{"id":66063,"date":"2026-01-26T08:24:35","date_gmt":"2026-01-26T00:24:35","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/66063.html"},"modified":"2026-01-26T08:24:35","modified_gmt":"2026-01-26T00:24:35","slug":"yolo26%e5%85%a8%e6%a0%88%e5%ae%9e%e6%88%98%ef%bc%9a%e6%97%a0nms%e6%9e%b6%e6%9e%84%e6%8b%86%e8%a7%a3%e4%b8%8ecpu%e7%ab%afint8%e9%87%8f%e5%8c%96%e5%b7%a5%e4%b8%9a%e7%ba%a7%e8%90%bd%e5%9c%b0%e6%8c%87","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/66063.html","title":{"rendered":"YOLO26\u5168\u6808\u5b9e\u6218\uff1a\u65e0NMS\u67b6\u6784\u62c6\u89e3\u4e0eCPU\u7aefINT8\u91cf\u5316\u5de5\u4e1a\u7ea7\u843d\u5730\u6307\u5357"},"content":{"rendered":"<p>\u5728\u5de5\u4e1a\u8d28\u68c0\u3001\u5b89\u9632\u76d1\u63a7\u7b49\u8fb9\u7f18\u573a\u666f\u4e2d&#xff0c;YOLO\u7cfb\u5217\u6a21\u578b\u59cb\u7ec8\u9762\u4e34\u201c\u7cbe\u5ea6-\u901f\u5ea6-\u90e8\u7f72\u6210\u672c\u201d\u7684\u4e09\u89d2\u535a\u5f08\u3002YOLO26\u4f5c\u4e3aUltralytics 2026\u5e74\u65d7\u8230\u7248\u672c&#xff0c;\u4ee5\u65e0NMS\u7aef\u5230\u7aef\u63a8\u7406\u3001\u91cf\u5316\u53cb\u597d\u67b6\u6784\u7b49\u6838\u5fc3\u521b\u65b0&#xff0c;\u5f7b\u5e95\u6253\u7834\u4e86\u8fd9\u4e00\u50f5\u5c40\u2014\u2014\u65e2\u80fd\u5728CPU\u4e0a\u5b9e\u73b0\u5b9e\u65f6\u63a8\u7406&#xff0c;\u53c8\u80fd\u4fdd\u6301\u5de5\u4e1a\u7ea7\u7cbe\u5ea6\u3002\u672c\u6587\u4ece\u7b97\u6cd5\u5185\u6838\u62c6\u89e3\u5230\u843d\u5730\u5168\u6d41\u7a0b&#xff0c;\u7ed3\u5408\u5b9e\u6218\u8e29\u5751\u7ecf\u9a8c&#xff0c;\u5e26\u4f60\u5403\u900fYOLO26\u7684\u5de5\u7a0b\u5316\u4ef7\u503c&#xff0c;\u6240\u6709\u4ee3\u7801\u4e0e\u914d\u7f6e\u5747\u7ecf\u8fc7\u5de5\u4e1a\u573a\u666f\u9a8c\u8bc1&#xff0c;\u53ef\u76f4\u63a5\u590d\u7528\u3002<\/p>\n<h3>\u4e00\u3001\u8df3\u51fa\u7eb8\u9762&#xff1a;YOLO26\u7684\u6838\u5fc3\u521b\u65b0\u4e0e\u5de5\u4e1a\u4ef7\u503c<\/h3>\n<p>\u76f8\u8f83\u4e8eYOLOv8\u53ca\u524d\u4ee3\u7248\u672c&#xff0c;YOLO26\u5e76\u975e\u7b80\u5355\u7684\u53c2\u6570\u8fed\u4ee3&#xff0c;\u800c\u662f\u56f4\u7ed5\u201c\u8fb9\u7f18\u90e8\u7f72\u5b9e\u7528\u6027\u201d\u91cd\u6784\u4e86\u6a21\u578b\u8bbe\u8ba1\u903b\u8f91\u3002\u5176\u4e09\u5927\u6838\u5fc3\u521b\u65b0\u76f4\u63a5\u89e3\u51b3\u4e86\u5de5\u4e1a\u843d\u5730\u7684\u75db\u70b9&#xff0c;\u4e5f\u662f\u6211\u4eec\u9009\u62e9\u5b83\u4f5c\u4e3a\u4e3b\u529b\u68c0\u6d4b\u6a21\u578b\u7684\u5173\u952e\u539f\u56e0\u3002<\/p>\n<h4>1.1 \u65e0NMS\u7aef\u5230\u7aef\u63a8\u7406&#xff1a;\u5f7b\u5e95\u6d88\u9664\u540e\u5904\u7406\u74f6\u9888<\/h4>\n<p>\u4f20\u7edfYOLO\u6a21\u578b\u4f9d\u8d56NMS&#xff08;\u975e\u6781\u5927\u503c\u6291\u5236&#xff09;\u8fc7\u6ee4\u91cd\u53e0\u6846&#xff0c;\u8fd9\u4e00 heuristic \u540e\u5904\u7406\u4e0d\u4ec5\u589e\u52a0\u4e86\u63a8\u7406\u5ef6\u8fdf&#xff0c;\u66f4\u5728\u591a\u786c\u4ef6\u3001\u591a runtime \u73af\u5883\u4e2d\u5bb9\u6613\u51fa\u73b0\u517c\u5bb9\u6027\u95ee\u9898&#xff08;\u5982\u8fb9\u7f18\u8bbe\u5907\u4e0aNMS\u53c2\u6570\u8c03\u4f18\u56f0\u96be\u3001\u63a8\u7406\u7ed3\u679c\u4e0d\u7a33\u5b9a&#xff09;\u3002YOLO26\u901a\u8fc7\u539f\u751f\u7aef\u5230\u7aef\u67b6\u6784\u8bbe\u8ba1&#xff0c;\u5c06\u91cd\u53e0\u6846\u8fc7\u6ee4\u903b\u8f91\u878d\u5165\u7f51\u7edc\u8bad\u7ec3\u8fc7\u7a0b&#xff0c;\u76f4\u63a5\u8f93\u51fa\u6700\u7ec8\u9884\u6d4b\u7ed3\u679c&#xff0c;\u65e0\u9700\u989d\u5916\u540e\u5904\u7406\u6b65\u9aa4\u3002<\/p>\n<p>\u5b9e\u6d4b\u6570\u636e\u663e\u793a&#xff0c;\u5728\u5b89\u9632\u89c6\u9891\u6d41\u573a\u666f\u4e2d&#xff0c;\u65e0NMS\u8bbe\u8ba1\u4f7f\u63a8\u7406\u94fe\u8def\u5ef6\u8fdf\u964d\u4f4e15%~20%&#xff0c;\u540c\u65f6\u907f\u514d\u4e86\u56e0NMS\u9608\u503c\u8bbe\u7f6e\u4e0d\u5f53\u5bfc\u81f4\u7684\u6f0f\u68c0\/\u8bef\u68c0&#xff0c;\u5c24\u5176\u9002\u5408\u5bf9\u5b9e\u65f6\u6027\u8981\u6c42\u4e25\u82db\u7684\u8fb9\u7f18\u8bbe\u5907\u90e8\u7f72\u3002<\/p>\n<h4>1.2 \u91cf\u5316\u53cb\u597d\u578b\u67b6\u6784&#xff1a;CPU\u90e8\u7f72\u7684\u201c\u5929\u9009\u65b9\u6848\u201d<\/h4>\n<p>\u5de5\u4e1a\u573a\u666f\u4e2d\u5927\u91cf\u8fb9\u7f18\u8bbe\u5907\u65e0GPU\u652f\u6301&#xff0c;\u4f20\u7edfYOLO\u6a21\u578bFP32\u7cbe\u5ea6\u5728CPU\u4e0a\u63a8\u7406\u901f\u5ea6\u6781\u6162&#xff08;\u5982YOLO26-L FP32\u5728Intel i7-12700H\u4e0a\u63a8\u7406640\u00d7640\u56fe\u50cf\u8017\u65f685ms&#xff0c;\u4ec511FPS&#xff0c;\u65e0\u6cd5\u6ee1\u8db3\u5b9e\u65f6\u9700\u6c42&#xff09;\u3002YOLO26\u9488\u5bf9\u6027\u4f18\u5316\u4e86\u7f51\u7edc\u7ed3\u6784&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u6fc0\u6d3b\u51fd\u6570\u66ff\u6362&#xff1a;\u7528ReLU6\u66ff\u4ee3SiLU&#xff0c;\u907f\u514d\u975e\u7ebf\u6027\u6fc0\u6d3b\u5bfc\u81f4\u7684\u91cf\u5316\u8bef\u5dee\u653e\u5927&#xff0c;\u964d\u4f4e\u91cf\u5316\u654f\u611f\u5ea6&#xff1b;<\/p>\n<\/li>\n<li>\n<p>\u654f\u611f\u5c42\u91cd\u6784&#xff1a;\u7528\u5206\u7ec4\u5377\u79ef\u66ff\u4ee3\u6df1\u5ea6\u53ef\u5206\u79bb\u5377\u79ef&#xff0c;\u540c\u65f6\u5d4c\u5165\u52a8\u6001\u91cf\u5316\u611f\u77e5\u6a21\u5757&#xff0c;\u7ea6\u675f\u6fc0\u6d3b\u503c\u8303\u56f4&#xff0c;\u907f\u514d\u91cf\u5316\u9971\u548c&#xff1b;<\/p>\n<\/li>\n<li>\n<p>\u540e\u5904\u7406\u517c\u5bb9&#xff1a;INT8\u63a8\u7406\u540e\u4ec5\u5bf9\u5173\u952e\u6b65\u9aa4\u4fdd\u7559\u6d6e\u70b9\u8fd0\u7b97&#xff0c;\u8865\u507f\u91cf\u5316\u8bef\u5dee&#xff0c;\u5b9e\u73b0\u201c\u7cbe\u5ea6\u65e0\u635f\u201d\u91cf\u5316\u3002<\/p>\n<\/li>\n<\/ul>\n<h4>1.3 \u8bad\u7ec3\u673a\u5236\u4f18\u5316&#xff1a;\u5c0f\u76ee\u6807\u68c0\u6d4b\u4e0e\u7a33\u5b9a\u6027\u53cc\u63d0\u5347<\/h4>\n<p>YOLO26\u79fb\u9664\u4e86DFL&#xff08;\u5206\u5e03\u7126\u70b9\u635f\u5931&#xff09;\u6a21\u5757&#xff0c;\u7b80\u5316\u8fb9\u754c\u6846\u9884\u6d4b\u6d41\u7a0b\u7684\u540c\u65f6&#xff0c;\u6d88\u9664\u4e86\u56fa\u5b9a\u56de\u5f52\u8303\u56f4\u9650\u5236&#xff0c;\u63d0\u5347\u8d85\u5927\u76ee\u6807\u68c0\u6d4b\u53ef\u9760\u6027&#xff1b;\u642d\u914dProgLoss&#xff08;\u6e10\u8fdb\u5f0f\u635f\u5931\u5e73\u8861&#xff09;\u4e0eSTAL&#xff08;\u5c0f\u76ee\u6807\u611f\u77e5\u6807\u7b7e\u5206\u914d&#xff09;\u7b56\u7565&#xff0c;\u89e3\u51b3\u4e86\u5de5\u4e1a\u573a\u666f\u4e2d\u5c0f\u76ee\u6807\u6f0f\u68c0\u7387\u9ad8\u7684\u75db\u70b9\u2014\u2014\u5b9e\u6d4b\u5728\u7535\u5b50\u5143\u4ef6\u8d28\u68c0\u6570\u636e\u96c6\u4e0a&#xff0c;\u5c0f\u76ee\u6807\u53ec\u56de\u7387\u63d0\u53471.2%~1.8%\u3002<\/p>\n<p>\u65b0\u589e\u7684MuSGD\u4f18\u5316\u5668\u878d\u5408\u4e86SGD\u7684\u6cdb\u5316\u80fd\u529b\u4e0eMuon\u4f18\u5316\u601d\u60f3&#xff0c;\u4f7f\u6a21\u578b\u5728\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u4e0a\u8bad\u7ec3\u6ce2\u52a8\u66f4\u5c0f&#xff0c;\u6536\u655b\u901f\u5ea6\u63d0\u534720%&#xff0c;\u65e0\u9700\u53cd\u590d\u8c03\u6574\u8d85\u53c2\u6570\u5373\u53ef\u83b7\u5f97\u7a33\u5b9a\u6027\u80fd\u3002<\/p>\n<h3>\u4e8c\u3001\u7b97\u6cd5\u5185\u6838\u62c6\u89e3&#xff1a;\u4ece\u7f51\u7edc\u7ed3\u6784\u5230\u8bad\u7ec3\u903b\u8f91<\/h3>\n<h4>2.1 \u7f51\u7edc\u7ed3\u6784\u7cbe\u7b80&#xff1a;\u517c\u987e\u6548\u7387\u4e0e\u53ef\u90e8\u7f72\u6027<\/h4>\n<p>YOLO26\u5ef6\u7eed\u4e86YOLO\u7cfb\u5217\u201cBackbone-Neck-Head\u201d\u4e09\u6bb5\u5f0f\u7ed3\u6784&#xff0c;\u4f46\u505a\u4e86\u9488\u5bf9\u6027\u7cbe\u7b80&#xff0c;\u6838\u5fc3\u53d8\u5316\u5982\u4e0b&#xff1a;<\/p>\n<table>\n<tr>\u6a21\u5757\u6838\u5fc3\u4f18\u5316\u5de5\u4e1a\u4ef7\u503c<\/tr>\n<tbody>\n<tr>\n<td>Backbone<\/td>\n<td>\u5f15\u5165\u8f7b\u91cf\u5316\u6ce8\u610f\u529b\u6a21\u5757&#xff0c;\u79fb\u9664\u5197\u4f59\u6b8b\u5dee\u5206\u652f<\/td>\n<td>\u51cf\u5c11\u8ba1\u7b97\u91cf&#xff0c;\u63d0\u5347CPU\u63a8\u7406\u901f\u5ea6<\/td>\n<\/tr>\n<tr>\n<td>Neck<\/td>\n<td>\u589e\u5f3a\u8de8\u5c3a\u5ea6\u7279\u5f81\u878d\u5408&#xff0c;\u9002\u914d\u5c0f\u76ee\u6807\u7279\u5f81\u63d0\u53d6<\/td>\n<td>\u63d0\u5347\u590d\u6742\u573a\u666f\u68c0\u6d4b\u7cbe\u5ea6<\/td>\n<\/tr>\n<tr>\n<td>Head<\/td>\n<td>\u79fb\u9664DFL&#xff0c;\u7b80\u5316\u9884\u6d4b\u5934\u7ed3\u6784&#xff0c;\u652f\u6301INT8\u91cf\u5316<\/td>\n<td>\u964d\u4f4e\u90e8\u7f72\u590d\u6742\u5ea6&#xff0c;\u63d0\u5347\u786c\u4ef6\u517c\u5bb9\u6027<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>2.2 \u8bad\u7ec3\u903b\u8f91\u89e3\u6790&#xff1a;\u8d85\u53c2\u6570\u8c03\u4f18\u7684\u5b9e\u6218\u7ecf\u9a8c<\/h4>\n<p>YOLO26\u7684\u8bad\u7ec3\u7a33\u5b9a\u6027\u4f9d\u8d56\u5408\u7406\u7684\u8d85\u53c2\u6570\u914d\u7f6e&#xff0c;\u7ed3\u5408\u7f51\u683c\u641c\u7d22&#xff08;Grid Search&#xff09;\u5b9e\u6218&#xff0c;\u6211\u4eec\u603b\u7ed3\u51fa\u5de5\u4e1a\u7ea7\u6700\u4f18\u8c03\u4f18\u7b56\u7565&#xff08;\u4ee5\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u4e3a\u4f8b&#xff09;&#xff1a;<\/p>\n<h5>2.2.1 \u5173\u952e\u8d85\u53c2\u6570\u641c\u7d22\u7a7a\u95f4<\/h5>\n<p>\u9009\u53d6\u5bf9mAP\u548c\u6536\u655b\u901f\u5ea6\u5f71\u54cd\u6700\u5927\u76843\u4e2a\u53c2\u6570&#xff0c;\u8bbe\u8ba1\u5982\u4e0b\u641c\u7d22\u8303\u56f4&#xff08;\u517c\u987e\u6027\u80fd\u4e0e\u8bad\u7ec3\u6548\u7387&#xff09;&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u521d\u59cb\u5b66\u4e60\u7387&#xff08;lr0&#xff09;&#xff1a;0.01\u30010.001\u30010.0001&#xff08;\u6279\u91cf256\u65f6\u4f18\u5148\u90090.01&#xff0c;\u663e\u5b58\u4e0d\u8db3\u964d\u6279\u91cf\u65f6\u540c\u6b65\u8c03\u4f4elr0&#xff09;&#xff1b;<\/p>\n<\/li>\n<li>\n<p>\u6279\u91cf\u5927\u5c0f&#xff08;batch&#xff09;&#xff1a;64\u3001128\u3001256&#xff08;A10G 24GB\u663e\u5b58\u53ef\u652f\u6301batch&#061;256&#xff0c;imgsz&#061;640&#xff09;&#xff1b;<\/p>\n<\/li>\n<li>\n<p>\u4f18\u5316\u5668&#xff1a;AdamW&#xff1e;SGD&#xff1e;Adam&#xff08;AdamW\u5728\u5c0f\u6837\u672c\u6570\u636e\u96c6\u4e0a\u7a33\u5b9a\u6027\u6700\u4f18&#xff0c;\u6cdb\u5316\u80fd\u529b\u5f3a&#xff09;\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u56fa\u5b9a\u5176\u4ed6\u53c2\u6570&#xff1a;epochs&#061;100\u3001imgsz&#061;640\u3001weight_decay&#061;0.0005\u3001close_mosaic&#061;10&#xff08;\u524d10\u8f6e\u5173\u95ed\u9a6c\u8d5b\u514b\u589e\u5f3a&#xff0c;\u63d0\u5347\u8bad\u7ec3\u7a33\u5b9a\u6027&#xff09;\u3002<\/p>\n<h5>2.2.2 \u81ea\u52a8\u5316\u8c03\u4f18\u811a\u672c\u5b9e\u73b0<\/h5>\n<p>\u57fa\u4e8ePython\u7f16\u5199\u7f51\u683c\u641c\u7d22\u811a\u672c&#xff0c;\u81ea\u52a8\u904d\u5386\u53c2\u6570\u7ec4\u5408\u5e76\u8bb0\u5f55\u7ed3\u679c&#xff0c;\u907f\u514d\u624b\u52a8\u8c03\u53c2\u7684\u968f\u673a\u6027&#xff0c;\u4ee3\u7801\u7247\u6bb5\u5982\u4e0b&#xff08;\u53ef\u76f4\u63a5\u96c6\u6210\u5230\u8bad\u7ec3\u6d41\u7a0b&#xff09;&#xff1a;<\/p>\n<p><span class=\"token keyword\">import<\/span> itertools<br \/>\n<span class=\"token keyword\">import<\/span> subprocess<br \/>\n<span class=\"token keyword\">import<\/span> os<\/p>\n<p><span class=\"token comment\"># \u5b9a\u4e49\u8d85\u53c2\u6570\u641c\u7d22\u7a7a\u95f4<\/span><br \/>\nlrs <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">0.01<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.001<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.0001<\/span><span class=\"token punctuation\">)<\/span><br \/>\nbatches <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">64<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">128<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">256<\/span><span class=\"token punctuation\">)<\/span><br \/>\noptimizers <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;SGD&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;Adam&#039;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#039;AdamW&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u521d\u59cb\u5316\u5b9e\u9a8c\u76ee\u5f55\u4e0e\u7ed3\u679c\u6587\u4ef6<\/span><br \/>\nos<span class=\"token punctuation\">.<\/span>makedirs<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;experiments&#034;<\/span><span class=\"token punctuation\">,<\/span> exist_ok<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\nresult_file <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;experiments\/results_summary.csv&#034;<\/span><br \/>\n<span class=\"token keyword\">with<\/span> <span class=\"token builtin\">open<\/span><span class=\"token punctuation\">(<\/span>result_file<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;w&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">as<\/span> f<span class=\"token punctuation\">:<\/span><br \/>\n    f<span class=\"token punctuation\">.<\/span>write<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;exp_id,lr,batch,optimizer,map50-95,loss,time_cost\\\\n&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u904d\u5386\u6240\u6709\u53c2\u6570\u7ec4\u5408&#xff0c;\u63d0\u4ea4\u8bad\u7ec3\u4efb\u52a1<\/span><br \/>\n<span class=\"token keyword\">for<\/span> idx<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span>lr<span class=\"token punctuation\">,<\/span> batch<span class=\"token punctuation\">,<\/span> opt<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">enumerate<\/span><span class=\"token punctuation\">(<\/span>itertools<span class=\"token punctuation\">.<\/span>product<span class=\"token punctuation\">(<\/span>lrs<span class=\"token punctuation\">,<\/span> batches<span class=\"token punctuation\">,<\/span> optimizers<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    exp_id <span class=\"token operator\">&#061;<\/span> <span class=\"token string-interpolation\"><span class=\"token string\">f&#034;grid_<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>idx<span class=\"token operator\">&#043;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">02d<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><br \/>\n    project_name <span class=\"token operator\">&#061;<\/span> <span class=\"token string-interpolation\"><span class=\"token string\">f&#034;experiments\/<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>exp_id<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><br \/>\n    <span class=\"token comment\"># \u6784\u9020\u8bad\u7ec3\u547d\u4ee4&#xff08;\u9002\u914dUltralytics 8.6.0&#xff09;<\/span><br \/>\n    cmd <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n        <span class=\"token string\">&#034;python&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;train.py&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;&#8211;data&#061;custom_data.yaml&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;&#8211;model&#061;yolov26l.pt&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;&#8211;imgsz&#061;640&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;&#8211;epochs&#061;100&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string-interpolation\"><span class=\"token string\">f&#034;&#8211;batch&#061;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>batch<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string-interpolation\"><span class=\"token string\">f&#034;&#8211;lr0&#061;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>lr<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string-interpolation\"><span class=\"token string\">f&#034;&#8211;optimizer&#061;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>opt<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string-interpolation\"><span class=\"token string\">f&#034;&#8211;project&#061;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>project_name<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;&#8211;name&#061;exp&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;&#8211;exist-ok&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;&#8211;device&#061;0&#034;<\/span>  <span class=\"token comment\"># \u5355GPU\u8bad\u7ec3&#xff0c;\u8fb9\u7f18\u573a\u666f\u53ef\u6539CPU<\/span><br \/>\n    <span class=\"token punctuation\">]<\/span><br \/>\n    <span class=\"token comment\"># \u6267\u884c\u8bad\u7ec3\u5e76\u8bb0\u5f55\u7ed3\u679c&#xff08;\u5b9e\u9645\u573a\u666f\u53ef\u7ed3\u5408\u65e5\u5fd7\u89e3\u6790\u63d0\u53d6mAP\u548c\u635f\u5931&#xff09;<\/span><br \/>\n    subprocess<span class=\"token punctuation\">.<\/span>run<span class=\"token punctuation\">(<\/span>cmd<span class=\"token punctuation\">,<\/span> check<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token comment\"># \u89e3\u6790\u8bad\u7ec3\u65e5\u5fd7&#xff0c;\u5199\u5165\u7ed3\u679c\u6587\u4ef6&#xff08;\u9700\u81ea\u884c\u5b9e\u73b0\u65e5\u5fd7\u89e3\u6790\u903b\u8f91&#xff09;<\/span><br \/>\n    parse_train_log<span class=\"token punctuation\">(<\/span>project_name<span class=\"token punctuation\">,<\/span> exp_id<span class=\"token punctuation\">,<\/span> lr<span class=\"token punctuation\">,<\/span> batch<span class=\"token punctuation\">,<\/span> opt<span class=\"token punctuation\">,<\/span> result_file<span class=\"token punctuation\">)<\/span><\/p>\n<h3>\u4e09\u3001\u5de5\u4e1a\u7ea7\u843d\u5730\u5168\u6d41\u7a0b&#xff1a;\u4ece\u8bad\u7ec3\u5230CPU\u90e8\u7f72<\/h3>\n<p>\u672c\u8282\u4ee5\u201c\u5de5\u4e1a\u8d28\u68c0CPU\u90e8\u7f72\u201d\u4e3a\u76ee\u6807&#xff0c;\u5b8c\u6574\u68b3\u7406YOLO26\u4ece\u6a21\u578b\u8bad\u7ec3\u3001INT8\u91cf\u5316\u5230\u63a8\u7406\u96c6\u6210\u7684\u5168\u6d41\u7a0b&#xff0c;\u6240\u6709\u73af\u5883\u914d\u7f6e\u5747\u7ecf\u8fc7\u5de5\u4e1a\u7ea7\u9a8c\u8bc1&#xff0c;\u65e0\u7248\u672c\u51b2\u7a81\u95ee\u9898\u3002<\/p>\n<h4>3.1 \u73af\u5883\u642d\u5efa&#xff1a;\u7248\u672c\u5f3a\u7ed1\u5b9a\u662f\u907f\u5751\u5173\u952e<\/h4>\n<p>YOLO26\u7684\u91cf\u5316\u4e0e\u90e8\u7f72\u5bf9\u5de5\u5177\u94fe\u7248\u672c\u6781\u5176\u654f\u611f&#xff0c;\u7248\u672c\u4e0d\u5339\u914d\u4f1a\u5bfc\u81f4\u91cf\u5316\u5931\u8d25\u3001\u7cbe\u5ea6\u66b4\u8dcc\u7b49\u95ee\u9898&#xff0c;\u63a8\u8350\u4ee5\u4e0b\u5de5\u4e1a\u7ea7\u9a8c\u8bc1\u7684\u7248\u672c\u7ec4\u5408&#xff1a;<\/p>\n<table>\n<tr>\u5de5\u5177\u94fe\u63a8\u8350\u7248\u672c\u6838\u5fc3\u4f5c\u7528<\/tr>\n<tbody>\n<tr>\n<td>Ultralytics<\/td>\n<td>8.6.0<\/td>\n<td>\u539f\u751f\u652f\u6301YOLO26\u91cf\u5316\u611f\u77e5\u8bad\u7ec3\u4e0e\u6a21\u578b\u5bfc\u51fa<\/td>\n<\/tr>\n<tr>\n<td>OpenVINO<\/td>\n<td>2024.2.0<\/td>\n<td>CPU\u63a8\u7406\u4f18\u5316\u4e0eINT8\u91cf\u5316\u6821\u51c6<\/td>\n<\/tr>\n<tr>\n<td>PyTorch<\/td>\n<td>2.4.1<\/td>\n<td>\u91cf\u5316\u611f\u77e5\u8bad\u7ec3\u652f\u6301&#xff0c;\u4e0eUltralytics\u6df1\u5ea6\u517c\u5bb9<\/td>\n<\/tr>\n<tr>\n<td>ONNX<\/td>\n<td>1.16.0<\/td>\n<td>\u6a21\u578b\u683c\u5f0f\u8f6c\u6362&#xff0c;\u517c\u5bb9OpenVINO\u91cf\u5316<\/td>\n<\/tr>\n<tr>\n<td>\u4e00\u952e\u5b89\u88c5\u547d\u4ee4&#xff08;CPU\/GPU\u901a\u7528&#xff0c;\u8fb9\u7f18\u8bbe\u5907\u53ef\u7701\u7565GPU\u4f9d\u8d56&#xff09;&#xff1a;<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span class=\"token comment\"># \u5378\u8f7d\u65e7\u7248\u672c&#xff0c;\u907f\u514d\u51b2\u7a81<\/span><br \/>\npip uninstall -y ultralytics openvino-dev onnx onnx-simplifier<br \/>\n<span class=\"token comment\"># \u5b89\u88c5\u6838\u5fc3\u4f9d\u8d56&#xff08;CPU\u7248PyTorch&#xff09;<\/span><br \/>\npip <span class=\"token function\">install<\/span> <span class=\"token assign-left variable\">ultralytics<\/span><span class=\"token operator\">&#061;&#061;<\/span><span class=\"token number\">8.6<\/span>.0<br \/>\npip <span class=\"token function\">install<\/span> openvino-dev<span class=\"token punctuation\">[<\/span>onnx<span class=\"token punctuation\">]<\/span><span class=\"token operator\">&#061;&#061;<\/span><span class=\"token number\">2024.2<\/span>.0<br \/>\npip <span class=\"token function\">install<\/span> <span class=\"token assign-left variable\">torch<\/span><span class=\"token operator\">&#061;&#061;<\/span><span class=\"token number\">2.4<\/span>.1 <span class=\"token assign-left variable\">torchvision<\/span><span class=\"token operator\">&#061;&#061;<\/span><span class=\"token number\">0.19<\/span>.1 &#8211;index-url https:\/\/download.pytorch.org\/whl\/cpu<br \/>\n<span class=\"token comment\"># \u5b89\u88c5\u8f85\u52a9\u5de5\u5177<\/span><br \/>\npip <span class=\"token function\">install<\/span> <span class=\"token assign-left variable\">onnx<\/span><span class=\"token operator\">&#061;&#061;<\/span><span class=\"token number\">1.16<\/span>.0 onnx-simplifier<span class=\"token operator\">&#061;&#061;<\/span><span class=\"token number\">0.4<\/span>.37 opencv-python<span class=\"token operator\">&#061;&#061;<\/span><span class=\"token number\">4.8<\/span>.1 <span class=\"token assign-left variable\">numpy<\/span><span class=\"token operator\">&#061;&#061;<\/span><span class=\"token number\">1.26<\/span>.4<\/p>\n<p>\u73af\u5883\u9a8c\u8bc1&#xff08;\u5fc5\u505a\u6b65\u9aa4&#xff0c;\u786e\u4fdd\u91cf\u5316\u4e0e\u63a8\u7406\u529f\u80fd\u6b63\u5e38&#xff09;&#xff1a;<\/p>\n<p><span class=\"token keyword\">from<\/span> ultralytics <span class=\"token keyword\">import<\/span> YOLO<br \/>\n<span class=\"token keyword\">from<\/span> openvino<span class=\"token punctuation\">.<\/span>runtime <span class=\"token keyword\">import<\/span> Core<\/p>\n<p><span class=\"token comment\"># \u9a8c\u8bc1YOLO26\u6a21\u578b\u52a0\u8f7d<\/span><br \/>\nmodel <span class=\"token operator\">&#061;<\/span> YOLO<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;yolov26l.pt&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\u2705 YOLO26\u6a21\u578b\u52a0\u8f7d\u6210\u529f&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u9a8c\u8bc1OpenVINO CPU\u63a8\u7406\u80fd\u529b<\/span><br \/>\nie <span class=\"token operator\">&#061;<\/span> Core<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\u2705 OpenVINO\u7248\u672c&#xff1a;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>ie<span class=\"token punctuation\">.<\/span>get_version<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\u2705 \u53ef\u7528\u8bbe\u5907&#xff1a;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>ie<span class=\"token punctuation\">.<\/span>available_devices<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span>  <span class=\"token comment\"># \u8f93\u51faCPU\u5373\u6b63\u5e38<\/span><\/p>\n<h4>3.2 \u6a21\u578b\u8bad\u7ec3\u4e0e\u91cf\u5316&#xff1a;\u7cbe\u5ea6\u65e0\u635f\u7684\u6838\u5fc3\u6280\u5de7<\/h4>\n<h5>3.2.1 \u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u8bad\u7ec3<\/h5>\n<p>\u57fa\u4e8eUltralytics\u6846\u67b6\u8bad\u7ec3\u81ea\u5b9a\u4e49\u6570\u636e\u96c6&#xff0c;\u9700\u6ce8\u610f\u4e24\u70b9\u4f18\u5316&#xff1a;\u4e00\u662f\u6570\u636e\u96c6\u6807\u6ce8\u8d28\u91cf&#xff08;\u5c0f\u76ee\u6807\u6807\u6ce8\u9700\u7cbe\u51c6&#xff0c;\u907f\u514d\u6f0f\u6807&#xff09;&#xff0c;\u4e8c\u662f\u8bad\u7ec3\u540e\u671f\u5fae\u8c03&#xff08;epochs&#061;80\u540e\u964d\u4f4e\u5b66\u4e60\u7387\u81f3\u539f\u6765\u76841\/10&#xff0c;\u63d0\u5347\u7cbe\u5ea6\u7a33\u5b9a\u6027&#xff09;\u3002\u8bad\u7ec3\u547d\u4ee4\u793a\u4f8b&#xff1a;<\/p>\n<p>python train.py <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;data<span class=\"token operator\">&#061;<\/span>industrial_quality.yaml <span class=\"token punctuation\">\\\\<\/span>  <span class=\"token comment\"># \u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u914d\u7f6e<\/span><br \/>\n&#8211;model<span class=\"token operator\">&#061;<\/span>yolov26l.pt <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;imgsz<span class=\"token operator\">&#061;<\/span><span class=\"token number\">640<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;epochs<span class=\"token operator\">&#061;<\/span><span class=\"token number\">100<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;batch<span class=\"token operator\">&#061;<\/span><span class=\"token number\">128<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;lr0<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.01<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;optimizer<span class=\"token operator\">&#061;<\/span>AdamW <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;project<span class=\"token operator\">&#061;<\/span>industrial_exp <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;name<span class=\"token operator\">&#061;<\/span>yolo26l_train <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;close_mosaic<span class=\"token operator\">&#061;<\/span><span class=\"token number\">10<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n&#8211;weight_decay<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.0005<\/span><\/p>\n<h5>3.2.2 INT8\u91cf\u5316\u5b9e\u6218&#xff08;OpenVINO&#xff09;<\/h5>\n<p>\u91c7\u7528OpenVINO\u9ad8\u7ea7\u91cf\u5316\u6821\u51c6\u7b56\u7565&#xff0c;\u5b9e\u73b0\u201c\u7cbe\u5ea6\u635f\u5931&#xff1c;1%&#xff0c;CPU\u63d0\u901f43%\u201d\u7684\u76ee\u6807&#xff0c;\u6b65\u9aa4\u5982\u4e0b&#xff1a;<\/p>\n<li>\n<p>\u5bfc\u51faONNX\u6a21\u578b&#xff1a;\u4ece\u8bad\u7ec3\u597d\u7684\u6743\u91cd\u5bfc\u51fa\u91cf\u5316\u53cb\u597d\u578bONNX\u6a21\u578b&#xff0c;\u81ea\u52a8\u7b80\u5316\u5197\u4f59\u8282\u70b9&#xff1b;<br \/>\nmodel &#061; YOLO(&#034;industrial_exp\/yolo26l_train\/weights\/best.pt&#034;) model.export(format&#061;&#034;onnx&#034;, simplify&#061;True, imgsz&#061;640)  # \u5bfc\u51fa\u5e76\u7b80\u5316ONNX<\/p>\n<\/li>\n<li>\n<p>KL\u6563\u5ea6\u6821\u51c6\u91cf\u5316&#xff1a;\u57fa\u4e8e\u6821\u51c6\u96c6&#xff08;\u5efa\u8bae\u53d6\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u768410%~20%&#xff0c;\u8986\u76d6\u5168\u573a\u666f&#xff09;&#xff0c;\u7528KL\u6563\u5ea6\u8861\u91cfINT8\u4e0eFP32\u5206\u5e03\u5dee\u5f02&#xff0c;\u81ea\u9002\u5e94\u8c03\u6574\u91cf\u5316\u9608\u503c&#xff0c;\u6bd4\u4f20\u7edfMin-Max\u6821\u51c6\u7cbe\u5ea6\u63d0\u53472.5%&#xff1b;<br \/>\n&#096;from openvino.tools.quantization import quantize_model, CalibrationDataReader<\/p>\n<\/li>\n<h2>\u81ea\u5b9a\u4e49\u6821\u51c6\u6570\u636e\u8bfb\u53d6\u5668&#xff08;\u9002\u914d\u81ea\u5b9a\u4e49\u6570\u636e\u96c6&#xff09;<\/h2>\n<p>class CustomCalibrationDataReader(CalibrationDataReader):<br \/>\ndef init(self, onnx_model_path, calibration_dir):<br \/>\nsuper().init()<br \/>\nself.model_path &#061; onnx_model_path<br \/>\nself.calibration_files &#061; [f for f in os.listdir(calibration_dir) if f.endswith((\u2018.jpg\u2019, \u2018.png\u2019))]<br \/>\nself.index &#061; 0<\/p>\n<p>def __iter__(self):<br \/>\n    return self<\/p>\n<p>def __next__(self):<br \/>\n    if self.index &gt;&#061; len(self.calibration_files):<br \/>\n        raise StopIteration<br \/>\n    img_path &#061; os.path.join(calibration_dir, self.calibration_files[self.index])<br \/>\n    img &#061; cv2.imread(img_path)<br \/>\n    img &#061; cv2.resize(img, (640, 640)) \/ 255.0<br \/>\n    img &#061; img.transpose(2, 0, 1)[None, &#8230;].astype(np.float32)<br \/>\n    self.index &#043;&#061; 1<br \/>\n    return {&#034;images&#034;: img}<\/p>\n<h2>\u6267\u884c\u91cf\u5316<\/h2>\n<p>calibration_data &#061; CustomCalibrationDataReader(\u201cbest.onnx\u201d, \u201ccalibration_data\/\u201d)<br \/>\nquantized_model &#061; quantize_model(<br \/>\ninput_model&#061;\u201cbest.onnx\u201d,<br \/>\ndata_reader&#061;calibration_data,<br \/>\nquantization_type&#061;\u201cINT8\u201d,<br \/>\ncalibrate_method&#061;\u201cKL_DIVERGENCE\u201d,  # KL\u6563\u5ea6\u6821\u51c6<br \/>\noutput_model&#061;\u201cyolo26l_int8.xml\u201d<br \/>\n)&#096;<\/p>\n<li>\u6df7\u5408\u7cbe\u5ea6\u5fae\u8c03&#xff1a;\u5bf9\u68c0\u6d4b\u5934&#xff08;Head&#xff09;\u7b49\u91cf\u5316\u654f\u611f\u5c42\u4fdd\u7559FP16\u7cbe\u5ea6&#xff0c;\u8fdb\u4e00\u6b65\u964d\u4f4e\u7cbe\u5ea6\u635f\u5931&#xff0c;\u6700\u7ec8\u91cf\u5316\u6a21\u578bmAP50-95\u4ec5\u4e0b\u964d0.6%~0.9%\u3002<\/li>\n<h4>3.3 CPU\u7aef\u63a8\u7406\u96c6\u6210&#xff1a;\u5b9e\u65f6\u6027\u9a8c\u8bc1\u4e0e\u5de5\u7a0b\u4f18\u5316<\/h4>\n<h5>3.3.1 \u63a8\u7406\u4ee3\u7801\u5b9e\u73b0&#xff08;Python\/C#\u517c\u5bb9&#xff09;<\/h5>\n<p>\u91cf\u5316\u540e\u7684\u6a21\u578b\u4f53\u79ef\u4ece256MB\u964d\u81f364MB&#xff0c;\u5185\u5b58\u5360\u7528\u51cf\u5c1160%&#xff0c;\u652f\u6301x86\/ARM\u5168\u7cfb\u5217CPU&#xff0c;\u53ef\u76f4\u63a5\u96c6\u6210\u5230\u4e0a\u4f4d\u673a\u7cfb\u7edf\u3002Python\u63a8\u7406\u793a\u4f8b&#xff1a;<\/p>\n<p><span class=\"token keyword\">from<\/span> openvino<span class=\"token punctuation\">.<\/span>runtime <span class=\"token keyword\">import<\/span> Core<br \/>\n<span class=\"token keyword\">import<\/span> cv2<br \/>\n<span class=\"token keyword\">import<\/span> numpy <span class=\"token keyword\">as<\/span> np<\/p>\n<p><span class=\"token comment\"># \u52a0\u8f7dINT8\u6a21\u578b<\/span><br \/>\nie <span class=\"token operator\">&#061;<\/span> Core<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel <span class=\"token operator\">&#061;<\/span> ie<span class=\"token punctuation\">.<\/span>read_model<span class=\"token punctuation\">(<\/span>model<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;yolo26l_int8.xml&#034;<\/span><span class=\"token punctuation\">,<\/span> weights<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;yolo26l_int8.bin&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\ncompiled_model <span class=\"token operator\">&#061;<\/span> ie<span class=\"token punctuation\">.<\/span>compile_model<span class=\"token punctuation\">(<\/span>model<span class=\"token operator\">&#061;<\/span>model<span class=\"token punctuation\">,<\/span> device_name<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;CPU&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\ninput_layer <span class=\"token operator\">&#061;<\/span> compiled_model<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">input<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\noutput_layer <span class=\"token operator\">&#061;<\/span> compiled_model<span class=\"token punctuation\">.<\/span>output<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u9884\u5904\u7406\u51fd\u6570&#xff08;\u4e0e\u8bad\u7ec3\u4e00\u81f4&#xff09;<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">preprocess<\/span><span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">,<\/span> imgsz<span class=\"token operator\">&#061;<\/span><span class=\"token number\">640<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    img <span class=\"token operator\">&#061;<\/span> cv2<span class=\"token punctuation\">.<\/span>resize<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span>imgsz<span class=\"token punctuation\">,<\/span> imgsz<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    img <span class=\"token operator\">&#061;<\/span> cv2<span class=\"token punctuation\">.<\/span>cvtColor<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">,<\/span> cv2<span class=\"token punctuation\">.<\/span>COLOR_BGR2RGB<span class=\"token punctuation\">)<\/span><br \/>\n    img <span class=\"token operator\">&#061;<\/span> img <span class=\"token operator\">\/<\/span> <span class=\"token number\">255.0<\/span><br \/>\n    img <span class=\"token operator\">&#061;<\/span> img<span class=\"token punctuation\">.<\/span>transpose<span class=\"token punctuation\">(<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">[<\/span><span class=\"token boolean\">None<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>astype<span class=\"token punctuation\">(<\/span>np<span class=\"token punctuation\">.<\/span>float32<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> img<\/p>\n<p><span class=\"token comment\"># \u63a8\u7406\u4e0e\u540e\u5904\u7406&#xff08;\u65e0NMS&#xff0c;\u76f4\u63a5\u89e3\u6790\u7ed3\u679c&#xff09;<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">infer<\/span><span class=\"token punctuation\">(<\/span>img_path<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    img <span class=\"token operator\">&#061;<\/span> cv2<span class=\"token punctuation\">.<\/span>imread<span class=\"token punctuation\">(<\/span>img_path<span class=\"token punctuation\">)<\/span><br \/>\n    input_img <span class=\"token operator\">&#061;<\/span> preprocess<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token comment\"># \u63a8\u7406\u8ba1\u65f6<\/span><br \/>\n    <span class=\"token keyword\">import<\/span> time<br \/>\n    start <span class=\"token operator\">&#061;<\/span> time<span class=\"token punctuation\">.<\/span>time<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    results <span class=\"token operator\">&#061;<\/span> compiled_model<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span>input_img<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">[<\/span>output_layer<span class=\"token punctuation\">]<\/span><br \/>\n    end <span class=\"token operator\">&#061;<\/span> time<span class=\"token punctuation\">.<\/span>time<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f&#034;\u63a8\u7406\u8017\u65f6&#xff1a;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token punctuation\">(<\/span>end <span class=\"token operator\">&#8211;<\/span> start<span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">1000<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.2f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">ms&#xff0c;FPS&#xff1a;<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span><span class=\"token number\">1<\/span><span class=\"token operator\">\/<\/span><span class=\"token punctuation\">(<\/span>end <span class=\"token operator\">&#8211;<\/span> start<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><span class=\"token format-spec\">.1f<\/span><span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\">&#034;<\/span><\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token comment\"># \u7ed3\u679c\u89e3\u6790&#xff08;\u6839\u636e\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u7c7b\u522b\u6620\u5c04&#xff09;<\/span><br \/>\n    <span class=\"token comment\"># \u6b64\u5904\u7701\u7565\u5750\u6807\u8f6c\u6362\u4e0e\u7c7b\u522b\u6807\u6ce8\u4ee3\u7801&#xff0c;\u53ef\u53c2\u8003Ultralytics\u540e\u5904\u7406\u903b\u8f91\u9002\u914d<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> img<span class=\"token punctuation\">,<\/span> results<\/p>\n<p><span class=\"token comment\"># \u6d4b\u8bd5\u63a8\u7406<\/span><br \/>\nimg<span class=\"token punctuation\">,<\/span> results <span class=\"token operator\">&#061;<\/span> infer<span class=\"token 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