{"id":341,"date":"2026-07-17T00:04:22","date_gmt":"2026-07-16T16:04:22","guid":{"rendered":"https:\/\/friedcs.top\/?p=341"},"modified":"2026-07-17T00:04:22","modified_gmt":"2026-07-16T16:04:22","slug":"%e5%85%b3%e4%ba%8eyolo%e8%ae%ad%e7%bb%83%e6%97%b6%e7%9a%84%e5%9b%9e%e8%b0%83%e5%87%bd%e6%95%b0-3","status":"publish","type":"post","link":"https:\/\/friedcs.top\/index.php\/2026\/07\/17\/%e5%85%b3%e4%ba%8eyolo%e8%ae%ad%e7%bb%83%e6%97%b6%e7%9a%84%e5%9b%9e%e8%b0%83%e5%87%bd%e6%95%b0-3\/","title":{"rendered":"\u5173\u4e8eYOLO\u8bad\u7ec3\u65f6\u7684\u56de\u8c03\u51fd\u6570-3"},"content":{"rendered":"\n
\n
\u6211\u4eec\u6ca1\u6709\u76f8\u89c1\uff0c\u5374\u662f\u6b64\u523b\u6700\u597d\u7684\u76f8\u805a\u3002<\/pre>\n<\/blockquote>\n\n\n\n
\u4eca\u5929\u8865\u4e0a\u56de\u8c03\u51fd\u6570\u5728\u5b8c\u6210\u4e00\u8f6e\u62df\u5408epoch\u7ed3\u675f\u540e\uff0c\u83b7\u53d6\u5f53\u524d\u6307\u6807\u7684\u65b9\u6cd5\u3002<\/p>\n\n\n\n
\u4e0a\u6587\u6211\u4eec\u8bf4\u5230\uff0c\u6211\u4eec\u5728 on_train_epoch_end<\/code> \u7ed3\u675f\u540e\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97 batch\u3001epoch\u7684\u6570\u91cf\u5173\u7cfb\u6765\u5f97\u5230\u8fdb\u5ea6\uff0c\u4f46\u662f\u65e0\u6cd5\u83b7\u53d6\u5230\u6307\u6807\u3002\u56e0\u4e3a\u6307\u6807\u7684\u51fa\u73b0\u8fd8\u5728 on_train_epoch_end<\/code> \u4e4b\u540e\u3002\u56e0\u6b64\u6211\u4eec\u4f7f\u7528 on_fit_epoch_end<\/code> \u6765\u83b7\u53d6\u8bad\u7ec3\u3001\u9a8c\u8bc1\u7684\u6307\u6807\u3002<\/p>\n\n\n\n
\u793a\u4f8b\u5982\u4e0b<\/p>\n\n\n\n
\n'''\n\u4e00\u6837\u7684 \u5148\u5427\u56de\u8c03\u51fd\u6570\u6ce8\u518c\u597d\n'''\ndef on_fit_epoch_end<\/span>(trainer):\n        metrics = {}\n        tm = trainer.metrics\n                metrics['mAP50-95'] = float(tm.get('metrics\/mAP50-95(B)', 0))\n                metrics['mAP50'] = float(tm.get('metrics\/mAP50(B)', 0))\n                metrics['precision'] = float(tm.get('metrics\/precision(B)', 0))\n                metrics['recall'] = float(tm.get('metrics\/recall(B)', 0))\n                has_loss_keys = any(k in tm for k in ('val\/box_loss', 'val\/cls_loss', 'val\/dfl_loss'))\n                if has_loss_keys:\n                        metrics['box_loss'] = float(tm.get('val\/box_loss', 0))\n                        metrics['cls_loss'] = float(tm.get('val\/cls_loss', 0))\n                        metrics['obj_loss'] = float(tm.get('val\/dfl_loss', 0))\n                        metrics['loss'] = float(metrics['box_loss']) + float(metrics['cls_loss']) + float(metrics['obj_loss'])\n\nmodel.add_callback(\"on_fit_epoch_end<\/span>\", on_fit_epoch_end<\/span>)<\/code><\/pre>\n\n\n\n
\u8fd9\u6837\u6211\u4eec\u5c31\u53ef\u4ee5\u62ff\u5230\u5177\u4f53\u7684\u6570\u503c\u4e86\uff0c\u6211\u5728\u8fd9\u91cc\u628a\u6240\u6709\u7684\u8bad\u7ec3\u6307\u6807\u90fd\u4fdd\u5b58\u8d77\u6765\u4e86\uff0c\u8fd9\u6837\u53ef\u4ee5\u5c55\u793a\u51fa\u6574\u4f53\u7684\u8bad\u7ec3\u8d70\u52bf\u3002\u5e76\u4e14\u5728\u8bad\u7ec3\u7ed3\u675f\u4e5f\u5c31\u662f on_train_end<\/code> \u7684\u65f6\u5019\uff0c\u5c06\u6240\u6709\u7684\u6307\u6807\u90fd\u4fdd\u5b58\u4e0b\u6765\u3002<\/p>\n\n\n\n
\"\"
\u8bad\u7ec3\u6307\u6807\u8d70\u52bf<\/figcaption><\/figure>\n\n\n\n
\"\"
\u8bad\u7ec3\u5b8c\u6210\u540e\u7684\u5177\u4f53\u6570\u503c<\/figcaption><\/figure>\n\n\n\n
\u8fd9\u6837\u5c31\u53ef\u4ee5\u975e\u5e38\u76f4\u89c2\u7684\u67e5\u770b\u6bcf\u4e2a\u7c7b\u522b\u7684\u8bad\u7ec3\u60c5\u51b5\uff0c\u4e5f\u7b97\u505a\u7684\u4e00\u4e2a\u53ef\u89c6\u5316\u3002\u6316\u4e2a\u5751\uff1a\u5b9e\u73b0\u4e2d\u9014\u52a8\u6001\u8c03\u6574\u3002<\/p>\n\n\n\n
\u4ee5\u4e0b\u662f\u540d\u8bcd\u89e3\u91ca\u90e8\u5206<\/h3>\n\n\n\n
IoU\uff08\u4ea4\u5e76\u6bd4\uff09<\/h4>\n\n\n\n
\u901a\u4fd7\u89e3\u91ca\uff1aIoU \u5c31\u662f\u201c\u4f60\u753b\u7684\u6846\uff0c\u548c\u6807\u51c6\u7b54\u6848\u7684\u6846\uff0c\u91cd\u5408\u4e86\u591a\u5c11\u201d\u3002<\/p>\n\n\n\n
    \n
  • \u5982\u679c IoU = 1\uff0c\u8bf4\u660e\u4f60\u7684\u6846\u548c\u6807\u51c6\u7b54\u6848\u5b8c\u7f8e\u91cd\u5408<\/strong>\uff0c\u4e00\u70b9\u4e0d\u5dee\u3002<\/li>\n\n\n\n
  • \u5982\u679c IoU = 0.5\uff0c\u8bf4\u660e\u4f60\u7684\u6846\u548c\u6807\u51c6\u7b54\u6848\u6709\u4e00\u534a\u662f\u91cd\u5408\u7684<\/strong>\u3002<\/li>\n\n\n\n
  • \u5982\u679c IoU = 0\uff0c\u8bf4\u660e\u4f60\u5b8c\u5168\u753b\u504f\u4e86<\/strong>\uff0c\u8fde\u8fb9\u90fd\u6ca1\u6328\u7740\u3002<\/li>\n<\/ul>\n\n\n\n
    \u8bc4\u4f30\u6307\u6807 Metrics<\/h4>\n\n\n\n
    \u8fd9\u90e8\u5206\u662f\u770b\u6a21\u578b\u5b66\u5f97\u201c\u6709\u591a\u597d\u201d\uff0c\u6570\u503c\u8d8a\u63a5\u8fd1 1\uff08\u6216 100%\uff09\u8d8a\u597d\u3002<\/p>\n\n\n\n
    1. P\uff08Precision\uff0c\u7cbe\u786e\u7387\uff09<\/h6>\n\n\n\n
      \n
    • \u89e3\u91ca<\/strong>\uff1a\u6a21\u578b\u8bf4\u201c\u8fd9\u662f\u732b\u201d\u7684\u6240\u6709\u7ed3\u679c\u91cc\uff0c\u5230\u5e95\u6709\u591a\u5c11\u771f\u7684\u662f\u732b\uff1f<\/li>\n\n\n\n
    • \u4eba\u8bdd<\/strong>\uff1a\u5982\u679c P \u5f88\u9ad8\uff0c\u8bf4\u660e\u6a21\u578b\u5f88\u5c11\u5927\u60ca\u5c0f\u602a\uff08\u628a\u80cc\u666f\u8bef\u8ba4\u6210\u76ee\u6807\uff0c\u4e5f\u5c31\u662f\u8bef\u68c0\u5c11\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
      2. R\uff08Recall\uff0c\u53ec\u56de\u7387\uff09<\/h6>\n\n\n\n
        \n
      • \u89e3\u91ca<\/strong>\uff1a\u56fe\u7247\u91cc\u6240\u6709\u7684\u732b<\/strong>\uff0c\u6a21\u578b\u4e00\u5171\u627e\u51fa\u4e86\u591a\u5c11\u53ea\uff1f<\/strong><\/li>\n\n\n\n
      • \u4eba\u8bdd<\/strong><\/strong>\uff1a\u5982\u679c R \u5f88\u9ad8\uff0c\u8bf4\u660e\u6a21\u578b\u773c\u529b\u597d\uff0c\u6ca1\u6f0f\u6389\u76ee\u6807\uff08\u6f0f\u68c0\u5c11\uff09\u3002<\/li>\n<\/ul>\n\n\n\n
        3. mAP50 <\/h6>\n\n\n\n
          \n
        • \u5168\u79f0<\/strong>\uff1amean Average Precision at IoU=0.50<\/li>\n\n\n\n
        • \u89e3\u91ca<\/strong>\uff1a\u8fd9\u662f\u4e00\u4e2a\u76f8\u5bf9\u5bbd\u677e<\/strong>\u7684\u8bc4\u5206\u6807\u51c6\u3002\u53ea\u8981\u6a21\u578b\u753b\u7684\u6846\uff0c\u548c\u6807\u51c6\u7b54\u6848\u7684\u6846\u91cd\u5408\u5ea6\u8fbe\u5230\u4e86 50%<\/strong>\uff0c\u5c31\u7b97\u4f60\u201c\u627e\u5bf9\u4e86\u201d\u3002<\/li>\n\n\n\n
        • \u4eba\u8bdd<\/strong><\/strong>\uff1a\u5c31\u50cf\u8003\u8bd5\u6253\u5206\uff0c\u53ea\u8981\u4f60\u7b54\u5230\u4e86\u70b9\u5b50\u4e0a\uff0c\u6cbe\u8fb9\u5c31\u7ed9\u5206\u3002\u8fd9\u4e2a\u6307\u6807\u4e3b\u8981\u770b\u6a21\u578b\u80fd\u4e0d\u80fd\u628a\u76ee\u6807\u201c\u5927\u81f4\u627e\u51fa\u6765\u5e76\u4e14\u8ba4\u5bf9\u7c7b\u522b\u201d\u3002<\/li>\n<\/ul>\n\n\n\n
          4. mAP50-95 <\/h6>\n\n\n\n
            \n
          • \u5168\u79f0<\/strong>\uff1amean Average Precision at IoU=0.50:0.95<\/li>\n\n\n\n
          • \u89e3\u91ca<\/strong>\uff1a\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u4e25\u683c<\/strong>\u7684\u8bc4\u5206\u6807\u51c6\u3002\u5b83\u628a\u91cd\u5408\u5ea6\u4ece 50%\u300155%\u300160%… \u4e00\u76f4\u8981\u6c42\u5230 95%\uff0c\u7b97\u51fa 10 \u6b21\u6210\u7ee9\uff0c\u7136\u540e\u53d6\u5e73\u5747\u5206<\/strong>\u3002<\/li>\n\n\n\n
          • \u4eba\u8bdd<\/strong><\/strong>\uff1a\u4e0d\u4ec5\u8981\u6c42\u4f60\u627e\u5f97\u5bf9\uff0c\u8fd8\u8981\u6c42\u4f60\u7684\u6846\u753b\u5f97\u6781\u5176\u7cbe\u51c6<\/strong>\uff0c\u8fb9\u7f18\u5fc5\u987b\u4e25\u4e1d\u5408\u7f1d\u3002\u5728\u81ea\u52a8\u9a7e\u9a76\u3001\u533b\u5b66\u56fe\u50cf\u8fd9\u79cd\u9700\u8981\u9ad8\u7cbe\u5ea6\u7684\u9886\u57df\uff0c\u5927\u5bb6\u66f4\u770b\u91cd\u8fd9\u4e2a\u6307\u6807\u3002<\/li>\n<\/ul>\n\n\n\n
            \u635f\u5931\u51fd\u6570 Loss<\/h4>\n\n\n\n
            \u8fd9\u90e8\u5206\u662f\u770b\u6a21\u578b\u5b66\u5f97\u201c\u6709\u591a\u75db\u82e6\u201d\uff0c\u6570\u503c\u8d8a\u4f4e\u8d8a\u597d<\/strong>\uff08\u8d8a\u63a5\u8fd1 0 \u8d8a\u597d\uff09\u3002<\/p>\n\n\n\n
            1. box_loss\uff08\u8fb9\u754c\u6846\u635f\u5931\uff09<\/h6>\n\n\n\n
              \n
            • \u89e3\u91ca<\/strong>\uff1a\u8861\u91cf\u6a21\u578b\u753b\u7684\u201c\u6846\u7684\u4f4d\u7f6e\u548c\u5927\u5c0f\u201d\u4e0e\u771f\u5b9e\u7b54\u6848\u7684\u5dee\u8ddd\u3002<\/li>\n\n\n\n
            • \u4eba\u8bdd<\/strong><\/strong>\uff1a\u5982\u679c box_loss \u5f88\u9ad8\uff0c\u8bf4\u660e\u6a21\u578b\u753b\u7684\u6846\u8981\u4e48\u504f\u79bb\u4e86\u4e2d\u5fc3\uff0c\u8981\u4e48\u592a\u5927\u592a\u5c0f\u3002\u8fd9\u4e2a\u503c\u8d8a\u4f4e\uff0c\u8bf4\u660e\u6846\u5f97\u8d8a\u51c6\u3002<\/li>\n<\/ul>\n\n\n\n
              2. cls_loss\uff08\u5206\u7c7b\u635f\u5931\uff09<\/h6>\n\n\n\n
                \n
              • \u89e3\u91ca<\/strong>\uff1a\u8861\u91cf\u6a21\u578b\u5bf9\u201c\u76ee\u6807\u662f\u4ec0\u4e48\u7c7b\u522b\u201d\u7684\u5224\u65ad\u8bef\u5dee\u3002<\/li>\n\n\n\n
              • \u4eba\u8bdd<\/strong><\/strong>\uff1a\u6846\u867d\u7136\u753b\u5bf9\u4e86\uff0c\u4f46\u5982\u679c\u628a\u201c\u72d7\u201d\u8ba4\u6210\u4e86\u201c\u732b\u201d\uff0ccls_loss \u5c31\u4f1a\u53d8\u9ad8\u3002\u8fd9\u4e2a\u503c\u8d8a\u4f4e\uff0c\u8bf4\u660e\u6a21\u578b\u8ba4\u4e1c\u897f\u8d8a\u51c6\u3002<\/li>\n<\/ul>\n\n\n\n
                3. dfl_loss\uff08\u5206\u5e03\u7126\u70b9\u635f\u5931\uff09<\/h6>\n\n\n\n
                  \n
                • \u89e3\u91ca<\/strong>\uff1a\u8fd9\u662f YOLOv8 \u7b49\u8f83\u65b0\u7248\u672c\u7279\u6709\u7684\u3002\u5b83\u4e0d\u76f4\u63a5\u9884\u6d4b\u6846\u7684\u5750\u6807\uff0c\u800c\u662f\u9884\u6d4b\u4e00\u4e2a\u201c\u6982\u7387\u5206\u5e03\u201d\uff0c\u4e13\u95e8\u7528\u6765\u4f18\u5316\u90a3\u4e9b\u6a21\u7cca\u3001\u91cd\u53e0\u3001\u8fb9\u7f18\u4e0d\u6e05\u6670\u7684\u7269\u4f53\u3002<\/li>\n\n\n\n
                • \u4eba\u8bdd<\/strong><\/strong>\uff1a\u5f53\u4e24\u4e2a\u7269\u4f53\u6324\u5728\u4e00\u8d77\uff0c\u6216\u8005\u7269\u4f53\u8fb9\u7f18\u5f88\u6a21\u7cca\u65f6\uff0c\u6a21\u578b\u5bb9\u6613\u61f5\u3002dfl_loss \u5c31\u662f\u5f3a\u8feb\u6a21\u578b\u53bb\u6b7b\u78d5\u8fd9\u4e9b\u201c\u96be\u8fa8\u8ba4\u7684\u8fb9\u7f18\u201d\uff0c\u8ba9\u6846\u8d34\u5f97\u66f4\u7d27\u3002<\/li>\n<\/ul>\n\n\n\n
                  \u603b\u7ed3<\/h3>\n\n\n\n
                    \n
                  • \u770b Loss\uff08\u635f\u5931\uff09\uff1a\u53ea\u8981\u00a0box_loss<\/code>\u3001cls_loss<\/code>\u3001dfl_loss<\/code>\u00a0\u8fd9\u4e09\u6761\u7ebf\u5728\u7a33\u5b9a\u4e0b\u964d<\/strong>\uff0c\u5c31\u8bf4\u660e\u6a21\u578b\u5728\u8ba4\u771f\u5b66\u4e60\uff0c\u6ca1\u6709\u201c\u5b66\u5e9f\u201d\uff08\u8fc7\u62df\u5408\u6216\u6b20\u62df\u5408\uff09\u3002\u6b20\u62df\u5408\u5c31\u662f\u6ca1\u5b66\u4f1a\uff0c\u8fc7\u62df\u5408\u5c31\u662f\u4e0d\u4f1a\u53d8\u901a<\/li>\n\n\n\n
                  • \u770b mAP\uff08\u7cbe\u5ea6\uff09\uff1a\u53ea\u8981\u00a0mAP50<\/code>\u00a0\u548c\u00a0mAP50-95<\/code>\u00a0\u5728\u7a33\u6b65\u4e0a\u5347<\/strong>\uff0c\u5c31\u8bf4\u660e\u6a21\u578b\u8d8a\u6765\u8d8a\u806a\u660e\u3002<\/li>\n\n\n\n
                  • \u770b P \u548c R\uff1a\u5982\u679c P \u9ad8 R \u4f4e\uff0c\u8bf4\u660e\u6a21\u578b\u592a\u4fdd\u5b88\uff0c\u7ecf\u5e38\u6f0f\u68c0\uff1b\u5982\u679c R \u9ad8 P \u4f4e\uff0c\u8bf4\u660e\u6a21\u578b\u592a\u6fc0\u8fdb\uff0c\u7ecf\u5e38\u8bef\u62a5\u3002\u4e24\u8005\u90fd\u9ad8\u624d\u662f\u5b8c\u7f8e\u72b6\u6001\u3002<\/li>\n<\/ul>\n\n\n\n
                    <\/p>\n","protected":false},"excerpt":{"rendered":"
                    \u6211\u4eec\u6ca1\u6709\u76f8\u89c1\uff0c\u5374\u662f\u6b64\u523b\u6700\u597d\u7684\u76f8\u805a\u3002 \u4eca\u5929\u8865\u4e0a\u56de\u8c03\u51fd …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-341","post","type-post","status-publish","format-standard","hentry","category-10"],"_links":{"self":[{"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/posts\/341","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/comments?post=341"}],"version-history":[{"count":8,"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/posts\/341\/revisions"}],"predecessor-version":[{"id":351,"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/posts\/341\/revisions\/351"}],"wp:attachment":[{"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/media?parent=341"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/categories?post=341"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/friedcs.top\/index.php\/wp-json\/wp\/v2\/tags?post=341"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}