{"id":3724,"date":"2022-04-12T21:28:56","date_gmt":"2022-04-12T13:28:56","guid":{"rendered":"http:\/\/139.9.1.231\/?p=3724"},"modified":"2022-04-12T22:13:47","modified_gmt":"2022-04-12T14:13:47","slug":"object_detect","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2022\/04\/12\/object_detect\/","title":{"rendered":"\u76ee\u6807\u68c0\u6d4b\u5e93\u3001\u5e73\u53f0"},"content":{"rendered":"\n<p>\u7269\u4f53\u68c0\u6d4b\u548c\u5206\u5272\u5e94\u8be5\u7b97\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u5e38\u7528\u7684\u800c\u4e14\u4e5f\u6bd4\u8f83\u9177\u7684\u4efb\u52a1\u3002\u4f46\u76f8\u6bd4\u56fe\u50cf\u5206\u7c7b\uff0c\u7269\u4f53\u68c0\u6d4b\u548c\u5206\u5272\u4efb\u52a1\u96be\u5ea6\u66f4\u5927\uff0c\u53e6\u5916\u4e00\u70b9\u662f\u5c31\u662f\u4ee3\u7801\u5b9e\u73b0\u4e5f\u66f4\u590d\u6742\u3002\u5bf9\u4e8e\u7269\u4f53\u68c0\u6d4b\u548c\u5206\u5272\uff0c\u76ee\u524d\u6709\u4ee5\u4e0b\u51e0\u4e2a\u901a\u7528\u7684\u5f00\u6e90\u9879\u76ee\uff1a<\/p>\n\n\n\n<ul><li><strong><a href=\"https:\/\/github.com\/facebookresearch\/Detectron\" target=\"_blank\" rel=\"noreferrer noopener\">Detectron<\/a><\/strong>\uff1aFAIR\u51fa\u54c1\uff0c\u57fa\u4e8ecaffe2\uff1b<\/li><li><strong><a href=\"https:\/\/github.com\/facebookresearch\/maskrcnn-benchmark\" target=\"_blank\" rel=\"noreferrer noopener\">maskrcnn-benchmark<\/a><\/strong>\uff1aFAIR\u51fa\u54c1\uff0c\u57fa\u4e8ePyTorch\uff0c\u53ef\u4ee5\u770b\u6210Detectron\u7684PyTorch\u5347\u7ea7\u7248\uff1b<\/li><li><strong><a href=\"https:\/\/github.com\/open-mmlab\/mmdetection\/\" target=\"_blank\" rel=\"noreferrer noopener\">MMDetection<\/a><\/strong>\uff1a\u5546\u6c64MMLab\u51fa\u54c1\uff0c\u57fa\u4e8ePyTorch\uff0cModel zoo\u76f8\u5f53\u5b8c\u5907\uff1b<\/li><li><strong><a href=\"https:\/\/github.com\/TuSimple\/simpledet\" target=\"_blank\" rel=\"noreferrer noopener\">SimpleDet<\/a><\/strong>\uff1a\u56fe\u68ee\u51fa\u54c1\uff0c\u57fa\u4e8eMxNet\uff1b<\/li><li><strong><a href=\"https:\/\/github.com\/tensorflow\/models\/tree\/master\/research\/object_detection\" target=\"_blank\" rel=\"noreferrer noopener\">Tensorflow Object Detection<\/a><\/strong>\uff1aGoogle\u51fa\u54c1\uff0c\u57fa\u4e8eTensorFlow 1.x\uff1b<\/li><\/ul>\n\n\n\n<p>1\u3001detectron2<\/p>\n\n\n\n<p><a href=\"https:\/\/detectron2.readthedocs.io\/en\/latest\/tutorials\/index.html\">https:\/\/detectron2.readthedocs.io\/en\/latest\/tutorials\/index.html<\/a><\/p>\n\n\n\n<p>2\u3001coco<\/p>\n\n\n\n<p>https:\/\/cocodataset.org\/<\/p>\n\n\n\n<p>3\u3001MMDetection <\/p>\n\n\n\n<p>MMDetection \u662f\u4e00\u4e2a\u57fa\u4e8e PyTorch \u7684\u76ee\u6807\u68c0\u6d4b\u5f00\u6e90\u5de5\u5177\u7bb1\u3002\u5b83\u662f&nbsp;<a href=\"https:\/\/openmmlab.com\/\">OpenMMLab<\/a>&nbsp;\u9879\u76ee\u7684\u4e00\u90e8\u5206\u3002<\/p>\n\n\n\n<p>\u4e3b\u5206\u652f\u4ee3\u7801\u76ee\u524d\u652f\u6301 PyTorch 1.5 \u4ee5\u4e0a\u7684\u7248\u672c\u3002\u4e3b\u8981\u7279\u6027<\/p>\n\n\n\n<ul><li><strong>\u6a21\u5757\u5316\u8bbe\u8ba1<\/strong>MMDetection \u5c06\u68c0\u6d4b\u6846\u67b6\u89e3\u8026\u6210\u4e0d\u540c\u7684\u6a21\u5757\u7ec4\u4ef6\uff0c\u901a\u8fc7\u7ec4\u5408\u4e0d\u540c\u7684\u6a21\u5757\u7ec4\u4ef6\uff0c\u7528\u6237\u53ef\u4ee5\u4fbf\u6377\u5730\u6784\u5efa\u81ea\u5b9a\u4e49\u7684\u68c0\u6d4b\u6a21\u578b<\/li><li><strong>\u4e30\u5bcc\u7684\u5373\u63d2\u5373\u7528\u7684\u7b97\u6cd5\u548c\u6a21\u578b<\/strong>MMDetection \u652f\u6301\u4e86\u4f17\u591a\u4e3b\u6d41\u7684\u548c\u6700\u65b0\u7684\u68c0\u6d4b\u7b97\u6cd5\uff0c\u4f8b\u5982 Faster R-CNN\uff0cMask R-CNN\uff0cRetinaNet \u7b49\u3002<\/li><li><strong>\u901f\u5ea6\u5feb<\/strong>\u57fa\u672c\u7684\u6846\u548c mask \u64cd\u4f5c\u90fd\u5b9e\u73b0\u4e86 GPU \u7248\u672c\uff0c\u8bad\u7ec3\u901f\u5ea6\u6bd4\u5176\u4ed6\u4ee3\u7801\u5e93\u66f4\u5feb\u6216\u8005\u76f8\u5f53\uff0c\u5305\u62ec&nbsp;<a href=\"https:\/\/github.com\/facebookresearch\/detectron2\">Detectron2<\/a>,&nbsp;<a href=\"https:\/\/github.com\/facebookresearch\/maskrcnn-benchmark\">maskrcnn-benchmark<\/a>&nbsp;\u548c&nbsp;<a href=\"https:\/\/github.com\/TuSimple\/simpledet\">SimpleDet<\/a>\u3002<\/li><li><strong>\u6027\u80fd\u9ad8<\/strong>MMDetection \u8fd9\u4e2a\u7b97\u6cd5\u5e93\u6e90\u81ea\u4e8e COCO 2018 \u76ee\u6807\u68c0\u6d4b\u7ade\u8d5b\u7684\u51a0\u519b\u56e2\u961f&nbsp;<em>MMDet<\/em>&nbsp;\u56e2\u961f\u5f00\u53d1\u7684\u4ee3\u7801\uff0c\u6211\u4eec\u5728\u4e4b\u540e\u6301\u7eed\u8fdb\u884c\u4e86\u6539\u8fdb\u548c\u63d0\u5347\u3002<\/li><\/ul>\n\n\n\n<p>\u9664\u4e86 MMDetection \u4e4b\u5916\uff0c\u6211\u4eec\u8fd8\u5f00\u6e90\u4e86\u8ba1\u7b97\u673a\u89c6\u89c9\u57fa\u7840\u5e93&nbsp;<a href=\"https:\/\/github.com\/open-mmlab\/mmcv\">MMCV<\/a>\uff0cMMCV \u662f MMDetection \u7684\u4e3b\u8981\u4f9d\u8d56\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/open-mmlab\/mmdetection\">https:\/\/github.com\/open-mmlab\/mmdetection<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/open-mmlab\/mmdetection\/blob\/master\/docs\/zh_cn\/article.md\">https:\/\/github.com\/open-mmlab\/mmdetection\/blob\/master\/docs\/zh_cn\/article.md<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7269\u4f53\u68c0\u6d4b\u548c\u5206\u5272\u5e94\u8be5\u7b97\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u5e38\u7528\u7684\u800c\u4e14\u4e5f\u6bd4\u8f83\u9177\u7684\u4efb\u52a1\u3002\u4f46\u76f8\u6bd4\u56fe\u50cf\u5206\u7c7b\uff0c\u7269\u4f53\u68c0\u6d4b\u548c\u5206\u5272\u4efb\u52a1\u96be\u5ea6\u66f4\u5927\uff0c\u53e6\u5916\u4e00 &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2022\/04\/12\/object_detect\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u76ee\u6807\u68c0\u6d4b\u5e93\u3001\u5e73\u53f0<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/3724"}],"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=3724"}],"version-history":[{"count":5,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/3724\/revisions"}],"predecessor-version":[{"id":3730,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/3724\/revisions\/3730"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=3724"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=3724"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=3724"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}