{"id":6560,"date":"2022-08-30T21:30:00","date_gmt":"2022-08-30T13:30:00","guid":{"rendered":"http:\/\/139.9.1.231\/?p=6560"},"modified":"2022-09-06T15:32:31","modified_gmt":"2022-09-06T07:32:31","slug":"segmenticsum","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2022\/08\/30\/segmenticsum\/","title":{"rendered":"\u6df1\u5ea6\u5b66\u4e60\u8bed\u4e49\u5206\u5272\u7406\u8bba\u4e0e\u5b9e\u6218\u6307\u5357"},"content":{"rendered":"\n

\u770b\u5230github\u4e2d\u4e00\u4e2a\u5199\u7684\u5f88\u68d2\u7684\u56fe\u50cf\u5206\u5272\u7684\u4ecb\u7ecd\u548c\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n\n\n\n

https:\/\/github.com\/luwill\/Semantic-Segmentation-Guide<\/a><\/p>\n\n\n\n

\u5bf9\u4e8e\u521a\u5165\u95e8\u7684\u540c\u5b66\u6765\u8bf4\uff0c\u5341\u5206\u53cb\u597d\u3002<\/p>\n\n\n\n

\u5f15\u8a00<\/h2>\n\n\n\n

\u56fe\u50cf\u5206\u7c7b\u3001\u76ee\u6807\u68c0\u6d4b\u548c\u56fe\u50cf\u5206\u5272\u662f\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u4e09\u5927\u6838\u5fc3\u4efb\u52a1\u3002\u4e09\u5927\u4efb\u52a1\u4e4b\u95f4\u660e\u663e\u5b58\u5728\u7740\u4e00\u79cd\u9012\u8fdb\u7684\u5c42\u7ea7\u5173\u7cfb\uff0c\u56fe\u50cf\u5206\u7c7b\u805a\u7126\u4e8e\u6574\u5f20\u56fe\u50cf\uff0c\u76ee\u6807\u68c0\u6d4b\u5b9a\u4f4d\u4e8e\u56fe\u50cf\u5177\u4f53\u533a\u57df\uff0c\u800c\u56fe\u50cf\u5206\u5272\u5219\u662f\u7ec6\u5316\u5230\u6bcf\u4e00\u4e2a\u50cf\u7d20\u3002\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u56fe\u50cf\u5206\u5272\u5177\u4f53\u5305\u62ec\u8bed\u4e49\u5206\u5272\u3001\u5b9e\u4f8b\u5206\u5272\u548c\u5168\u666f\u5206\u5272\u3002\u8bed\u4e49\u5206\u5272\u7684\u76ee\u7684\u662f\u8981\u7ed9\u6bcf\u4e2a\u50cf\u7d20\u8d4b\u4e88\u4e00\u4e2a\u8bed\u4e49\u6807\u7b7e\u3002\u8bed\u4e49\u5206\u5272\u5728\u81ea\u52a8\u9a7e\u9a76\u3001\u573a\u666f\u89e3\u6790\u3001\u536b\u661f\u9065\u611f\u56fe\u50cf\u548c\u533b\u5b66\u5f71\u50cf\u7b49\u9886\u57df\u90fd\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u524d\u666f\u3002\u672c\u6587\u4f5c\u4e3a\u57fa\u4e8ePyTorch\u7684\u8bed\u4e49\u5206\u5272\u6280\u672f\u624b\u518c\uff0c\u5bf9\u8bed\u4e49\u5206\u5272\u7684\u57fa\u672c\u6280\u672f\u6846\u67b6\u3001\u4e3b\u8981\u7f51\u7edc\u6a21\u578b\u548c\u6280\u672f\u65b9\u6cd5\u63d0\u4f9b\u4e00\u4e2a\u5b9e\u6218\u6027\u6307\u5bfc\u548c\u53c2\u8003\u3002<\/p>\n\n\n\n

<\/a>1. \u8bed\u4e49\u5206\u5272\u6982\u8ff0<\/h2>\n\n\n\n

\u56fe\u50cf\u5206\u5272\u4e3b\u8981\u5305\u62ec\u8bed\u4e49\u5206\u5272\uff08Semantic Segmentation\uff09\u548c\u5b9e\u4f8b\u5206\u5272\uff08Instance Segmentation\uff09\u3002\u90a3\u8bed\u4e49\u5206\u5272\u548c\u5b9e\u4f8b\u5206\u5272\u5177\u4f53\u90fd\u662f\u4ec0\u4e48\u542b\u4e49\uff1f\u4e8c\u8005\u53c8\u6709\u4ec0\u4e48\u533a\u522b\u548c\u8054\u7cfb\uff1f\u8bed\u4e49\u5206\u5272\u662f\u5bf9\u56fe\u50cf\u4e2d\u7684\u6bcf\u4e2a\u50cf\u7d20\u90fd\u5212\u5206\u51fa\u5bf9\u5e94\u7684\u7c7b\u522b\uff0c\u5373\u5b9e\u73b0\u50cf\u7d20\u7ea7\u522b\u7684\u5206\u7c7b\uff1b\u800c\u7c7b\u7684\u5177\u4f53\u5bf9\u8c61\uff0c\u5373\u4e3a\u5b9e\u4f8b\uff0c\u90a3\u4e48\u5b9e\u4f8b\u5206\u5272\u4e0d\u4f46\u8981\u8fdb\u884c\u50cf\u7d20\u7ea7\u522b\u7684\u5206\u7c7b\uff0c\u8fd8\u9700\u5728\u5177\u4f53\u7684\u7c7b\u522b\u57fa\u7840\u4e0a\u533a\u522b\u5f00\u4e0d\u540c\u7684\u4e2a\u4f53\u3002\u4f8b\u5982\uff0c\u56fe\u50cf\u6709\u591a\u4e2a\u4eba\u7532\u3001\u4e59\u3001\u4e19\uff0c\u90a3\u8fb9\u4ed6\u4eec\u7684\u8bed\u4e49\u5206\u5272\u7ed3\u679c\u90fd\u662f\u4eba\uff0c\u800c\u5b9e\u4f8b\u5206\u5272\u7ed3\u679c\u5374\u662f\u4e0d\u540c\u7684\u5bf9\u8c61\u3002\u53e6\u5916\uff0c\u4e3a\u4e86\u540c\u65f6\u5b9e\u73b0\u5b9e\u4f8b\u5206\u5272\u4e0e\u4e0d\u53ef\u6570\u7c7b\u522b\u7684\u8bed\u4e49\u5206\u5272\uff0c\u76f8\u5173\u7814\u7a76\u53c8\u63d0\u51fa\u4e86\u5168\u666f\u5206\u5272\uff08Panoptic Segmentation\uff09\u7684\u6982\u5ff5\u3002\u8bed\u4e49\u5206\u5272\u3001\u5b9e\u4f8b\u5206\u5272\u548c\u5168\u666f\u5206\u5272\u5177\u4f53\u5982\u56fe1\uff08b\uff09\u3001\uff08c\uff09\u548c\uff08d\uff09\u56fe\u6240\u793a\u3002<\/p>\n\n\n\n

\"\"\/<\/a><\/figure>\n\n\n\n

Fig1. Image Segmentation
\u5728\u5f00\u59cb\u56fe\u50cf\u5206\u5272\u7684\u5b66\u4e60\u548c\u5c1d\u8bd5\u4e4b\u524d\uff0c\u6211\u4eec\u5fc5\u987b\u660e\u786e\u8bed\u4e49\u5206\u5272\u7684\u4efb\u52a1\u63cf\u8ff0\uff0c\u5373\u641e\u6e05\u695a\u8bed\u4e49\u5206\u5272\u7684\u8f93\u5165\u8f93\u51fa\u90fd\u662f\u4ec0\u4e48\u3002\u8f93\u5165\u662f\u4e00\u5f20\u539f\u59cb\u7684RGB\u56fe\u50cf\u6216\u8005\u5355\u901a\u9053\u56fe\u50cf\uff0c\u4f46\u662f\u8f93\u51fa\u4e0d\u518d\u662f\u7b80\u5355\u7684\u5206\u7c7b\u7c7b\u522b\u6216\u8005\u76ee\u6807\u5b9a\u4f4d\uff0c\u800c\u662f\u5e26\u6709\u5404\u4e2a\u50cf\u7d20\u7c7b\u522b\u6807\u7b7e\u7684\u4e0e\u8f93\u5165\u540c\u5206\u8fa8\u7387\u7684\u5206\u5272\u56fe\u50cf\u3002\u7b80\u5355\u6765\u8bf4\uff0c\u6211\u4eec\u7684\u8f93\u5165\u8f93\u51fa\u90fd\u662f\u56fe\u50cf\uff0c\u800c\u4e14\u662f\u540c\u6837\u5927\u5c0f\u7684\u56fe\u50cf\u3002\u5982\u56fe2\u6240\u793a\u3002 <\/p>\n\n\n\n

\"\"\/<\/a><\/figure>\n\n\n\n

Fig2. Pixel Representation
\u7c7b\u4f3c\u4e8e\u5904\u7406\u5206\u7c7b\u6807\u7b7e\u6570\u636e\uff0c\u5bf9\u9884\u6d4b\u5206\u7c7b\u76ee\u6807\u91c7\u7528\u50cf\u7d20\u4e0a\u7684one-hot\u7f16\u7801\uff0c\u5373\u4e3a\u6bcf\u4e2a\u5206\u7c7b\u7c7b\u522b\u521b\u5efa\u4e00\u4e2a\u8f93\u51fa\u7684\u901a\u9053\u3002\u5982\u56fe3\u6240\u793a\u3002 <\/p>\n\n\n\n

\"\"\/<\/a><\/figure>\n\n\n\n

Fig3. Pixel One-hot
\u56fe4\u662f\u5c06\u5206\u5272\u56fe\u6dfb\u52a0\u5230\u539f\u59cb\u56fe\u50cf\u4e0a\u7684\u53e0\u52a0\u6548\u679c\u3002\u8fd9\u91cc\u9700\u8981\u660e\u786e\u4e00\u4e0bmask\u7684\u6982\u5ff5\uff0c\u5728\u56fe\u50cf\u5904\u7406\u4e2d\u6211\u4eec\u5c06\u5176\u8bd1\u4e3a\u63a9\u7801\uff0c\u5982Mask R-CNN\u4e2d\u7684Mask\u3002Mask\u53ef\u4ee5\u7406\u89e3\u4e3a\u6211\u4eec\u5c06\u9884\u6d4b\u7ed3\u679c\u53e0\u52a0\u5230\u5355\u4e2a\u901a\u9053\u65f6\u5f97\u5230\u7684\u8be5\u5206\u7c7b\u6240\u5728\u533a\u57df\u3002 <\/p>\n\n\n\n

\"\"\/<\/a><\/figure>\n\n\n\n

Fig4. Pixel labeling
\u6240\u4ee5\uff0c\u8bed\u4e49\u5206\u5272\u7684\u4efb\u52a1\u5c31\u662f\u8f93\u5165\u56fe\u50cf\u7ecf\u8fc7\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5904\u7406\u5f97\u5230\u5e26\u6709\u8bed\u4e49\u6807\u7b7e\u7684\u540c\u6837\u5c3a\u5bf8\u7684\u8f93\u51fa\u56fe\u50cf\u3002<\/p>\n\n\n\n

\u3002\u3002\u3002\u3002\u3002\u3002\u3002\uff08\u5269\u4f59\u90e8\u5206\u5728github<\/a>\u53ef\u67e5\u770b\uff09<\/p>\n","protected":false},"excerpt":{"rendered":"

\u770b\u5230github\u4e2d\u4e00\u4e2a\u5199\u7684\u5f88\u68d2\u7684\u56fe\u50cf\u5206\u5272\u7684\u4ecb\u7ecd\u548c\u4ee3\u7801\u5b9e\u73b0\uff1a https:\/\/github.com\/luwill … \u7ee7\u7eed\u9605\u8bfb\u6df1\u5ea6\u5b66\u4e60\u8bed\u4e49\u5206\u5272\u7406\u8bba\u4e0e\u5b9e\u6218\u6307\u5357<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[24],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/6560"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=6560"}],"version-history":[{"count":3,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/6560\/revisions"}],"predecessor-version":[{"id":7344,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/6560\/revisions\/7344"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=6560"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=6560"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=6560"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}