{"id":465,"date":"2025-11-25T09:20:18","date_gmt":"2025-11-25T01:20:18","guid":{"rendered":"https:\/\/high-flyer.in.suopu.cc\/?p=465"},"modified":"2025-11-25T09:20:18","modified_gmt":"2025-11-25T01:20:18","slug":"%e8%90%a4%e7%81%ab%e8%b7%91%e6%a8%a1%e5%9e%8b-%e5%a4%9a%e5%8d%a1%e5%b9%b6%e8%a1%8c%e5%ae%9e%e7%8e%b0-yolov5-%e9%ab%98%e6%80%a7%e8%83%bd%e8%ae%ad%e7%bb%83","status":"publish","type":"post","link":"https:\/\/high-flyer.in.suopu.cc\/en\/blog\/465\/","title":{"rendered":"\u8424\u706b\u8dd1\u6a21\u578b | \u591a\u5361\u5e76\u884c\u5b9e\u73b0 YOLOv5 \u9ad8\u6027\u80fd\u8bad\u7ec3"},"content":{"rendered":"<p>YOLO \u7cfb\u5217\u6a21\u578b\u5728\u6574\u4e2a\u6df1\u5ea6\u5b66\u4e60\u76ee\u6807\u68c0\u6d4b\u9886\u57df\u6709\u4e3e\u8db3\u8f7b\u91cd\u7684\u5730\u4f4d\uff0c\u8fd1\u4e9b\u5e74\u6a21\u578b\u6027\u4e0d\u65ad\u53d1\u5c55\uff0c\u5de5\u7a0b\u843d\u5730\u4e2d\u7684\u5e94\u7528\u4e5f\u5341\u5206\u5e7f\u6cdb\u3002<\/p>\n<p>\u6700\u8fd1\u6765\u81ea\u7f8e\u56fd\u7684 Ultralytics \u516c\u53f8\u53d1\u5e03\u4e86\u7b2c\u4e94\u4ee3 YOLO \u6a21\u578b: YOLOv5\u3002\u76f8\u6bd4\u4e0a\u4ee3\u6a21\u578b\uff0cYOLOv5 \u4ee5\u66f4\u8f7b\u91cf\u7684\u53c2\u6570\uff0c\u66f4\u6781\u81f4\u7684\u63a8\u7406\u901f\u5ea6\uff0c\u4e00\u7ecf\u53d1\u5e03\u53d7\u5230\u4e86\u5b66\u672f\u754c\u548c\u5de5\u4e1a\u754c\u76f8\u5173\u4eba\u58eb\u7684\u5e7f\u6cdb\u5173\u6ce8\u3002<\/p>\n<p>\u5e7b\u65b9 AI \u6700\u8fd1\u5728\u8424\u706b\u96c6\u7fa4\u4e0a\u5bf9\u8be5\u9879\u5de5\u4f5c\u8fdb\u884c\u4e86\u4f53\u9a8c\u548c\u4f18\u5316\u3002YOLOv5 \u6ca1\u6709\u76f8\u5e94\u7684\u8bba\u6587\u8bf4\u660e\uff0c\u4ec5\u5f00\u6e90\u4e86\u4ee3\u7801\u3002\u6211\u4eec\u901a\u8fc7\u81ea\u7814\u7684\u00a0<a href=\"https:\/\/www.high-flyer.cn\/blog\/3fs\">3FS<\/a>\u3001<a href=\"https:\/\/www.high-flyer.cn\/blog\/hfai_datasets\">\u6570\u636e\u96c6\u4ed3\u5e93<\/a>\u3001<a href=\"https:\/\/www.high-flyer.cn\/blog\/hf-reduce\">hfreduce<\/a>\u3001<a href=\"https:\/\/www.high-flyer.cn\/blog\/hfnn\">operator (math.)<\/a>\u7b49\u5bf9\u6a21\u578b\u8bad\u7ec3\u8fdb\u884c\u4f18\u5316\uff0c\u5b9e\u73b0\u4e86\u8fd1 50% \u7684\u8bad\u7ec3\u63d0\u901f\u3002\u672c\u6587\u4e3a\u5927\u5bb6\u7b80\u8981\u63cf\u8ff0\u3002<\/p>\n<p><strong>\u9879\u76ee\u5730\u5740<\/strong>\uff1a<a href=\"https:\/\/github.com\/ultralytics\/yolov5\">https:\/\/github.com\/ultralytics\/yolov5<\/a><\/p>\n<p><strong>model store<\/strong>\uff1a<a href=\"https:\/\/github.com\/HFAiLab\/yolov5\">https:\/\/github.com\/HFAiLab\/yolov5<\/a><\/p>\n<h2 id=\"\u6a21\u578b\u7b80\u4ecb\">\u6a21\u578b\u7b80\u4ecb<\/h2>\n<p>YOLOv5 \u662f\u4e00\u79cd\u5355\u9636\u6bb5\u76ee\u6807\u68c0\u6d4b\u7b97\u6cd5\uff0c\u4e0b\u56fe\u5c55\u793a\u4e86\u5176\u6574\u4f53\u7ed3\u6784\u6846\u56fe\uff1a<\/p>\n<p><span class=\"gatsby-resp-image-wrapper\"><a class=\"gatsby-resp-image-link\" href=\"https:\/\/hfai-static.high-flyer.cn\/static\/797428e49460c7fda820bbc9e5f980fb\/9b29b\/01.png\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"gatsby-resp-image-image\" title=\"01\" src=\"https:\/\/hfai-static.high-flyer.cn\/static\/797428e49460c7fda820bbc9e5f980fb\/a6d36\/01.png\" sizes=\"(max-width: 650px) 100vw, 650px\" srcset=\"https:\/\/hfai-static.high-flyer.cn\/static\/797428e49460c7fda820bbc9e5f980fb\/222b7\/01.png 163w,https:\/\/hfai-static.high-flyer.cn\/static\/797428e49460c7fda820bbc9e5f980fb\/ff46a\/01.png 325w,https:\/\/hfai-static.high-flyer.cn\/static\/797428e49460c7fda820bbc9e5f980fb\/a6d36\/01.png 650w,https:\/\/hfai-static.high-flyer.cn\/static\/797428e49460c7fda820bbc9e5f980fb\/e548f\/01.png 975w,https:\/\/hfai-static.high-flyer.cn\/static\/797428e49460c7fda820bbc9e5f980fb\/3c492\/01.png 1300w,https:\/\/hfai-static.high-flyer.cn\/static\/797428e49460c7fda820bbc9e5f980fb\/9b29b\/01.png 3840w\" alt=\"01\" 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\u7684\u57fa\u7840\u4e0a\u6dfb\u52a0\u4e86\u4e00\u4e9b\u65b0\u7684\u6539\u8fdb\u601d\u8def\uff0c\u4f7f\u5176\u901f\u5ea6\u4e0e\u7cbe\u5ea6\u90fd\u5f97\u5230\u4e86\u6781\u5927\u7684\u6027\u80fd\u63d0\u5347\u3002\u4e3b\u8981\u7684\u6539\u8fdb\u601d\u8def\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n<ul>\n<li><strong>\u8f93\u5165\u7aef<\/strong>\uff1a\u8868\u793a\u8f93\u5165\u7684\u56fe\u7247\uff0c\u8be5\u9636\u6bb5\u901a\u5e38\u5305\u542b\u4e00\u4e2a\u56fe\u50cf\u9884\u5904\u7406\u9636\u6bb5\uff0c\u5373\u5c06\u8f93\u5165\u56fe\u50cf\u7f29\u653e\u5230\u7f51\u7edc\u7684\u8f93\u5165\u5927\u5c0f\uff0c\u5e76\u8fdb\u884c\u5f52\u4e00\u5316\u7b49\u64cd\u4f5c\u3002YOLOv5 \u63d0\u51fa\u4e86\u4e00\u4e9b\u6539\u8fdb\u601d\u8def\uff0c\u5982\u5728\u7f51\u7edc\u8bad\u7ec3\u9636\u6bb5\uff0c\u4f7f\u7528 Mosaic \u6570\u636e\u589e\u5f3a\u64cd\u4f5c\u63d0\u5347\u6a21\u578b\u7684\u8bad\u7ec3\u901f\u5ea6\u548c\u7f51\u7edc\u7684\u7cbe\u5ea6\uff1b\u63d0\u51fa\u4e00\u79cd\u81ea\u9002\u5e94\u951a\u6846\u8ba1\u7b97\u4e0e\u81ea\u9002\u5e94\u56fe\u7247\u7f29\u653e\u65b9\u6cd5\uff1b<\/li>\n<li><strong>\u57fa\u51c6\u7f51\u7edc<\/strong>\uff1a\u901a\u5e38\u662f\u4e00\u4e9b\u6027\u80fd\u4f18\u5f02\u7684\u5206\u7c7b\u5668\u79cd\u7684\u7f51\u7edc\uff0c\u8be5\u6a21\u5757\u7528\u6765\u63d0\u53d6\u4e00\u4e9b\u901a\u7528\u7684\u7279\u5f81\u8868\u793a\u3002\u878d\u5408\u5176\u5b83\u68c0\u6d4b\u7b97\u6cd5\u4e2d\u7684\u4e00\u4e9b\u65b0\u601d\u8def\u3002YOLOv5 \u4e2d\u4e0d\u4ec5\u4f7f\u7528\u4e86 CSPDarknet53 \u7ed3\u6784\uff0c\u800c\u4e14\u4f7f\u7528\u4e86 Focus \u7ed3\u6784\u4f5c\u4e3a\u57fa\u51c6\u7f51\u7edc\uff1b<\/li>\n<li><strong>Neck\u7f51\u7edc<\/strong>\uff1a\u76ee\u6807\u68c0\u6d4b\u7f51\u7edc\u5728 BackBone \u4e0e\u6700\u540e\u7684 Head \u8f93\u51fa\u5c42\u4e4b\u95f4\u5f80\u5f80\u4f1a\u63d2\u5165\u4e00\u4e9b\u5c42\uff0c\u5229\u7528\u5b83\u53ef\u4ee5\u8fdb\u4e00\u6b65\u63d0\u5347\u7279\u5f81\u7684\u591a\u6837\u6027\u53ca\u9c81\u68d2\u6027\u3002\u867d\u7136 YOLOv5 \u540c\u6837\u7528\u5230\u4e86 SPP \u6a21\u5757\u3001FPN+PAN \u6a21\u5757\uff0c\u4f46\u662f\u5b9e\u73b0\u7684\u7ec6\u8282\u6709\u4e9b\u4e0d\u540c\uff1b<\/li>\n<li><strong>Head\u8f93\u51fa\u5c42<\/strong>\uff1a\u7528\u6765\u5b8c\u6210\u76ee\u6807\u68c0\u6d4b\u7ed3\u679c\u7684\u8f93\u51fa\u3002\u9488\u5bf9\u4e0d\u540c\u7684\u68c0\u6d4b\u7b97\u6cd5\uff0c\u8f93\u51fa\u7aef\u7684\u5206\u652f\u4e2a\u6570\u4e0d\u5c3d\u76f8\u540c\uff0c\u901a\u5e38\u5305\u542b\u4e00\u4e2a\u5206\u7c7b\u5206\u652f\u548c\u4e00\u4e2a\u56de\u5f52\u5206\u652f\u3002YOLOv5 \u8f93\u51fa\u5c42\u7684\u951a\u6846\u673a\u5236\u4e0e YOLOv4 \u76f8\u540c\uff0c\u4e3b\u8981\u6539\u8fdb\u7684\u662f\u8bad\u7ec3\u65f6\u7684\u635f\u5931\u51fd\u6570 GIOU_Loss\uff0c\u4ee5\u53ca\u9884\u6d4b\u6846\u7b5b\u9009\u7684 DIOU_nms\u3002<\/li>\n<\/ul>\n<h2 id=\"\u6a21\u578b\u5b9e\u8df5\">\u6a21\u578b\u5b9e\u8df5<\/h2>\n<p>\u5e7b\u65b9 AI \u57fa\u4e8e Ultralytics \u5f00\u6e90\u7684 YOLOv5 \u4ee3\u7801\uff0c\u8fdb\u884c\u591a\u7ea7\u591a\u5361\u7684\u8bad\u7ec3\u652f\u6301\uff0c\u5f00\u6e90\u81f3 HFAI YOLOv5\uff0c\u5e76\u91c7\u7528\u5e7b\u65b9\u4e00\u7cfb\u5217\u4f18\u5316\u5de5\u5177\u8fdb\u884c\u63d0\u901f\u5347\u7ea7\uff0c\u5305\u62ec hfai.datasets \u9ad8\u901f\u6570\u636e\u96c6\u4ed3\u5e93\uff0chfreduce \u5e76\u884c\u8bad\u7ec3\uff0chfai.nn \u9ad8\u6027\u80fd\u7b97\u5b50\u7b49\u529f\u80fd\u3002<\/p>\n<h3 id=\"\u6570\u636e\u96c6\">\u6570\u636e\u96c6<\/h3>\n<p>YOLOv5 \u5f00\u6e90\u4ee3\u7801\u91cc\u7ed9\u51fa\u7684\u8bad\u7ec3\u6848\u4f8b\uff0c\u4f7f\u7528\u7684\u8bad\u7ec3\u6570\u636e\u53ea\u6709 128 \u5f20\u56fe\u7247\u6784\u6210\u7684 COCO \u5b50\u6570\u636e\u96c6\u3002\u6570\u636e\u89c4\u6a21\u8f83\u5c0f\uff0c\u4e14 Dataloader \u8bfb\u53d6\u8bad\u7ec3\u6837\u672c\u65f6\u9700\u8981\u5728\u5b58\u50a8\u7cfb\u7edf\u91cc\u6253\u5f00\u5927\u91cf\u7684\u5c0f\u6587\u4ef6\uff0c\u6574\u4f53\u8bad\u7ec3\u541e\u5410\u4f1a\u53d7\u5230\u5f88\u5927\u5f71\u54cd\u3002<\/p>\n<p>\u6e90\u4ee3\u7801\u91cc\u7528 Yaml \u914d\u7f6e\u8bad\u7ec3\u6570\u636e\u96c6\uff0c\u901a\u8fc7\u5982\u4e0b\u65b9\u5f0f\u6784\u5efa Dataloader:<\/p>\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\"><span class=\"token keyword\">from<\/span> torch<span class=\"token punctuation\">.<\/span>utils<span class=\"token punctuation\">.<\/span>data <span class=\"token keyword\">import<\/span> DataLoader<span class=\"token punctuation\">,<\/span> Dataset\r\n\r\n<span class=\"token keyword\">class<\/span> <span class=\"token class-name\">LoadImagesAndLabels<\/span><span class=\"token punctuation\">(<\/span>Dataset<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\r\n  <span class=\"token keyword\">def<\/span> <span class=\"token function\">__init__<\/span><span class=\"token punctuation\">(<\/span>self<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>\r\n\r\n    f <span class=\"token operator\">=<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span>  <span class=\"token comment\"># image files<\/span>\r\n    <span class=\"token keyword\">for<\/span> p <span class=\"token keyword\">in<\/span> path <span class=\"token keyword\">if<\/span> <span class=\"token builtin\">isinstance<\/span><span class=\"token punctuation\">(<\/span>path<span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">list<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">else<\/span> <span class=\"token punctuation\">[<\/span>path<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">:<\/span>\r\n        p <span class=\"token operator\">=<\/span> Path<span class=\"token punctuation\">(<\/span>p<span class=\"token punctuation\">)<\/span>  <span class=\"token comment\"># os-agnostic<\/span>\r\n        <span class=\"token keyword\">if<\/span> p<span class=\"token punctuation\">.<\/span>is_dir<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>  <span class=\"token comment\"># dir<\/span>\r\n            f <span class=\"token operator\">+=<\/span> glob<span class=\"token punctuation\">.<\/span>glob<span class=\"token punctuation\">(<\/span><span class=\"token builtin\">str<\/span><span class=\"token punctuation\">(<\/span>p <span class=\"token operator\">\/<\/span> <span class=\"token string\">'**'<\/span> <span class=\"token operator\">\/<\/span> <span class=\"token string\">'*.*'<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> recursive<span class=\"token operator\">=<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span>\r\n        <span class=\"token keyword\">elif<\/span> p<span class=\"token punctuation\">.<\/span>is_file<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>  <span class=\"token comment\"># file<\/span>\r\n            <span class=\"token keyword\">with<\/span> <span class=\"token builtin\">open<\/span><span class=\"token punctuation\">(<\/span>p<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">as<\/span> t<span class=\"token punctuation\">:<\/span>\r\n                t <span class=\"token operator\">=<\/span> t<span class=\"token punctuation\">.<\/span>read<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>strip<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>splitlines<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>\r\n                parent <span class=\"token operator\">=<\/span> <span class=\"token builtin\">str<\/span><span class=\"token punctuation\">(<\/span>p<span class=\"token punctuation\">.<\/span>parent<span class=\"token punctuation\">)<\/span> <span class=\"token operator\">+<\/span> os<span class=\"token punctuation\">.<\/span>sep\r\n                f <span class=\"token operator\">+=<\/span> <span class=\"token punctuation\">[<\/span>x<span class=\"token punctuation\">.<\/span>replace<span class=\"token punctuation\">(<\/span><span class=\"token string\">'.\/'<\/span><span class=\"token punctuation\">,<\/span> parent<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">if<\/span> x<span class=\"token punctuation\">.<\/span>startswith<span class=\"token punctuation\">(<\/span><span class=\"token string\">'.\/'<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">else<\/span> x <span class=\"token keyword\">for<\/span> x <span class=\"token keyword\">in<\/span> t<span class=\"token punctuation\">]<\/span>  <span class=\"token comment\"># local to global path<\/span>\r\n        <span class=\"token keyword\">else<\/span><span class=\"token punctuation\">:<\/span>\r\n            <span class=\"token keyword\">raise<\/span> FileNotFoundError<span class=\"token punctuation\">(<\/span><span class=\"token string-interpolation\"><span class=\"token string\">f'<\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>prefix<span class=\"token punctuation\">}<\/span><\/span><span class=\"token interpolation\"><span class=\"token punctuation\">{<\/span>p<span class=\"token punctuation\">}<\/span><\/span><span class=\"token string\"> does not exist'<\/span><\/span><span class=\"token punctuation\">)<\/span>\r\n    self<span class=\"token punctuation\">.<\/span>im_files <span class=\"token operator\">=<\/span> <span class=\"token builtin\">sorted<\/span><span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">.<\/span>replace<span class=\"token punctuation\">(<\/span><span class=\"token string\">'\/'<\/span><span class=\"token punctuation\">,<\/span> os<span class=\"token punctuation\">.<\/span>sep<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">for<\/span> x <span class=\"token keyword\">in<\/span> f <span class=\"token keyword\">if<\/span> x<span class=\"token punctuation\">.<\/span>split<span class=\"token punctuation\">(<\/span><span class=\"token string\">'.'<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">[<\/span><span class=\"token operator\">-<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>lower<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">in<\/span> IMG_FORMATS<span class=\"token punctuation\">)<\/span>\r\n\r\n    <span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span>\r\n<\/code><\/pre>\n<\/div>\n<p>\u53ef\u4ee5\u770b\u5230\uff0c\u5355\u4e2a\u6837\u672c\u76f4\u63a5\u4ece\u672c\u5730\u5b58\u50a8\u7cfb\u7edf\u4e2d\u8bfb\u53d6\uff0c\u5982\u679c\u4f7f\u7528 COCO \u5168\u91cf\u6570\u636e\u96c6\uff0c\u5219\u9700\u8981\u6253\u5f00\u7684\u5c0f\u6587\u4ef6\u6570\u91cf\u5bf9\u5b58\u50a8\u7cfb\u7edf\u7684\u538b\u529b\u4e0d\u53ef\u5c0f\u89d1\u3002<\/p>\n<p>\u8fd9\u91cc\uff0c\u6211\u4eec\u91c7\u7528\u81ea\u7814\u7684<strong>\u9ad8\u901f\u6570\u636e\u96c6\u4ed3\u5e93\uff0c<a href=\"https:\/\/doc.hfai.high-flyer.cn\/api\/datasets.html\"><code class=\"language-text\">hfai.datasets<\/code><\/a><\/strong>\uff0c\u4f18\u5316\u8bad\u7ec3\u6570\u636e\u7684\u683c\u5f0f\u3002\u5c06\u5927\u91cf\u7684\u5c0f\u6587\u4ef6\u901a\u8fc7\u00a0<a href=\"https:\/\/www.high-flyer.cn\/blog\/ffrecord\">FFRecord<\/a>\u00a0\u6574\u5408\u8f6c\u5316\u4e3a\u82e5\u5e72\u4e2a\u96c6\u4e2d\u7684\u5927\u6587\u4ef6\uff0c\u5e76\u4e14\u53ef\u4ee5\u4f7f\u7528 FFRecord \u4e2d\u4f18\u5316\u7684\u968f\u673a\u8bfb\u548c\u6279\u91cf\u8bfb\uff0c\u8fdb\u884c\u6570\u636e\u6837\u672c\u7684\u9ad8\u901f\u968f\u673a\u8bbf\u95ee\u3002\u540c\u65f6\uff0chfai \u6570\u636e\u96c6\u4ed3\u5e93\u5c01\u88c5\u4e86\u5f88\u591a\u5e38\u7528\u7684\u516c\u5f00\u6570\u636e\u96c6\uff0c\u5e76\u4e14\u91c7\u7528\u5e7b\u65b9\u81ea\u7814\u7684\u9ad8\u901f\u5b58\u50a8 3FS \u8fdb\u884c\u4fdd\u5b58\uff0c\u53ef\u4ee5\u5b9e\u73b0\u6781\u5927\u7684\u6027\u80fd\u4f18\u5316\u3002\u6539\u9020\u975e\u5e38\u7b80\u5355\uff0c\u5982\u4e0b\u4f8b\u6240\u793a\uff1a<\/p>\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\"><span class=\"token keyword\">from<\/span> hfai<span class=\"token punctuation\">.<\/span>datasets <span class=\"token keyword\">import<\/span> COCODetection\r\n<span class=\"token keyword\">from<\/span> ffrecord <span class=\"token keyword\">import<\/span> FileReader\r\n<span class=\"token keyword\">from<\/span> ffrecord<span class=\"token punctuation\">.<\/span>torch <span class=\"token keyword\">import<\/span> Dataset<span class=\"token punctuation\">,<\/span> DataLoader\r\n\r\n<span class=\"token keyword\">class<\/span> <span class=\"token class-name\">LoadImagesAndLabels<\/span><span class=\"token punctuation\">(<\/span>Dataset<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\r\n  <span class=\"token keyword\">def<\/span> <span class=\"token function\">__init__<\/span><span class=\"token punctuation\">(<\/span>self<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>\r\n    self<span class=\"token punctuation\">.<\/span>data_dir <span class=\"token operator\">=<\/span> COCODetection<span class=\"token punctuation\">(<\/span><span class=\"token string\">'train'<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>data_dir\r\n    self<span class=\"token punctuation\">.<\/span>reader <span class=\"token operator\">=<\/span> FileReader<span class=\"token punctuation\">(<\/span>self<span class=\"token punctuation\">.<\/span>data_dir <span class=\"token operator\">\/<\/span> <span class=\"token string\">\"train2017.ffr\"<\/span><span class=\"token punctuation\">,<\/span> check_data<span class=\"token operator\">=<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span>\r\n\r\n    <span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span>\r\n<\/code><\/pre>\n<\/div>\n<p>\u901a\u8fc7\u4e0a\u9762\u4e24\u884c\u4ee3\u7801\uff0c\u5c31\u53ef\u4ee5\u8f7b\u677e\u52a0\u8f7d hfai \u6570\u636e\u96c6\u4ed3\u5e93\u4e2d\u7684\u00a0<a href=\"https:\/\/doc.hfai.high-flyer.cn\/api\/datasets.html#hfai.datasets.CocoDetection\">COCODetection \u6570\u636e\u96c6<\/a>\uff0c\u5927\u5e45\u63d0\u5347\u8bad\u7ec3\u6837\u672c\u7684\u8bfb\u53d6\u6548\u7387\u3002\u66f4\u591a\u7684\u6570\u636e\u96c6\u548c\u4f7f\u7528\uff0c\u53ef\u4ee5\u9605\u8bfb\u00a0<a href=\"https:\/\/doc.hfai.high-flyer.cn\/api\/datasets.html\"><code class=\"language-text\">hfai.datasets<\/code>\u00a0official document<\/a>\u3002<\/p>\n<h3 id=\"hfai-\u8bad\u7ec3\u6539\u9020\">hfai \u8bad\u7ec3\u6539\u9020<\/h3>\n<p>\u8424\u706b\u63d0\u4f9b\u4e86\u7edf\u4e00\u7684\u8bad\u7ec3\u7ba1\u7406\u5e73\u53f0\uff0c\u53ef\u4ee5\u5c06\u5927\u91cf\u7684\u8bad\u7ec3\u4efb\u52a1\u4f9d\u636e\u4f18\u5148\u7ea7\u8d1f\u8f7d\u5747\u8861\u5230\u4e0d\u540c\u7684GPU\u4e0a\u6267\u884c\uff0c\u5145\u5206\u5229\u7528\u8d77\u8ba1\u7b97\u7b97\u529b\u3002\u5bf9\u4e8e YOLOv5 \u7684\u8bad\u7ec3\uff0c\u6211\u4eec\u53ef\u4ee5\u52a0\u5927\u6570\u636e\u5e76\u884c\uff0c\u6781\u5927\u52a0\u901f\u8bad\u7ec3\u901f\u5ea6\u3002\u64cd\u4f5c\u4e0a\u53ea\u9700\u8981\u52a0\u5165\u5982\u4e0b\u51e0\u884c\u4ee3\u7801\uff1a<\/p>\n<ol>\n<li>\u5f15\u5165 hfai\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\"><span class=\"token keyword\">import<\/span> hfai<\/code><\/pre>\n<\/div>\n<\/li>\n<li>\u4f7f\u7528 hfreduce,\u00a0<code class=\"language-text\">hfai.nn<\/code>\u00a0\u66ff\u6362\u4ee3\u7801\u4e2d\u7684\u53c2\u6570\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\"><span class=\"token keyword\">import<\/span> hfai<span class=\"token punctuation\">.<\/span>nn <span class=\"token keyword\">as<\/span> hfnn\r\n<span class=\"token keyword\">from<\/span> hfai<span class=\"token punctuation\">.<\/span>nn<span class=\"token punctuation\">.<\/span>parallel <span class=\"token keyword\">import<\/span> DistributedDataParallel\r\n\r\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">main<\/span><span class=\"token punctuation\">(<\/span>local_rank<span class=\"token punctuation\">,<\/span> args<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\r\n\r\n  <span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span>\r\n\r\n  model <span class=\"token operator\">=<\/span> hfnn<span class=\"token punctuation\">.<\/span>to_hfai<span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">)<\/span>\r\n  model <span class=\"token operator\">=<\/span> DistributedDataParallel<span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">.<\/span>cuda<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> device_ids<span class=\"token operator\">=<\/span><span class=\"token punctuation\">[<\/span>local_rank<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span>\r\n\r\n  <span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span>\r\n<\/code><\/pre>\n<\/div>\n<\/li>\n<li>\u4f7f\u7528\u00a0<code class=\"language-text\">hfai.multiprocessing.spawn<\/code>\u00a0\u542f\u52a8\u591a\u5361\u5e76\u884c\u8bad\u7ec3\uff0c\u7ed1\u5b9a numa \u907f\u514d\u7f51\u7edc\u62e5\u585e\u4ee5\u63d0\u9ad8\u8bad\u7ec3\u6548\u7387\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\"><span class=\"token keyword\">if<\/span> __name__ <span class=\"token operator\">==<\/span> <span class=\"token string\">\"__main__\"<\/span><span class=\"token punctuation\">:<\/span>\r\n  args <span class=\"token operator\">=<\/span> parse_args<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>\r\n  ngpus <span class=\"token operator\">=<\/span> torch<span class=\"token punctuation\">.<\/span>cuda<span class=\"token punctuation\">.<\/span>device_count<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>\r\n  hfai<span class=\"token punctuation\">.<\/span>multiprocessing<span class=\"token punctuation\">.<\/span>spawn<span class=\"token punctuation\">(<\/span>main<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span>args<span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> nprocs<span class=\"token operator\">=<\/span>ngpus<span class=\"token punctuation\">,<\/span> bind_numa<span class=\"token operator\">=<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<\/div>\n<\/li>\n<li>\u8bad\u7ec3\u6bcf\u6b65\u90fd\u8f6e\u8be2\u4e00\u6b21\u8424\u706b\u96c6\u7fa4\uff0c\u770b\u5f53\u524d\u7684\u8ba1\u7b97\u8d44\u6e90\u662f\u5426\u8db3\u591f\u7ee7\u7eed\u8bad\u7ec3\uff0c\u505a\u597d\u65ad\u70b9\u7684\u4fdd\u5b58\n<div class=\"gatsby-highlight\" data-language=\"python\">\n<pre class=\"language-python\"><code class=\"language-python\">start_epoch<span class=\"token punctuation\">,<\/span> start_step<span class=\"token punctuation\">,<\/span> model<span class=\"token punctuation\">,<\/span> optimizer<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span> <span class=\"token operator\">=<\/span> load_ckpt<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span>\r\n\r\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">train<\/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>\r\n  <span class=\"token keyword\">for<\/span> epoch <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span>start_epoch<span class=\"token punctuation\">,<\/span> epochs<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\r\n    <span class=\"token keyword\">for<\/span> step<span class=\"token punctuation\">,<\/span> batch <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">enumerate<\/span><span class=\"token punctuation\">(<\/span>dataloader<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\r\n      <span class=\"token keyword\">if<\/span> step <span class=\"token operator\">&lt;<\/span> start_step<span class=\"token punctuation\">:<\/span>\r\n        <span class=\"token keyword\">continue<\/span>\r\n      \r\n      <span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span>\r\n\r\n      <span class=\"token keyword\">if<\/span> rank <span class=\"token operator\">==<\/span> <span class=\"token number\">0<\/span> <span class=\"token keyword\">and<\/span> local_rank <span class=\"token operator\">==<\/span><span class=\"token number\">0<\/span> <span class=\"token keyword\">and<\/span> hfai<span class=\"token punctuation\">.<\/span>client<span class=\"token punctuation\">.<\/span>receive_suspend_command<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span>\r\n        save_ckpt<span class=\"token punctuation\">(<\/span>model<span class=\"token punctuation\">,<\/span> epoch<span class=\"token punctuation\">,<\/span> step<span class=\"token operator\">+<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">,<\/span> optimizer<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>\r\n        hfai<span class=\"token punctuation\">.<\/span>go_suspend<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/code><\/pre>\n<\/div>\n<\/li>\n<\/ol>\n<p>\u901a\u8fc7\u5982\u4e0a4\u6b65\u7b80\u5355\u7684\u6539\u9020\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u57fa\u672c\u5229\u7528\u8d77\u8424\u706b\u96c6\u7fa4\u7684\u7279\u6027\uff0c\u5bf9 YOLOv5 \u7684\u8bad\u7ec3\u8fdb\u884c\u4f18\u5316\u63d0\u5347\u3002\u66f4\u591a\u8be6\u7ec6\u7684\u4ee3\u7801\u6539\u9020\u7ec6\u8282\uff0c\u53ef\u4ee5\u9605\u8bfb\u6211\u4eec\u5728\u6a21\u578b\u4ed3\u5e93\u4e2d<a href=\"https:\/\/github.com\/HFAiLab\/yolov5\">\u5f00\u6e90\u7684\u4ee3\u7801<\/a>\u3002<\/p>\n<h2 id=\"\u8bad\u7ec3\u7ed3\u679c\">\u8bad\u7ec3\u7ed3\u679c<\/h2>\n<p>\u6211\u4eec\u7533\u8bf7 4 \u4e2a\u8424\u706b\u8ba1\u7b97\u8282\u70b9\u8fdb\u884c\u5e76\u884c\u8bad\u7ec3\u3002\u901a\u8fc7 hfai \u547d\u4ee4\u884c\u5de5\u5177\u63d0\u4ea4\u4efb\u52a1\uff0c\u6d4b\u8bd5\u8424\u706b\u96c6\u7fa4\u5bf9 YOLOv5 \u8bad\u7ec3\u52a0\u901f\u7684\u6027\u80fd\u3002\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/p>\n<p><span class=\"gatsby-resp-image-wrapper\"><a class=\"gatsby-resp-image-link\" href=\"https:\/\/hfai-static.high-flyer.cn\/static\/0069e8cf48e5304cc07e5a23fc65866f\/92153\/result.jpg\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"gatsby-resp-image-image\" title=\"result\" src=\"https:\/\/hfai-static.high-flyer.cn\/static\/0069e8cf48e5304cc07e5a23fc65866f\/6aca1\/result.jpg\" sizes=\"(max-width: 650px) 100vw, 650px\" srcset=\"https:\/\/hfai-static.high-flyer.cn\/static\/0069e8cf48e5304cc07e5a23fc65866f\/d2f63\/result.jpg 163w,https:\/\/hfai-static.high-flyer.cn\/static\/0069e8cf48e5304cc07e5a23fc65866f\/c989d\/result.jpg 325w,https:\/\/hfai-static.high-flyer.cn\/static\/0069e8cf48e5304cc07e5a23fc65866f\/6aca1\/result.jpg 650w,https:\/\/hfai-static.high-flyer.cn\/static\/0069e8cf48e5304cc07e5a23fc65866f\/92153\/result.jpg 891w\" alt=\"result\" \/><\/a><\/span><\/p>\n<p>\u53ef\u4ee5\u770b\u5230\uff0c\u5de6\u53f3\u4e24\u56fe\u5206\u522b\u5c55\u793a\u4e86\u8424\u706b\u96c6\u7fa4\u7279\u6027\uff08hfai\uff09\u76f8\u6bd4\u539f\u59cb\u8bad\u7ec3\u65b9\u5f0f\uff08raw\uff09\u548c\u4e0d\u4f7f\u7528\u7b97\u5b50\uff0chfreduce (hfai w\/o nn&amp;hfreduce) \u7684\u52a0\u901f\u6548\u679c\u3002\u5982\u5de6\u56fe\u6240\u793a\uff0c\u5b8c\u6574\u7684\u8424\u706b\u96c6\u7fa4\u7279\u6027\u76f8\u6bd4\u539f\u59cb\u8bad\u7ec3\u65b9\u5f0f\u6709\u5c06\u8fd1\u00a0<strong>50%<\/strong>\u00a0\u7684\u8bad\u7ec3\u63d0\u901f\uff0c\u8fd9\u5f97\u76ca\u4e8e\u4f18\u79c0\u7684\u8bad\u7ec3\u6570\u636e\u96c6\u7ba1\u7406\u548c\u4f18\u826f\u7684\u7b97\u5b50\u4e0e\u901a\u4fe1\u80fd\u529b\uff1b\u5982\u53f3\u56fe\u6240\u793a\uff0c\u5728\u4f7f\u7528\u540c\u6837\u7684\u6570\u636e\u52a0\u8f7d\u6a21\u5f0f\u4e0b\uff0chfreduce \u548c hfai \u4f18\u5316\u7b97\u5b50\u53ef\u4ee5\u8fdb\u4e00\u6b65\u63d0\u5347\u8bad\u7ec3\u901f\u5ea6\uff0c\u5145\u5206\u5229\u7528\u663e\u5361\u8ba1\u7b97\u8d44\u6e90\uff0c\u6574\u4f53\u83b7\u5f97\u5c06\u8fd1 20% \u7684\u8bad\u7ec3\u63d0\u901f\u3002<\/p>\n<p>\u4e0b\u9762\u7ed9\u5927\u5bb6\u5c55\u793a\u4e00\u4e9b\u8424\u706b\u96c6\u7fa4\u8bad\u7ec3\u51fa\u7684 YOLOv5 \u6a21\u578b\u5728\u76ee\u6807\u68c0\u6d4b\u4efb\u52a1\u4e0a\u7684\u6548\u679c\uff1a<\/p>\n<p><span class=\"gatsby-resp-image-wrapper\"><a class=\"gatsby-resp-image-link\" href=\"https:\/\/hfai-static.high-flyer.cn\/static\/8dc03f22d32bc55f8f9a66b1b2777eb8\/0f529\/cases.png\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"gatsby-resp-image-image\" title=\"cases\" src=\"https:\/\/hfai-static.high-flyer.cn\/static\/8dc03f22d32bc55f8f9a66b1b2777eb8\/a6d36\/cases.png\" sizes=\"(max-width: 650px) 100vw, 650px\" srcset=\"https:\/\/hfai-static.high-flyer.cn\/static\/8dc03f22d32bc55f8f9a66b1b2777eb8\/222b7\/cases.png 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