{"id":2398,"date":"2024-06-30T17:53:58","date_gmt":"2024-06-30T09:53:58","guid":{"rendered":"https:\/\/17aitech.com\/?p=2398"},"modified":"2024-10-08T15:17:39","modified_gmt":"2024-10-08T07:17:39","slug":"%e3%80%90%e8%af%be%e7%a8%8b%e6%80%bb%e7%bb%93%e3%80%91day13%ef%bc%88%e4%b8%8a%ef%bc%89%ef%bc%9ayolo%e7%9b%ae%e6%a0%87%e6%a3%80%e6%b5%8b","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=2398","title":{"rendered":"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day13\uff08\u4e0a\uff09\uff1a\u4f7f\u7528YOLO\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 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class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/17aitech.com\/?p=2398\/#%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90\" >\u6570\u636e\u5206\u6790<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/17aitech.com\/?p=2398\/#%E6%95%B0%E6%8D%AE%E8%BD%AC%E6%8D%A2\" >\u6570\u636e\u8f6c\u6362<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/17aitech.com\/?p=2398\/#1_%E5%88%9B%E5%BB%BADataset%E6%A0%B9%E7%9B%AE%E5%BD%95\" >1. \u521b\u5efaDataset\u6839\u76ee\u5f55<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/17aitech.com\/?p=2398\/#2_%E8%AF%BB%E5%8F%96classes%E7%B1%BB%E5%88%AB\" >2. \u8bfb\u53d6classes\u7c7b\u522b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/17aitech.com\/?p=2398\/#3_%E8%AF%BB%E5%8F%96xml%E6%96%87%E4%BB%B6%E5%B9%B6%E8%BD%AC%E6%8D%A2%E4%B8%BAyolo%E6%A0%BC%E5%BC%8F\" >3. \u8bfb\u53d6xml\u6587\u4ef6\u5e76\u8f6c\u6362\u4e3ayolo\u683c\u5f0f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/17aitech.com\/?p=2398\/#4_%E5%B0%86xml%E6%96%87%E4%BB%B6%E8%BD%AC%E6%8D%A2%E4%B8%BAtxt%E6%96%87%E4%BB%B6\" >4. \u5c06xml\u6587\u4ef6\u8f6c\u6362\u4e3atxt\u6587\u4ef6<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/17aitech.com\/?p=2398\/#5_%E4%BF%9D%E5%AD%98txt%E6%96%87%E4%BB%B6%E5%88%B0%E6%96%B0%E7%9B%AE%E5%BD%95%E4%B8%8B%EF%BC%8C%E5%90%8C%E6%97%B6%E6%8B%B7%E8%B4%9D%E5%9B%BE%E5%83%8F\" >5. \u4fdd\u5b58.txt\u6587\u4ef6\u5230\u65b0\u76ee\u5f55\u4e0b\uff0c\u540c\u65f6\u62f7\u8d1d\u56fe\u50cf<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/17aitech.com\/?p=2398\/#%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83\" >\u6a21\u578b\u8bad\u7ec3<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/17aitech.com\/?p=2398\/#%E9%99%84%E5%BD%95\" >\u9644\u5f55<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/17aitech.com\/?p=2398\/#labelimg%E8%BF%9B%E8%A1%8C%E6%95%B0%E6%8D%AE%E6%A0%87%E6%B3%A8\" >labelimg\u8fdb\u884c\u6570\u636e\u6807\u6ce8<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/17aitech.com\/?p=2398\/#%E7%AE%80%E4%BB%8B\" >\u7b80\u4ecb<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/17aitech.com\/?p=2398\/#%E4%BD%BF%E7%94%A8%E6%AD%A5%E9%AA%A4\" >\u4f7f\u7528\u6b65\u9aa4<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/17aitech.com\/?p=2398\/#%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\" >\u5185\u5bb9\u5c0f\u7ed3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/17aitech.com\/?p=2398\/#%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99\" >\u53c2\u8003\u8d44\u6599<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E5%89%8D%E8%A8%80\"><\/span>\u524d\u8a00<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u5728\u4e0a\u4e00\u7ae0<a href=\"https:\/\/17aitech.com\/?p=2322#toc-18\">\u300a\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day11\uff08\u4e0b\uff09\uff1aYOLO\u7684\u5165\u95e8\u4f7f\u7528\u300b<\/a>\u7684\u5b66\u4e60\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7YOLO\u5b9e\u73b0\u4e86\u5bf9\u56fe\u7247\u7684\u5206\u7c7b\u4efb\u52a1\u3002\u672c\u7ae0\u7684\u5b66\u4e60\u5185\u5bb9\uff0c\u5c06\u4ee5\u76ee\u6807\u68c0\u6d4b\u4e3a\u5207\u5165\u53e3\uff0c\u4e86\u89e3\u76ee\u6807\u68c0\u6d4b\u6d41\u7a0b\uff0c\u5305\u62ec\uff1a\u6570\u636e\u6807\u51c6\u3001\u6a21\u578b\u8bad\u7ec3\u4ee5\u53ca\u6a21\u578b\u9884\u6d4b\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E5%9B%BE%E7%89%87%E5%88%86%E7%B1%BBvs%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B\"><\/span>\u56fe\u7247\u5206\u7c7bvs\u76ee\u6807\u68c0\u6d4b<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u901a\u8fc7\u67e5\u770bYOLO\u7f51\u7ad9\u7684task\u76ee\u5f55\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff1a\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u4e2d\uff0c\u5e38\u89c1\u7684\u4efb\u52a1\u5305\u62ec\u76ee\u6807\u68c0\u6d4b\uff08detect\uff09\u3001\u8bed\u4e49\u5206\u5272\uff08segment\uff09\u3001\u56fe\u50cf\u5206\u7c7b\uff08classify\uff09\u3001\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1\uff08pose\uff09\u3001\u4ee5\u53ca\u6709\u5411\u8fb9\u754c\u6846\uff08Oriented Bounding Box\uff0cOBB\uff09\u7b49\u3002<\/p>\n<ul>\n<li>\u56fe\u50cf\u5206\u7c7b\uff08classify\uff09\n<ul>\n<li>\u5b9a\u4e49\uff1a\u56fe\u7247\u5206\u7c7b\u662f\u6307\u6839\u636e\u56fe\u50cf\u7684\u5185\u5bb9\u5c06\u5176\u5206\u4e3a\u4e0d\u540c\u7684\u7c7b\u522b\u6216\u6807\u7b7e\u3002<\/li>\n<li>\u8f93\u5165\uff1a\n<ul>\n<li>\u8f93\u5165\u662f\u4e00\u5f20\u56fe\u50cf\uff0c\u901a\u5e38\u662f\u56fa\u5b9a\u5927\u5c0f\u7684RGB\u56fe\u50cf\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8f93\u51fa\uff1a\n<ul>\n<li>\u8f93\u51fa\u662f\u56fe\u50cf\u6240\u5c5e\u7684\u7c7b\u522b\u6216\u6807\u7b7e\uff0c\u901a\u5e38\u4ee5\u6982\u7387\u5206\u5e03\u7684\u5f62\u5f0f\uff08\u4f8b\u5982\uff1a[0.2, 0.5, 0.1, 0.2]\uff09\u8868\u793a\u6bcf\u4e2a\u7c7b\u522b\u7684\u6982\u7387\u3002<\/li>\n<li>\u6a21\u578b\u4f1a\u8f93\u51fa\u6bcf\u4e2a\u7c7b\u522b\u7684\u6982\u7387\u503c\uff0c\u6700\u7ec8\u9009\u62e9\u6982\u7387\u6700\u9ad8\u7684\u7c7b\u522b\u4f5c\u4e3a\u9884\u6d4b\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>\u76ee\u6807\u68c0\u6d4b\uff08detect\uff09\n<ul>\n<li>\u5b9a\u4e49\uff1a\u76ee\u6807\u68c0\u6d4b\u662f\u6307\u5728\u56fe\u50cf\u4e2d\u68c0\u6d4b\u548c\u5b9a\u4f4d\u7269\u4f53\u7684\u4efb\u52a1\uff0c\u540c\u65f6\u8bc6\u522b\u7269\u4f53\u7684\u7c7b\u522b\u3002<\/li>\n<li>\u8f93\u5165\uff1a\n<ul>\n<li>\u8f93\u5165\u662f\u4e00\u5f20\u56fe\u50cf\uff0c\u540c\u6837\u662fRGB\u56fe\u50cf\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8f93\u51fa\uff1a\n<ul>\n<li>\u8f93\u51fa\u662f\u56fe\u50cf\u4e2d\u68c0\u6d4b\u5230\u7684\u6240\u6709\u7269\u4f53\u7684\u8fb9\u754c\u6846\u548c\u7c7b\u522b\u4fe1\u606f\u3002<\/li>\n<li>\u901a\u5e38\u662f\u4e00\u4e2a\u5305\u542b\u7269\u4f53\u4f4d\u7f6e\u3001\u7c7b\u522b\u548c\u7f6e\u4fe1\u5ea6\u7684\u5217\u8868\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%9A%84%E9%97%AE%E9%A2%98\"><\/span>\u76ee\u6807\u68c0\u6d4b\u7684\u95ee\u9898<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_\u6807\u8bb0.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_\u6807\u8bb0.png\" alt=\"\" \/><\/a><br \/>\n\u901a\u8fc7\u4e0a\u56fe\u53ef\u4ee5\u770b\u5230\uff0c\u76ee\u6807\u68c0\u6d4b\u4f1a\u9047\u5230\u4ee5\u4e0b\u95ee\u9898\uff1a<\/p>\n<ul>\n<li>\u56fe\u7247\u4e2d\u5305\u542b\u591a\u4e2a\u52a8\u7269\uff0c\u5e76\u4e0d\u80fd\u7b80\u5355\u7684\u5206\u7c7b\u8fd9\u5f20\u56fe\u662f\u957f\u9888\u9e7f\u8fd8\u662f\u6591\u9a6c\uff1b<\/li>\n<li>\u56fe\u7247\u4e2d\u7684\u52a8\u7269\u6240\u5728\u7684\u4f4d\u7f6e\u4e5f\u662f\u5927\u5c0f\u4e0d\u540c\uff0c\u4f4d\u7f6e\u4e0d\u540c\uff1b<\/li>\n<li>&#8230;<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"%E4%BC%A0%E7%BB%9F%E7%AE%97%E6%B3%95%E7%9A%84%E8%A7%A3%E5%86%B3%E6%80%9D%E8%B7%AF\"><\/span>\u4f20\u7edf\u7b97\u6cd5\u7684\u89e3\u51b3\u601d\u8def<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u5728\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u505a\u7269\u4f53\u68c0\u6d4b\u4e4b\u524d\uff0c\u4f20\u7edf\u7b97\u6cd5\u5bf9\u4e8e\u76ee\u6807\u68c0\u6d4b\u901a\u5e38\u5206\u4e3a3\u4e2a\u9636\u6bb5\uff1a\u533a\u57df\u9009\u53d6\u3001\u7279\u5f81\u63d0\u53d6\u548c\u4f53\u5f81\u5206\u7c7b\u3002<\/p>\n<ul>\n<li>\u533a\u57df\u9009\u53d6\uff1a\u9996\u5148\u9009\u53d6\u56fe\u50cf\u4e2d\u53ef\u80fd\u51fa\u73b0\u7269\u4f53\u7684\u4f4d\u7f6e\uff0c\u7531\u4e8e\u7269\u4f53\u4f4d\u7f6e\u3001\u5927\u5c0f\u90fd\u4e0d\u56fa\u5b9a\uff0c\u56e0\u6b64\u4f20\u7edf\u7b97\u6cd5\u901a\u5e38\u4f7f\u7528\u6ed1\u52a8\u7a97\u53e3\uff08Sliding Windows\uff09\u7b97\u6cd5\uff0c\u4f46\u8fd9\u79cd\u7b97\u6cd5\u4f1a\u5b58\u5728\u5927\u91cf\u7684\u5197\u4f59\u6846\uff0c\u5e76\u4e14\u8ba1\u7b97\u590d\u6742\u5ea6\u9ad8\u3002<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u4f20\u7edf\u76ee\u6807\u68c0\u6d4b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u4f20\u7edf\u76ee\u6807\u68c0\u6d4b.png\" alt=\"\" \/><\/a><\/li>\n<li>\u7279\u5f81\u63d0\u53d6\uff1a\u5728\u5f97\u5230\u7269\u4f53\u4f4d\u7f6e\u540e\uff0c\u901a\u5e38\u4f7f\u7528\u4eba\u5de5\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u63d0\u53d6\u5668\u8fdb\u884c\u7279\u5f81\u63d0\u53d6\uff0c\u5982SIFT\u548cHOG\u7b49\u3002\u7531\u4e8e\u63d0\u53d6\u5668\u5305\u542b\u7684\u53c2\u6570\u8f83\u5c11\uff0c\u5e76\u4e14\u4eba\u5de5\u8bbe\u8ba1\u7684\u9c81\u68d2\u6027\u8f83\u4f4e\uff0c\u56e0\u6b64\u7279\u5f81\u63d0\u53d6\u7684\u8d28\u91cf\u5e76\u4e0d\u9ad8\u3002<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u7279\u5f81\u8bc6\u522b.gif\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u7279\u5f81\u8bc6\u522b.gif\" alt=\"\" \/><\/a><\/li>\n<li>\u7279\u5f81\u5206\u7c7b\uff1a\u6700\u540e\uff0c\u5bf9\u4e0a\u4e00\u6b65\u5f97\u5230\u7684\u7279\u5f81\u8fdb\u884c\u5206\u7c7b\uff0c\u901a\u5e38\u4f7f\u7528\u5982SVM\u3001AdaBoost\u7684\u5206\u7c7b\u5668\u3002<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E7%9A%84%E8%A7%A3%E5%86%B3%E6%80%9D%E8%B7%AF\"><\/span>\u6df1\u5ea6\u5b66\u4e60\u7684\u89e3\u51b3\u601d\u8def<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"Anchor-based%EF%BC%88%E5%9F%BA%E4%BA%8E%E9%94%9A%E6%A1%86%EF%BC%89\"><\/span>Anchor-based\uff08\u57fa\u4e8e\u951a\u6846\uff09<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p><strong>\u5b9a\u4e49<\/strong>\uff1aAnchor-based \u65b9\u6cd5\u901a\u8fc7\u5728\u56fe\u50cf\u4e0a\u751f\u6210\u4e00\u7ec4\u9884\u5b9a\u4e49\u7684\u951a\u6846\uff08Anchor Boxes\uff09\uff0c\u7136\u540e\u5229\u7528\u8fd9\u4e9b\u951a\u6846\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b\u3002<br \/>\n<strong>\u6d41\u7a0b<\/strong>\uff1a<\/p>\n<ol>\n<li><strong>\u751f\u6210\u951a\u6846<\/strong>\uff1a\u5728\u56fe\u50cf\u4e0a\u751f\u6210\u4e00\u7ec4\u4e0d\u540c\u5c3a\u5bf8\u548c\u957f\u5bbd\u6bd4\u7684\u951a\u6846\u3002<\/li>\n<li><strong>\u7279\u5f81\u63d0\u53d6<\/strong>\uff1a\u901a\u8fc7\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u63d0\u53d6\u56fe\u50cf\u7279\u5f81(\u5957\u79cd\u56fe\u7247\u4e2d\u7684\u7269\u4f53)\u3002<\/li>\n<li><strong>\u9884\u6d4b<\/strong>\uff1a\u5bf9\u6bcf\u4e2a\u951a\u6846\u9884\u6d4b\u504f\u79fb\u91cf\u548c\u76ee\u6807\u7c7b\u522b\u4fe1\u606f\u3002<\/li>\n<li><strong>\u7b5b\u9009<\/strong>\uff1a\u901a\u8fc7\u975e\u6781\u5927\u503c\u6291\u5236\uff08NMS\uff09\u7b49\u65b9\u6cd5\u7b5b\u9009\u51fa\u6700\u7ec8\u7684\u68c0\u6d4b\u7ed3\u679c\u3002<\/li>\n<\/ol>\n<p><strong>\u6838\u5fc3\u601d\u60f3<\/strong>\uff1a<\/p>\n<ul>\n<li>\u6b7b\u6846+\u4fee\u6b63\u91cf<\/li>\n<\/ul>\n<p>20\u00d720\u7684\u951a\u6846<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_with_grid_20x20.jpg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_with_grid_20x20.jpg\" alt=\"\" \/><\/a><br \/>\n40\u00d740\u7684\u951a\u6846<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_with_grid_40x40.jpg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_with_grid_40x40.jpg\" alt=\"\" \/><\/a><br \/>\n80\u00d780\u7684\u951a\u6846<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_with_grid_80x80.jpg\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_with_grid_80x80.jpg\" alt=\"\" \/><\/a><br \/>\n<strong>\u4f18\u70b9<\/strong>\uff1a<\/p>\n<ul>\n<li>\u76f8\u5bf9\u5bb9\u6613\u5b9e\u73b0\u548c\u8bad\u7ec3\u3002<\/li>\n<li>\u53ef\u4ee5\u5904\u7406\u591a\u5c3a\u5ea6\u76ee\u6807\u548c\u4e0d\u540c\u957f\u5bbd\u6bd4\u7684\u76ee\u6807\u3002<\/li>\n<\/ul>\n<p><strong>\u7f3a\u70b9<\/strong>\uff1a<\/p>\n<ul>\n<li>\u9700\u8981\u9884\u5b9a\u4e49\u5927\u91cf\u7684\u951a\u6846\uff0c\u589e\u52a0\u4e86\u8ba1\u7b97\u590d\u6742\u5ea6\u548c\u8bad\u7ec3\u96be\u5ea6\u3002<\/li>\n<li>\u5bf9\u4e8e\u4e0d\u89c4\u5219\u5f62\u72b6\u7684\u76ee\u6807\u53ef\u80fd\u4e0d\u591f\u7075\u6d3b\u3002<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"Anchor-free%EF%BC%88%E6%97%A0%E9%94%9A%E6%A1%86%EF%BC%89\"><\/span>Anchor-free\uff08\u65e0\u951a\u6846\uff09<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p><strong>\u5b9a\u4e49<\/strong>\uff1aAnchor-free \u65b9\u6cd5\u4e0d\u4f9d\u8d56\u4e8e\u9884\u5b9a\u4e49\u7684\u951a\u6846\uff0c\u800c\u662f\u76f4\u63a5\u9884\u6d4b\u76ee\u6807\u7684\u4f4d\u7f6e\u548c\u7c7b\u522b\u4fe1\u606f\u3002<br \/>\n<strong>\u6d41\u7a0b<\/strong>\uff1a<\/p>\n<ol>\n<li><strong>\u4e2d\u5fc3\u70b9\u68c0\u6d4b<\/strong>\uff1a\u9996\u5148\uff0c\u5728\u56fe\u50cf\u4e0a\u201c\u6492\u8c46\u5b50\u201d\uff08\u4e5f\u79f0\u4e3a\u201cCenterNet\u201d\uff09\uff0c\u5373\u5728\u56fe\u50cf\u7684\u6bcf\u4e2a\u4f4d\u7f6e\uff08\u50cf\u7d20\uff09\u5904\u9884\u6d4b\u76ee\u6807\u4e2d\u5fc3\u70b9\u7684\u5b58\u5728\u6982\u7387\u3002\u8fd9\u4e9b\u4e2d\u5fc3\u70b9\u901a\u5e38\u8868\u793a\u53ef\u80fd\u5b58\u5728\u76ee\u6807\u7684\u4f4d\u7f6e\u3002<\/li>\n<li><strong>\u8fb9\u754c\u6846\u9884\u6d4b<\/strong>\uff1a\u5bf9\u4e8e\u6bcf\u4e2a\u88ab\u9884\u6d4b\u4e3a\u76ee\u6807\u4e2d\u5fc3\u70b9\u7684\u4f4d\u7f6e\uff0c\u6a21\u578b\u4f1a\u8fdb\u4e00\u6b65\u9884\u6d4b\u76ee\u6807\u7684\u8fb9\u754c\u6846(\u5411\u4e0a\u4e0b\u5de6\u53f3\u751f\u957f\uff0c\u5957\u4f4f\u8981\u9884\u6d4b\u7684\u95ee\u9898)\u3002<\/li>\n<li><strong>\u540e\u5904\u7406<\/strong>\uff1a\u901a\u8fc7\u540e\u5904\u7406\u7b97\u6cd5\uff08\u5982\u975e\u6781\u5927\u503c\u6291\u5236\uff09\u6765\u7b5b\u9009\u548c\u4f18\u5316\u68c0\u6d4b\u7ed3\u679c\uff0c\u4ee5\u83b7\u5f97\u6700\u7ec8\u7684\u76ee\u6807\u68c0\u6d4b\u7ed3\u679c\u3002<\/li>\n<\/ol>\n<p><strong>\u6838\u5fc3\u601d\u60f3<\/strong>\uff1a<\/p>\n<ul>\n<li>\u4e2d\u5fc3\u70b9 + \u56db\u4e2a\u65b9\u5411\u7684\u751f\u957f<\/li>\n<\/ul>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_with_points_and_boxes_grid.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/animal_with_points_and_boxes_grid.png\" alt=\"\" \/><\/a><br \/>\n<strong>\u4f18\u70b9<\/strong>\uff1a<\/p>\n<ul>\n<li>\u66f4\u52a0\u7075\u6d3b\uff0c\u53ef\u4ee5\u9002\u5e94\u5404\u79cd\u76ee\u6807\u5f62\u72b6\u548c\u5c3a\u5ea6\u3002<\/li>\n<li>\u51cf\u5c11\u4e86\u9884\u5b9a\u4e49\u951a\u6846\u5e26\u6765\u7684\u8ba1\u7b97\u590d\u6742\u5ea6\u3002<\/li>\n<\/ul>\n<p><strong>\u7f3a\u70b9<\/strong>\uff1a<\/p>\n<ul>\n<li>\u76f8\u5bf9 Anchor-based \u65b9\u6cd5\uff0cAnchor-free \u65b9\u6cd5\u53ef\u80fd\u9700\u8981\u66f4\u591a\u7684\u8bad\u7ec3\u6570\u636e\u548c\u66f4\u590d\u6742\u7684\u7f51\u7edc\u7ed3\u6784\u3002<\/li>\n<li>\u5728\u5904\u7406\u5c0f\u76ee\u6807\u6216\u5bc6\u96c6\u76ee\u6807\u65f6\u53ef\u80fd\u6027\u80fd\u7565\u900a\u4e8e Anchor-based \u65b9\u6cd5\u3002<\/li>\n<\/ul>\n<p>\u76ee\u524d\uff0c\u76ee\u6807\u68c0\u6d4b\u57fa\u672c\u4f7f\u7528anchor-free\u7684\u65b9\u6cd5\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%9A%84%E4%B8%A4%E7%A7%8D%E7%AD%96%E7%95%A5\"><\/span>\u76ee\u6807\u68c0\u6d4b\u7684\u4e24\u79cd\u7b56\u7565<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u76ee\u6807\u68c0\u6d4b\u5177\u4f53\u7684\u5f00\u5c55\u7b56\u7565\u6709\u4e24\u79cd\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u65b9\u5f0f<\/th>\n<th>\u8fc7\u7a0b<\/th>\n<th>\u4ee3\u8868<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u65b9\u5f0f1<\/td>\n<td>1. \u5148\u5bf9\u8f93\u5165\u56fe\u50cf\u8fdb\u884c\u5207\u7247\u3002 <br \/> 2. \u5bf9\u6bcf\u4e00\u7247\u8fdb\u884c\u7279\u5f81\u63d0\u53d6\u3002 <br \/> 3. \u5bf9\u63d0\u53d6\u7684\u7279\u5f81\u8fdb\u884c\u5206\u7c7b\u548c\u56de\u5f52\u3002<\/td>\n<td>MTCNN<\/td>\n<\/tr>\n<tr>\n<td>\u65b9\u5f0f2<\/td>\n<td>1. \u5148\u5bf9\u8f93\u5165\u56fe\u50cf\u8fdb\u884c\u7279\u5f81\u63d0\u53d6\u3002 <br \/> 2. \u5bf9\u63d0\u53d6\u7684\u7279\u5f81\u8fdb\u884c\u5207\u7247\u3002 <br \/> 3. \u5bf9\u6bcf\u4e00\u7247\u8fdb\u884c\u5206\u7c7b\u548c\u56de\u5f52\u3002<\/td>\n<td>YOLO<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"%E4%B8%A4%E4%B8%AA%E4%BE%8B%E5%AD%90\"><\/span>\u4e24\u4e2a\u4f8b\u5b50<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u83b7\u53d6\u89c6\u9891\u5934\u5185\u5bb9\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b<\/p>\n<pre><code class=\"language-python\">from ultralytics import YOLO\nimport cv2\n\n# \u52a0\u8f7dYOLO\u6a21\u578b\nmodel = YOLO(&quot;yolov8n.pt&quot;)\n\ncap = cv2.VideoCapture(0)\n\nwhile cap.isOpened():\n    # \u8bfb\u53d6\u89c6\u9891\u5e27\n    ret, frame = cap.read()\n    if not ret:\n        break\n\n    # \u4f7f\u7528YOLO\u6a21\u578b\u68c0\u6d4b\u7269\u4f53\n    results = model(frame)\n\n    # \u7ed8\u5236\u9884\u6d4b\u7ed3\u679c\n    img = results[0].plot()\n\n    # \u663e\u793a\u68c0\u6d4b\u7ed3\u679c\n    cv2.imshow(&quot;frame&quot;, img)\n\n    if cv2.waitKey(1) == ord(&quot;q&quot;):\n        break\n\n# \u91ca\u653e\u8d44\u6e90\ncap.release()\ncv2.destroyAllWindows()<\/code><\/pre>\n<p>\u8fd0\u884c\u4ee5\u4e0a\u4ee3\u7801\uff0cYOLO\u53ef\u4ee5\u5c06\u6444\u50cf\u5934\u4e2d\u7684\u89c6\u9891\u6309\u5e27\u9010\u5e27\u68c0\u6d4b\u7269\u4f53\u3002<\/p>\n<p>\u8bfb\u53d6\u56fe\u7247\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b<\/p>\n<pre><code class=\"language-python\">import cv2\nfrom ultralytics import YOLO\nimport os\n\n# \u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\uff0c\u89e3\u51b3OMP: Error #15: Initializing libiomp5.dylib, but found libiomp5.dylib already initialized\u7684\u95ee\u9898\nos.environ[&quot;KMP_DUPLICATE_LIB_OK&quot;] = &quot;TRUE&quot;\n\n# \u52a0\u8f7d\u6a21\u578b\nmodel = YOLO(&quot;yolov8n.pt&quot;)  # \u4f7f\u7528\u9884\u8bad\u7ec3\u6a21\u578b\u6743\u91cd\n\n# \u8bfb\u53d6\u56fe\u7247\nimage = cv2.imread(&quot;animal.png&quot;)\n\n# \u9884\u6d4b\nresults = model(image)\n\nresult = results[0]\nimg = result.plot()\n\nfrom matplotlib import pyplot as plt\n\n# \u5bf9\u5bf9\u8c61\u8fdb\u884c\u53ef\u89c6\u5316\uff0c\u4eceRGB\u8f6c\u6362\u4e3aBGR\nplt.imshow(X=img[:, :, ::-1])\n<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u52a8\u7269\u76ee\u6807\u68c0\u6d4b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u52a8\u7269\u76ee\u6807\u68c0\u6d4b.png\" alt=\"\" \/><\/a><\/p>\n<p>\u901a\u8fc7\u67e5\u770b<code>result<\/code>\u7684\u5185\u5bb9\uff0c\u53ef\u4ee5\u5f97\u5230\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/result\u8be6\u7ec6\u5185\u5bb9.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/result\u8be6\u7ec6\u5185\u5bb9.png\" alt=\"\" \/><\/a><\/p>\n<p><code>cls<\/code>: \u8868\u793a\u68c0\u6d4b\u5230\u7684\u7269\u4f53\u7c7b\u522b\uff0c\u662f\u4e00\u4e2a\u5305\u542b\u7c7b\u522b\u6807\u8bc6\u53f7\u7684\u5f20\u91cf\u3002<\/p>\n<blockquote>\n<p>\u4f8b\u5982\uff1a\u4e0a\u4f8b\u5206\u522b\u4e3a\u7c7b\u522b22\u300122\u300122\u300123\u548c0\u3002\u8fd9\u610f\u5473\u7740\u6a21\u578b\u5728\u56fe\u50cf\u4e2d\u68c0\u6d4b\u5230\u4e86\u4e0d\u540c\u7c7b\u522b\u7684\u7269\u4f53\u3002<\/p>\n<\/blockquote>\n<p><code>conf<\/code>: \u8868\u793a\u7f6e\u4fe1\u5ea6\uff0c\u5373\u6a21\u578b\u5bf9\u68c0\u6d4b\u7ed3\u679c\u7684\u4fe1\u5fc3\u7a0b\u5ea6\uff0c\u662f\u4e00\u4e2a\u5305\u542b\u7f6e\u4fe1\u5ea6\u503c\u7684\u5f20\u91cf\u3002<\/p>\n<blockquote>\n<p>\u4f8b\u5982\uff1a\u4e0a\u4f8b\u5206\u522b\u4e3a[0.9189, 0.9098, 0.8850, 0.8815, 0.2930]\u8868\u793a\u6a21\u578b\u5bf9\u6bcf\u4e2a\u68c0\u6d4b\u7ed3\u679c\u7684\u7f6e\u4fe1\u5ea6\uff0c\u7f6e\u4fe1\u5ea6\u503c\u8d8a\u9ad8\uff0c\u8868\u793a\u6a21\u578b\u5bf9\u8be5\u68c0\u6d4b\u7ed3\u679c\u7684\u4fe1\u5fc3\u7a0b\u5ea6\u8d8a\u9ad8\u3002<\/p>\n<\/blockquote>\n<p><code>data<\/code>: \u5305\u542b\u4e86\u68c0\u6d4b\u7ed3\u679c\u7684\u8be6\u7ec6\u6570\u636e\uff0c\u5982\u8fb9\u754c\u6846\u5750\u6807\u3001\u7f6e\u4fe1\u5ea6\u3001\u7c7b\u522b\u7b49\u4fe1\u606f\u3002<\/p>\n<blockquote>\n<p>\u4f8b\u5982\uff1a\u7b2c\u4e00\u884c\u6570\u636e[7.6884e+02, 5.6770e+02, 9.7418e+02, 7.7100e+02, 9.1892e-01, 22]\u8868\u793a\u4e00\u4e2a\u8fb9\u754c\u6846\u7684\u5de6\u4e0a\u89d2\u548c\u53f3\u4e0b\u89d2\u5750\u6807\u3001\u7f6e\u4fe1\u5ea6\u548c\u7c7b\u522b\u3002<\/p>\n<\/blockquote>\n<p><code>shape<\/code>: \u7ed3\u679c\u5f20\u91cf\u7684\u5f62\u72b6\u3002<\/p>\n<blockquote>\n<p>\u4f8b\u5982\uff1a[5, 6]\u8868\u793a\u8fd9\u4e2a\u5f20\u91cf\u662f\u4e00\u4e2a\u4e8c\u7ef4\u5f20\u91cf\uff0c\u4e0a\u56fe\u4e2d\u4e00\u5171\u9884\u6d4b\u4e865\u4e2a\u76ee\u6807\u68c0\u6d4b\u7ed3\u679c\u3002<\/p>\n<\/blockquote>\n<p><code>xywh<\/code>: \u8868\u793a\u8fb9\u754c\u6846\u7684\u4e2d\u5fc3\u5750\u6807\u3001\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002<\/p>\n<blockquote>\n<p>\u4f8b\u5982\uff1a[[871.5070, 669.3497, 205.3398, 203.3070], [322.5407, 673.7639, 251.3661, 181.0720], &#8230;]\u8868\u793a\u4e86\u6bcf\u4e2a\u68c0\u6d4b\u7ed3\u679c\u7684\u8fb9\u754c\u6846\u4fe1\u606f\u3002<\/p>\n<\/blockquote>\n<p><code>xyxy<\/code>: \u8868\u793a\u8fb9\u754c\u6846\u7684\u5de6\u4e0a\u89d2\u548c\u53f3\u4e0b\u89d2\u5750\u6807\u3002<\/p>\n<blockquote>\n<p>\u4f8b\u5982\uff1a[[768.8371, 567.6962, 974.1769, 771.0032], [196.8576, 583.2280, 448.2238, 764.2999], &#8230;]\u8868\u793a\u4e86\u6bcf\u4e2a\u68c0\u6d4b\u7ed3\u679c\u7684\u8fb9\u754c\u6846\u7684\u5de6\u4e0a\u89d2\u548c\u53f3\u4e0b\u89d2\u5750\u6807\u3002<\/p>\n<\/blockquote>\n<h2><span class=\"ez-toc-section\" id=\"%E8%87%AA%E5%AE%9A%E4%B9%89%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83\"><\/span>\u81ea\u5b9a\u4e49\u6a21\u578b\u8bad\u7ec3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u4ee5\u4e0a\u7684\u76ee\u6807\u68c0\u6d4b\u90fd\u662f\u57fa\u4e8e\u9884\u5148\u8bad\u7ec3\u597d\u7684\u6a21\u578b\uff0c\u5982\u679c\u60f3\u81ea\u4e3b\u5b9e\u73b0\u4e00\u4e2a\u6a21\u578b\u7684\u8bad\u7ec3\u4ee5\u53ca\u76ee\u6807\u68c0\u6d4b\uff0c\u5177\u4f53\u6d41\u7a0b\u5982\u4e0b\uff1a<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E5%87%86%E5%A4%87\"><\/span>\u6570\u636e\u51c6\u5907<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u4e3a\u4e86\u66f4\u52a0\u63a5\u8fd1\u5b9e\u6218\uff0c\u6211\u8ba1\u5212\u5728\u5929\u6c60\u53ca\u98de\u6868\u793e\u533a\u627e\u4e00\u4efd\u6570\u636e\u96c6\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b\u7684\u6a21\u578b\u8bad\u7ec3\u3002<\/p>\n<p><strong>\u6570\u636e\u96c6\u5730\u5740<\/strong>\uff1a<a href=\"https:\/\/aistudio.baidu.com\/datasetdetail\/91732\">https:\/\/aistudio.baidu.com\/datasetdetail\/91732<\/a><br \/>\n<strong>\u6570\u636e\u96c6\u7b80\u8ff0<\/strong>\uff1a<br \/>\n\u4e00\u4e2a\u7406\u60f3\u7684\u667a\u80fd\u96f6\u552e\u7ed3\u7b97\u7cfb\u7edf\u5e94\u5f53\u80fd\u591f\u7cbe\u51c6\u5730\u8bc6\u522b\u6bcf\u4e00\u4e2a\u5546\u54c1\uff0c\u5e76\u4e14\u80fd\u591f\u8fd4\u56de\u5b8c\u6574\u5730\u8d2d\u7269\u6e05\u5355\u53ca\u987e\u5ba2\u5e94\u4ed8\u7684\u5b9e\u9645\u5546\u54c1\u603b\u4ef7\u683c\u3002\u8fd9\u662f\u4e00\u4efd\u667a\u80fd\u96f6\u552e\u67dc\u8bc6\u522b\u7684\u56fe\u7247\u6570\u636e\u96c6\uff0c\u975e\u5e38\u9002\u7528\u4e8e\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u6570\u636e\u96c6.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u6570\u636e\u96c6.png\" alt=\"\" \/><\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90\"><\/span>\u6570\u636e\u5206\u6790<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u7531\u4e8e\u8be5\u6570\u636e\u96c6\u91c7\u7528VOC\u683c\u5f0f\uff0c\u5176\u5185\u5bb9\u5f62\u5f0f\u4e0eYOLOv8\u7684\u683c\u5f0f\u4e0d\u540c\uff0c\u6240\u4ee5\u6211\u4eec\u9700\u8981\u505a\u76f8\u5173\u7684\u5904\u7406\u3002<\/p>\n<p>VOC\u6570\u636e\u96c6\u76ee\u5f55\u683c\u5f0f\uff1a<\/p>\n<pre><code class=\"language-shell\">\u6211\u6709\u4e00\u4e2aVOC\u7684\u76ee\u6807\u68c0\u6d4b\u6570\u636e\u96c6\uff0c\u5176\u76ee\u5f55\u7ed3\u6784\u4e3a\uff1a\n\nVOC\n|-Annotations\n   |-ori_000_XYGOC20200313162026456_1.xml\n   |-ori_000_XYGOC20200313162953549_1.xml\n   |-ori_001_11_0.xml\n   |-ori_001_4_0.xml\n   |-ori_001_6_0.xml\n   |-ori_t1_TEST20191101164758498_1.xml\n   |-ori_t1_TEST20191101164829232_1.xml\n   |-...\n|-JPEGImages\n   |-ori_000_XYGOC20200313162026456_1.jpg\n   |-ori_000_XYGOC20200313162953549_1.jpg\n   |-ori_001_11_0.jpg\n   |-ori_001_4_0.jpg\n   |-ori_001_6_0.jpg\n   |-ori_t1_TEST20191101164758498_1.jpg\n   |-ori_t1_TEST20191101164829232_1.jpg\n   |-...\n|-labels.txt\n|-test_list.txt\n|-train_list.txt\n|-val_list.txt<\/code><\/pre>\n<pre><code class=\"language-shell\"># labels.txt\u7684\u5185\u5bb9\u683c\u5f0f\u4e3a\u5982\u4e0b\uff1a\n3+2-2\n3jia2\naerbeisi\nanmuxi\naoliao\nasamu\nbaicha\nbaishikele\n...\n\n# train_list.txt\u5185\u5bb9\u683c\u5f0f\u5982\u4e0b\uff1a\nJPEGImages\/ori_XYGOC2021042115092870201IK-4_0.jpg Annotations\/ori_XYGOC2021042115092870201IK-4_0.xml\nJPEGImages\/ori_XYGOC2021010413165585501IK-3_0.jpg Annotations\/ori_XYGOC2021010413165585501IK-3_0.xml<\/code><\/pre>\n<p>YOLOv8\u6570\u636e\u96c6\u7684\u76ee\u5f55\u7ed3\u6784<\/p>\n<pre><code>|-images\n   |-train\n      |-ori_000_XYGOC20200313162026456_1.jpg\n      ...\n   |-val\n      |-ori_t1_TEST20191101164758498_1.jpg\n      ...\n|-lables\n   |-train\n      |-ori_000_XYGOC20200313162026456_1.txt\n   |-val\n      |-ori_t1_TEST20191101164829232_1.txt<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E8%BD%AC%E6%8D%A2\"><\/span>\u6570\u636e\u8f6c\u6362<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<h5><span class=\"ez-toc-section\" id=\"1_%E5%88%9B%E5%BB%BADataset%E6%A0%B9%E7%9B%AE%E5%BD%95\"><\/span>1. \u521b\u5efaDataset\u6839\u76ee\u5f55<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">import os\n\n# \u521b\u5efaDataset\u6839\u76ee\u5f55\uff0c\u540c\u65f6\u6309\u7167YOLO\u7684\u683c\u5f0f\u5206\u522b\u521b\u5efatrain\u548cval\u76ee\u5f55\ndef create_directories(base_dir):\n    dirs = [\n        os.path.join(base_dir, &quot;images\/train&quot;),\n        os.path.join(base_dir, &quot;images\/val&quot;),\n        os.path.join(base_dir, &quot;labels\/train&quot;),\n        os.path.join(base_dir, &quot;labels\/val&quot;)\n    ]\n    for dir in dirs:\n        os.makedirs(dir, exist_ok=True)<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"2_%E8%AF%BB%E5%8F%96classes%E7%B1%BB%E5%88%AB\"><\/span>2. \u8bfb\u53d6classes\u7c7b\u522b<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">def read_classes(classes_file):\n    &quot;&quot;&quot;\n    \u4ece\u7c7b\u522b\u6587\u4ef6\u4e2d\u8bfb\u53d6\u7c7b\u522b\u540d\u79f0\uff0c\u5e76\u8fd4\u56de\u7c7b\u522b\u540d\u79f0\u4e0e\u7d22\u5f15\u7684\u6620\u5c04\u5b57\u5178\u3002\n\n    \u53c2\u6570:\n    - classes_file (str): \u7c7b\u522b\u6587\u4ef6\u8def\u5f84\n\n    \u8fd4\u56de:\n    - classes (dict): \u7c7b\u522b\u540d\u79f0\u4e0e\u7d22\u5f15\u7684\u6620\u5c04\u5b57\u5178\n    &quot;&quot;&quot;\n    classes = {}\n    with open(classes_file, &quot;r&quot;) as f:\n        lines = f.readlines()\n        for index, line in enumerate(lines):\n            class_name = line.strip()\n            classes[index] = class_name\n    return classes\n<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"3_%E8%AF%BB%E5%8F%96xml%E6%96%87%E4%BB%B6%E5%B9%B6%E8%BD%AC%E6%8D%A2%E4%B8%BAyolo%E6%A0%BC%E5%BC%8F\"><\/span>3. \u8bfb\u53d6xml\u6587\u4ef6\u5e76\u8f6c\u6362\u4e3ayolo\u683c\u5f0f<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">def parse_xml(xml_path, classes_dict):\n    &quot;&quot;&quot;\n    \u89e3\u6790XML\u6587\u4ef6\uff0c\u83b7\u53d6\u56fe\u50cf\u7684\u5bbd\u5ea6\u3001\u9ad8\u5ea6\u4ee5\u53ca\u5bf9\u8c61\u7684\u7c7b\u522b\u548c\u8fb9\u754c\u6846\u5750\u6807\u3002\n\n    \u53c2\u6570:\n    - xml_path (str): XML\u6587\u4ef6\u8def\u5f84\n\n    \u8fd4\u56de:\n    - width (int): \u56fe\u50cf\u5bbd\u5ea6\n    - height (int): \u56fe\u50cf\u9ad8\u5ea6\n    - objects (list): \u5305\u542b\u5bf9\u8c61\u4fe1\u606f\u7684\u5217\u8868\uff0c\u6bcf\u4e2a\u5bf9\u8c61\u4fe1\u606f\u5305\u62ec\u7c7b\u522b\u548c\u8fb9\u754c\u6846\u5750\u6807\n    &quot;&quot;&quot;\n    tree = ET.parse(xml_path)\n    root = tree.getroot()\n    size = root.find(&quot;size&quot;)\n    width = int(size.find(&quot;width&quot;).text)\n    height = int(size.find(&quot;height&quot;).text)\n    objects = []\n    for obj in root.findall(&quot;object&quot;):\n        name = obj.find(&quot;name&quot;).text\n        label_index = get_label_index(name, classes_dict)\n        bndbox = obj.find(&quot;bndbox&quot;)\n        xmin = int(bndbox.find(&quot;xmin&quot;).text)\n        ymin = int(bndbox.find(&quot;ymin&quot;).text)\n        xmax = int(bndbox.find(&quot;xmax&quot;).text)\n        ymax = int(bndbox.find(&quot;ymax&quot;).text)\n        objects.append({&quot;label_index&quot;: label_index, &quot;xmin&quot;: xmin, &quot;ymin&quot;: ymin, &quot;xmax&quot;: xmax, &quot;ymax&quot;: ymax})\n    return width, height, objects\n\ndef convert_to_yolo_format(width, height, obj):\n    &quot;&quot;&quot;\n    \u5c06\u5bf9\u8c61\u4fe1\u606f\u8f6c\u6362\u4e3a\u9002\u5408YOLO\u683c\u5f0f\u7684\u5750\u6807\u3002\n\n    \u53c2\u6570:\n    - width (int): \u56fe\u50cf\u5bbd\u5ea6\n    - height (int): \u56fe\u50cf\u9ad8\u5ea6\n    - obj (dict): \u5305\u542b\u5bf9\u8c61\u4fe1\u606f\u7684\u5b57\u5178\uff0c\u5305\u62ec\u7c7b\u522b\u548c\u8fb9\u754c\u6846\u5750\u6807\n    &quot;&quot;&quot;\n    x_center = (obj[&quot;xmin&quot;] + obj[&quot;xmax&quot;]) \/ 2 \/ width\n    y_center = (obj[&quot;ymin&quot;] + obj[&quot;ymax&quot;]) \/ 2 \/ height\n    w = (obj[&quot;xmax&quot;] - obj[&quot;xmin&quot;]) \/ width\n    h = (obj[&quot;ymax&quot;] - obj[&quot;ymin&quot;]) \/ height\n    return x_center, y_center, w, h\n<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"4_%E5%B0%86xml%E6%96%87%E4%BB%B6%E8%BD%AC%E6%8D%A2%E4%B8%BAtxt%E6%96%87%E4%BB%B6\"><\/span>4. \u5c06xml\u6587\u4ef6\u8f6c\u6362\u4e3atxt\u6587\u4ef6<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">\ndef write_txt_file(file_path, content):\n    &quot;&quot;&quot;\n    \u521b\u5efa\u6216\u5199\u5165\u5185\u5bb9\u5230.txt\u6587\u4ef6\n\n    \u53c2\u6570:\n    - file_path (str): \u76ee\u6807.txt\u6587\u4ef6\u8def\u5f84\n    - content (str): \u5199\u5165\u6587\u4ef6\u7684\u5185\u5bb9\n    &quot;&quot;&quot;\n    try:\n        if not os.path.exists(file_path):\n            open(file_path, &#039;w&#039;).close()  # \u521b\u5efa\u7a7a\u7684\u76ee\u6807\u6587\u4ef6\n\n        with open(file_path, &quot;a&quot;) as f:\n            f.write(content)\n        print(f&quot;\u6210\u529f\u5199\u5165\u6587\u4ef6 {file_path}&quot;)\n    except Exception as e:\n        print(f&quot;\u5199\u5165\u6587\u4ef6\u65f6\u53d1\u751f\u5f02\u5e38: {e}&quot;)\n\ndef process_VOC_data(root_dir, train_list_file, images_dst, labels_dst, classes_dict):\n    &quot;&quot;&quot;\n    \u4eceVOC\u6570\u636e\u96c6\u4e2d\u8bfb\u53d6\u8bad\u7ec3\u5217\u8868\u6587\u4ef6\uff0c\u89e3\u6790xml\u6587\u4ef6\u5e76\u5c06\u56fe\u50cf\u590d\u5236\u5230\u76ee\u6807\u76ee\u5f55\u4e2d\uff0c\u5e76\u5c06\u7c7b\u522b\u548cbbox\u4fe1\u606f\u5199\u5165\u6807\u7b7e\u6587\u4ef6\u4e2d\u3002\n\n    \u53c2\u6570:\n    - root_dir (str): VOC\u6570\u636e\u96c6\u7684\u6839\u76ee\u5f55\n    - train_list_file (str): \u8bad\u7ec3\u5217\u8868\u6587\u4ef6\u8def\u5f84\n    - image_folder (str): \u56fe\u50cf\u6587\u4ef6\u5939\u7684\u76f8\u5bf9\u8def\u5f84\n    - images_dst (str): \u56fe\u50cf\u76ee\u6807\u76ee\u5f55\n    - labels_dst (str): \u6807\u7b7e\u76ee\u6807\u76ee\u5f55\n    &quot;&quot;&quot;\n    with open(train_list_file, &quot;r&quot;) as f:\n        lines = f.readlines()\n        # \u9010\u884c\u8bfb\u53d6\u5217\u8868\u6587\u4ef6\n        for line in lines:\n            line = line.strip()\n            image_path, xml_path = line.split(&quot; &quot;)\n            # \u83b7\u53d6xml\u6587\u4ef6\u7edd\u5bf9\u8def\u5f84\n            xml_path = os.path.join(root_dir, xml_path)\n            # \u83b7\u53d6image\u6587\u4ef6\u7edd\u5bf9\u8def\u5f84\n            image_path = os.path.join(root_dir, image_path)\n\n            width, height, objects = parse_xml(xml_path, classes_dict)\n\n            copy_image(image_path, images_dst)\n\n            for obj in objects:\n                label_name = os.path.splitext(os.path.basename(image_path))[0] + &quot;.txt&quot;\n                label_dst = os.path.join(labels_dst, label_name)\n                yolo_format = convert_to_yolo_format(width, height, obj)\n                content = f&quot;{obj[&#039;label_index&#039;]} {yolo_format[0]} {yolo_format[1]} {yolo_format[2]} {yolo_format[3]}\\n&quot;\n                write_txt_file(label_dst, content)\n<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"5_%E4%BF%9D%E5%AD%98txt%E6%96%87%E4%BB%B6%E5%88%B0%E6%96%B0%E7%9B%AE%E5%BD%95%E4%B8%8B%EF%BC%8C%E5%90%8C%E6%97%B6%E6%8B%B7%E8%B4%9D%E5%9B%BE%E5%83%8F\"><\/span>5. \u4fdd\u5b58.txt\u6587\u4ef6\u5230\u65b0\u76ee\u5f55\u4e0b\uff0c\u540c\u65f6\u62f7\u8d1d\u56fe\u50cf<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">def copy_image(image_path, images_dst):\n    &quot;&quot;&quot;\n    \u5c06\u56fe\u50cf\u4ece\u539f\u8def\u5f84\u590d\u5236\u5230\u76ee\u6807\u8def\u5f84\u3002\n\n    \u53c2\u6570:\n    - image_path (str): \u539f\u56fe\u50cf\u8def\u5f84\n    - images_dst (str): \u76ee\u6807\u56fe\u50cf\u8def\u5f84\n    &quot;&quot;&quot;\n    image_name = os.path.basename(image_path)\n    image_dst = os.path.join(images_dst, image_name)\n\n    if not os.path.exists(image_path):\n        print(f&quot;\u539f\u56fe\u50cf\u8def\u5f84 &#039;{image_path}&#039; \u672a\u627e\u5230\u6587\u4ef6&quot;)\n        return\n\n    if os.path.exists(image_dst):\n        print(f&quot;\u76ee\u6807\u8def\u5f84 &#039;{image_dst}&#039; \u4e2d\u5df2\u5b58\u5728\u540c\u540d\u56fe\u50cf\u6587\u4ef6&quot;)\n        return\n\n    try:\n        shutil.copy(image_path, image_dst)\n        print(f&quot;\u6210\u529f\u590d\u5236\u56fe\u50cf {image_name} \u5230\u76ee\u6807\u76ee\u5f55&quot;)\n    except Exception as e:\n        print(f&quot;\u62f7\u8d1d\u56fe\u50cf\u65f6\u53d1\u751f\u5f02\u5e38: {e}&quot;)<\/code><\/pre>\n<p>\u5b8c\u6574\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">import xml.etree.ElementTree as ET\nimport shutil\nimport os\n\n# \u521b\u5efaDataset\u6839\u76ee\u5f55\uff0c\u540c\u65f6\u6309\u7167YOLO\u7684\u683c\u5f0f\u5206\u522b\u521b\u5efatrain\u548cval\u76ee\u5f55\ndef create_directories(base_dir):\n    dirs = [\n        os.path.join(base_dir, &quot;images\/train&quot;),\n        os.path.join(base_dir, &quot;images\/val&quot;),\n        os.path.join(base_dir, &quot;labels\/train&quot;),\n        os.path.join(base_dir, &quot;labels\/val&quot;)\n    ]\n    for dir in dirs:\n        os.makedirs(dir, exist_ok=True)\n\ndef get_label_index(name, classes_dict):\n    &quot;&quot;&quot;\n    \u6839\u636e\u7c7b\u522b\u540d\u79f0\u4ece\u7c7b\u522b\u5b57\u5178\u4e2d\u83b7\u53d6\u5bf9\u5e94\u7684\u5e8f\u53f7\u3002\n\n    \u53c2\u6570:\n    - name (str): \u7c7b\u522b\u540d\u79f0\n    - classes_dict (dict): \u5305\u542b\u7c7b\u522b\u540d\u79f0\u548c\u5bf9\u5e94\u5e8f\u53f7\u7684\u5b57\u5178\n\n    \u8fd4\u56de:\n    - label_index (int): \u7c7b\u522b\u540d\u79f0\u5bf9\u5e94\u7684\u5e8f\u53f7\uff0c\u5982\u679c\u4e0d\u5b58\u5728\u5219\u8fd4\u56de-1\n    &quot;&quot;&quot;\n    label_index = -1\n    for key, value in classes_dict.items():\n        if value == name:\n            label_index = key\n            break\n    return label_index\n\ndef parse_xml(xml_path, classes_dict):\n    &quot;&quot;&quot;\n    \u89e3\u6790XML\u6587\u4ef6\uff0c\u83b7\u53d6\u56fe\u50cf\u7684\u5bbd\u5ea6\u3001\u9ad8\u5ea6\u4ee5\u53ca\u5bf9\u8c61\u7684\u7c7b\u522b\u548c\u8fb9\u754c\u6846\u5750\u6807\u3002\n\n    \u53c2\u6570:\n    - xml_path (str): XML\u6587\u4ef6\u8def\u5f84\n\n    \u8fd4\u56de:\n    - width (int): \u56fe\u50cf\u5bbd\u5ea6\n    - height (int): \u56fe\u50cf\u9ad8\u5ea6\n    - objects (list): \u5305\u542b\u5bf9\u8c61\u4fe1\u606f\u7684\u5217\u8868\uff0c\u6bcf\u4e2a\u5bf9\u8c61\u4fe1\u606f\u5305\u62ec\u7c7b\u522b\u548c\u8fb9\u754c\u6846\u5750\u6807\n    &quot;&quot;&quot;\n    tree = ET.parse(xml_path)\n    root = tree.getroot()\n    size = root.find(&quot;size&quot;)\n    width = int(size.find(&quot;width&quot;).text)\n    height = int(size.find(&quot;height&quot;).text)\n    objects = []\n    for obj in root.findall(&quot;object&quot;):\n        name = obj.find(&quot;name&quot;).text\n        label_index = get_label_index(name, classes_dict)\n        bndbox = obj.find(&quot;bndbox&quot;)\n        xmin = int(bndbox.find(&quot;xmin&quot;).text)\n        ymin = int(bndbox.find(&quot;ymin&quot;).text)\n        xmax = int(bndbox.find(&quot;xmax&quot;).text)\n        ymax = int(bndbox.find(&quot;ymax&quot;).text)\n        objects.append({&quot;label_index&quot;: label_index, &quot;xmin&quot;: xmin, &quot;ymin&quot;: ymin, &quot;xmax&quot;: xmax, &quot;ymax&quot;: ymax})\n    return width, height, objects\n\ndef convert_to_yolo_format(width, height, obj):\n    &quot;&quot;&quot;\n    \u5c06\u5bf9\u8c61\u4fe1\u606f\u8f6c\u6362\u4e3a\u9002\u5408YOLO\u683c\u5f0f\u7684\u5750\u6807\u3002\n\n    \u53c2\u6570:\n    - width (int): \u56fe\u50cf\u5bbd\u5ea6\n    - height (int): \u56fe\u50cf\u9ad8\u5ea6\n    - obj (dict): \u5305\u542b\u5bf9\u8c61\u4fe1\u606f\u7684\u5b57\u5178\uff0c\u5305\u62ec\u7c7b\u522b\u548c\u8fb9\u754c\u6846\u5750\u6807\n    &quot;&quot;&quot;\n    x_center = (obj[&quot;xmin&quot;] + obj[&quot;xmax&quot;]) \/ 2 \/ width\n    y_center = (obj[&quot;ymin&quot;] + obj[&quot;ymax&quot;]) \/ 2 \/ height\n    w = (obj[&quot;xmax&quot;] - obj[&quot;xmin&quot;]) \/ width\n    h = (obj[&quot;ymax&quot;] - obj[&quot;ymin&quot;]) \/ height\n    return x_center, y_center, w, h\n\ndef copy_image(image_path, images_dst):\n    &quot;&quot;&quot;\n    \u5c06\u56fe\u50cf\u4ece\u539f\u8def\u5f84\u590d\u5236\u5230\u76ee\u6807\u8def\u5f84\u3002\n\n    \u53c2\u6570:\n    - image_path (str): \u539f\u56fe\u50cf\u8def\u5f84\n    - images_dst (str): \u76ee\u6807\u56fe\u50cf\u8def\u5f84\n    &quot;&quot;&quot;\n    image_name = os.path.basename(image_path)\n    image_dst = os.path.join(images_dst, image_name)\n\n    if not os.path.exists(image_path):\n        print(f&quot;\u539f\u56fe\u50cf\u8def\u5f84 &#039;{image_path}&#039; \u672a\u627e\u5230\u6587\u4ef6&quot;)\n        return\n\n    if os.path.exists(image_dst):\n        print(f&quot;\u76ee\u6807\u8def\u5f84 &#039;{image_dst}&#039; \u4e2d\u5df2\u5b58\u5728\u540c\u540d\u56fe\u50cf\u6587\u4ef6&quot;)\n        return\n\n    try:\n        shutil.copy(image_path, image_dst)\n        print(f&quot;\u6210\u529f\u590d\u5236\u56fe\u50cf {image_name} \u5230\u76ee\u6807\u76ee\u5f55&quot;)\n    except Exception as e:\n        print(f&quot;\u62f7\u8d1d\u56fe\u50cf\u65f6\u53d1\u751f\u5f02\u5e38: {e}&quot;)\n\ndef write_txt_file(file_path, content):\n    &quot;&quot;&quot;\n    \u521b\u5efa\u6216\u5199\u5165\u5185\u5bb9\u5230.txt\u6587\u4ef6\n\n    \u53c2\u6570:\n    - file_path (str): \u76ee\u6807.txt\u6587\u4ef6\u8def\u5f84\n    - content (str): \u5199\u5165\u6587\u4ef6\u7684\u5185\u5bb9\n    &quot;&quot;&quot;\n    try:\n        if not os.path.exists(file_path):\n            open(file_path, &#039;w&#039;).close()  # \u521b\u5efa\u7a7a\u7684\u76ee\u6807\u6587\u4ef6\n\n        with open(file_path, &quot;a&quot;) as f:\n            f.write(content)\n        print(f&quot;\u6210\u529f\u5199\u5165\u6587\u4ef6 {file_path}&quot;)\n    except Exception as e:\n        print(f&quot;\u5199\u5165\u6587\u4ef6\u65f6\u53d1\u751f\u5f02\u5e38: {e}&quot;)\n\ndef process_VOC_data(root_dir, train_list_file, images_dst, labels_dst, classes_dict):\n    &quot;&quot;&quot;\n    \u4eceVOC\u6570\u636e\u96c6\u4e2d\u8bfb\u53d6\u8bad\u7ec3\u5217\u8868\u6587\u4ef6\uff0c\u89e3\u6790xml\u6587\u4ef6\u5e76\u5c06\u56fe\u50cf\u590d\u5236\u5230\u76ee\u6807\u76ee\u5f55\u4e2d\uff0c\u5e76\u5c06\u7c7b\u522b\u548cbbox\u4fe1\u606f\u5199\u5165\u6807\u7b7e\u6587\u4ef6\u4e2d\u3002\n\n    \u53c2\u6570:\n    - root_dir (str): VOC\u6570\u636e\u96c6\u7684\u6839\u76ee\u5f55\n    - train_list_file (str): \u8bad\u7ec3\u5217\u8868\u6587\u4ef6\u8def\u5f84\n    - image_folder (str): \u56fe\u50cf\u6587\u4ef6\u5939\u7684\u76f8\u5bf9\u8def\u5f84\n    - images_dst (str): \u56fe\u50cf\u76ee\u6807\u76ee\u5f55\n    - labels_dst (str): \u6807\u7b7e\u76ee\u6807\u76ee\u5f55\n    &quot;&quot;&quot;\n    with open(train_list_file, &quot;r&quot;) as f:\n        lines = f.readlines()\n        # \u9010\u884c\u8bfb\u53d6\u5217\u8868\u6587\u4ef6\n        for line in lines:\n            line = line.strip()\n            image_path, xml_path = line.split(&quot; &quot;)\n            # \u83b7\u53d6xml\u6587\u4ef6\u7edd\u5bf9\u8def\u5f84\n            xml_path = os.path.join(root_dir, xml_path)\n            # \u83b7\u53d6image\u6587\u4ef6\u7edd\u5bf9\u8def\u5f84\n            image_path = os.path.join(root_dir, image_path)\n\n            width, height, objects = parse_xml(xml_path, classes_dict)\n\n            copy_image(image_path, images_dst)\n\n            for obj in objects:\n                label_name = os.path.splitext(os.path.basename(image_path))[0] + &quot;.txt&quot;\n                label_dst = os.path.join(labels_dst, label_name)\n                yolo_format = convert_to_yolo_format(width, height, obj)\n                content = f&quot;{obj[&#039;label_index&#039;]} {yolo_format[0]} {yolo_format[1]} {yolo_format[2]} {yolo_format[3]}\\n&quot;\n                write_txt_file(label_dst, content)\n\ndef read_classes(classes_file):\n    &quot;&quot;&quot;\n    \u4ece\u7c7b\u522b\u6587\u4ef6\u4e2d\u8bfb\u53d6\u7c7b\u522b\u540d\u79f0\uff0c\u5e76\u8fd4\u56de\u7c7b\u522b\u540d\u79f0\u4e0e\u7d22\u5f15\u7684\u6620\u5c04\u5b57\u5178\u3002\n\n    \u53c2\u6570:\n    - classes_file (str): \u7c7b\u522b\u6587\u4ef6\u8def\u5f84\n\n    \u8fd4\u56de:\n    - classes (dict): \u7c7b\u522b\u540d\u79f0\u4e0e\u7d22\u5f15\u7684\u6620\u5c04\u5b57\u5178\n    &quot;&quot;&quot;\n    classes = {}\n    with open(classes_file, &quot;r&quot;) as f:\n        lines = f.readlines()\n        for index, line in enumerate(lines):\n            class_name = line.strip()\n            classes[index] = class_name\n    return classes\n\ndef generate_coco8_yaml_content(dataset_root, train_images, val_images, classes):\n    &quot;&quot;&quot;\n    \u751f\u6210\u7c7b\u4f3cCOCO8\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6\u7684\u5185\u5bb9\n\n    \u53c2\u6570:\n    - dataset_root (str): \u6570\u636e\u96c6\u6839\u76ee\u5f55\u8def\u5f84\n    - train_images (str): \u8bad\u7ec3\u56fe\u50cf\u76f8\u5bf9\u4e8e\u6839\u76ee\u5f55\u7684\u8def\u5f84\n    - val_images (str): \u9a8c\u8bc1\u56fe\u50cf\u76f8\u5bf9\u4e8e\u6839\u76ee\u5f55\u7684\u8def\u5f84\n    - classes (dict): \u7c7b\u522b\u540d\u79f0\u4e0e\u7d22\u5f15\u7684\u6620\u5c04\u5b57\u5178\n\n    \u8fd4\u56de:\n    - content (str): COCO8\u6570\u636e\u96c6\u914d\u7f6e\u6587\u4ef6\u5185\u5bb9\n    &quot;&quot;&quot;\n    content = f&quot;path: ..\/datasets\/{dataset_root} # dataset root dir\\n&quot;\n    content += f&quot;train: {train_images} # train images (relative to &#039;path&#039;) 4 images\\n&quot;\n    content += f&quot;val: {val_images} # val images (relative to &#039;path&#039;) 4 images\\n&quot;\n    content += &quot;test: # test images (optional)\\n\\n&quot;\n    content += &quot;# Classes\\n&quot;\n    content += &quot;names:\\n&quot;\n\n    for index, class_name in classes.items():\n        content += f&quot;  {index}: {class_name}\\n&quot;\n\n    return content\n\ndef write_yaml_file(file_path, content):\n    &quot;&quot;&quot;\n    \u521b\u5efa\u6216\u5199\u5165\u5185\u5bb9\u5230.yaml\u6587\u4ef6\n\n    \u53c2\u6570:\n    - file_path (str): \u76ee\u6807.yaml\u6587\u4ef6\u8def\u5f84\n    - content (str): \u5199\u5165\u6587\u4ef6\u7684\u5185\u5bb9\n    &quot;&quot;&quot;\n    try:\n        if not os.path.exists(file_path):\n            open(file_path, &#039;w&#039;).close()  # \u521b\u5efa\u7a7a\u7684\u76ee\u6807\u6587\u4ef6\n\n        with open(file_path, &quot;w&quot;) as f:\n            f.write(content)\n        print(f&quot;\u6210\u529f\u5199\u5165\u6587\u4ef6 {file_path}&quot;)\n    except Exception as e:\n        print(f&quot;\u5199\u5165\u6587\u4ef6\u65f6\u53d1\u751f\u5f02\u5e38: {e}&quot;)\n\nif __name__ == &quot;__main__&quot;:\n    # VOC\u6570\u636e\u96c6\u6839\u76ee\u5f55\n    root_dir = &quot;VOC&quot;\n    train_list_file = os.path.join(root_dir, &quot;train_list.txt&quot;)\n    test_list_file = os.path.join(root_dir, &quot;val_list.txt&quot;)\n    classes_file = &quot;VOC\/labels.txt&quot;\n\n    # \u8bbe\u7f6e\u8f6c\u6362\u540eYOLO\u7684\u56fe\u50cf\u548c\u6807\u7b7e\u76ee\u5f55\n    dataset_root = &quot;cabinet&quot;\n    train_images = &quot;images\/train&quot;\n    train_labels = &quot;labels\/train&quot;\n    val_images = &quot;images\/val&quot;\n    val_labels = &quot;labels\/val&quot;\n    yaml_file_name = &quot;cabinet.yaml&quot;\n\n    images_dst_train = os.path.join(dataset_root, train_images)\n    labels_dst_train = os.path.join(dataset_root, train_labels)\n\n    images_dst_test = os.path.join(dataset_root, val_images)\n    labels_dst_test = os.path.join(dataset_root, val_labels)\n\n    yaml_file = os.path.join(dataset_root, yaml_file_name)\n\n    # \u521b\u5efaYOLO\u6570\u636e\u96c6\u76ee\u5f55\n    create_directories(dataset_root)\n    # \u8bfb\u53d6\u7c7b\u522b\u6587\u4ef6\n    classes = read_classes(classes_file)\n\n    # \u8f6c\u6362\u8bad\u7ec3\u6570\u636e\u96c6\n    process_VOC_data(root_dir, train_list_file, images_dst_train, labels_dst_train, classes)\n    # \u8f6c\u6362\u6d4b\u8bd5\u6570\u636e\u96c6\n    process_VOC_data(root_dir, test_list_file, images_dst_test, labels_dst_test, classes)\n\n    # \u751f\u6210COCO8.yaml\u6587\u4ef6\n\n    content = generate_coco8_yaml_content(dataset_root, train_images, val_images, classes)\n    write_yaml_file(yaml_file, content)<\/code><\/pre>\n<p>\u4ee5\u4e0a\u8f6c\u6362\u540e\u7684\u6570\u636e\uff0c\u6211\u4e5f\u6253\u5305\u4e0a\u4f20\u5230\u7f51\u76d8\uff0c\u53ef\u76f4\u63a5\u4f7f\u7528\u3002<br \/>\n\u7f51\u76d8\u5730\u5740\uff1a<a href=\"https:\/\/pan.baidu.com\/s\/1DyoK7r_74OzrRdoogrtTKw?pwd=q4ww\">https:\/\/pan.baidu.com\/s\/1DyoK7r_74OzrRdoogrtTKw?pwd=q4ww<\/a> <\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83\"><\/span>\u6a21\u578b\u8bad\u7ec3<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u7b2c\u4e00\u6b65\uff1a\u62f7\u8d1d\u6570\u636e\u5230YOLO\u7684datasets\u76ee\u5f55\u4e0b<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u62f7\u8d1d\u6570\u636e\u96c6.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u62f7\u8d1d\u6570\u636e\u96c6.png\" alt=\"\" \/><\/a><\/p>\n<p>\u7b2c\u4e8c\u6b65\uff1a\u62f7\u8d1dcabinet.yaml\u6587\u4ef6\u5230YOLO\u7684cfg\\datasets\u76ee\u5f55\u4e0b<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u62f7\u8d1dyaml\u6587\u4ef6.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u62f7\u8d1dyaml\u6587\u4ef6.png\" alt=\"\" \/><\/a><\/p>\n<p>\u7b2c\u4e09\u6b65\uff1a\u4f7f\u7528\u547d\u4ee4\u884c\u8bad\u7ec3\u6a21\u578b<\/p>\n<pre><code class=\"language-python\">from ultralytics import YOLO\nimport cv2\n\nmodel = YOLO(&quot;yolov8n.yaml&quot;)\n\nif __name__ == &#039;__main__&#039;:\n    result = model.train(data=&quot;cabinet.yaml&quot;, \n                        epochs=10, \n                        imgsz=640,\n                        device=&#039;cuda&#039;,     # \u8bbe\u5907\u7c7b\u578b\uff0c\u8fd9\u91cc\u662f\u4f7f\u7528CUDA\u52a0\u901f\n                        # batch=2,           # \u6279\u91cf\u5927\u5c0f\n                        workers=8          # \u6570\u636e\u52a0\u8f7d\u7684\u5de5\u4f5c\u8fdb\u7a0b\u6570\n    )<\/code><\/pre>\n<p>\u8bad\u7ec3\u65f6\u663e\u5b58\u5360\u7528\u60c5\u51b5<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u8bad\u7ec3\u65f6GPU\u663e\u5b58\u5360\u7528.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u8bad\u7ec3\u65f6GPU\u663e\u5b58\u5360\u7528.png\" alt=\"\" \/><\/a><\/p>\n<p><strong>\u8bad\u7ec3\u7ed3\u679c<\/strong>\uff1a<br \/>\n\u8bad\u7ec3\u5b8c\u6bd5\u540e\uff0c\u5728run\\train*\u76ee\u5f55\u4e0b\u751f\u6210\u5bf9\u5e94\u7684\u8bad\u7ec3\u7ed3\u679c<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u8bad\u7ec3\u5b8c\u6bd5\u76ee\u5f55.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u8bad\u7ec3\u5b8c\u6bd5\u76ee\u5f55.png\" alt=\"\" \/><\/a><\/p>\n<p>\u67e5\u770b\u5176\u4e2d\u7684\u9a8c\u8bc1\u96c6\u663e\u793a\u5185\u5bb9\uff0c\u770b\u8d77\u6765\u7ed3\u679c\u662f\u6b63\u5e38\u7684<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u6a21\u578b\u8bad\u7ec3\u9a8c\u8bc1\u96c6\u7ed3\u679c.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/\u6a21\u578b\u8bad\u7ec3\u9a8c\u8bc1\u96c6\u7ed3\u679c.png\" alt=\"\" \/><\/a><\/p>\n<p>\u7531\u4e8e\u65f6\u95f4\u539f\u56e0\uff0c\u672c\u6b21\u5c31\u6ca1\u6709\u5f00\u53d1\u76f8\u5173\u7684\u524d\u7aef\u9875\u9762\u6765\u8fdb\u884c\u6a21\u578b\u52a0\u8f7d\u548c\u56fe\u7247\u8bc6\u522b\uff0c\u4f46\u662f\u53ef\u4ee5\u60f3\u8c61\uff1a\u5982\u679c\u6a21\u578b\u52a0\u8f7d\u540e\u540c\u65f6\u5f00\u542f\u667a\u80fd\u67dc\u7684\u6444\u50cf\u5934\uff0c\u90a3\u4e48\u5c31\u53ef\u4ee5\u5b9e\u65f6\u5bf9\u552e\u5356\u67dc\u5185\u7684\u5546\u54c1\u8fdb\u884c\u76ee\u6807\u68c0\u6d4b\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E9%99%84%E5%BD%95\"><\/span>\u9644\u5f55<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"labelimg%E8%BF%9B%E8%A1%8C%E6%95%B0%E6%8D%AE%E6%A0%87%E6%B3%A8\"><\/span>labelimg\u8fdb\u884c\u6570\u636e\u6807\u6ce8<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"%E7%AE%80%E4%BB%8B\"><\/span>\u7b80\u4ecb<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>LabelImg\u662f\u4e00\u4e2a\u7528\u4e8e\u56fe\u50cf\u6807\u6ce8\u7684\u5f00\u6e90\u5de5\u5177\uff0c\u5b83\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u800c\u51c6\u786e\u5730\u4e3a\u56fe\u50cf\u521b\u5efa\u6807\u6ce8\u6846\uff0c\u5e76\u751f\u6210\u76f8\u5e94\u7684\u6807\u6ce8\u6587\u4ef6\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E4%BD%BF%E7%94%A8%E6%AD%A5%E9%AA%A4\"><\/span>\u4f7f\u7528\u6b65\u9aa4<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u5b89\u88c5\u5e76\u6253\u5f00labelimg<br \/>\n\u7b2c\u4e00\u6b65\uff1a\u5728conda\u521b\u5efa\u65b0\u73af\u5883labelimg\uff0c\u6307\u4ee4\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">conda create -n labelimg  python=3.9<\/code><\/pre>\n<p>\u7b2c\u4e8c\u6b65\uff1a\u6fc0\u6d3blalelimg\u73af\u5883\uff0c\u6307\u4ee4\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">conda activate labelimg<\/code><\/pre>\n<p>\u7b2c\u4e09\u6b65\uff1a\u5728\u6b64\u73af\u5883\u4e0b\u5b89\u88c5labelimg\uff0c\u6307\u4ee4\u53ef\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">pip install labelimg<\/code><\/pre>\n<p>\u7b2c\u56db\u6b65\uff1a\u547d\u4ee4\u884c\u4e0b\u6253\u5f00<\/p>\n<pre><code class=\"language-shell\">labelimg<\/code><\/pre>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/labelimg.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/06\/labelimg.png\" alt=\"\" \/><\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\"><\/span>\u5185\u5bb9\u5c0f\u7ed3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>\u76ee\u6807\u68c0\u6d4b\u7406\u8bba\n<ul>\n<li>\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u4e2d\uff0c\u5e38\u89c1\u7684\u4efb\u52a1\u5305\u62ec\u76ee\u6807\u68c0\u6d4b\uff08detect\uff09\u3001\u56fe\u50cf\u5206\u7c7b\uff08classify\uff09<\/li>\n<li>\u76ee\u6807\u68c0\u6d4b\u8f93\u5165\u662f\u4e00\u5f20\u56fe\u50cf\uff0c\u8f93\u51fa\u662f\u56fe\u50cf\u4e2d\u68c0\u6d4b\u5230\u7684\u6240\u6709\u7269\u4f53\u7684\u8fb9\u754c\u6846\u548c\u7c7b\u522b\u4fe1\u606f<\/li>\n<li>\u76ee\u6807\u68c0\u6d4b\u5728\u6df1\u5ea6\u5b66\u4e60\u4e0b\u6709\u4e86\u65b0\u7684\u53d1\u5c55\uff0c\u6709<code>Anchor-based\uff08\u57fa\u4e8e\u951a\u6846\uff09<\/code>\u548c<code>Anchor-free\uff08\u65e0\u951a\u6846\uff09<\/code>\u4e24\u79cd\u89e3\u51b3\u601d\u8def<\/li>\n<li>Anchor-based\u7684\u6838\u5fc3\u601d\u60f3\u662f\uff1a<code>\u6b7b\u6846+\u4fee\u6b63\u91cf<\/code>\uff0cAnchor-free\u7684\u6838\u5fc3\u601d\u60f3\u662f\uff1a<code>\u4e2d\u5fc3\u70b9 + \u56db\u4e2a\u65b9\u5411\u7684\u751f\u957f<\/code><\/li>\n<li>\u76f8\u5bf9 Anchor-based \u65b9\u6cd5\uff0cAnchor-free 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