{"id":4674,"date":"2026-01-05T18:23:37","date_gmt":"2026-01-05T10:23:37","guid":{"rendered":"https:\/\/10ccc.cc\/?p=4674"},"modified":"2026-01-23T01:19:50","modified_gmt":"2026-01-22T17:19:50","slug":"yolo%ef%bc%9a%e4%bb%8e%e6%a8%a1%e5%9e%8b%e6%9c%ac%e5%9c%b0%e5%be%ae%e8%b0%83%e5%88%b0%e9%83%a8%e7%bd%b2","status":"publish","type":"post","link":"https:\/\/10ccc.cc\/?p=4674","title":{"rendered":"YOLO\uff1a\u4ece\u6a21\u578b\u672c\u5730\u5fae\u8c03\u5230\u90e8\u7f72"},"content":{"rendered":"

\u524d\u6bb5\u65f6\u95f4\u62ff\u5230\u4e86\u4e00\u5757\u6b63\u70b9\u539f\u5b50\u7684 i.mx6ull \u677f\u5b50\uff0cbilibili \u4e00\u4e0b\u540e\u53d1\u73b0\u53ef\u4ee5\u8fd0\u884c linux\u3002 \u90a3\u80fd\u4e0d\u80fd\u52a0\u4e2a\u6444\u50cf\u5934\u505a\u4e2a\u76d1\u63a7\u54c8\u57fa\u7c73\u7684\u4e1c\u897f\u5462\uff1f\uff1f\uff1f\u4f3c\u4e4e\u662f\u53ef\u4ee5\u7684\u3002<\/p><\/blockquote>\n

\"\"<\/p>\n

\u4e8e\u662f\uff0c\u5c31\u8fd9\u4e48\u505a\u4e86\u4e2a\u6109\u5feb\u7684\u51b3\u5b9a\uff0c\u4e0d\u662f\uff1f<\/del><\/p>\n

1. \u7eed<\/h1>\n

\u6709\u4e9b\u8bb8\u8bef\u89e3\u3002\u5f00\u59cb\u67e5\u9605\u8d44\u6599\u4ee5\u53ca\u548c\u514b\u52b3\u5fb7\u3001\u5409\u76ae\u8e22\u4e86\u89e3\u7684\u76f8\u5173\u5185\u5bb9\u7684\u65f6\u5019\uff0c\u5f53\u65f6\u7406\u89e3\u53ea\u9700\u8981\u7528 OpenCV\u00a0 \u5c31\u53ef\u4ee5\u4e86\uff0c\u4f46\u662f\u4ece\u7b2c\u4e00\u884c\u4ee3\u7801\u5230\u5b9e\u9645\u8dd1\u901a\u4e00\u4e2a\u201c\u53ef\u7528\u7684\u201d demo \u65f6\uff0c\u624d\u53d1\u73b0\uff0c\u5bf9\u4e8e\u8fd9\u4e2a\u4efb\u52a1<\/ins>\uff0cOpenCV \u53ea\u662f\u89e3\u51b3\u4e86\u8fd0\u884c\u7684\u95ee\u9898\u3002\u5176\u4e2d\u5305\u542b\u7684 Yolo\u624d\u662f\u6838\u5fc3\u3002 \u7ec6\u7a76\u4e00\u4e0b\uff0c\u624d\u53d1\u73b0\u8981\u771f\u6b63\u4f7f \u7528 Yolo \uff0c\u8fd8\u9700\u8981\u5bf9 yolo \u6a21\u578b\u6839\u636e\u81ea\u8eab\u8981\u6c42\u8fdb\u884c\u8bad\u7ec3\u5fae\u8c03(\u8bad\u7ec3\u8fc7\u7a0b\u7684\u4ee3\u7801\u7ed9\u611f\u89c9 Yolo \u4f3c\u4e4e\u662f\u57fa\u4e8e Pytorch \u7684)\u3002<\/p>\n

\u597d\u5bb6\u4f19\uff0c\u53c8\u56de\u5230\u673a\u5668\u5b66\u4e60\u4e86\u662f\u5427\u3002Let's try how to train and deploy a yolo model!<\/p><\/blockquote>\n

2. \u6574\u4f53\u6d41\u7a0b<\/h1>\n

\u5728\u6b64\uff0c\u6211\u9884\u8ba1\u6309\u7167\u4e0b\u8ff0\u6d41\u7a0b\u8fdb\u884c\u9610\u8ff0\uff1a<\/p>\n

    \n
  1. \u73af\u5883\u642d\u5efa<\/strong>\uff1a\u6807\u6ce8\u73af\u5883\u3001\u8bad\u7ec3\u73af\u5883\u51c6\u5907\uff1b<\/li>\n
  2. \u8bad\u7ec3\u6570\u636e\u7684\u51c6\u5907<\/strong>\uff1a\u8fd9\u70b9\u5305\u62ec\uff1a\u6574\u7406\u8bad\u7ec3\u6570\u636e\u96c6\u3001\u6e05\u6d17\u6570\u636e\u3001\u6570\u636e\u6807\u6ce8\u3001\u6570\u636e\u683c\u5f0f\u8f6c\u6362(\u8fd9\u4e2a\u53ef\u4ee5\u5ffd\u7565\uff0c\u4e00\u822c\u6807\u6ce8\u5de5\u5177\u5728\u5bfc\u51fa\u65f6\u4f1a\u81ea\u52a8\u63d0\u4f9b\u8f6c\u6362\u683c\u5f0f\u7684\u529f\u80fd)\uff1b<\/li>\n
  3. \u6570\u636e\u96c6\u5212\u5206\uff1a<\/strong>\u5212\u5206 Training \/ Validation \u6570\u636e\u96c6\uff0c\u7531\u4e8e\u6570\u636e\u91cf\u8f83\u591a\uff0cTest\u96c6\u5408\u6211\u4eec\u5c31\u5ffd\u7565\u4e86\uff0c\u8fd9\u6b65\u6211\u5728\u540e\u7eed\u5185\u5bb9\u4e2d\u4f1a\u63d0\u4f9b\u76f8\u5173\u811a\u672c\uff1b<\/li>\n
  4. \u6a21\u578b\u5fae\u8c03\u8bad\u7ec3<\/strong>\uff1a\u8fd9\u91cc\u6211\u4eec\u9009\u62e9 yolo11s.pt \u4f5c\u4e3a\u57fa\u7840\u6a21\u578b\uff1b\u6839\u636e\u5bf9\u4e00\u4e9b\u5173\u952e\u53c2\u6570\u7684\u76d1\u63a7\uff0c\u53ef\u80fd\u9700\u8981\u91cd\u590d\u591a\u6b21\u8fdb\u884c\u8c03\u6574\uff1b<\/li>\n
  5. \u6a21\u578b\u9a8c\u8bc1<\/strong>\uff1a\u8fd9\u91cc\uff0c\u901a\u8fc7\u67e5\u770b\u76f8\u5173\u5173\u952e\u53c2\u6570\uff0c\u5982loss\u3001 Confusion Matrix\u7b49\uff1b<\/li>\n
  6. \u5b9e\u9645\u63a8\u7406\u548c\u6d4b\u8bd5<\/strong>\uff1a\u7528\u771f\u5b9e\u7684\u56fe\u7247\u8fdb\u884c\u6d4b\u8bd5\uff0c\u67e5\u770b\u5b9e\u9645\u8bc6\u522b\u7ed3\u679c\uff1b<\/li>\n
  7. \u90e8\u7f72\uff1a<\/strong>\u90e8\u7f72\u5230\u5b9e\u9645\u8bbe\u5907\u3002<\/strong><\/li>\n<\/ol>\n

     <\/p>\n

    3. \u73af\u5883\u642d\u5efa<\/h1>\n

    \u5728\u5b9e\u9645\u64cd\u4f5c\u8fc7\u7a0b\uff0c\u53d1\u73b0\u6570\u636e\u6807\u6ce8\u8f6f\u4ef6 label-studio \u548c yolo \u6709\u90e8\u5206\u4f9d\u8d56\u91cd\u53e0\uff0c\u4f46\u8981\u6c42\u7248\u672c\u4e0d\u540c\u3002\u56e0\u6b64\uff0c\u5efa\u8bae\u5206\u522b\u4e3a\u4ed6\u4eec\u5efa\u7acb\u4e00\u4e2a\u72ec\u7acb\u7684\u73af\u5883\u3002\u73af\u5883\u7ba1\u7406\u56e0\u4e3a\u4e4b\u524d\u5df2\u7ecf\u5b89\u88c5\u4e86 anaconda<\/a> \uff0c\u5c31\u4f7f\u7528\u5b83\u4e0d\u505a\u53d8\u66f4\u3002 \u5982\u679c\u89c9\u5f97 anaconda \u592a\u81c3\u80bf\uff0c\u53ef\u4ee5\u4f7f\u7528 miniconda \u6216\u8005 uv<\/a>\u00a0 ; \u5f53\u7136\uff0c\u5982\u679c\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86 3.11 \u6216\u4ee5\u4e0a\u7248\u672c\u7684 python \uff0c\u7528\u81ea\u5e26\u7684 pyenv \u4e5f\u53ef\u4ee5\u3002\u4f46\u8fd9\u91cc\uff0c\u6211\u4eec\u4ee5 anaconda \u4e3a\u6807\u51c6\u3002<\/p>\n

     <\/p>\n

    \u5982\u679c\u4f60\u4f7f\u7528\u7684\u662f macOS \u6216 linux\uff1a<\/p>\n

    \u9996\u5148\uff0c\u6211\u4eec\u6253\u5f00 terminal\uff0c\u5728 documents \u6587\u4ef6\u5939\u4e0b\u521b\u5efa\u9879\u76ee\u76ee\u5f55 yolo_finetune<\/ins>\uff1a<\/p>\n

    \n\t\t\t
    \n
    \n
    \n
    <\/div>\n
    <\/div>\n
    <\/div>\n <\/div>\n
    \n \n Copy Code<\/span>\n Copied<\/span>\n Use a different Browser<\/span><\/a>\n <\/div>\n <\/div>\n 
    <\/p>\n
    cd documents\r\n\r\nmkdir yolo_finetune\r\n\r\ncd yolo_finetune<\/pre>\n
    <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
     <\/p>\n
    \u5982\u679c\u4f60\u4f7f\u7528\u7684\u662f windows,:<\/p>\n
    \u5219\u53ef\u4ee5\u6253\u5f00 cmd , \u5728\u5e38\u7528\u7684\u4f4d\u7f6e\uff0c\u6bd4\u5982 D:\\ \u521b\u5efa\u6211\u4eec\u7684\u9879\u76ee\u76ee\u5f55 yolo_finetune<\/ins>\uff1a<\/p>\n
    \n\t\t\t
    \n                
    \n                    
    \n                        
    <\/div>\n                        
    <\/div>\n                        
    <\/div>\n                    <\/div>\n                    
    \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
    <\/p>\n
    D:\r\n\r\nmkdir yolo_finetune \r\n\r\ncd yolo_finetune<\/pre>\n
    <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
     <\/p>\n
    \u4e00\u5207\u5c31\u7eea\uff0c\u6211\u4eec\u5df2\u7ecf\u8eab\u5904 yolo_finetune \u4e2d,\u00a0 \u53ef\u4ee5\u8fdb\u884c\u540e\u7eed\u6b65\u9aa4\u3002<\/p>\n
     <\/p>\n
    3.1 label-studio \u73af\u5883<\/h2>\n
    \u4e3a label-studio \u521b\u5efa\u72ec\u7acb\u7684\u73af\u5883\uff0c\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\u5bfc\u81f4\u8bad\u7ec3\u6216\u6807\u6ce8\u4efb\u52a1\u51fa\u73b0\u95ee\u9898(\u867d\u7136\u5c1d\u8bd5\u4e86\u53ea\u7528\u4e00\u4e2a\u73af\u5883\u4f3c\u4e4e\u4e5f\u6ca1\u4ec0\u4e48\u4e8b\uff0c\u4f46\u4e3a\u4e86\u53ef\u590d\u73b0\u6027\uff0c\u8fd8\u662f\u5206\u5f00\u4e3a\u597d<\/del>)\u3002\u5728\u6b64\uff0c\u53ef\u901a\u8fc7\u540e\u7eed\u547d\u4ee4\u521b\u5efa\uff1a<\/p>\n
    \n\t\t\t
    \n                
    \n                    
    \n                        
    <\/div>\n                        
    <\/div>\n                        
    <\/div>\n                    <\/div>\n                    
    \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
    <\/p>\n
    conda create -p .\/labelenv python=3.11<\/pre>\n
    <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
    \u4e0a\u8ff0\u547d\u4ee4\u4f1a\u5728\u5f53\u524d\u76ee\u5f55\uff08yolo_finetune\uff09\u4e2d\u521b\u5efa\u73af\u5883 labelenv \uff0cpython \u7248\u672c\u4e3a 3.11\u00a0 \u3002\u7136\u540e\u6211\u4eec\u901a\u8fc7\u4e0b\u65b9\u547d\u4ee4\u6fc0\u6d3b\u5b83\u3002<\/p>\n
     <\/p>\n
    \n\t\t\t
    \n                
    \n                    
    \n                        
    <\/div>\n                        
    <\/div>\n                        
    <\/div>\n                    <\/div>\n                    
    \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
    <\/p>\n
    conda activate .\/labelenv<\/pre>\n
    <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
     <\/p>\n
    \u63a5\u7740\u6211\u4eec\u5b89\u88c5 label-studio\uff1a<\/p>\n
    \n\t\t\t
    \n                
    \n                    
    \n                        
    <\/div>\n                        
    <\/div>\n                        
    <\/div>\n                    <\/div>\n                    
    \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
    \n
    pip install<\/span>\u00a0label-studio\r\n<\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\r\n\r\n\r\n\u8981\u4f7f\u7528\u7684\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u4ee5\u6309\u7167\u4e0a\u8ff0\u6b65\u9aa4\u4e2d\u7684\u65b9\u6cd5\uff0c\u6fc0\u6d3b labelenv,\u7136\u540e\u542f\u52a8 label-studio\u3002\u5177\u4f53\u53ef\u6253\u5f00 terminal \uff1a\r\n<\/code><\/pre>\n
    \n\t\t\t
    \n                
    \n                    
    \n                        
    <\/div>\n                        
    <\/div>\n                        
    <\/div>\n                    <\/div>\n                    
    \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
    \n
    cd ~\/documents\/yolo_finetune\r\n\r\nconda activate .\/labelenv\r\n\r\nlabel-studio\r\n<\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\r\n\r\n\u6216\u8005windows\u4e0b\uff0c\u6253\u5f00 cmd\uff1a<\/code><\/pre>\n
    \n\t\t\t
    \n                
    \n                    
    \n                        
    <\/div>\n                        
    <\/div>\n                        
    <\/div>\n                    <\/div>\n                    
    \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
    \n
    D:\r\n\r\ncd yolo_finetune\r\n\r\nconda activate .\/labelenv\r\n\r\nlabel-studio\r\n<\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\r\n\r\n<\/code><\/pre>\n
    3.2 YOLO \u73af\u5883<\/h2>\n
    \n\t\t\t
    \n                
    \n                    
    \n                        
    <\/div>\n                        
    <\/div>\n                        
    <\/div>\n                    <\/div>\n                    
    \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
    <\/p>\n
    conda create -p .\/yoloenv python=3.11\r\n\r\nconda activate .\/yoloenv<\/pre>\n
    <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
    \u4e0a\u8ff0\u547d\u4ee4\u4f1a\u5728\u5f53\u524d\u76ee\u5f55\uff08yolo_finetune\uff09\u4e2d\u521b\u5efa\u73af\u5883 yoloenv \uff0cpython \u7248\u672c\u4e3a 3.11\u00a0 \u3002\u7136\u540e\u6211\u4eec\u6fc0\u6d3b\u5b83\u3002<\/p>\n
    YOLO \u4f9d\u8d56\u4e2d\u5305\u542b Pytorch\u3002\u800cPytorch\u7684\u5b89\u88c5\u65b9\u5f0f\u4e5f\u4f9d\u8d56\u4f60\u7684\u786c\u4ef6\u3002\u7136\uff0c\u5728\u6b64\u4e4b\u524d\uff0c\u8bf7\u5148\u68c0\u67e5\u4f60\u5f53\u524d\u4f7f\u7528\u7684\u7535\u8111\u7684\u786c\u4ef6\uff1a<\/p>\n
    3.2.1 WIN:<\/h3>\n
    \u5982\u679c\u4f60\u662f windows, \u8bf7\u5148\u5b89\u88c5 nvida \u663e\u5361\u9a71\u52a8\u4ee5\u53ca CUDA\u3002CUDA \u7248\u672c\u6700\u597d\u4e0d\u5c0f\u4e8e 11.8\uff0c \u4e0d\u9ad8\u4e8e 13.0 (2026-01-03 \u5199\u7a3f\u65f6\u7684\u6700\u9ad8\u652f\u6301\u7248\u672c)\u3002\u5982\u679c\u4f60\u7535\u8111\u6ca1\u6709\u663e\u5361\u3001\u6216\u8005\u662famd\u663e\u5361 (pytorch\u662f\u6709\u76f8\u5173api\u7684\uff0c\u4f46\u6ca1\u7528\u8fc7amd\u7684\u5361\uff0c\u4e0d\u77e5\u9053\u5177\u4f53\u600e\u4e48\u7528<\/del>)\u3001\u53c8\u6216\u662f macOS\u7cfb\u7edf\uff0c<\/ins>\u8bf7\u8df3\u8fc7\u3002<\/p>\n
    \u5b89\u88c5\u6559\u7a0b\uff1ahttps:\/\/zhuanlan.zhihu.com\/p\/32400431090<\/a><\/p><\/blockquote>\n
    \u5b89\u88c5\u5e76\u91cd\u542f\u5b8c\u6210\u540e\uff0c\u6253\u5f00cmd\uff0c\u6307\u5b9a\u4e0b\u65b9\u6307\u4ee4\uff0c\u5b83\u5e94\u8be5\u663e\u793a\u5df2\u5b89\u88c5\u7684 cuda \u7248\u672c\uff0c\u4e0b\u6587\u5047\u8bbe\u4f60\u5b89\u88c5\u7684\u662f 12.8 \u7248\u672c\u7684 CUDA:<\/ins><\/p>\n
    \n\t\t\t
    \n                
    \n                    
    \n                        
    <\/div>\n                        
    <\/div>\n                        
    <\/div>\n                    <\/div>\n                    
    \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
    <\/p>\n
    nvcc -V<\/pre>\n
    <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
    \u5b83\u7684\u8f93\u51fa\u5e94\u8be5\u7c7b\u4f3c\u4e8e\u4e0b\u56fe\uff0c\u5982\u679c\u4e00\u81f4\uff0c\u53ef\u4ee5\u8d70\u540e\u7eed\u6b65\u9aa4\uff0c\u5426\u5219\u8bf7\u91cd\u65b0\u5b89\u88c5\u9a71\u52a8\u548c CUDA\u3002<\/p>\n
    \"nvcc
    nvcc -V\u6267\u884c\u7ed3\u679c<\/figcaption><\/figure>\n
     <\/p>\n
    3.2.2 MAC:<\/h3>\n
    \u65e0\u9700\u505a\u4efb\u4f55\u4e8b<\/p><\/blockquote>\n
     <\/p>\n
    3.2.3 WIN\u5b89\u88c5Pytorch:<\/h3>\n
    \n
      \n
    1. \u64cd\u4f5c\u524d\u8bf7\u5728 \u6fc0\u6d3b yoloenv \u7684 terminal \u6216 cmd \u7a97\u53e3\u4e2d\u8fdb\u884c<\/ins>\u3002<\/li>\n
    2. \u5982\u679c\u4f60\u662f windows \u7cfb\u7edf\uff0c\u8fd8\u8bb0\u5f97\u4f60\u88c5\u7684 CUDA \u7248\u672c\u5417\uff1f<\/li>\n<\/ol>\n<\/blockquote>\n
       <\/p>\n
      \u6211\u4eec\u524d\u5f80 Pytorh\u7684\u5b98\u7f51\uff1apytorch.org<\/a> \u3002\u5982\u679c\u4f60\u662fwindows \u53ef\u6839\u636e\u4f60\u7684\u9a71\u52a8\u7684\u5b89\u88c5\u60c5\u51b5\u9009\u62e9\u590d\u5236\u4e0b\u65b9\u7684\u5b89\u88c5\u547d\u4ee4\uff1a<\/p>\n\n\n\n
      \n
      \"CUDA\"<\/a>
      CUDA<\/figcaption><\/figure><\/td>\n
      		\n
      \"CPU\"<\/a>
      CPU<\/figcaption><\/figure><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      cuda:<\/p>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      pip3 install torch torchvision --index-url https:\/\/download.pytorch.org\/whl\/cu128<\/p>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
      cpu:<\/p>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      pip3 install torch torchvision --index-url https:\/\/download.pytorch.org\/whl\/cpu<\/p>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
      \u5b89\u88c5\u5b8c\u6210\u540e\u6211\u4eec\u53ef\u4ee5\u9a8c\u8bc1\u662f\u5426\u5b89\u88c5\u6210\u529f\u3002\u5728\u540c\u4e00\u4e2a cmd \u7a97\u53e3\u4e2d\u8f93\u5165\uff1a<\/p>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      python\r\n\r\nimport torch\r\ntorch.cuda.is_available()<\/pre>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
      \u5982\u679c\u8f93\u51fa\u662f True, \u5219\u8bf4\u660e\u4f60\u7684 Cuda \u548c Pytorch \u90fd\u5b89\u88c5\u6b63\u5e38; \u5982\u679c\u662f False, \u8bf7\u91cd\u65b0\u5b89\u88c5 \u6216 \u76f4\u63a5\u4f7f\u7528 cpu \u7248\u672c\uff08\u4f46\u4f1a\u975e\u5e38\u6162\uff09\u3002<\/p>\n
       <\/p>\n
      3.2.4 MAC\u5b89\u88c5Pytorch:<\/h3>\n
      \u00a0\u64cd\u4f5c\u524d\u8bf7\u5728 \u6fc0\u6d3b yoloenv \u7684 terminal \u7a97\u53e3\u4e2d\u8fdb\u884c<\/ins>\u3002<\/p><\/blockquote>\n
      \"MPS\"<\/a>
      MPS<\/figcaption><\/figure>\n
      \u5982\u679c\u662f mac ,\u76f4\u63a5\u4f7f\u7528\u4e0b\u65b9\u547d\u4ee4\u5b89\u88c5\u5373\u53ef\uff1a<\/p>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      pip3 install torch torchvision<\/p>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
      \u9a8c\u8bc1\u662f\u5426\u5b89\u88c5\u6210\u529f\u3002\u5728\u540c\u4e00\u4e2a terminal \u7a97\u53e3\u4e2d\u8f93\u5165\uff1a<\/p>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      python\r\n\r\nimport torch\r\ntorch.mps.is_available()<\/pre>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
      \u5982\u679c\u8f93\u51fa\u662f True, \u5219\u8bf4\u660e Pytorch \u5b89\u88c5\u6b63\u5e38; \u5982\u679c\u662f False, \u53ef\u5c1d\u8bd5\u6309\u8fd9\u4e2a\u3010Apple\u5b98\u65b9\u6559\u7a0b<\/a>\u3011\u91cd\u65b0\u5b89\u88c5 \u6216 \u540e\u7eed\u76f4\u63a5\u4f7f\u7528 cpu \u7248\u672c\u8bad\u7ec3\u548c\u63a8\u7406\u3002<\/p>\n
       <\/p>\n
      pytorch\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u5b89\u88c5yolo \u4ee5\u53ca onnx (\u540e\u7eed\u5bfc\u51faonnx\u7ed9OpenCV\u4f7f\u7528\u65f6\u5019\u8981\u7528):<\/p>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      pip install -U ultralytics<\/p>\n
      pip3 install onnx onnxslim onnxruntime\u00a0<\/span><\/span><\/p>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
       <\/p>\n
      \u51c6\u5907\u57fa\u7840\u6a21\u578byolo11s.pt\uff0c\u7136\u540e\u7528\u51c6\u5907\u597d\u7684\u56fe\u7247\u5728\u5176\u57fa\u7840\u4e0a\u8fdb\u884c\u5fae\u8c03\u3002\u8be5\u547d\u4ee4\u5c06\u4e0b\u8f7d yolo11s.pt \u5230<\/span> yolo_finetune \u6587\u4ef6\u5939\u5185\uff1a<\/h4>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      yolo export model=yolo11s.pt format=pt<\/span><\/p>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
      \u5b8c\u4e8b\u5177\u5907\uff0c\u6b64\u65f6\uff0c\u6211\u4eec\u5df2\u7ecf\u5b8c\u6210\u4e86 labelenv \u548c yoloenv \u73af\u5883\u642d\u5efa\u7684\u5de5\u4f5c\uff0c\u53ef\u4ee5\u7740\u624b\u540e\u7eed\u6570\u636e\u96c6\u76f8\u5173\u7684\u5de5\u4f5c\u3002\u5f53\u524d\uff0c\u6211\u4eec\u7684 yolo_finetune \u6587\u4ef6\u5939\u5185\u7684\u7ed3\u6784\u5e94\u8be5\u7c7b\u4f3c\u4e8e<\/p>\n
      \"\u6587\u4ef6\u7ed3\u6784\"<\/a>
      \u6587\u4ef6\u7ed3\u6784<\/figcaption><\/figure>\n
       <\/p>\n
      yolo11s.onnx \u53ef\u4ee5\u5ffd\u7565\uff0c\u5dee\u5f02\u539f\u56e0\u662f\u6211\u5728\u5bfc\u51fa yolo11s.pt \u7684\u65f6\u5019\u4f7f\u7528\u7684\u547d\u4ee4 yolo export model=yolo11s.pt format=onnx \u3002<\/span><\/p><\/blockquote>\n
       <\/p>\n
      4. \u8bad\u7ec3\u6570\u636e\u7684\u51c6\u5907<\/h1>\n
      \"\u6570\u636e\u96c6\u7684\u597d\u574f\u5f88\u5927\u7a0b\u5ea6\u4e0a\u5f71\u54cd\u6a21\u578b\u6027\u80fd\"
      \u6570\u636e\u96c6\u7684\u597d\u574f\u5f88\u5927\u7a0b\u5ea6\u4e0a\u5f71\u54cd\u6a21\u578b\u6027\u80fd<\/figcaption><\/figure>\n
      4.1 \u4e0b\u8f7d\u6570\u636e\u96c6\uff1a<\/h2>\n
      \u732b\u5206\u7c7b\u6570\u636e\u96c6.zip
      \n\u94fe\u63a5\uff1ahttps:\/\/pan.quark.cn\/s\/2ada05b5d874<\/a>
      \n\u63d0\u53d6\u7801\uff1a1xNa<\/p><\/blockquote>\n
      \u539f\u6570\u636e\u5df2\u7ecf\u8fdb\u884c\u4e86\u57fa\u672c\u7684\u6e05\u6d17\uff0c\u5254\u9664\u4e86\u8fc7\u4e8e\u6a21\u7cca\u3001\u9a6c\u8d5b\u514b\u3001\u5c3a\u5bf8\u4e0d\u5408\u683c\u7684\u56fe\u7247\uff0c\u5e76\u4e14\u5df2\u7ecf\u6309\u7167 \u6d4b\u8bd5 : \u8bad\u7ec3 = 1 : 9 \u5212\u5206\u4e86\u6570\u636e\u3002<\/p>\n
      4.2 \u57fa\u7840\u6570\u636e\u6e05\u6d17<\/h2>\n
      \u5176\u4e2d\u5bf9\u4e8e\u6a21\u7cca(\u9ad8\u65af\u6a21\u7cca<\/span>)\u7684\u5224\u65ad\u662f\u5c06\u56fe\u7247\u8f6c\u7070\u5ea6\u56fe\u540e\u8ba1\u7b97 Laplacian Operator(\u4e8c\u9636\u5bfc)\u53ca\u5176\u65b9\u5dee\uff1b\u5bf9\u4e8e\u6a21\u7cca(\u9a6c\u8d5b\u514b\u6a21\u7cca<\/span>)\uff0c\u5219\u662f\u5bf9\u7070\u5ea6\u56fe\u6c42sobel\u65b9\u5411\u96c6\u4e2d\u5ea6<\/em><\/p>\n
       <\/p>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      cv::mat img, gray, lap;\r\nimg = cv::imread(\"path to image\");\r\n\r\n\r\ncv::cvtColor(img, gray, cv::COLOR_BGR2GRAY);          \r\ncv::Laplacian(gray, lap, CV_64F);              \r\n       \r\ncv::Scalar mean, sigma;\r\ncv::meanStdDev(lap, mu, sigma);                     \r\ndouble variance = sigma.val[0] * sigma.val[0];\r\ndouble threshold = 100.0;\r\n\/*\r\n\u7136\u540e\u901a\u8fc7  variance \u4e0e threshold \u6bd4\u8f83\uff0c\u5c0f\u4e8ethreshold \u8bf4\u660e\u6a21\u7cca\r\n*\/\r\n<\/pre>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
       <\/p>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      bool isMosaicByGradient(const cv::Mat& img)\r\n{\r\n    cv::Mat gray;\r\n    cv::cvtColor(img, gray, cv::COLOR_BGR2GRAY);\r\n\r\n    cv::Mat gx, gy;\r\n    cv::Sobel(gray, gx, CV_32F, 1, 0, 3);\r\n    cv::Sobel(gray, gy, CV_32F, 0, 1, 3);\r\n\r\n    cv::Mat mag, angle;\r\n    cv::cartToPolar(gx, gy, mag, angle, true); \/\/ angle: 0~360\u00b0\r\n\r\n    int hvCount = 0;\r\n    int total = 0;\r\n\r\n    for (int y = 0; y < angle.rows; y++)\r\n    {\r\n        for (int x = 0; x < angle.cols; x++)\r\n        {\r\n            float m = mag.at<float>(y, x);\r\n            if (m < 20) continue;  \/\/ \u5ffd\u7565\u5f31\u8fb9\u7f18\r\n\r\n            float a = angle.at<float>(y, x);\r\n            total++;\r\n\r\n            \/\/ \u63a5\u8fd1 0\u00b0, 90\u00b0, 180\u00b0, 270\u00b0\r\n            if (a < 10 || (a > 80 && a < 100) ||\r\n                (a > 170 && a < 190) ||\r\n                (a > 260 && a < 280))\r\n            {\r\n                hvCount++;\r\n            }\r\n        }\r\n    }\r\n\r\n    if (total == 0) return false;\r\n\r\n    double ratio = (double)hvCount \/ total;\r\n    return ratio > 0.75; \/\/ \u9a6c\u8d5b\u514b\u901a\u5e38 > 0.8\r\n}\r\n<\/pre>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
       <\/p>\n
      5. \u6570\u636e\u6807\u6ce8<\/h1>\n
      5.1 \u96c6\u5408\u6570\u636e<\/h2>\n
      \u89e3\u538b \u732b\u5206\u7c7b\u6570\u636e\u96c6.zip \u540e\uff0c\u5c06\u4e14\u4ec5\u5c06\u56fe\u7247\u653e\u5230 cat_data \u6587\u4ef6\u5939\u4e2d\u5e76\u7ecf\u8fc7\u6e05\u6d17\u540e\uff0c\u4f60\u7684\u9879\u76ee\u76ee\u5f55\u7ed3\u6784\u5e94\u8be5\u7c7b\u4f3c\u4e8e\u4e0b\u56fe\uff1a<\/p>\n
      \"\u5f53\u524d\u6587\u4ef6\u7ed3\u6784\"<\/a>
      \u5f53\u524d\u6587\u4ef6\u7ed3\u6784<\/figcaption><\/figure>\n
      5.2 LabelStudio\u521b\u5efayolo\u9879\u76ee<\/h2>\n
      \u6fc0\u6d3b labelenv<\/ins> \u540e\u8f93\u5165\u547d\u4ee4 label-studio<\/span> \u540e\u4f1a\u81ea\u52a8\u5728\u6d4f\u89c8\u5668\u4e2d(\u5730\u5740\uff1ahttp:\/\/localhost:8080\/<\/span> )\u6253\u5f00 Label Studio \u3002\u6253\u5f00\u540e\u9700\u8981\u6ce8\u518c(\u6570\u636e\u662f\u5b58\u5728\u672c\u5730\u7684\uff0c\u65e0\u9700\u8054\u7f51\uff0c\u8d26\u6237\u4ec5\u7528\u4e8e\u533a\u5206\u6743\u9650<\/span>)\uff0c\u968f\u4fbf\u8f93\u5165\u90ae\u7bb1\u548c\u5bc6\u7801\u5c31\u597d\u3002\u8fdb\u5165 Label Studio<\/p>\n
      \"Label<\/a>
      Label Studio \u4e3b\u754c\u9762<\/figcaption><\/figure>\n
      5.2.1 \u521b\u5efa\u9879\u76ee<\/h3>\n
      \u5728\u4e3b\u754c\u9762\u4e0a\u70b9\u51fb Create Project \u521b\u5efa\u6807\u6ce8\u9879\u76ee CatLabel\uff1a<\/p>\n
      \"\"<\/a>\u5728Project Name\u4e2d\u586b\u5199CatLabel<\/p>\n
      \"\"<\/a>\u5728Data Import \u4e2d\u5bfc\u5165 cat_data \u4e2d\u5df2\u7ecf\u51c6\u5907\u597d\u7684\u56fe\u7247\u6570\u636e<\/p>\n
      \"\"<\/a>Labeling Setup\u4e2d\u9009\u62e9 Object Detection with Bounding Boxes<\/p>\n
      \"\"<\/a>\u6dfb\u52a0\u6807\u7b7e Cat\uff0c\u5e76\u5220\u9664\u591a\u4f59\u6807\u7b7e<\/p>\n
      5.2.2 \u6807\u6ce8\u5e76\u5bfc\u51fa<\/h3>\n
      \u8fd9\u662f\u6700\u65e0\u8da3\u4f46\u5f88\u91cd\u8981\u7684\u90e8\u5206\uff0c\u6807\u6ce8\u8981\u5305\u62ec\u732b\u7684\u6574\u4f53\uff0c\u4f46\u4e0d\u4e5f\u4e0d\u80fd\u5305\u62ec\u592a\u591a\u4e0d\u662f\u732b\u7684\u90e8\u5206\u3002<\/p>\n
       <\/p>\n
      \"\"<\/a>\u6309\u56fe\u4e2d\u6570\u5b57\u987a\u5e8f\u8fdb\u884c\u64cd\u4f5c<\/p>\n
      \"\"<\/a>\u4e00\u5f20\u56fe\u7247\u6807\u6ce8\u64cd\u4f5c\u5b8c\u6210\u540e\u5c06\u5de6\u4fa7\u7684\u56fe\u7247\u52fe\u9009\u4e0a\uff0c\u8868\u793a\u6b64\u56fe\u5df2\u7ecf\u6807\u6ce8\u5b8c\u6210<\/p>\n
      \u5c06\u5bfc\u5165\u7684\u56fe\u7247\u5168\u90e8\u6807\u6ce8\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u56de\u5230\u5217\u8868\uff0c\u5c06\u6240\u6709\u5df2\u6807\u6ce8\u7684\u56fe\u7247\u9009\u4e2d\u5e76\u5bfc\u51fa\u3002\u6ce8\u610f\uff0c\u9009\u62e9\u5bfc\u51fa\u683c\u5f0f\u7684\u65f6\u5019\u9700\u8981\u9009\u62e9yolo with images<\/p>\n
      \"\"<\/a>
      \u9009\u62e9\u5168\u90e8\u5df2\u6807\u6ce8\u56fe\u7247\u4ee5\u5907\u5bfc\u51fa<\/figcaption><\/figure>\n
       <\/p>\n
      \"\"<\/a>
      \u9009\u62e9YOLO with Images<\/figcaption><\/figure>\n
      \u5bfc\u51fa\u540e\u7684\u662f\u4e00\u4e2a\u538b\u7f29\u5305\uff0c\u5b83\u7684\u540d\u5b57\u7c7b\u4f3c\u4e8e \uff1aproject-2-at-2026-01-04-05-26-5e265015.zip \u3002\u6211\u4eec\u5c06\u538b\u7f29\u5305\u7684\u5185\u5bb9\u4e2d\u7684\u5185\u5bb9\u5bfc\u51fa\u5230\u9879\u76ee\u6839\u76ee\u5f55 yolo_finetune\u4e2d\u7684 labeled_data\u4e2d\u3002\u6b64\u65f6\uff0clabeled_data \u7684\u7ed3\u6784\u5e94\u8be5\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/p>\n
      \"labeled_data<\/a>
      labeled_data \u6587\u4ef6\u5939\u7ed3\u6784<\/figcaption><\/figure>\n
       <\/p>\n
       <\/p>\n
      6. \u6570\u636e\u96c6\u5212\u5206<\/h1>\n
      \u6570\u636e\u96c6\u5408\u5e76\u4e14\u6807\u6ce8\u540e<\/ins>\uff0c\u5c06 label studio\u5bfc\u51fa\u7684\u6587\u4ef6\u5939 labeled_data \u540e train_val_split.py<\/a> \u6765\u91cd\u65b0\u5212\u5206\u3002<\/p>\n
      \"labeled_data<\/a>
      labeled_data \u6587\u4ef6\u5939\u7ed3\u6784<\/figcaption><\/figure>\n
      \u6ce8\u610f\u6fc0\u6d3b labelenv \u540e\u6267\u884c<\/ins>\u4e0b\u65b9\u547d\u4ee4\uff0c\u6267\u884c\u5b8c\u6bd5\u540e\uff0cyolo_finetune \u6587\u4ef6\u5939\u5185\u4f1a\u591a\u4e00\u4e2adata\u6587\u4ef6\u5939\uff0c\u5176\u4e2d labeled_data \u662f\u5df2\u7ecf\u6807\u6ce8\u597d\u7684 yolo \u6570\u636e\u96c6\u5408\uff0c\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/p>\n
      \"\"<\/a>
      data folder structure<\/figcaption><\/figure>\n
      \n\t\t\t
      \n                
      \n                    
      \n                        
      <\/div>\n                        
      <\/div>\n                        
      <\/div>\n                    <\/div>\n                    
      \n                        \n                        Copy Code<\/span>\n                        Copied<\/span>\n                        Use a different Browser<\/span><\/a>\n                    <\/div>\n                <\/div>\n                
      <\/p>\n
      python train_val_split.py --datapath=\".\/labeled_data\" --train_pct=0.9<\/pre>\n
      <\/code><\/pre>\n\t\t\t<\/div>\n        <\/div>\n
      <\/h1>\n
      7. \u6a21\u578b\u5fae\u8c03\u8bad\u7ec3<\/h1>\n
      \"\"<\/a>
      \u8bad\u7ec3\u786e\u5b9e\u5403\u5185\u5b58<\/figcaption><\/figure>\n
       <\/p>\n
      \u6a21\u578b\u5fae\u8c03\u8bad\u7ec3\u7684\u5177\u4f53\u8fc7\u7a0b\u53ef\u3010\u5c55\u5f00\u3011\u4e0b\u65b9 Jupyter Notebook \u6765\u67e5\u770b\u3002\u5f53\u7136\uff0c\u4f60\u4e5f\u53ef\u4ee5\u3010\u4e0b\u8f7d<\/a>\u3011<\/ins>\u540e\u672c\u5730\u8fd0\u884c\u3002<\/p>\n
      \n