c0\u6d4b\u80fd\u529b&#xff0c;\u8fd8\u52a0\u5feb\u4e86\u63a8\u7406\u901f\u5ea6&#xff0c;\u4f7f\u5176\u5728\u6027\u80fd\u548c\u6548\u7387\u4e4b\u95f4\u53d6\u5f97\u4e86\u66f4\u597d\u7684\u5e73\u8861\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u9ad8\u6548\u7684\u8d85\u56fe\u8ba1\u7b97&#xff1a;<\/p>\n<ul>\n<li>\n<p>YOLOv13 \u7684\u8d85\u56fe\u8ba1\u7b97\u4e0e\u4f20\u7edf\u65b9\u6cd5\u4e0d\u540c&#xff0c;\u5b83\u80fd\u591f\u81ea\u9002\u5e94\u5730\u751f\u6210\u8d85\u8fb9&#xff0c;\u5e76\u52a8\u6001\u4f30\u7b97\u6bcf\u4e2a\u50cf\u7d20\u7684\u53c2\u4e0e\u5ea6\u3002\u8fd9\u4f7f\u5f97 YOLOv13 \u66f4\u52a0\u7075\u6d3b&#xff0c;\u80fd\u591f\u6839\u636e\u56fe\u50cf\u7684\u4e0d\u540c\u7279\u70b9\u548c\u9700\u6c42\u52a8\u6001\u8c03\u6574\u8ba1\u7b97\u65b9\u5f0f&#xff0c;\u63d0\u9ad8\u4e86\u6a21\u578b\u5bf9\u590d\u6742\u573a\u666f\u7684\u9002\u5e94\u80fd\u529b\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<h3 id=\"YOLOv13%E5%AE%9E%E9%AA%8C%E7%BB%93%E6%9E%9C%E4%B8%8E%E8%A1%A8%E7%8E%B0%EF%BC%9A\">YOLOv13\u5b9e\u9a8c\u7ed3\u679c\u4e0e\u8868\u73b0&#xff1a;<\/h3>\n<ul>\n<li>\n<p>\u5728\u5e7f\u6cdb\u7684\u5b9e\u9a8c\u4e2d&#xff0c;YOLOv13 \u76f8\u6bd4 YOLOv11 \u548c YOLOv12 \u63d0\u9ad8\u4e86 3.0% \u7684 mAP&#xff08;mean Average Precision&#xff09;&#xff0c;\u4e14\u6a21\u578b\u66f4\u52a0\u8f7b\u91cf&#xff0c;\u8ba1\u7b97\u590d\u6742\u5ea6\u66f4\u4f4e\u3002<\/p>\n<\/li>\n<li>\n<p>\u5728 MS COCO \u6570\u636e\u96c6\u4e0a&#xff0c;YOLOv13 \u63d0\u4f9b\u4e86\u66f4\u9ad8\u7684\u68c0\u6d4b\u51c6\u786e\u5ea6&#xff0c;\u5c24\u5176\u5728\u590d\u6742\u80cc\u666f\u548c\u591a\u4e2a\u7269\u4f53\u5171\u5b58\u7684\u573a\u666f\u4e0b&#xff0c;\u80fd\u591f\u663e\u8457\u63d0\u5347\u68c0\u6d4b\u6548\u679c\u3002<\/p>\n<\/li>\n<\/ul>\n<h3 id=\"YOLOv13%E7%9A%84%E4%BC%98%E5%8A%BF%EF%BC%9A\">YOLOv13\u7684\u4f18\u52bf&#xff1a;<\/h3>\n<ul>\n<li>\n<p>\u9ad8\u7cbe\u5ea6\u4e0e\u4f4e\u5ef6\u8fdf&#xff1a;\u901a\u8fc7\u5f15\u5165\u9ad8\u6548\u7684\u8d85\u56fe\u8ba1\u7b97\u548c\u4fe1\u606f\u5206\u914d\u673a\u5236&#xff0c;YOLOv13 \u5728\u590d\u6742\u573a\u666f\u4e2d\u53d6\u5f97\u4e86\u66f4\u9ad8\u7684\u68c0\u6d4b\u7cbe\u5ea6&#xff0c;\u540c\u65f6\u4fdd\u6301\u4e86\u4f4e\u5ef6\u8fdf\u548c\u9ad8\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n<\/li>\n<li>\n<p>\u8f7b\u91cf\u5316\u4e0e\u9ad8\u6548\u8ba1\u7b97&#xff1a;\u5f97\u76ca\u4e8e\u6df1\u5ea6\u53ef\u5206\u5377\u79ef\u7684\u4f7f\u7528&#xff0c;YOLOv13 \u663e\u8457\u964d\u4f4e\u4e86\u6a21\u578b\u7684\u53c2\u6570\u91cf\u548c\u8ba1\u7b97\u91cf&#xff0c;\u5728\u4fdd\u8bc1\u9ad8\u7cbe\u5ea6\u7684\u540c\u65f6&#xff0c;\u63d0\u5347\u4e86\u5904\u7406\u901f\u5ea6\u548c\u6a21\u578b\u7684\u5b9e\u65f6\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>\u5168\u5c40\u5173\u8054\u5efa\u6a21&#xff1a;\u901a\u8fc7HyperACE\u673a\u5236&#xff0c;YOLOv13 \u80fd\u591f\u6355\u6349\u66f4\u590d\u6742\u7684\u591a\u7269\u4f53\u95f4\u7684\u7a7a\u95f4\u548c\u8bed\u4e49\u5173\u8054&#xff0c;\u8fd9\u5bf9\u4e8e\u68c0\u6d4b\u591a\u4e2a\u7269\u4f53\u6216\u906e\u6321\u7269\u4f53\u5c24\u5176\u91cd\u8981\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecdYOLOv13\u7684\u7f51\u7edc\u7ed3\u6784&#xff0c;YOLOv13\u7f51\u7edc\u4e3b\u8981\u5305\u542bBackbone\u3001Neck\u548cHead 3\u4e2a\u90e8\u5206\u3002<\/p>\n<ul>\n<li>\n<p>Backbone\u91c7\u7528DSC3k2\u3001A2C2f\u548cDSConv\u6a21\u5757&#xff0c;\u63d0\u5347\u7279\u5f81\u63d0\u53d6\u80fd\u529b\u3002<\/p>\n<\/li>\n<\/ul>\n<ul>\n<li>\n<p>Neck\u9888\u90e8\u7f51\u7edc\u4f4d\u4e8e\u4e3b\u5e72\u7f51\u7edc\u548c\u5934\u90e8\u7f51\u7edc\u4e4b\u95f4(Neck\u4e2d\u7684\u6838\u5fc3\u6a21\u5757\u5305\u542b&#xff1a;DSC3k2\u3001HyperACE\u3001FullPAD_Tunnel\u3001nn.Upsample\u3001Concat)&#xff0c;\u5b83\u7684\u4f5c\u7528\u662f\u8fdb\u884c\u7279\u5f81\u878d\u5408\u548c\u589e\u5f3a\u3002<\/p>\n<\/li>\n<li>\n<p>Head\u5934\u90e8\u7f51\u7edc\u662f\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\u7684\u51b3\u7b56\u90e8\u5206&#xff0c;\u8d1f\u8d23\u4ea7\u751f\u6700\u7ec8\u7684\u68c0\u6d4b\u7ed3\u679c\u3002<\/p>\n<\/li>\n<\/ul>\n<h2 id=\"%E4%BA%8C%E3%80%81YOLOv13%E7%9A%84%E7%BD%91%E7%BB%9C%E7%BB%93%E6%9E%84%E4%B8%BB%E8%A6%81%E7%94%B1%E4%BB%A5%E4%B8%8B%E4%B8%89%E4%B8%AA%E5%A4%A7%E9%83%A8%E5%88%86%E7%BB%84%E6%88%90%C2%A0\" style=\"background-color:transparent\">\u4e8c\u3001YOLOv13\u7684\u7f51\u7edc\u7ed3\u6784\u5206\u6790\u00a0<\/h2>\n<p><span style=\"color:#fe2c24\">YOLOv13\u6574\u4f53\u7f51\u7edc\u7ed3\u6784\u56fe<\/span><\/p>\n<h4 id=\"1.Backbone%E9%83%A8%E5%88%86\" style=\"background-color:transparent\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"696\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141916-6899fbe4260b5.png\" width=\"1100\" \/><\/h4>\n<h4 id=\"YOLOv13%E6%95%B4%E4%BD%93%E7%BD%91%E7%BB%9C%E7%BB%93%E6%9E%84%E4%B8%BB%E8%A6%81%E7%94%B1%E4%BB%A5%E4%B8%8B%E4%B8%89%E4%B8%AA%E5%A4%A7%E9%83%A8%E5%88%86%E7%BB%84%E6%88%90%EF%BC%9A\" style=\"background-color:transparent\"><span style=\"color:#0d0016\">YOLOv13\u6574\u4f53\u7f51\u7edc\u7ed3\u6784\u4e3b\u8981\u7531\u4ee5\u4e0b\u4e09\u4e2a\u5927\u90e8\u5206\u7ec4\u6210&#xff1a;<\/span><\/h4>\n<h4 id=\"1.Backbone%E9%83%A8%E5%88%86\" style=\"background-color:transparent\">1.Backbone\u90e8\u5206<\/h4>\n<p>Backbone\u90e8\u5206\u8d1f\u8d23\u7279\u5f81\u63d0\u53d6&#xff0c;\u91c7\u7528\u4e86\u4e00\u7cfb\u5217\u5377\u79ef\u548c\u53cd\u5377\u79ef\u5c42&#xff0c;\u540c\u65f6\u4f7f\u7528\u4e86\u6b8b\u5dee\u8fde\u63a5\u548c\u74f6\u9888\u7ed3\u6784\u6765\u51cf\u5c0f\u7f51\u7edc\u7684\u5927\u5c0f\u5e76\u63d0\u9ad8\u6027\u80fd\u3002YOLOv13\u4f7f\u7528DSC3k2\u3001A2C2f\u548cDSConv\u5757\u6765\u5904\u7406\u4e3b\u5e72\u4e0d\u540c\u9636\u6bb5\u7684\u7279\u5f81\u63d0\u53d6\u3002\u4e3a\u4e86\u5728\u4fdd\u8bc1\u6027\u80fd\u7684\u524d\u63d0\u4e0b\u964d\u4f4e\u8ba1\u7b97\u5f00\u9500&#xff0c;YOLOv13 \u5f15\u5165\u4e86\u6df1\u5ea6\u53ef\u5206\u5377\u79ef&#xff08;DSConv&#xff09;&#xff0c;\u66ff\u4ee3\u4e86\u4f20\u7edf\u7684\u5927\u5377\u79ef\u6838\u5377\u79ef\u64cd\u4f5c\u3002<\/p>\n<h5 id=\"DSConv%E6%B7%B1%E5%BA%A6%E5%8F%AF%E5%88%86%E5%8D%B7%E7%A7%AF%E7%9A%84%E4%BC%98%E5%8A%BF%E5%A6%82%E4%B8%8B%EF%BC%9A\">DSConv\u6df1\u5ea6\u53ef\u5206\u5377\u79ef\u7684\u4f18\u52bf\u5982\u4e0b&#xff1a;<\/h5>\n<ul>\n<li>\n<p>\u6df1\u5ea6\u53ef\u5206\u5377\u79ef\u901a\u8fc7\u5c06\u5377\u79ef\u64cd\u4f5c\u5206\u89e3\u4e3a\u6df1\u5ea6\u5377\u79ef\u548c\u9010\u70b9\u5377\u79ef&#xff0c;\u663e\u8457\u51cf\u5c11\u4e86\u6a21\u578b\u7684\u53c2\u6570\u91cf\u548c\u8ba1\u7b97\u91cf\u3002\u76f8\u8f83\u4e8e\u4f20\u7edf\u7684\u5377\u79ef\u64cd\u4f5c&#xff0c;\u6df1\u5ea6\u53ef\u5206\u5377\u79ef\u4e0d\u4ec5\u4fdd\u6301\u4e86\u826f\u597d\u7684\u7279\u5f81\u63d0\u53d6\u80fd\u529b&#xff0c;\u540c\u65f6\u4e5f\u63d0\u9ad8\u4e86\u6548\u7387\u3002<\/p>\n<\/li>\n<li>\n<p>\u8fd9\u79cd\u8bbe\u8ba1\u4f7f\u5f97 YOLOv13 \u5728\u8fd0\u884c\u65f6\u53ef\u4ee5\u5b9e\u73b0\u66f4\u9ad8\u7684\u63a8\u7406\u901f\u5ea6&#xff0c;\u5e76\u4e14\u80fd\u591f\u5728\u4f4e\u5ef6\u8fdf\u548c\u4f4e\u8ba1\u7b97\u590d\u6742\u5ea6\u4e0b\u5b8c\u6210\u9ad8\u7cbe\u5ea6\u7684\u76ee\u6807\u68c0\u6d4b\u3002<\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"280\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141917-6899fbe5b032f.png\" width=\"405\" \/><\/p>\n<\/li>\n<\/ul>\n<p>YOLOv13\u901a\u8fc7\u8f7b\u91cf\u5316\u8bbe\u8ba1&#xff0c;\u91c7\u7528\u6df1\u5ea6\u53ef\u5206\u5377\u79ef\u4f18\u5316C3k2\u6a21\u5757&#xff0c;DSC3k2\u6a21\u5757\u4e0eYOLOv11\u7684C3k2\u6a21\u5757\u76f8\u6bd4&#xff0c;\u4f7f\u7528\u66f4\u5c11\u7684\u53c2\u6570\u6765\u6539\u8fdb\u7279\u5f81\u8868\u793a\u3002<\/p>\n<p><span style=\"color:#fe2c24\">\u6b64\u5916&#xff0c;Backbone\u90e8\u5206\u8fd8\u5305\u62ec\u4e00\u4e9b\u5e38\u89c1\u7684\u6539\u8fdb\u6280\u672f&#xff0c;\u5982\u4f18\u5316\u6539\u8fdb\u548cDSC3k2\u548cA2C2f\u6a21\u5757\u3001\u7f1d\u5408\u4e00\u4e9b\u5377\u79ef\u6a21\u5757&#xff0c;\u6ce8\u610f\u529b\u6a21\u5757&#xff0c;\u66ff\u6362\u4e3b\u5e72\u7f51\u7edc\u7b49\u6539\u8fdb&#xff0c;\u4ee5\u8fdb\u4e00\u6b65\u589e\u5f3a\u7279\u5f81\u63d0\u53d6\u7684\u80fd\u529b\u3002\u540e\u7eed\u4f1a\u66f4\u65b0\u5927\u91cf\u76f8\u5173\u90e8\u5206\u6539\u8fdb\u70b9\u3002<\/span><\/p>\n<h4 id=\"2.Neck%E9%83%A8%E5%88%86\">2.Neck\u90e8\u5206<\/h4>\n<p>Neck\u9888\u90e8\u7f51\u7edc\u4f4d\u4e8e\u4e3b\u5e72\u7f51\u7edc\u548c\u5934\u90e8\u7f51\u7edc\u4e4b\u95f4&#xff0c;\u5b83\u7684\u4f5c\u7528\u662f\u8fdb\u884c\u7279\u5f81\u878d\u5408\u548c\u589e\u5f3a\u3002<span style=\"color:#fe2c24\">\u540e\u7eed\u4f1a\u66f4\u65b0\u5927\u91cf\u76f8\u5173\u90e8\u5206\u6539\u8fdb\u70b9\u3002<\/span><\/p>\n<h5 id=\"YOLOv13%E5%9C%A8Neck%E9%83%A8%E5%88%86%E5%8C%85%E5%90%AB%E4%B8%A4%E7%A7%8D%E6%A0%B8%E5%BF%83%E5%88%9B%E6%96%B0%E7%82%B9%EF%BC%9A\">YOLOv13\u5728Neck\u90e8\u5206\u5305\u542b\u4e24\u79cd\u6838\u5fc3\u521b\u65b0\u70b9&#xff1a;<\/h5>\n<h6 id=\"%E7%AC%AC%E4%B8%80%E7%A7%8D%E5%88%9B%E6%96%B0%EF%BC%9A%E5%9F%BA%E4%BA%8E%E8%B6%85%E5%9B%BE%E7%9A%84%E8%87%AA%E9%80%82%E5%BA%94%E5%85%B3%E8%81%94%E5%A2%9E%E5%BC%BA%EF%BC%88HyperACE%EF%BC%89%E6%9C%BA%E5%88%B6\">\u7b2c\u4e00\u79cd\u521b\u65b0&#xff1a;\u57fa\u4e8e\u8d85\u56fe\u7684\u81ea\u9002\u5e94\u5173\u8054\u589e\u5f3a&#xff08;HyperACE&#xff09;\u673a\u5236<\/h6>\n<p>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0YOLOv13\u7684\u6838\u5fc3\u521b\u65b0\u662fHyperACE\u673a\u5236&#xff0c;\u5b83\u901a\u8fc7\u8d85\u56fe\u66ff\u4ee3\u4e86\u4f20\u7edf\u7684\u6210\u5bf9\u5173\u8054\u5efa\u6a21\u3002\u4e0e\u65e9\u671f\u7248\u672c\u4f9d\u8d56\u5c40\u90e8\u4fe1\u606f\u6216\u7b80\u5355\u81ea\u6ce8\u610f\u529b\u673a\u5236\u4e0d\u540c&#xff0c;HyperACE\u80fd\u591f\u5b66\u4e60\u591a\u5bf9\u591a\u7684\u9ad8\u9636\u5173\u8054&#xff0c;\u901a\u8fc7\u8de8\u7a7a\u95f4\u4f4d\u7f6e\u548c\u5c3a\u5ea6\u6355\u6349\u5168\u5c40\u8bed\u4e49\u4fe1\u606f&#xff0c;\u7279\u522b\u9002\u7528\u4e8e\u590d\u6742\u573a\u666f\u4e2d\u7684\u7269\u4f53\u4ea4\u4e92\u548c\u7d27\u5bc6\u5173\u7cfb\u3002<\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"216\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141918-6899fbe61ceba.png\" width=\"405\" \/><\/p>\n<p>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u81ea\u9002\u5e94\u8d85\u56fe\u8ba1\u7b97\u4e0e\u4f20\u7edf\u7684\u56fa\u5b9a\u9608\u503c\u8d85\u56fe\u4e0d\u540c&#xff0c;YOLOv13\u4e2d\u7684\u81ea\u9002\u5e94\u8d85\u56fe\u8ba1\u7b97\u52a8\u6001\u5b66\u4e60\u6bcf\u4e2a\u50cf\u7d20\u5728\u8d85\u8fb9\u4e2d\u7684\u53c2\u4e0e\u7a0b\u5ea6&#xff0c;\u4f7f\u5f97\u9ad8\u9636\u5173\u8054\u5efa\u6a21\u66f4\u52a0\u7075\u6d3b\u3001\u7cbe\u786e&#xff0c;\u5e76\u80fd\u5728\u4e0d\u540c\u5c3a\u5ea6\u548c\u4f4d\u7f6e\u4e4b\u95f4\u6709\u6548\u5efa\u6a21\u89c6\u89c9\u7279\u5f81\u7684\u5173\u7cfb\u3002<span style=\"color:#fe2c24\">\u540e\u7eed\u4f1a\u66f4\u65b0\u5927\u91cf\u76f8\u5173\u90e8\u5206\u6539\u8fdb\u70b9\u3002<\/span><\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"316\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141918-6899fbe68635e.png\" width=\"358\" \/><\/p>\n<p>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u81ea\u9002\u5e94\u8d85\u8fb9\u7684\u53ef\u89c6\u5316\u5448\u73b0\u3002\u7b2c\u4e00\u3001\u7b2c\u4e8c\u5217\u4e2d\u7684\u8d85\u8fb9\u4e3b\u8981\u805a\u7126\u4e8e\u524d\u666f\u7269\u4f53\u95f4\u7684\u9ad8\u9636\u4ea4\u4e92\u5173\u7cfb&#xff0c;\u7b2c\u4e09\u5217\u5219\u7740\u91cd\u5c55\u73b0\u80cc\u666f\u4e0e\u524d\u666f\u76ee\u6807\u4e4b\u95f4\u7684\u4e92\u52a8\u6a21\u5f0f\u3002\u8fd9\u4e9b\u81ea\u9002\u5e94\u8d85\u8fb9\u7684\u53ef\u89c6\u5316\u7ed3\u679c&#xff0c;\u80fd\u591f\u76f4\u89c2\u5448\u73b0\u6211\u4eecYOLOv13\u6a21\u578b\u6240\u5efa\u6a21\u7684\u9ad8\u9636\u89c6\u89c9\u5173\u8054\u7279\u5f81\u3002<span style=\"color:#fe2c24\">\u540e\u7eed\u4f1a\u66f4\u65b0\u5927\u91cf\u76f8\u5173\u90e8\u5206\u6539\u8fdb\u70b9\u3002<\/span><\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"285\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141918-6899fbe6e4031.png\" width=\"396\" \/><\/p>\n<h6 id=\"%E7%AC%AC%E4%BA%8C%E7%A7%8D%E5%88%9B%E6%96%B0%EF%BC%9A%E5%85%A8%E7%AE%A1%E9%81%93%E8%81%9A%E5%90%88%E4%B8%8E%E5%88%86%E9%85%8D%EF%BC%88FullPAD%EF%BC%89%E8%8C%83%E5%BC%8F\">\u7b2c\u4e8c\u79cd\u521b\u65b0&#xff1a;\u5168\u7ba1\u9053\u805a\u5408\u4e0e\u5206\u914d&#xff08;FullPAD&#xff09;\u8303\u5f0f<\/h6>\n<p>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0FullPAD\u8303\u5f0f\u65e8\u5728\u63d0\u9ad8\u6574\u4e2a\u7f51\u7edc\u7684\u4fe1\u606f\u6d41\u52a8&#xff0c;\u786e\u4fdd\u7279\u5f81\u5728backbone\u3001neck\u548chead\u4e4b\u95f4\u7684\u7ec6\u7c92\u5ea6\u534f\u540c\u3002\u901a\u8fc7\u5728\u5168\u7ba1\u9053\u4e2d\u5206\u914d\u589e\u5f3a\u7684\u7279\u5f81&#xff0c;\u5b83\u6709\u6548\u6539\u5584\u4e86\u68af\u5ea6\u4f20\u64ad&#xff0c;\u4ece\u800c\u63d0\u9ad8\u4e86\u68c0\u6d4b\u7cbe\u5ea6\u3002<span style=\"color:#fe2c24\">\u540e\u7eed\u4f1a\u66f4\u65b0\u5927\u91cf\u76f8\u5173\u90e8\u5206\u6539\u8fdb\u70b9\u3002<\/span><\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"365\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141919-6899fbe79b448.png\" width=\"404\" \/><\/p>\n<h4 id=\"3.Head%20%E9%83%A8%E5%88%86\">3.Head \u90e8\u5206<\/h4>\n<p>Head\u5934\u90e8\u7f51\u7edc\u662f\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\u7684\u51b3\u7b56\u90e8\u5206&#xff0c;\u8d1f\u8d23\u4ea7\u751f\u6700\u7ec8\u7684\u68c0\u6d4b\u7ed3\u679c\u3002<span style=\"color:#fe2c24\">\u540e\u7eed\u4f1a\u66f4\u65b0\u5927\u91cf\u76f8\u5173\u90e8\u5206\u6539\u8fdb\u70b9\u3002<\/span><\/p>\n<h2 id=\"%E4%BA%8C%E3%80%81yolov8.yaml%E9%85%8D%E7%BD%AE%E6%96%87%E4%BB%B6%E8%BF%9B%E8%A1%8C%E8%AF%A6%E7%BB%86%E8%AE%B2%E8%A7%A3\" style=\"background-color:transparent\">\u4e09\u3001yolov13.yaml\u914d\u7f6e\u6587\u4ef6\u8fdb\u884c\u8be6\u7ec6\u8bb2\u89e3<\/h2>\n<p>\u914d\u7f6e\u6587\u4ef6\u4e3b\u8981\u5206\u4e3a\u4e09\u4e2a\u90e8\u5206:\u00a0\u53c2\u6570\u90e8\u5206\u3010Parameters\u3011&#xff0c;\u4e3b\u5e72\u90e8\u5206\u3010backone\u3011&#xff0c;\u5934\u90e8\u90e8\u5206\u3010head\u3011\u3002\u4e0b\u9762\u5206\u522b\u5bf9\u8fd9\u51e0\u4e2a\u90e8\u5206\u8fdb\u884c\u8be6\u7ec6\u8bf4\u660e\u3002<\/p>\n<p>\u5173\u4e8eYOLOv13\u7f51\u7edc\u7684\u914d\u7f6e\u6587\u4ef6yolov13.yaml\u7684\u8be6\u7ec6\u5185\u5bb9\u5982\u4e0b&#xff1a;<\/p>\n<p>nc: 80 # number of classes<br \/>\nscales: # model compound scaling constants, i.e. &#039;model&#061;yolov13n.yaml&#039; will call yolov13.yaml with scale &#039;n&#039;<br \/>\n  # [depth, width, max_channels]<br \/>\n  n: [0.50, 0.25, 1024]   # Nano<br \/>\n  s: [0.50, 0.50, 1024]   # Small<br \/>\n  l: [1.00, 1.00, 512]    # Large<br \/>\n  x: [1.00, 1.50, 512]    # Extra Large<\/p>\n<p>backbone:<br \/>\n  # [from, repeats, module, args]<br \/>\n  &#8211; [-1, 1, Conv,  [64, 3, 2]] # 0-P1\/2<br \/>\n  &#8211; [-1, 1, Conv,  [128, 3, 2, 1, 2]] # 1-P2\/4<br \/>\n  &#8211; [-1, 2, DSC3k2,  [256, False, 0.25]]<br \/>\n  &#8211; [-1, 1, Conv,  [256, 3, 2, 1, 4]] # 3-P3\/8<br \/>\n  &#8211; [-1, 2, DSC3k2,  [512, False, 0.25]]<br \/>\n  &#8211; [-1, 1, DSConv,  [512, 3, 2]] # 5-P4\/16<br \/>\n  &#8211; [-1, 4, A2C2f, [512, True, 4]]<br \/>\n  &#8211; [-1, 1, DSConv,  [1024, 3, 2]] # 7-P5\/32<br \/>\n  &#8211; [-1, 4, A2C2f, [1024, True, 1]] # 8<\/p>\n<p>head:<br \/>\n  &#8211; [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, &#034;both&#034;]]<br \/>\n  &#8211; [-1, 1, nn.Upsample, [None, 2, &#034;nearest&#034;]]<br \/>\n  &#8211; [ 9, 1, DownsampleConv, []]<br \/>\n  &#8211; [[6, 9], 1, FullPAD_Tunnel, []]  #12<br \/>\n  &#8211; [[4, 10], 1, FullPAD_Tunnel, []]  #13<br \/>\n  &#8211; [[8, 11], 1, FullPAD_Tunnel, []] #14 <\/p>\n<p>  &#8211; [-1, 1, nn.Upsample, [None, 2, &#034;nearest&#034;]]<br \/>\n  &#8211; [[-1, 12], 1, Concat, [1]] # cat backbone P4<br \/>\n  &#8211; [-1, 2, DSC3k2, [512, True]] # 17<br \/>\n  &#8211; [[-1, 9], 1, FullPAD_Tunnel, []]  #18<\/p>\n<p>  &#8211; [17, 1, nn.Upsample, [None, 2, &#034;nearest&#034;]]<br \/>\n  &#8211; [[-1, 13], 1, Concat, [1]] # cat backbone P3<br \/>\n  &#8211; [-1, 2, DSC3k2, [256, True]] # 21<br \/>\n  &#8211; [10, 1, Conv, [256, 1, 1]]<br \/>\n  &#8211; [[21, 22], 1, FullPAD_Tunnel, []]  #23<\/p>\n<p>  &#8211; [-1, 1, Conv, [256, 3, 2]]<br \/>\n  &#8211; [[-1, 18], 1, Concat, [1]] # cat head P4<br \/>\n  &#8211; [-1, 2, DSC3k2, [512, True]] # 26<br \/>\n  &#8211; [[-1, 9], 1, FullPAD_Tunnel, []]  <\/p>\n<p>  &#8211; [26, 1, Conv, [512, 3, 2]]<br \/>\n  &#8211; [[-1, 14], 1, Concat, [1]] # cat head P5<br \/>\n  &#8211; [-1, 2, DSC3k2, [1024,True]] # 30 (P5\/32-large)<br \/>\n  &#8211; [[-1, 11], 1, FullPAD_Tunnel, []]  <\/p>\n<p>  &#8211; [[23, 27, 31], 1, Detect, [nc]] # Detect(P3, P4, P5) <\/p>\n<h3 id=\"2.1%C2%A0%E5%8F%82%E6%95%B0%E9%83%A8%E5%88%86%E3%80%90Parameters%E3%80%91\">3.1\u00a0\u53c2\u6570\u90e8\u5206\u3010Parameters\u3011<\/h3>\n<p>nc: 80 # number of classes<br \/>\nscales: # model compound scaling constants, i.e. &#039;model&#061;yolov13n.yaml&#039; will call yolov13.yaml with scale &#039;n&#039;<br \/>\n  # [depth, width, max_channels]<br \/>\n  n: [0.50, 0.25, 1024]   # Nano<br \/>\n  s: [0.50, 0.50, 1024]   # Small<br \/>\n  l: [1.00, 1.00, 512]    # Large<br \/>\n  x: [1.00, 1.50, 512]    # Extra Large <\/p>\n<ul>\n<li>\n<p>nc: 80\u00a0\u6307\u7684\u662f\u6570\u636e\u96c6\u4e2d\u7684\u7c7b\u522b\u6570\u91cf\u3002<\/p>\n<\/li>\n<li>\n<p>scales:\u00a0\u4ee3\u8868\u6a21\u578b\u5c3a\u5bf8&#xff0c;\u5206\u4e86n,s,l,x\u8fd95\u4e2a\u4e0d\u540c\u5927\u5c0f\u7684\u5c3a\u5bf8&#xff0c;\u53c2\u6570\u91cf\u4f9d\u6b21\u4ece\u5c0f\u5230\u5927\u3002<\/p>\n<\/li>\n<li>\n<p>[depth, width, max_channels]:\u5206\u522b\u8868\u793a\u7f51\u7edc\u6a21\u578b\u7684\u6df1\u5ea6\u56e0\u5b50\u3001\u7f51\u7edc\u6a21\u578b\u7684\u5bbd\u5ea6\u56e0\u5b50\u3001\u6700\u5927\u901a\u9053\u6570\u3002<\/p>\n<\/li>\n<li>\n<p>depth\u6df1\u5ea6\u56e0\u5b50\u7684\u4f5c\u7528&#xff1a;\u8868\u793a\u6a21\u578b\u4e2d\u91cd\u590d\u6a21\u5757\u7684\u6570\u91cf\u6216\u5c42\u6570\u7684\u7f29\u653e\u6bd4\u4f8b\u3002\u8fd9\u91cc\u4e3b\u8981\u7528\u6765\u8c03\u6574DSC3k2\u6a21\u5757\u4e2d\u7684\u5b50\u6a21\u5757DSBottleneck\u91cd\u590d\u6b21\u6570\u3002\u6bd4\u5982\u4e3b\u5e72\u4e2d\u7b2c\u4e00\u4e2aDSC3k2\u6a21\u5757\u7684number\u7cfb\u6570\u662f2&#xff0c;\u6211\u4eec\u4f7f\u75280.5&#215;2\u5e76\u4e14\u5411\u4e0a\u53d6\u6574\u5c31\u7b49\u4e8e1\u4e86&#xff0c;\u8fd9\u5c31\u4ee3\u8868\u7b2c\u4e00\u4e2aDSC3k2\u6a21\u5757\u4e2dDSBottleneck\u53ea\u91cd\u590d\u4e00\u6b21&#xff1b;<\/p>\n<\/li>\n<li>\n<p>width\u5bbd\u5ea6\u56e0\u5b50\u7684\u4f5c\u7528&#xff1a;\u8868\u793a\u6a21\u578b\u4e2d\u901a\u9053\u6570&#xff08;\u5373\u7279\u5f81\u56fe\u7684\u6df1\u5ea6&#xff09;\u7684\u7f29\u653e\u6bd4\u4f8b,\u5982\u679c\u67d0\u4e2a\u5c42\u539f\u672c\u670964\u4e2a\u901a\u9053&#xff0c;\u800cwidth\u8bbe\u7f6e\u4e3a0.5&#xff0c;\u5219\u8be5\u5c42\u7684\u901a\u9053\u6570\u53d8\u4e3a32\u3002<span style=\"color:#fe2c24\">\u4e3e\u4f8b&#xff1a;\u6bd4\u5982\u4f7f\u7528yolov13n.yaml\u6587\u4ef6&#xff0c;\u53c2\u6570\u4e3a[0.50, 0.25, 1024]\u3002\u7b2c\u4e00\u4e2aConv\u6a21\u5757\u7684\u8f93\u51fa\u901a\u9053\u6570\u5199\u7684\u662f64&#xff0c;\u4f46\u662f\u5b9e\u9645\u4e0a\u8fd9\u4e2a\u901a\u9053\u6570\u5e76\u4e0d\u662f64&#xff0c;\u800c\u662f\u4f7f\u7528\u5bbd\u5ea6\u56e0\u5b50\u00a00.25&#215;64\u5f97\u5230\u7684\u6700\u7ec8\u7ed3\u679c16&#xff1b;<\/span>\u540c\u7406&#xff0c;DSC3k2\u6a21\u5757\u7684\u8f93\u51fa\u901a\u9053\u867d\u7136\u5728yaml\u6587\u4ef6\u4e0a\u5199\u7684\u662f256&#xff0c;\u4f46\u662f\u5728\u5b9e\u9645\u4f7f\u7528\u65f6\u4f9d\u7136\u8981\u4e58\u4e0a\u5bbd\u5ea6\u56e0\u5b500.25&#xff0c;\u90a3\u4e48\u7b2c\u4e00\u4e2aDSC3k2\u6a21\u5757\u6700\u7ec8\u7684\u5230\u5b9e\u9645\u901a\u9053\u6570\u5c31\u662f0.25&#215;256 &#061; 64\u3002\u5982\u4e0b\u56fe\u6240\u793a&#xff0c;\u5176\u4ed6\u7684\u4f9d\u6b21\u7c7b\u63a8\u3002<\/p>\n<\/li>\n<li>\n<p>max-channels:\u00a0\u8868\u793a\u6bcf\u5c42\u6700\u5927\u901a\u9053\u6570\u3002\u6bcf\u5c42\u7684\u901a\u9053\u6570\u4f1a\u4e0e\u8fd9\u4e2a\u53c2\u6570\u8fdb\u884c\u4e00\u4e2a\u5bf9\u6bd4&#xff0c;\u5982\u679c\u7279\u5f81\u56fe\u901a\u9053\u6570\u5927\u4e8e\u8fd9\u4e2a\u6570&#xff0c;\u90a3\u5c31\u53d6\u00a0max_channels\u7684\u503c\u3002<\/p>\n<\/li>\n<\/ul>\n<h3 id=\"2.2%20%E4%B8%BB%E5%B9%B2%E9%83%A8%E5%88%86%E3%80%90backbone%E3%80%91\">3.2 \u4e3b\u5e72\u90e8\u5206\u3010backbone\u3011<\/h3>\n<p># YOLO13 backbone<br \/>\nbackbone:<br \/>\n  # [from, repeats, module, args]<br \/>\n  &#8211; [-1, 1, Conv,  [64, 3, 2]] # 0-P1\/2<br \/>\n  &#8211; [-1, 1, Conv,  [128, 3, 2, 1, 2]] # 1-P2\/4<br \/>\n  &#8211; [-1, 2, DSC3k2,  [256, False, 0.25]]<br \/>\n  &#8211; [-1, 1, Conv,  [256, 3, 2, 1, 4]] # 3-P3\/8<br \/>\n  &#8211; [-1, 2, DSC3k2,  [512, False, 0.25]]<br \/>\n  &#8211; [-1, 1, DSConv,  [512, 3, 2]] # 5-P4\/16<br \/>\n  &#8211; [-1, 4, A2C2f, [512, True, 4]]<br \/>\n  &#8211; [-1, 1, DSConv,  [1024, 3, 2]] # 7-P5\/32<br \/>\n  &#8211; [-1, 4, A2C2f, [1024, True, 1]] # 8 <\/p>\n<p>\u4e3b\u5e72\u90e8\u5206\u6709\u56db\u4e2a\u53c2\u6570[from, number, module, args]\u00a0&#xff0c;\u89e3\u91ca\u5982\u4e0b&#xff1a;<\/p>\n<ul>\n<li>\n<p>from&#xff1a;\u8fd9\u4e2a\u53c2\u6570\u4ee3\u8868\u4ece\u54ea\u4e00\u5c42\u83b7\u5f97\u8f93\u5165&#xff0c;-1\u5c31\u8868\u793a\u4ece\u4e0a\u4e00\u5c42\u83b7\u5f97\u8f93\u5165&#xff0c;<span style=\"color:#fe2c24\">[-1, 6]\u5c31\u8868\u793a\u4ece\u4e0a\u4e00\u5c42\u548c\u7b2c6\u5c42\u8fd9\u4e24\u5c42\u83b7\u5f97\u8f93\u5165<\/span>\u3002\u7b2c\u4e00\u5c42\u6bd4\u8f83\u7279\u6b8a&#xff0c;\u8fd9\u91cc\u7b2c\u4e00\u5c42\u4e0a\u4e00\u5c42 \u6ca1\u6709\u8f93\u5165&#xff0c;from\u9ed8\u8ba4-1\u5c31\u597d\u4e86\u3002<\/p>\n<\/li>\n<li>\n<p>repeats&#xff1a;\u8fd9\u4e2a\u53c2\u6570\u8868\u793a\u6a21\u5757\u91cd\u590d\u7684\u6b21\u6570&#xff0c;\u5982\u679c\u4e3a2\u5219\u8868\u793a\u8be5\u6a21\u5757\u91cd\u590d2\u6b21&#xff0c;\u8fd9\u91cc\u5e76\u4e0d\u4e00\u5b9a\u662f\u8fd9\u4e2a\u6a21\u5757\u7684\u91cd\u590d\u6b21\u6570&#xff0c;\u4e5f\u6709\u53ef\u80fd\u662f\u8fd9\u4e2a\u6a21\u5757\u4e2d\u7684\u5b50\u6a21\u5757\u91cd\u590d\u7684\u6b21\u6570\u3002\u5bf9\u4e8eDSC3k2\u6a21\u5757\u6765\u8bf4&#xff0c;\u8fd9\u4e2arepeats\u5c31\u4ee3\u8868DSC3k2\u4e2dDSBottelneck\u6216\u662fDSC3k\u6a21\u5757\u91cd\u590d\u7684\u6b21\u6570\u3002<\/p>\n<\/li>\n<li>\n<p>module&#xff1a;\u8fd9\u4e2a\u5c31\u4ee3\u8868\u4f60\u8fd9\u5c42\u4f7f\u7528\u7684\u6a21\u5757\u7684\u540d\u79f0&#xff0c;\u6bd4\u5982\u4f60\u7b2c\u4e00\u5c42\u4f7f\u7528\u4e86Conv\u6a21\u5757&#xff0c;\u7b2c\u4e09\u5c42\u4f7f\u7528\u4e86DSC3k2\u6a21\u5757\u3002<\/p>\n<\/li>\n<li>\n<p>args&#xff1a;\u8868\u793a\u8fd9\u4e2a\u6a21\u5757\u9700\u8981\u4f20\u5165\u7684\u53c2\u6570&#xff0c;<span style=\"color:#fe2c24\">\u7b2c\u4e00\u4e2a\u53c2\u6570\u5747\u8868\u793a\u8be5\u5c42\u7684\u8f93\u51fa\u901a\u9053\u6570<\/span>\u3002\u5bf9\u4e8e\u7b2c\u4e00\u5c42conv\u53c2\u6570\u301064,3&#xff0c;2\u3011&#xff1a;64\u4ee3\u8868\u8f93\u51fa\u901a\u9053\u6570&#xff0c;3\u4ee3\u8868\u5377\u79ef\u6838\u5927\u5c0fk&#xff0c;2\u4ee3\u8868stride\u6b65\u957f\u3002<span style=\"color:#fe2c24\">\u6bcf\u5c42\u8f93\u5165\u901a\u9053\u6570&#xff0c;\u9ed8\u8ba4\u662f\u4e0a\u4e00\u5c42\u7684\u8f93\u51fa\u901a\u9053\u6570\u3002<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span style=\"color:#fe2c24\">\u5176\u4ed6\u8bf4\u660e&#xff1a;<\/span><span style=\"color:#0d0016\">\u5404\u5c42\u6ce8\u91ca\u4e2d\u7684P1\/2\u8868\u793a\u8be5\u5c42\u7279\u5f81\u56fe\u7f29\u653e\u4e3a\u8f93\u5165\u56fe\u50cf\u5c3a\u5bf8\u76841\/2&#xff0c;\u662f\u7b2c1\u7279\u5f81\u5c42&#xff1b;P2\/4\u8868\u793a\u8be5\u5c42\u7279\u5f81\u56fe\u7f29\u653e\u4e3a\u8f93\u5165\u56fe\u50cf\u5c3a\u5bf8\u76841\/4&#xff0c;\u662f\u7b2c2\u7279\u5f81\u5c42&#xff1b;\u5176\u4ed6\u7684\u4f9d\u6b21\u7c7b\u63a8\u3002\u00a0<\/span><\/p>\n<h3 id=\"%C2%A02.3%20%E5%A4%B4%E9%83%A8%E3%80%90head%E3%80%91\">3.3 \u5934\u90e8\u3010head\u3011<\/h3>\n<p># YOLO13 head<br \/>\nhead:<br \/>\n  # [from, repeats, module, args]<br \/>\n  &#8211; [[4, 6, 8], 2, HyperACE, [512, 8, True, True, 0.5, 1, &#034;both&#034;]]<br \/>\n  &#8211; [-1, 1, nn.Upsample, [None, 2, &#034;nearest&#034;]]<br \/>\n  &#8211; [ 9, 1, DownsampleConv, []]<br \/>\n  &#8211; [[6, 9], 1, FullPAD_Tunnel, []]  #12<br \/>\n  &#8211; [[4, 10], 1, FullPAD_Tunnel, []]  #13<br \/>\n  &#8211; [[8, 11], 1, FullPAD_Tunnel, []] #14 <\/p>\n<p>  &#8211; [-1, 1, nn.Upsample, [None, 2, &#034;nearest&#034;]]<br \/>\n  &#8211; [[-1, 12], 1, Concat, [1]] # cat backbone P4<br \/>\n  &#8211; [-1, 2, DSC3k2, [512, True]] # 17<br \/>\n  &#8211; [[-1, 9], 1, FullPAD_Tunnel, []]  #18<\/p>\n<p>  &#8211; [17, 1, nn.Upsample, [None, 2, &#034;nearest&#034;]]<br \/>\n  &#8211; [[-1, 13], 1, Concat, [1]] # cat backbone P3<br \/>\n  &#8211; [-1, 2, DSC3k2, [256, True]] # 21<br \/>\n  &#8211; [10, 1, Conv, [256, 1, 1]]<br \/>\n  &#8211; [[21, 22], 1, FullPAD_Tunnel, []]  #23<\/p>\n<p>  &#8211; [-1, 1, Conv, [256, 3, 2]]<br \/>\n  &#8211; [[-1, 18], 1, Concat, [1]] # cat head P4<br \/>\n  &#8211; [-1, 2, DSC3k2, [512, True]] # 26<br \/>\n  &#8211; [[-1, 9], 1, FullPAD_Tunnel, []]  <\/p>\n<p>  &#8211; [26, 1, Conv, [512, 3, 2]]<br \/>\n  &#8211; [[-1, 14], 1, Concat, [1]] # cat head P5<br \/>\n  &#8211; [-1, 2, DSC3k2, [1024,True]] # 30 (P5\/32-large)<br \/>\n  &#8211; [[-1, 11], 1, FullPAD_Tunnel, []]  <\/p>\n<p>  &#8211; [[23, 27, 31], 1, Detect, [nc]] # Detect(P3, P4, P5)<\/p>\n<p>\u5934\u90e8\u5206\u6709\u56db\u4e2a\u53c2\u6570[from, number, module, args]\u00a0&#xff0c;\u89e3\u91ca\u5982\u4e0b&#xff1a;<\/p>\n<ul>\n<li>\n<p>from&#xff1a;\u8fd9\u4e2a\u53c2\u6570\u4ee3\u8868\u4ece\u54ea\u4e00\u5c42\u83b7\u5f97\u8f93\u5165&#xff0c;-1\u5c31\u8868\u793a\u4ece\u4e0a\u4e00\u5c42\u83b7\u5f97\u8f93\u5165&#xff0c;[-1, 6]\u5c31\u8868\u793a\u4ece\u4e0a\u4e00\u5c42\u548c\u7b2c6\u5c42\u8fd9\u4e24\u5c42\u83b7\u5f97\u8f93\u5165\u3002\u7b2c\u4e00\u5c42\u6bd4\u8f83\u7279\u6b8a&#xff0c;\u8fd9\u91cc\u7b2c\u4e00\u5c42\u4e0a\u4e00\u5c42 \u6ca1\u6709\u8f93\u5165&#xff0c;from\u9ed8\u8ba4-1\u5c31\u597d\u4e86\u3002<\/p>\n<\/li>\n<li>\n<p>repeats&#xff1a;\u8fd9\u4e2a\u53c2\u6570\u8868\u793a\u6a21\u5757\u91cd\u590d\u7684\u6b21\u6570&#xff0c;\u5982\u679c\u4e3a2\u5219\u8868\u793a\u8be5\u6a21\u5757\u91cd\u590d2\u6b21&#xff0c;\u8fd9\u91cc\u5e76\u4e0d\u4e00\u5b9a\u662f\u8fd9\u4e2a\u6a21\u5757\u7684\u91cd\u590d\u6b21\u6570&#xff0c;\u4e5f\u6709\u53ef\u80fd\u662f\u8fd9\u4e2a\u6a21\u5757\u4e2d\u7684\u5b50\u6a21\u5757\u91cd\u590d\u7684\u6b21\u6570\u3002\u5bf9\u4e8eDSC3k2\u6a21\u5757\u6765\u8bf4&#xff0c;\u8fd9\u4e2arepeats\u5c31\u4ee3\u8868DSC3k2\u4e2dDSBottelneck\u6216\u662fDSC3k\u6a21\u5757\u91cd\u590d\u7684\u6b21\u6570\u3002<\/p>\n<\/li>\n<li>\n<p>module&#xff1a;\u8fd9\u4e2a\u5c31\u4ee3\u8868\u4f60\u8fd9\u5c42\u4f7f\u7528\u7684\u6a21\u5757\u7684\u540d\u79f0&#xff0c;\u6bd4\u5982\u4f60\u7b2c\u4e00\u5c42\u4f7f\u7528\u4e86Conv\u6a21\u5757&#xff0c;\u7b2c\u4e09\u5c42\u4f7f\u7528\u4e86DSC3k2\u6a21\u5757\u3002<\/p>\n<\/li>\n<li>\n<p>args&#xff1a;\u8868\u793a\u8fd9\u4e2a\u6a21\u5757\u9700\u8981\u4f20\u5165\u7684\u53c2\u6570&#xff0c;\u7b2c\u4e00\u4e2a\u53c2\u6570\u5747\u8868\u793a\u8be5\u5c42\u7684\u8f93\u51fa\u901a\u9053\u6570\u3002\u5bf9\u4e8e\u7b2c\u4e00\u5c42conv\u53c2\u6570\u301064,3&#xff0c;2\u3011&#xff1a;64\u4ee3\u8868\u8f93\u51fa\u901a\u9053\u6570&#xff0c;3\u4ee3\u8868\u5377\u79ef\u6838\u5927\u5c0fk&#xff0c;2\u4ee3\u8868stride\u6b65\u957f\u3002\u6bcf\u5c42\u8f93\u5165\u901a\u9053\u6570&#xff0c;\u9ed8\u8ba4\u662f\u4e0a\u4e00\u5c42\u7684\u8f93\u51fa\u901a\u9053\u6570\u3002<\/p>\n<\/li>\n<li>\n<p>\u8fd9\u90e8\u5206\u4e3b\u8981\u591a\u51fa4\u4e2a\u64cd\u4f5cHyperACE\u3001FullPAD_Tunnel,nn.Upsample\u3001Concat\u3001Detect,\u89e3\u91ca\u5982\u4e0b&#xff1a;<\/p>\n<\/li>\n<li>\n<p>HyperACE:\u00a0\u00a0\u8fd9\u662f\u4e00\u4e2a\u7528\u4e8e\u589e\u5f3a\u7279\u5f81\u7684\u6a21\u5757&#xff0c;\u4f7f\u7528\u4e86 HyperACE&#xff0c;\u5b83\u5904\u7406\u6765\u81ea\u4e0d\u540c\u4f4d\u7f6e&#xff08;P3\u3001P4\u3001P5&#xff09;\u7684\u7279\u5f81&#xff0c;\u8f93\u51fa\u7684\u901a\u9053\u6570\u4e3a 512&#xff0c;\u6df1\u5ea6\u4e3a 8&#xff0c;\u4f7f\u7528\u5168\u5c40\u548c\u5c40\u90e8\u9ad8\u9636\u5173\u8054\u5efa\u6a21&#xff08;&#034;both&#034;&#xff09;\u3002\u53c2\u6570\u8868\u793a\u5982\u4f55\u8fdb\u884c\u589e\u5f3a\u548c\u7279\u5f81\u878d\u5408\u3002<\/p>\n<\/li>\n<li>\n<p>FullPAD_Tunnel:\u00a0FullPAD_Tunnel \u6a21\u5757&#xff0c;\u5b83\u7528\u4e8e\u8fdb\u4e00\u6b65\u5206\u914d\u548c\u878d\u5408\u7279\u5f81&#xff0c;\u4ee5\u63d0\u5347\u68c0\u6d4b\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/li>\n<li>\n<p>nn.Upsample:\u8868\u793a\u4e0a\u91c7\u6837&#xff0c;\u5c06\u7279\u5f81\u56fe\u5927\u5c0f\u8fdb\u884c\u7ffb\u500d\u64cd\u4f5c\u3002\u6bd4\u5982\u5c06\u5927\u5c0f\u4e3a20X20\u7684\u7279\u5f81\u56fe&#xff0c;\u53d8\u4e3a40X40\u7684\u7279\u5f81\u56fe\u5927\u5c0f\u3002<\/p>\n<\/li>\n<li>\n<p>Concat&#xff1a;\u4ee3\u8868\u62fc\u63a5\u64cd\u4f5c&#xff0c;\u5c06\u76f8\u540c\u5927\u5c0f\u7684\u7279\u5f81\u56fe&#xff0c;\u901a\u9053\u8fdb\u884c\u62fc\u63a5&#xff0c;\u8981\u6c42\u662f\u7279\u5f81\u56fe\u5927\u5c0f\u4e00\u81f4&#xff0c;\u901a\u9053\u6570\u53ef\u4ee5\u4e0d\u76f8\u540c\u3002\u4f8b\u5982[-1, 6]&#xff1a;-1\u4ee3\u8868\u4e0a\u4e00\u5c42&#xff0c;6\u4ee3\u8868\u7b2c\u516d\u5c42&#xff08;\u4ece\u7b2c0\u5c42\u5f00\u59cb\u6570&#xff09;&#xff0c;\u5c06\u4e0a\u4e00\u5c42\u4e0e\u7b2c6\u5c42\u8fdb\u884cconcat\u62fc\u63a5\u64cd\u4f5c\u3002<\/p>\n<\/li>\n<li>\n<p>Detect\u7684from\u6709\u4e09\u4e2a\u6570&#xff1a; [23&#xff0c;27&#xff0c;31]&#xff0c;\u8fd9\u4e09\u4e2a\u5c31\u662f\u6700\u7ec8\u7f51\u7edc\u7684\u8f93\u51fa\u7279\u5f81\u56fe&#xff0c;\u5206\u522b\u5bf9\u5e94P3&#xff0c;P4&#xff0c;P5\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u00a0\u6a21\u578b\u8bad\u7ec3\u65f6\u6253\u5370\u51fa\u7684\u7ed3\u6784\u53c2\u6570\u5982\u4e0b&#xff0c;\u4e0b\u56fe\u4e3ayolov13n.yaml\u6253\u5370\u4fe1\u606f&#xff1a;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"1056\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141920-6899fbe870ef4.png\" width=\"1322\" \/><\/p>\n<h2 id=\"%E4%B8%89%E3%80%81YOLOv13%E8%99%9A%E6%8B%9F%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE\" style=\"background-color:transparent\">\u56db\u3001YOLOv13\u865a\u62df\u73af\u5883\u914d\u7f6e<\/h2>\n<h3 id=\"%E5%88%9B%E5%81%A5YOLOv13%E7%9A%84%E8%99%9A%E6%8B%9F%E7%8E%AF%E5%A2%83%EF%BC%9A\">\u521b\u5065YOLOv13\u7684\u865a\u62df\u73af\u5883&#xff1a;<\/h3>\n<p>\u9996\u5148\u4e0b\u8f7dYOLOv13\u9879\u76ee\u6e90\u7801&#xff0c;\u70b9\u51fb\u94fe\u63a5\u5373\u53ef\u8df3\u8f6c<\/p>\n<p>YOLOv13\u5b98\u65b9\u6e90\u7801\u94fe\u63a5&#xff0c;\u70b9\u51fb\u5373\u53ef\u8df3\u8f6c&#xff01;<\/p>\n<p># \u5728\u7ec8\u7aef\u4f7f\u7528\u5982\u4e0b\u547d\u4ee4\u5b89\u88c5YOLOv13\u7684\u865a\u62df\u73af\u5883<br \/>\n# \u7b2c\u4e00\u6b65\u521b\u5efa\u4e00\u4e2a\u81ea\u5df1\u7684\u865a\u62df\u73af\u5883&#xff1a;<br \/>\nconda create -n yolov13 python&#061;3.11<br \/>\n# \u7b2c\u4e8c\u6b65\u8fdb\u5165\u5230\u81ea\u5df1\u7684\u865a\u62df\u73af\u5883&#xff1a;<br \/>\nconda activate yolov13<br \/>\n# \u7b2c\u4e09\u6b65\u5b89\u88c5\u9879\u76ee\u9700\u8981\u7684\u5305&#xff1a;<br \/>\npip install -r requirements.txt <\/p>\n<p>YOLOv13\u5b98\u65b9\u6e90\u7801\u94fe\u63a5&#xff0c;\u70b9\u51fb\u5373\u53ef\u8df3\u8f6c&#xff01;<\/p>\n<p>\u63d0\u793a&#xff01;\u5982\u679c\u4e4b\u524d\u8ba2\u9605\u8fc7\u6211\u9879\u76ee\u7684\u5c0f\u4f19\u4f34&#xff0c;\u4e4b\u524d\u7684\u73af\u5883\u662f\u53ef\u4ee5\u76f4\u63a5\u8fd0\u884cyolov13\u3002\u5982\u679c\u8ba2\u9605\u4e13\u680f\u7684\u5c0f\u4f19\u4f34&#xff0c;\u4e0d\u4f1a\u521b\u5efa\u865a\u62df\u73af\u5883&#xff0c;\u53ef\u4ee5\u54a8\u8be2\u535a\u4e3b&#xff0c;\u63d0\u4f9bWindows\u7cfb\u7edf\u4e0b\u7684\u73af\u5883\u5305\u3002\u5982\u679c\u4e0d\u4f1a\u914d\u7f6e\u73af\u5883&#xff0c;\u4e5f\u53ef\u4ee5\u8fdc\u7a0b\u63a7\u5236\u5e2e\u5fd9\u914d\u7f6e\u73af\u5883\u51e0\u5206\u949f\u5c31\u53ef\u4ee5\u914d\u597d\u53bb\u8dd1\u5b9e\u9a8c\u3002<\/p>\n<h2 id=\"%E4%B8%89%E3%80%81YOLOv8%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83%E5%8F%82%E6%95%B0%E8%AF%A6%E7%BB%86%E8%A7%A3%E6%9E%90%C2%A0\" style=\"background-color:transparent\">\u4e94\u3001YOLOv13\u6a21\u578b\u8bad\u7ec3\u53c2\u6570\u8be6\u7ec6\u89e3\u6790\u00a0<\/h2>\n<p>\u5173\u4e8eyolov13\u7684\u8bad\u7ec3\u53c2\u6570\u8be5\u5982\u4f55\u8bbe\u7f6e\u3002\u63a5\u4e0b\u6765\u5bf9yolov13\u7684\u76f8\u5173\u8bad\u7ec3\u53c2\u6570\u548c\u4f7f\u7528\u65b9\u6cd5\u8fdb\u884c\u4e86\u8be6\u7ec6\u8bf4\u660e\u3002\u5e0c\u671b\u5bf9\u5927\u5bb6\u6709\u6240\u5e2e\u52a9&#xff01;<\/p>\n<h3 id=\"3.1%20YOLOv8%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83%E4%BB%A3%E7%A0%81\">5.1 YOLOv13\u6a21\u578b\u8bad\u7ec3\u4ee3\u7801<\/h3>\n<p>YOLOv13\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\u8bad\u7ec3\u65f6\u4f7f\u7528\u7684\u4ee3\u7801\u5982\u4e0b&#xff1a;<\/p>\n<p>from ultralytics import YOLO<br \/>\n# \u52a0\u8f7d\u5b98\u65b9\u9884\u8bad\u7ec3\u6a21\u578b<br \/>\nmodel &#061; YOLO(&#034;yolov13n.pt&#034;&#xff0c;task&#061;&#034;detect&#034;)<br \/>\n# \u6a21\u578b\u8bad\u7ec3<br \/>\nresults &#061; model.train(data&#061;&#034;data.yaml&#034;, epochs&#061;100, batch&#061;4) <\/p>\n<p>YOLOv13\u56fe\u50cf\u5206\u5272\u6a21\u578b\u8bad\u7ec3\u65f6\u4f7f\u7528\u7684\u4ee3\u7801\u5982\u4e0b&#xff1a;<\/p>\n<p>from ultralytics import YOLO<br \/>\n# \u52a0\u8f7d\u5b98\u65b9\u9884\u8bad\u7ec3\u6a21\u578b<br \/>\nmodel &#061; YOLO(&#034;yolov13n.pt&#034;&#xff0c;task&#061;&#034;segment&#034;)<br \/>\n# \u6a21\u578b\u8bad\u7ec3<br \/>\nresults &#061; model.train(data&#061;&#034;data.yaml&#034;, epochs&#061;100, batch&#061;4) <\/p>\n<p>YOLOv13\u6a21\u578b\u8bad\u7ec3\u811a\u672ctrain.py\u4ee3\u7801\u5982\u4e0b&#xff1a;\u00a0<\/p>\n<p>from ultralytics import YOLO  # \u5bfc\u5165 YOLO \u7c7b&#xff0c;\u4ece ultralytics \u5e93\u4e2d\u52a0\u8f7d YOLO \u6a21\u578b<\/p>\n<p>model &#061; YOLO(&#039;yolov13n.yaml&#039;)  # \u521b\u5efa\u4e00\u4e2a YOLO \u6a21\u578b\u5b9e\u4f8b&#xff0c;\u52a0\u8f7d yolov13n.yaml \u914d\u7f6e\u6587\u4ef6&#xff08;Nano \u7248\u672c&#xff09;<\/p>\n<p># Train the model  # \u6ce8\u91ca&#xff1a;\u5f00\u59cb\u8bad\u7ec3\u6a21\u578b<\/p>\n<p>results &#061; model.train(<br \/>\n  data&#061;&#039;coco.yaml&#039;,  # \u6307\u5b9a\u6570\u636e\u96c6\u7684\u914d\u7f6e\u6587\u4ef6&#xff0c;\u8fd9\u91cc\u4f7f\u7528\u7684\u662f coco.yaml \u914d\u7f6e\u6587\u4ef6&#xff0c;\u5305\u542b COCO \u6570\u636e\u96c6\u7684\u4fe1\u606f<br \/>\n  epochs&#061;600,  # \u8bad\u7ec3\u7684\u8f6e\u6570&#xff0c;\u6a21\u578b\u5c06\u8bad\u7ec3 600 \u4e2a\u5468\u671f<br \/>\n  batch&#061;256,  # \u6bcf\u6b21\u8bad\u7ec3\u7684\u6279\u6b21\u5927\u5c0f&#xff0c;\u6bcf\u6b21\u8bad\u7ec3\u4f1a\u7528\u5230 256 \u5f20\u56fe\u50cf<br \/>\n  imgsz&#061;640,  # \u8f93\u5165\u56fe\u50cf\u7684\u5c3a\u5bf8&#xff0c;\u6240\u6709\u8f93\u5165\u56fe\u50cf\u5c06\u88ab\u7f29\u653e\u5230 640&#215;640 \u50cf\u7d20<br \/>\n  scale&#061;0.5,  # \u6a21\u578b\u7f29\u653e\u56e0\u5b50&#xff0c;\u7528\u4e8e\u8c03\u6574\u6a21\u578b\u7684\u590d\u6742\u5ea6\u3002S:0.9; L:0.9; X:0.9&#xff0c;\u5bf9\u5e94\u4e8e\u4e0d\u540c\u89c4\u6a21\u6a21\u578b\u7684\u7f29\u653e\u56e0\u5b50\u3002\u6b64\u5904\u7684 0.5 \u9002\u7528\u4e8e Nano\u7248\u672c<br \/>\n  mosaic&#061;1.0,  # \u662f\u5426\u542f\u7528\u9a6c\u8d5b\u514b\u6570\u636e\u589e\u5f3a\u65b9\u6cd5&#xff0c;1.0\u8868\u793a\u542f\u7528&#xff0c;\u9a6c\u8d5b\u514b\u589e\u5f3a\u6709\u52a9\u4e8e\u589e\u5f3a\u6570\u636e\u591a\u6837\u6027<br \/>\n  mixup&#061;0.0,  # \u662f\u5426\u4f7f\u7528 mixup \u6570\u636e\u589e\u5f3a&#xff0c;mixup \u4f1a\u5c06\u4e24\u5f20\u56fe\u50cf\u6309\u4e00\u5b9a\u6bd4\u4f8b\u6df7\u5408\u30020.0 \u8868\u793a\u4e0d\u4f7f\u7528\u8be5\u589e\u5f3a\u65b9\u6cd5\u3002S:0.05; L:0.15; X:0.2<br \/>\n  copy_paste&#061;0.1,  # \u542f\u7528\u590d\u5236-\u7c98\u8d34\u589e\u5f3a&#xff0c;0.1 \u8868\u793a\u589e\u5f3a\u5f3a\u5ea6\u4e3a 10%&#xff0c;\u4f1a\u5c06\u4e00\u4e2a\u7269\u4f53\u4ece\u4e00\u5f20\u56fe\u7247\u590d\u5236\u5e76\u7c98\u8d34\u5230\u53e6\u4e00\u5f20\u56fe\u50cf\u4e2d\u3002S:0.15; L:0.5; X:0.6<br \/>\n  device&#061;&#034;0&#034;,  #  device&#061;&#034;0,1,2,3&#034;\u8bad\u7ec3\u65f6\u4f7f\u7528\u7684 GPU \u8bbe\u5907\u7f16\u53f7&#xff0c;\u8fd9\u91cc\u4f7f\u7528\u7f16\u53f7\u4e3a 0\u30011\u30012 \u548c 3 \u7684\u56db\u4e2a GPU \u8fdb\u884c\u8bad\u7ec3\u3002\u901a\u5e38\u8bbe\u7f6e\u4e3a0<br \/>\n)<\/p>\n<h3 id=\"3.2%20YOLOv13%E6%A8%A1%E5%9E%8B%E9%AA%8C%E8%AF%81%E4%BB%A3%E7%A0%81\" style=\"background-color:transparent\">5.2 YOLOv13\u6a21\u578b\u9a8c\u8bc1\u4ee3\u7801<\/h3>\n<p>\u81ea\u5df1\u521b\u5efa\u4e00\u4e2aval.py\u811a\u672c\u6587\u4ef6&#xff0c;\u628a\u4ee3\u7801\u7c98\u8d34\u8fdb\u53bb\u5c31\u597d\u4e86&#xff1a;<\/p>\n<p>from ultralytics import YOLO<br \/>\nimport warnings<br \/>\nwarnings.filterwarnings(&#039;ignore&#039;)<\/p>\n<p># \u6a21\u578b\u914d\u7f6e\u6587\u4ef6<br \/>\nmodel_yaml_path &#061; r&#034;E:\\\\yolo\\\\yolov13\\\\runs\\\\V13train\\\\exp\\\\weights\\\\best.pt&#034;<br \/>\n#\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6<br \/>\ndata_yaml_path &#061; r&#039;E:\\\\yolo\\\\yolov13\\\\datasets\\\\data.yaml&#039; #\u8fd9\u4e2a\u5c31\u662f\u6570\u636e\u96c6\u7684yaml\u6587\u4ef6\u7684\u8def\u5f84<\/p>\n<p>if __name__ &#061;&#061; &#039;__main__&#039;:<br \/>\n    model &#061; YOLO(model_yaml_path)<br \/>\n    model.val(data&#061;data_yaml_path,<br \/>\n              split&#061;&#039;val&#039;,<br \/>\n              imgsz&#061;640,<br \/>\n              batch&#061;4,<br \/>\n              project&#061;&#039;runs\/val&#039;,<br \/>\n              name&#061;&#039;exp&#039;<br \/>\n              ) <\/p>\n<h3 id=\"3.3%C2%A0YOLOv13%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E4%BB%A3%E7%A0%81\">5.3\u00a0YOLOv13\u6a21\u578b\u63a8\u7406\u4ee3\u7801<\/h3>\n<p>\u81ea\u5df1\u521b\u5efa\u4e00\u4e2apredict.py\u811a\u672c\u6587\u4ef6&#xff0c;\u628a\u4ee3\u7801\u7c98\u8d34\u8fdb\u53bb\u5c31\u597d\u4e86&#xff1a;<\/p>\n<p>from ultralytics import YOLO<br \/>\nif __name__ &#061;&#061; &#039;__main__&#039;:<br \/>\n    model &#061; YOLO(r&#039;E:\\\\yolo\\\\yolov13\\\\runs\\\\V11train\\\\exp43\\\\weights\\\\best.pt&#039;)#\u8bad\u7ec3\u597d\u7684\u6a21\u578b<br \/>\n    model.predict(source&#061;r&#039;E:\\\\yolo\\\\yolov13\\\\datasets\\\\demo\\\\images\\\\val&#039;,#\u53ef\u4ee5\u662f\u5355\u4e2a\u56fe\u7247&#xff0c;\u4e5f\u53ef\u4ee5\u662f\u56fe\u7247\u6587\u4ef6\u5939<br \/>\n                  project&#061;&#039;runs\/detect&#039;,<br \/>\n                  rect&#061;False,<br \/>\n                  name&#061;&#039;exp&#039;,<br \/>\n                  save&#061;True,<br \/>\n                ) <\/p>\n<h3 id=\"3.2%20%E6%A8%A1%E5%9E%8B%E5%A4%A7%E5%B0%8F%E9%80%89%E6%8B%A9\">5.4\u6a21\u578b\u5927\u5c0f\u9009\u62e9<\/h3>\n<p>model &#061; YOLO(&#034;yolov13n.pt&#034;)\u00a0\u8868\u793a\u4f7f\u7528\u7684\u662fv13n\u6a21\u578b\u6765\u8bad\u7ec3, <span style=\"color:#fe2c24\">\u56e0\u4e3a\u6211\u4eec\u81ea\u5df1\u9700\u8981\u6539\u8fdb\u521b\u65b0\u53d1\u8bba\u6587&#xff0c;\u901a\u5e38\u90fd\u4e0d\u4f1a\u4f7f\u7528\u8fd9\u79cd\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u7ee7\u7eed\u8bad\u7ec3&#xff0c;\u53ef\u4ee5\u9009\u62e9\u6027\u7684\u52a0\u8f7d\u5b98\u65b9\u6a21\u578b\u7684\u9884\u8bad\u7ec3\u6743\u91cd&#xff0c;\u5982\u679c\u6539\u52a8\u6bd4\u8f83\u5927\u5efa\u8bae\u5927\u5bb6\u81ea\u5df1\u91cd\u65b0\u8bad\u7ec3\u3002<\/span>\u5982\u679c\u60f3\u4f7f\u7528\u5176\u4ed6\u5927\u5c0f\u7684\u6a21\u578b&#xff0c;\u53ea\u9700\u8981\u628an\u6539\u4e3a\u5176\u4ed6\u5927\u5c0f\u7684\u5bf9\u5e94\u5b57\u6bcd\u5373\u53ef\u3002\u4f8b\u5982&#xff1a;<\/p>\n<p>model &#061; YOLO(&#034;yolov13n.pt&#034;)<br \/>\nmodel &#061; YOLO(&#034;yolov13s.pt&#034;)<br \/>\nmodel &#061; YOLO(&#034;yolov13l.pt&#034;)<br \/>\nmodel &#061; YOLO(&#034;yolov13x.pt&#034;) <\/p>\n<p>\u52a0\u8f7d\u5b98\u65b9\u9884\u8bad\u7ec3\u6743\u91cd\u53bb\u8bad\u7ec3\u65b9\u6cd5&#xff1a;<\/p>\n<p>from ultralytics import YOLO  # \u5bfc\u5165 YOLO \u7c7b&#xff0c;\u4ece ultralytics \u5e93\u4e2d\u52a0\u8f7d YOLO \u6a21\u578b<\/p>\n<p>model &#061; YOLO(&#039;yolov13n.yaml&#039;)  # \u521b\u5efa\u4e00\u4e2a YOLO \u6a21\u578b\u5b9e\u4f8b&#xff0c;\u52a0\u8f7d yolov13n.yaml \u914d\u7f6e\u6587\u4ef6&#xff08;Nano \u7248\u672c&#xff09;<\/p>\n<p># Train the model  # \u6ce8\u91ca&#xff1a;\u5f00\u59cb\u8bad\u7ec3\u6a21\u578b<br \/>\n  model.load(&#034;yolov13n.pt&#034;) # \u52a0\u8f7d\u9884\u8bad\u7ec3\u6743\u91cd<\/p>\n<p>results &#061; model.train(<br \/>\n  data&#061;&#039;coco.yaml&#039;,  # \u6307\u5b9a\u6570\u636e\u96c6\u7684\u914d\u7f6e\u6587\u4ef6&#xff0c;\u8fd9\u91cc\u4f7f\u7528\u7684\u662f coco.yaml \u914d\u7f6e\u6587\u4ef6&#xff0c;\u5305\u542b COCO \u6570\u636e\u96c6\u7684\u4fe1\u606f<br \/>\n  epochs&#061;600,  # \u8bad\u7ec3\u7684\u8f6e\u6570&#xff0c;\u6a21\u578b\u5c06\u8bad\u7ec3 600 \u4e2a\u5468\u671f<br \/>\n  batch&#061;256,  # \u6bcf\u6b21\u8bad\u7ec3\u7684\u6279\u6b21\u5927\u5c0f&#xff0c;\u6bcf\u6b21\u8bad\u7ec3\u4f1a\u7528\u5230 256 \u5f20\u56fe\u50cf<br \/>\n  imgsz&#061;640,  # \u8f93\u5165\u56fe\u50cf\u7684\u5c3a\u5bf8&#xff0c;\u6240\u6709\u8f93\u5165\u56fe\u50cf\u5c06\u88ab\u7f29\u653e\u5230 640&#215;640 \u50cf\u7d20<br \/>\n  scale&#061;0.5,  # \u6a21\u578b\u7f29\u653e\u56e0\u5b50&#xff0c;\u7528\u4e8e\u8c03\u6574\u6a21\u578b\u7684\u590d\u6742\u5ea6\u3002S:0.9; L:0.9; X:0.9&#xff0c;\u5bf9\u5e94\u4e8e\u4e0d\u540c\u89c4\u6a21\u6a21\u578b\u7684\u7f29\u653e\u56e0\u5b50\u3002\u6b64\u5904\u7684 0.5 \u9002\u7528\u4e8e Nano\u7248\u672c<br \/>\n  mosaic&#061;1.0,  # \u662f\u5426\u542f\u7528\u9a6c\u8d5b\u514b\u6570\u636e\u589e\u5f3a\u65b9\u6cd5&#xff0c;1.0\u8868\u793a\u542f\u7528&#xff0c;\u9a6c\u8d5b\u514b\u589e\u5f3a\u6709\u52a9\u4e8e\u589e\u5f3a\u6570\u636e\u591a\u6837\u6027<br \/>\n  mixup&#061;0.0,  # \u662f\u5426\u4f7f\u7528 mixup \u6570\u636e\u589e\u5f3a&#xff0c;mixup \u4f1a\u5c06\u4e24\u5f20\u56fe\u50cf\u6309\u4e00\u5b9a\u6bd4\u4f8b\u6df7\u5408\u30020.0 \u8868\u793a\u4e0d\u4f7f\u7528\u8be5\u589e\u5f3a\u65b9\u6cd5\u3002S:0.05; L:0.15; X:0.2<br \/>\n  copy_paste&#061;0.1,  # \u542f\u7528\u590d\u5236-\u7c98\u8d34\u589e\u5f3a&#xff0c;0.1 \u8868\u793a\u589e\u5f3a\u5f3a\u5ea6\u4e3a 10%&#xff0c;\u4f1a\u5c06\u4e00\u4e2a\u7269\u4f53\u4ece\u4e00\u5f20\u56fe\u7247\u590d\u5236\u5e76\u7c98\u8d34\u5230\u53e6\u4e00\u5f20\u56fe\u50cf\u4e2d\u3002S:0.15; L:0.5; X:0.6<br \/>\n  device&#061;&#034;0&#034;,  #  device&#061;&#034;0,1,2,3&#034;\u8bad\u7ec3\u65f6\u4f7f\u7528\u7684 GPU \u8bbe\u5907\u7f16\u53f7&#xff0c;\u8fd9\u91cc\u4f7f\u7528\u7f16\u53f7\u4e3a 0\u30011\u30012 \u548c 3 \u7684\u56db\u4e2a GPU \u8fdb\u884c\u8bad\u7ec3\u3002\u901a\u5e38\u8bbe\u7f6e\u4e3a0<br \/>\n)<\/p>\n<p>\u4e0d\u540c\u6a21\u578b\u53c2\u6570\u5927\u5c0f\u5982\u4e0b&#xff0c;v13<\/p>\n<p class=\"img-center\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"764\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141921-6899fbe9bf2da.png\" width=\"1053\" \/><\/p>\n<p>n\u662f\u53c2\u6570\u91cf\u6700\u5c0f\u7684\u6a21\u578b\u3002\u4e00\u822c\u60c5\u51b5\u4e0b&#xff0c;\u6a21\u578b\u8d8a\u5927&#xff0c;\u6700\u7ec8\u6a21\u578b\u7684\u6027\u80fd\u6548\u679c\u4e5f\u4f1a\u8d8a\u597d\u3002\u53ef\u6839\u636e\u81ea\u5df1\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u76f8\u5e94\u7684\u6a21\u578b\u5927\u5c0f\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n<p style=\"text-align:center\">\u00a0<img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"476\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250811141923-6899fbeb32dc6.png\" width=\"575\" \/><\/p>\n<h3 id=\"3.3%C2%A0%E8%AE%AD%E7%BB%83%E5%8F%82%E6%95%B0%E8%AE%BE%E7%BD%AE\" style=\"background-color:transparent\">5.5 \u8bad\u7ec3\u53c2\u6570\u8bbe\u7f6e<\/h3>\n<p>\u901a\u8fc7\u8fd0\u884cmodel.train(data&#061;&#034;data.yaml&#034;, epochs&#061;100, batch&#061;4)\u8bad\u7ec3v13\u6a21\u578b&#xff0c;\u5176\u4e2d(data&#061;&#034;data.yaml&#034;, epochs&#061;100, batch&#061;4)\u662f\u8bad\u7ec3\u8bbe\u7f6e\u7684\u53c2\u6570,\u6ca1\u6709\u6dfb\u52a0\u7684\u8bad\u7ec3\u53c2\u6570\u90fd\u662f\u4f7f\u7528\u7684\u9ed8\u8ba4\u503c\u3002\u5b98\u65b9\u5176\u5b9e\u7ed9\u51fa\u4e86\u5f88\u591a\u5176\u4ed6\u76f8\u5173\u53c2\u6570&#xff0c;\u8be6\u7ec6\u8bf4\u660e\u89c1\u4e0b\u6587\u3002<\/p>\n<p>\u5982\u679c\u6211\u4eec\u9700\u8981\u81ea\u5df1\u4fee\u6539\u5176\u4ed6\u8bad\u7ec3\u53c2\u6570&#xff0c;\u53ea\u9700\u8981\u5728train\u540e\u9762\u7684\u62ec\u53f7\u4e2d\u52a0\u5165\u76f8\u5e94\u7684\u53c2\u6570\u548c\u5177\u4f53\u503c\u5373\u53ef\u3002<\/p>\n<p>\u4f8b\u5982\u52a0\u4e0a\u6a21\u578b\u8bad\u7ec3\u4f18\u5316\u5668\u53c2\u6570optimizer,\u5176\u9ed8\u8ba4\u503c\u662fauto\u3002<\/p>\n<p>\u53ef\u8bbe\u7f6e\u7684\u503c\u4e3a&#xff1a;SGD, Adam, AdamW, NAdam, RAdam, RMSProp\u3002\u5e38\u7528SGD\u6216\u8005AdamW\u3002<\/p>\n<p>\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u5c06\u5176\u8bbe\u7f6e\u4e3aSGD&#xff0c;\u5199\u6cd5\u5982\u4e0b&#xff1a;<\/p>\n<p># \u6a21\u578b\u8bad\u7ec3&#xff0c;\u6dfb\u52a0\u6a21\u578b\u4f18\u5316\u5668\u8bbe\u7f6e<br \/>\nresults &#061; model.train(data&#061;&#034;data.yaml&#034;, epochs&#061;100, batch&#061;4, optimizer&#061;&#039;SGD&#039;) <\/p>\n<h3 id=\"3.4%20%E8%AE%AD%E7%BB%83%E5%8F%82%E6%95%B0%E8%AF%B4%E6%98%8E\">5.6 \u8bad\u7ec3\u53c2\u6570\u8bf4\u660e<\/h3>\n<p>YOLOv13 \u6a21\u578b\u7684\u8bad\u7ec3\u8bbe\u7f6e\u5305\u62ec\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u7684\u5404\u79cd\u8d85\u53c2\u6570\u548c\u914d\u7f6e\u3002\u8fd9\u4e9b\u8bbe\u7f6e\u4f1a\u5f71\u54cd\u6a21\u578b\u7684\u6027\u80fd\u3001\u901f\u5ea6\u548c\u51c6\u786e\u6027\u3002\u5173\u952e\u7684\u8bad\u7ec3\u8bbe\u7f6e\u5305\u62ec\u6279\u91cf\u5927\u5c0f\u3001\u5b66\u4e60\u7387\u3001\u52a8\u91cf\u548c\u6743\u91cd\u8870\u51cf\u3002\u6b64\u5916&#xff0c;\u4f18\u5316\u5668\u3001\u635f\u5931\u51fd\u6570\u548c\u8bad\u7ec3\u6570\u636e\u96c6\u7ec4\u6210\u7684\u9009\u62e9\u4e5f\u4f1a\u5f71\u54cd\u8bad\u7ec3\u8fc7\u7a0b\u3002\u5bf9\u8fd9\u4e9b\u8bbe\u7f6e\u8fdb\u884c\u4ed4\u7ec6\u7684\u8c03\u6574\u548c\u5b9e\u9a8c\u5bf9\u4e8e\u4f18\u5316\u6027\u80fd\u81f3\u5173\u91cd\u8981\u3002\u4ee5\u4e0b\u662f\u5b98\u65b9\u7ed9\u51fa\u4e86\u8bad\u7ec3\u53ef\u8bbe\u7f6e\u53c2\u6570\u548c\u8bf4\u660e:<\/p>\n<table border=\"1\" cellpadding=\"1\" cellspacing=\"1\">\n<tr>\u53c2\u6570\u9ed8\u8ba4\u503c\u8bf4\u660e<\/tr>\n<tbody>\n<tr>\n<td>model<\/td>\n<td>None<\/td>\n<td>\u6307\u5b9a\u7528\u4e8e\u8bad\u7ec3\u7684\u6a21\u578b\u6587\u4ef6\u3002\u63a5\u53d7\u6307\u5411\u00a0.pt\u00a0\u9884\u8bad\u7ec3\u6a21\u578b\u6216\u00a0.yaml\u00a0\u914d\u7f6e\u6587\u4ef6\u3002\u5bf9\u4e8e\u5b9a\u4e49\u6a21\u578b\u7ed3\u6784\u6216\u521d\u59cb\u5316\u6743\u91cd\u81f3\u5173\u91cd\u8981\u3002<\/td>\n<\/tr>\n<tr>\n<td>data<\/td>\n<td>None<\/td>\n<td>\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6\u7684\u8def\u5f84&#xff08;\u4f8b\u5982\u00a0coco8.yaml).\u8be5\u6587\u4ef6\u5305\u542b\u7279\u5b9a\u4e8e\u6570\u636e\u96c6\u7684\u53c2\u6570&#xff0c;\u5305\u62ec\u8bad\u7ec3\u6570\u636e\u548c\u9a8c\u8bc1\u6570\u636e\u7684\u8def\u5f84\u3001\u7c7b\u540d\u548c\u7c7b\u6570\u3002<\/td>\n<\/tr>\n<tr>\n<td>epochs<\/td>\n<td>100<\/td>\n<td>\u8bad\u7ec3\u603b\u8f6e\u6570\u3002\u6bcf\u4e2aepoch\u4ee3\u8868\u5bf9\u6574\u4e2a\u6570\u636e\u96c6\u8fdb\u884c\u4e00\u6b21\u5b8c\u6574\u7684\u8bad\u7ec3\u3002\u8c03\u6574\u8be5\u503c\u4f1a\u5f71\u54cd\u8bad\u7ec3\u65f6\u95f4\u548c\u6a21\u578b\u6027\u80fd\u3002<\/td>\n<\/tr>\n<tr>\n<td>time<\/td>\n<td>None<\/td>\n<td>\u6700\u957f\u8bad\u7ec3\u65f6\u95f4&#xff08;\u5c0f\u65f6&#xff09;\u3002\u5982\u679c\u8bbe\u7f6e\u4e86\u8be5\u503c&#xff0c;\u5219\u4f1a\u8986\u76d6\u00a0epochs\u00a0\u53c2\u6570&#xff0c;\u5141\u8bb8\u8bad\u7ec3\u5728\u6307\u5b9a\u7684\u6301\u7eed\u65f6\u95f4\u540e\u81ea\u52a8\u505c\u6b62\u3002\u5bf9\u4e8e\u65f6\u95f4\u6709\u9650\u7684\u8bad\u7ec3\u573a\u666f\u975e\u5e38\u6709\u7528\u3002<\/td>\n<\/tr>\n<tr>\n<td>patience<\/td>\n<td>100<\/td>\n<td>\u5728\u9a8c\u8bc1\u6307\u6807\u6ca1\u6709\u6539\u5584\u7684\u60c5\u51b5\u4e0b&#xff0c;\u63d0\u524d\u505c\u6b62\u8bad\u7ec3\u6240\u9700\u7684epoch\u6570\u3002\u5f53\u6027\u80fd\u8d8b\u4e8e\u5e73\u7a33\u65f6\u505c\u6b62\u8bad\u7ec3&#xff0c;\u6709\u52a9\u4e8e\u9632\u6b62\u8fc7\u5ea6\u62df\u5408\u3002<\/td>\n<\/tr>\n<tr>\n<td>batch<\/td>\n<td>16<\/td>\n<td>\u6279\u91cf\u5927\u5c0f&#xff0c;\u6709\u4e09\u79cd\u6a21\u5f0f:\u8bbe\u7f6e\u4e3a\u6574\u6570(\u4f8b\u5982&#xff0c;&#039; Batch &#061;16 &#039;)&#xff0c; 60% GPU\u5185\u5b58\u5229\u7528\u7387\u7684\u81ea\u52a8\u6a21\u5f0f(&#039; Batch &#061;-1 &#039;)&#xff0c;\u6216\u6307\u5b9a\u5229\u7528\u7387\u5206\u6570\u7684\u81ea\u52a8\u6a21\u5f0f(&#039; Batch &#061;0.70 &#039;)\u3002<\/td>\n<\/tr>\n<tr>\n<td>imgsz<\/td>\n<td>640<\/td>\n<td>\u7528\u4e8e\u8bad\u7ec3\u7684\u76ee\u6807\u56fe\u50cf\u5c3a\u5bf8\u3002\u6240\u6709\u56fe\u50cf\u5728\u8f93\u5165\u6a21\u578b\u524d\u90fd\u4f1a\u88ab\u8c03\u6574\u5230\u8fd9\u4e00\u5c3a\u5bf8\u3002\u5f71\u54cd\u6a21\u578b\u7cbe\u5ea6\u548c\u8ba1\u7b97\u590d\u6742\u5ea6\u3002<\/td>\n<\/tr>\n<tr>\n<td>save<\/td>\n<td>True<\/td>\n<td>\u53ef\u4fdd\u5b58\u8bad\u7ec3\u68c0\u67e5\u70b9\u548c\u6700\u7ec8\u6a21\u578b\u6743\u91cd\u3002\u8fd9\u5bf9\u6062\u590d\u8bad\u7ec3\u6216\u6a21\u578b\u90e8\u7f72\u975e\u5e38\u6709\u7528\u3002<\/td>\n<\/tr>\n<tr>\n<td>save_period<\/td>\n<td>-1<\/td>\n<td>\u4fdd\u5b58\u6a21\u578b\u68c0\u67e5\u70b9\u7684\u9891\u7387&#xff0c;\u4ee5 epochs \u4e3a\u5355\u4f4d\u3002\u503c\u4e3a-1 \u65f6\u5c06\u7981\u7528\u6b64\u529f\u80fd\u3002\u8be5\u529f\u80fd\u9002\u7528\u4e8e\u5728\u957f\u65f6\u95f4\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4fdd\u5b58\u4e34\u65f6\u6a21\u578b\u3002<\/td>\n<\/tr>\n<tr>\n<td>cache<\/td>\n<td>False<\/td>\n<td>\u5728\u5185\u5b58\u4e2d\u7f13\u5b58\u6570\u636e\u96c6\u56fe\u50cf (True\/ram&#xff09;\u3001\u78c1\u76d8 (disk&#xff09;&#xff0c;\u6216\u7981\u7528\u5b83 (False).\u901a\u8fc7\u51cf\u5c11\u78c1\u76d8 I\/O \u63d0\u9ad8\u8bad\u7ec3\u901f\u5ea6&#xff0c;\u4f46\u4ee3\u4ef7\u662f\u589e\u52a0\u5185\u5b58\u4f7f\u7528\u91cf\u3002<\/td>\n<\/tr>\n<tr>\n<td>device<\/td>\n<td>None<\/td>\n<td>\u6307\u5b9a\u7528\u4e8e\u8bad\u7ec3\u7684\u8ba1\u7b97\u8bbe\u5907&#xff1a;\u5355\u4e2a GPU (device&#061;0&#xff09;\u3001\u591a\u4e2a GPU (device&#061;0,1)\u3001CPU (device&#061;cpu)&#xff0c;\u6216\u82f9\u679c\u82af\u7247\u7684 MPS (device&#061;mps).<\/td>\n<\/tr>\n<tr>\n<td>workers<\/td>\n<td>8<\/td>\n<td>\u52a0\u8f7d\u6570\u636e\u7684\u5de5\u4f5c\u7ebf\u7a0b\u6570&#xff08;\u6bcf\u00a0RANK\u00a0\u591a GPU \u8bad\u7ec3&#xff09;\u3002\u5f71\u54cd\u6570\u636e\u9884\u5904\u7406\u548c\u8f93\u5165\u6a21\u578b\u7684\u901f\u5ea6&#xff0c;\u5c24\u5176\u9002\u7528\u4e8e\u591a GPU \u8bbe\u7f6e\u3002<\/td>\n<\/tr>\n<tr>\n<td>project<\/td>\n<td>None<\/td>\n<td>\u4fdd\u5b58\u8bad\u7ec3\u7ed3\u679c\u7684\u9879\u76ee\u76ee\u5f55\u540d\u79f0\u3002\u5141\u8bb8\u6709\u7ec4\u7ec7\u5730\u5b58\u50a8\u4e0d\u540c\u7684\u5b9e\u9a8c\u3002<\/td>\n<\/tr>\n<tr>\n<td>name<\/td>\n<td>None<\/td>\n<td>\u8bad\u7ec3\u8fd0\u884c\u7684\u540d\u79f0\u3002\u7528\u4e8e\u5728\u9879\u76ee\u6587\u4ef6\u5939\u5185\u521b\u5efa\u4e00\u4e2a\u5b50\u76ee\u5f55&#xff0c;\u7528\u4e8e\u5b58\u50a8\u8bad\u7ec3\u65e5\u5fd7\u548c\u8f93\u51fa\u7ed3\u679c\u3002<\/td>\n<\/tr>\n<tr>\n<td>exist_ok<\/td>\n<td>False<\/td>\n<td>\u5982\u679c\u4e3a True&#xff0c;\u5219\u5141\u8bb8\u8986\u76d6\u73b0\u6709\u7684\u9879\u76ee\/\u540d\u79f0\u76ee\u5f55\u3002\u8fd9\u5bf9\u8fed\u4ee3\u5b9e\u9a8c\u975e\u5e38\u6709\u7528&#xff0c;\u65e0\u9700\u624b\u52a8\u6e05\u9664\u4e4b\u524d\u7684\u8f93\u51fa\u3002<\/td>\n<\/tr>\n<tr>\n<td>pretrained<\/td>\n<td>True<\/td>\n<td>\u51b3\u5b9a\u662f\u5426\u4ece\u9884\u5904\u7406\u6a21\u578b\u5f00\u59cb\u8bad\u7ec3\u3002\u53ef\u4ee5\u662f\u5e03\u5c14\u503c&#xff0c;\u4e5f\u53ef\u4ee5\u662f\u52a0\u8f7d\u6743\u91cd\u7684\u7279\u5b9a\u6a21\u578b\u7684\u5b57\u7b26\u4e32\u8def\u5f84\u3002\u63d0\u9ad8\u8bad\u7ec3\u6548\u7387\u548c\u6a21\u578b\u6027\u80fd\u3002<\/td>\n<\/tr>\n<tr>\n<td>optimizer<\/td>\n<td>&#039;auto&#039;<\/td>\n<td>\u4e3a\u8bad\u7ec3\u6a21\u578b\u9009\u62e9\u4f18\u5316\u5668\u3002\u9009\u9879\u5305\u62ec\u00a0SGD,\u00a0Adam,\u00a0AdamW,\u00a0NAdam,\u00a0RAdam,\u00a0RMSProp\u00a0\u7b49&#xff0c;\u6216\u00a0auto\u00a0\u7528\u4e8e\u6839\u636e\u6a21\u578b\u914d\u7f6e\u8fdb\u884c\u81ea\u52a8\u9009\u62e9\u3002\u5f71\u54cd\u6536\u655b\u901f\u5ea6\u548c\u7a33\u5b9a\u6027<\/td>\n<\/tr>\n<tr>\n<td>verbose<\/td>\n<td>False<\/td>\n<td>\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u542f\u7528\u5197\u957f\u8f93\u51fa&#xff0c;\u63d0\u4f9b\u8be6\u7ec6\u65e5\u5fd7\u548c\u8fdb\u5ea6\u66f4\u65b0\u3002\u6709\u52a9\u4e8e\u8c03\u8bd5\u548c\u5bc6\u5207\u76d1\u63a7\u57f9\u8bad\u8fc7\u7a0b\u3002<\/td>\n<\/tr>\n<tr>\n<td>seed<\/td>\n<td>0<\/td>\n<td>\u4e3a\u8bad\u7ec3\u8bbe\u7f6e\u968f\u673a\u79cd\u5b50&#xff0c;\u786e\u4fdd\u5728\u76f8\u540c\u914d\u7f6e\u4e0b\u8fd0\u884c\u7684\u7ed3\u679c\u5177\u6709\u53ef\u91cd\u590d\u6027\u3002<\/td>\n<\/tr>\n<tr>\n<td>deterministic<\/td>\n<td>True<\/td>\n<td>\u5f3a\u5236\u4f7f\u7528\u786e\u5b9a\u6027\u7b97\u6cd5&#xff0c;\u786e\u4fdd\u53ef\u91cd\u590d\u6027&#xff0c;\u4f46\u7531\u4e8e\u5bf9\u975e\u786e\u5b9a\u6027\u7b97\u6cd5\u7684\u9650\u5236&#xff0c;\u53ef\u80fd\u4f1a\u5f71\u54cd\u6027\u80fd\u548c\u901f\u5ea6\u3002<\/td>\n<\/tr>\n<tr>\n<td>single_cls<\/td>\n<td>False<\/td>\n<td>\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5c06\u591a\u7c7b\u6570\u636e\u96c6\u4e2d\u7684\u6240\u6709\u7c7b\u522b\u89c6\u4e3a\u5355\u4e00\u7c7b\u522b\u3002\u9002\u7528\u4e8e\u4e8c\u5143\u5206\u7c7b\u4efb\u52a1&#xff0c;\u6216\u4fa7\u91cd\u4e8e\u5bf9\u8c61\u7684\u5b58\u5728\u800c\u975e\u5206\u7c7b\u3002<\/td>\n<\/tr>\n<tr>\n<td>rect<\/td>\n<td>False<\/td>\n<td>\u53ef\u8fdb\u884c\u77e9\u5f62\u8bad\u7ec3&#xff0c;\u4f18\u5316\u6279\u6b21\u7ec4\u6210\u4ee5\u51cf\u5c11\u586b\u5145\u3002\u8fd9\u53ef\u4ee5\u63d0\u9ad8\u6548\u7387\u548c\u901f\u5ea6&#xff0c;\u4f46\u53ef\u80fd\u4f1a\u5f71\u54cd\u6a21\u578b\u7684\u51c6\u786e\u6027\u3002<\/td>\n<\/tr>\n<tr>\n<td>cos_lr<\/td>\n<td>False<\/td>\n<td>\u5229\u7528\u4f59\u5f26\u5b66\u4e60\u7387\u8c03\u5ea6\u5668&#xff0c;\u6839\u636e\u5386\u65f6\u7684\u4f59\u5f26\u66f2\u7ebf\u8c03\u6574\u5b66\u4e60\u7387\u3002\u8fd9\u6709\u52a9\u4e8e\u7ba1\u7406\u5b66\u4e60\u7387&#xff0c;\u5b9e\u73b0\u66f4\u597d\u7684\u6536\u655b\u3002<\/td>\n<\/tr>\n<tr>\n<td>close_mosaic<\/td>\n<td>10<\/td>\n<td>\u5728\u8bad\u7ec3\u5b8c\u6210\u524d\u7981\u7528\u6700\u540e N \u4e2aepoch\u7684\u9a6c\u8d5b\u514b\u6570\u636e\u589e\u5f3a\u4ee5\u7a33\u5b9a\u8bad\u7ec3\u3002\u8bbe\u7f6e\u4e3a 0 \u5219\u7981\u7528\u6b64\u529f\u80fd\u3002<\/td>\n<\/tr>\n<tr>\n<td>resume<\/td>\n<td>False<\/td>\n<td>\u4ece\u4e0a\u6b21\u4fdd\u5b58\u7684\u68c0\u67e5\u70b9\u6062\u590d\u8bad\u7ec3\u3002\u81ea\u52a8\u52a0\u8f7d\u6a21\u578b\u6743\u91cd\u3001\u4f18\u5316\u5668\u72b6\u6001\u548c\u5386\u65f6\u8ba1\u6570&#xff0c;\u65e0\u7f1d\u7ee7\u7eed\u8bad\u7ec3\u3002<\/td>\n<\/tr>\n<tr>\n<td>amp<\/td>\n<td>True<\/td>\n<td>\u542f\u7528\u81ea\u52a8\u6df7\u5408\u7cbe\u5ea6 (AMP) \u8bad\u7ec3&#xff0c;\u53ef\u51cf\u5c11\u5185\u5b58\u4f7f\u7528\u91cf\u5e76\u52a0\u5feb\u8bad\u7ec3\u901f\u5ea6&#xff0c;\u540c\u65f6\u5c06\u5bf9\u7cbe\u5ea6\u7684\u5f71\u54cd\u964d\u81f3\u6700\u4f4e\u3002<\/td>\n<\/tr>\n<tr>\n<td>fraction<\/td>\n<td>1.0<\/td>\n<td>\u6307\u5b9a\u7528\u4e8e\u8bad\u7ec3\u7684\u6570\u636e\u96c6\u7684\u90e8\u5206\u3002\u5141\u8bb8\u5728\u5b8c\u6574\u6570\u636e\u96c6\u7684\u5b50\u96c6\u4e0a\u8fdb\u884c\u8bad\u7ec3&#xff0c;\u8fd9\u5bf9\u5b9e\u9a8c\u6216\u8d44\u6e90\u6709\u9650\u7684\u60c5\u51b5\u975e\u5e38\u6709\u7528\u3002<\/td>\n<\/tr>\n<tr>\n<td>profile<\/td>\n<td>False<\/td>\n<td>\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d&#xff0c;\u53ef\u5bf9ONNX \u548cTensorRT \u901f\u5ea6\u8fdb\u884c\u5256\u6790&#xff0c;\u6709\u52a9\u4e8e\u4f18\u5316\u6a21\u578b\u90e8\u7f72\u3002<\/td>\n<\/tr>\n<tr>\n<td>freeze<\/td>\n<td>None<\/td>\n<td>\u51bb\u7ed3\u6a21\u578b\u7684\u524d N \u5c42\u6216\u6309\u7d22\u5f15\u6307\u5b9a\u7684\u5c42&#xff0c;\u4ece\u800c\u51cf\u5c11\u53ef\u8bad\u7ec3\u53c2\u6570\u7684\u6570\u91cf\u3002\u8fd9\u5bf9\u5fae\u8c03\u6216\u8fc1\u79fb\u5b66\u4e60\u975e\u5e38\u6709\u7528\u3002<\/td>\n<\/tr>\n<tr>\n<td>lr0<\/td>\n<td>0.01<\/td>\n<td>\u521d\u59cb\u5b66\u4e60\u7387&#xff08;\u5373\u00a0SGD&#061;1E-2,\u00a0Adam&#061;1E-3) .\u8c03\u6574\u8fd9\u4e2a\u503c\u5bf9\u4f18\u5316\u8fc7\u7a0b\u81f3\u5173\u91cd\u8981&#xff0c;\u4f1a\u5f71\u54cd\u6a21\u578b\u6743\u91cd\u7684\u66f4\u65b0\u901f\u5ea6\u3002<\/td>\n<\/tr>\n<tr>\n<td>lrf<\/td>\n<td>0.01<\/td>\n<td>\u6700\u7ec8\u5b66\u4e60\u7387\u5360\u521d\u59cb\u5b66\u4e60\u7387\u7684\u767e\u5206\u6bd4 &#061; (lr0 * lrf)&#xff0c;\u4e0e\u8c03\u5ea6\u7a0b\u5e8f\u7ed3\u5408\u4f7f\u7528&#xff0c;\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u8c03\u6574\u5b66\u4e60\u7387\u3002<\/td>\n<\/tr>\n<tr>\n<td>momentum<\/td>\n<td>0.937<\/td>\n<td>\u7528\u4e8e SGD \u7684\u52a8\u91cf\u56e0\u5b50&#xff0c;\u6216\u7528\u4e8e Adam \u4f18\u5316\u5668\u7684 beta1&#xff0c;\u7528\u4e8e\u5c06\u8fc7\u53bb\u7684\u68af\u5ea6\u7eb3\u5165\u5f53\u524d\u66f4\u65b0\u3002<\/td>\n<\/tr>\n<tr>\n<td>weight_decay<\/td>\n<td>0.0005<\/td>\n<td>L2 \u6b63\u5219\u5316\u9879&#xff0c;\u5bf9\u5927\u6743\u91cd\u8fdb\u884c\u60e9\u7f5a&#xff0c;\u4ee5\u9632\u6b62\u8fc7\u5ea6\u62df\u5408\u3002<\/td>\n<\/tr>\n<tr>\n<td>warmup_epochs<\/td>\n<td>3.0<\/td>\n<td>\u5b66\u4e60\u7387\u9884\u70ed\u7684\u5386\u5143\u6570&#xff0c;\u5b66\u4e60\u7387\u4ece\u4f4e\u503c\u9010\u6e10\u589e\u52a0\u5230\u521d\u59cb\u5b66\u4e60\u7387&#xff0c;\u4ee5\u5728\u65e9\u671f\u7a33\u5b9a\u8bad\u7ec3\u3002<\/td>\n<\/tr>\n<tr>\n<td>warmup_momentum<\/td>\n<td>0.8<\/td>\n<td>\u70ed\u8eab\u9636\u6bb5\u7684\u521d\u59cb\u52a8\u529b&#xff0c;\u5728\u70ed\u8eab\u671f\u95f4\u9010\u6e10\u8c03\u6574\u5230\u8bbe\u5b9a\u52a8\u529b\u3002<\/td>\n<\/tr>\n<tr>\n<td>warmup_bias_lr<\/td>\n<td>0.1<\/td>\n<td>\u70ed\u8eab\u9636\u6bb5\u7684\u504f\u7f6e\u53c2\u6570\u5b66\u4e60\u7387&#xff0c;\u6709\u52a9\u4e8e\u7a33\u5b9a\u521d\u59cb\u5386\u5143\u7684\u6a21\u578b\u8bad\u7ec3\u3002<\/td>\n<\/tr>\n<tr>\n<td>box<\/td>\n<td>7.5<\/td>\n<td>\u635f\u5931\u51fd\u6570\u4e2d\u8fb9\u6846\u635f\u5931\u90e8\u5206\u7684\u6743\u91cd&#xff0c;\u5f71\u54cd\u5bf9\u51c6\u786e\u9884\u6d4b\u8fb9\u6846\u5750\u6807\u7684\u91cd\u89c6\u7a0b\u5ea6\u3002<\/td>\n<\/tr>\n<tr>\n<td>cls<\/td>\n<td>0.5<\/td>\n<td>\u5206\u7c7b\u635f\u5931\u5728\u603b\u635f\u5931\u51fd\u6570\u4e2d\u7684\u6743\u91cd&#xff0c;\u5f71\u54cd\u6b63\u786e\u5206\u7c7b\u9884\u6d4b\u76f8\u5bf9\u4e8e\u5176\u4ed6\u90e8\u5206\u7684\u91cd\u8981\u6027\u3002<\/td>\n<\/tr>\n<tr>\n<td>dfl<\/td>\n<td>1.5<\/td>\n<td>\u5206\u5e03\u7126\u70b9\u635f\u5931\u6743\u91cd&#xff0c;\u5728\u67d0\u4e9bYOLO 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