{"id":6790,"date":"2024-07-20T20:44:10","date_gmt":"2024-07-20T12:44:10","guid":{"rendered":"https:\/\/17aitech.com\/?p=6790"},"modified":"2024-10-08T15:16:01","modified_gmt":"2024-10-08T07:16:01","slug":"%e3%80%90%e8%af%be%e7%a8%8b%e6%80%bb%e7%bb%93%e3%80%91day15%ef%bc%88%e4%b8%8a%ef%bc%89%ef%bc%9a%e5%9b%be%e5%83%8f%e5%88%86%e5%89%b2%e4%b9%8b%e8%af%ad%e4%b9%89%e5%88%86%e5%89%b2","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=6790","title":{"rendered":"\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day15\uff08\u4e0a\uff09\uff1a\u56fe\u50cf\u5206\u5272\u4e4b\u8bed\u4e49\u5206\u5272"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_78 ez-toc-wrap-left-text counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%89%8D%E8%A8%80\" >\u524d\u8a00<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2\" >\u8bed\u4e49\u5206\u5272<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%AE%9A%E4%B9%89\" >\u5b9a\u4e49<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E7%89%B9%E7%82%B9\" >\u7279\u70b9<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%AE%9E%E7%8E%B0%E7%AD%96%E7%95%A5\" >\u5b9e\u73b0\u7b56\u7565<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E7%AE%97%E6%B3%95%E5%8E%9F%E7%90%86\" >\u7b97\u6cd5\u539f\u7406<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/17aitech.com\/?p=6790\/#U-net%E6%A8%A1%E5%9E%8B\" >U-net\u6a21\u578b<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E8%83%8C%E6%99%AF\" >\u80cc\u666f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/17aitech.com\/?p=6790\/#U-Net%E7%BB%93%E6%9E%84%E8%A7%A3%E6%9E%90\" >U-Net\u7ed3\u6784\u89e3\u6790<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E6%94%B6%E7%BC%A9%E8%B7%AF%E5%BE%84Encoder\" >\u6536\u7f29\u8def\u5f84Encoder<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E6%89%A9%E5%B1%95%E8%B7%AF%E5%BE%84Decoder\" >\u6269\u5c55\u8def\u5f84Decoder<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E4%BB%A3%E7%A0%81%E5%AE%9E%E8%B7%B5\" >\u4ee3\u7801\u5b9e\u8df5<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E6%95%B0%E6%8D%AE%E9%9B%86%E4%B8%8B%E8%BD%BD\" >\u6570\u636e\u96c6\u4e0b\u8f7d<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E6%95%B0%E6%8D%AE%E6%89%93%E5%8C%85\" >\u6570\u636e\u6253\u5305<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E7%AD%B9%E5%A4%87%E8%AE%AD%E7%BB%83\" >\u7b79\u5907\u8bad\u7ec3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%AE%9A%E4%B9%89%E6%A8%A1%E5%9E%8B\" >\u5b9a\u4e49\u6a21\u578b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%AE%9A%E4%B9%89%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0\" >\u5b9a\u4e49\u635f\u5931\u51fd\u6570<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%AE%9A%E4%B9%89%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\" >\u5b9a\u4e49\u8bad\u7ec3\u8fc7\u7a0b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%BC%80%E5%B1%95%E8%AE%AD%E7%BB%83\" >\u5f00\u5c55\u8bad\u7ec3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E9%A2%84%E6%B5%8B%E5%B9%B6%E6%98%BE%E7%A4%BA%E7%BB%93%E6%9E%9C\" >\u9884\u6d4b\u5e76\u663e\u793a\u7ed3\u679c<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E8%A1%A5%E5%85%85%E7%9F%A5%E8%AF%86\" >\u8865\u5145\u77e5\u8bc6<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E8%86%A8%E8%83%80%E5%8D%B7%E7%A7%AF_%E5%92%8C_%E7%A9%BA%E6%B4%9E%E5%8D%B7%E7%A7%AF\" >\u81a8\u80c0\u5377\u79ef \u548c \u7a7a\u6d1e\u5377\u79ef<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\" >\u5185\u5bb9\u5c0f\u7ed3<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/17aitech.com\/?p=6790\/#%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99\" >\u53c2\u8003\u8d44\u6599<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"%E5%89%8D%E8%A8%80\"><\/span>\u524d\u8a00<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u4e0a\u4e00\u7ae0\u6211\u4eec\u5df2\u7ecf\u5b66\u4e60\u638c\u63e1\u4e86\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u7684\u4eba\u8138\u68c0\u6d4b<a href=\"https:\/\/17aitech.com\/?p=3999\">\u3010\u8bfe\u7a0b\u603b\u7ed3\u3011Day14\uff1aMTCNN\u8fc7\u7a0b\u7684\u6df1\u5165\u7406\u89e3<\/a>\uff0c\u63a5\u4e0b\u6765\u7684\u6211\u4eec\u5c06\u5b66\u4e60\u4e86\u89e3\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\uff1a\u8bed\u4e49\u5206\u5272\u548c\u56fe\u50cf\u5206\u5272\u3002<\/p>\n<h2><span class=\"ez-toc-section\" id=\"%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2\"><\/span>\u8bed\u4e49\u5206\u5272<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89\"><\/span>\u5b9a\u4e49<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u8bed\u4e49\u5206\u5272\uff0c\u662f\u5c06\u56fe\u50cf\u4e2d\u7684\u6bcf\u4e2a\u50cf\u7d20\u90fd\u5206\u7c7b\u4e3a\u7279\u5b9a\u7684\u8bed\u4e49\u7c7b\u522b,\u5982&quot;\u4eba&quot;\u3001&quot;\u8f66&quot;\u3001&quot;\u5efa\u7b51&quot;\u7b49\u3002<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u8bed\u4e49\u5206\u5272\u56fe\u4f8b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u8bed\u4e49\u5206\u5272\u56fe\u4f8b.png\" alt=\"\" \/><\/a><\/p>\n<blockquote>\n<p>\u8bbf\u95eehttps:\/\/segment-anything.com\/demo#\u4e5f\u53ef\u5728\u7ebf\u4f53\u9a8c\u8bed\u4e49\u5206\u5272\u3002<\/p>\n<\/blockquote>\n<h3><span class=\"ez-toc-section\" id=\"%E7%89%B9%E7%82%B9\"><\/span>\u7279\u70b9<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u8bed\u4e49\u5206\u5272\u662f\u8fdb\u884c <code>class<\/code> \u7ea7\u522b\u5206\u5272<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E5%AE%9E%E7%8E%B0%E7%AD%96%E7%95%A5\"><\/span>\u5b9e\u73b0\u7b56\u7565<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>\u8f93\u5165\uff1a\n<ul>\n<li>\u4e00\u5f20\u56fe\u50cf<\/li>\n<\/ul>\n<\/li>\n<li>\u8fc7\u7a0b\uff1a\n<ul>\n<li>\u628a\u6bcf\u4e2a\u50cf\u7d20\u90fd\u505a\u4e00\u4e2a<code>N+1<\/code>\u5206\u7c7b\u5373\u53ef<\/li>\n<\/ul>\n<\/li>\n<li>\u8f93\u51fa\uff1a\n<ul>\n<li>mask \u56fe\u50cf<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"%E7%AE%97%E6%B3%95%E5%8E%9F%E7%90%86\"><\/span>\u7b97\u6cd5\u539f\u7406<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u7f16\u89e3\u7801\u5668encoder-decoder\u6a21\u578b<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u7f16\u7801\u5668\u89e3\u7801\u5668\u7ed3\u6784.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u7f16\u7801\u5668\u89e3\u7801\u5668\u7ed3\u6784.png\" alt=\"\" \/><\/a><\/p>\n<ul>\n<li>\u7f16\u7801\u5668Encoder\uff1a\n<ul>\n<li>\u628a\u4e00\u4e2a\u5b9e\u4f53 entitiy \u7f16\u7801\u4e3a\u4e00\u4e2a\u62bd\u8c61\u7684\u4e2d\u95f4\u8868\u8fbe(\u5411\u91cfvector)<\/li>\n<li>\u628a\u539f\u59cb\u6570\u636e\u8fdb\u4e00\u6b65\u505a\u6570\u5b57\u5316\u5904\u7406\uff0c\u53d8\u6210\u4e00\u4e2a\u8bed\u4e49\u5316\u7684\u8868\u8fbe<\/li>\n<\/ul>\n<\/li>\n<li>\u89e3\u7801\u5668Decoder\uff1a\n<ul>\n<li>\u6839\u636e\u7f16\u7801\u5668\u5f97\u5230\u7684\u4e2d\u95f4\u8868\u8fbe\uff0c\u89e3\u7801\u51fa\u76f8\u5e94\u7684\u7ed3\u679c<\/li>\n<\/ul>\n<\/li>\n<li>\u4e2d\u95f4\u8868\u8fbeContext vector\uff1a\n<ul>\n<li>\u8fde\u63a5Encoder\u548cDecoder\u6a21\u578b<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<blockquote>\n<p>\u7c7b\u6bd4\u4eba\u8111\u7684\u601d\u8003\u8fc7\u7a0b\uff1a<br \/>\n<strong>Encoder<\/strong>\u7c7b\u4f3c\u4e8e\u4eba\u8111\u7684 <code>\u5f52\u7eb3\u603b\u7ed3<\/code> \u7684\u8fc7\u7a0b\uff0c\u800c<strong>Decoder<\/strong>\u7c7b\u4f3c\u4e8e\u4eba\u8111\u7684 <code>\u6f14\u7ece\u63a8\u7406<\/code> \u8fc7\u7a0b\u3002<\/p>\n<\/blockquote>\n<h3><span class=\"ez-toc-section\" id=\"U-net%E6%A8%A1%E5%9E%8B\"><\/span>U-net\u6a21\u578b<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4><span class=\"ez-toc-section\" id=\"%E8%83%8C%E6%99%AF\"><\/span>\u80cc\u666f<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>U-Net \u662f\u4e00\u79cd\u8bed\u4e49\u5206\u5272\u795e\u7ecf\u7f51\u7edc\u6a21\u578b,\u5b83\u6700\u521d\u7531\u5fb7\u56fd\u7684 Olaf Ronneberger \u7b49\u4eba\u5728 2015 \u5e74\u63d0\u51fa\uff0c\u539f\u672c\u662f\u4e3a\u4e86\u89e3\u51b3\u751f\u7269\u533b\u5b66\u56fe\u50cf\u5206\u5272\u95ee\u9898\u800c\u4ea7\u751f\u7684\u3002\u56e0\u4e3a\u5b83\u7684\u6548\u679c\u5f88\u597d\uff0c\u6240\u4ee5\u540e\u6765\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8bed\u4e49\u5206\u5272\u7684\u5404\u4e2a\u65b9\u5411\uff1a\u6bd4\u5982\u536b\u661f\u56fe\u50cf\u5206\u5272\u7b49\u7b49\u3002<\/p>\n<p>\u7531\u4e8e\u6a21\u578b\u4f7f\u7528\u4e86\u7f16\u7801-\u89e3\u7801&quot;\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u6240\u4ee5\u6211\u4eec\u63a5\u4e0b\u6765\u5bf9\u8be5\u6a21\u578b\u8fdb\u884c\u5b66\u4e60\u4e86\u89e3\u3002<\/p>\n<p>\u8bba\u6587\u5730\u5740\uff1a<a href=\"https:\/\/arxiv.org\/abs\/1505.04597\">https:\/\/arxiv.org\/abs\/1505.04597<\/a><\/p>\n<h4><span class=\"ez-toc-section\" id=\"U-Net%E7%BB%93%E6%9E%84%E8%A7%A3%E6%9E%90\"><\/span>U-Net\u7ed3\u6784\u89e3\u6790<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/Unet.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/Unet.png\" alt=\"\" \/><\/a><\/p>\n<p><strong>\u56fe\u793a\u8bf4\u660e<\/strong>\uff1a<\/p>\n<blockquote>\n<ul>\n<li>\u84dd\/\u767d\u8272\u6846\u8868\u793a feature map\n<ul>\n<li>572 * 572\u662f\u5c3a\u5bf8\u5927\u5c0f<\/li>\n<li>64\u662f\u901a\u9053\u6570<\/li>\n<\/ul>\n<\/li>\n<li>\u84dd\u8272<strong>\u7bad\u5934<\/strong>(conv 3\u00d73)\u8868\u793a 3&#215;3 \u5377\u79ef\uff0c\u7528\u4e8e\u7279\u5f81\u63d0\u53d6\uff1b<\/li>\n<li>\u7070\u8272<strong>\u7bad\u5934<\/strong>(copy and crop\uff1a)\u8868\u793a skip-connection\uff08\u8df3\u8dc3\u8fde\u63a5\uff09\uff0c\u7528\u4e8e\u7279\u5f81\u878d\u5408\uff1b<\/li>\n<li>\u7ea2\u8272<strong>\u7bad\u5934<\/strong>(max pool 2\u00d72)\u8868\u793a\u6700\u5927\u6c60\u5316\uff0c\u7528\u4e8e\u964d\u4f4e\u7ef4\u5ea6\uff1b<\/li>\n<li>\u7eff\u8272<strong>\u7bad\u5934<\/strong>(up-conv 2\u00d72)\u8868\u793a\u4e0a\u91c7\u6837\uff0c\u7528\u4e8e\u6062\u590d\u7ef4\u5ea6\uff1b<\/li>\n<li>\u5929\u84dd\u8272<strong>\u7bad\u5934<\/strong>(conv 1\u00d71)\u8868\u793a 1&#215;1 \u5377\u79ef\uff0c\u7528\u4e8e\u8f93\u51fa\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<\/blockquote>\n<p><strong>\u6a21\u578b\u89e3\u6790<\/strong>\uff1a<\/p>\n<ul>\n<li>\u8be5\u6a21\u578b\u4e3b\u8981\u7531\u4e24\u4e2a\u90e8\u5206\u7ec4\u6210<\/li>\n<li>\u5de6\u8fb9\u662f\u7f16\u7801\u5668\uff08\u6587\u7ae0\u91cc\u79f0\u4f5c\u6536\u7f29\u8def\u5f84\uff0ccontracting path\uff09<\/li>\n<li>\u53f3\u8fb9\u662f\u89e3\u7801\u5668\uff08\u6587\u7ae0\u91cc\u79f0\u4f5c\u81a8\u80c0\u8def\u5f84\uff0cexpansive path\uff09<\/li>\n<li>\u529f\u80fd\uff1a\u8f93\u5165\u4e00\u4e2a<code>\u56fe\u7247<\/code>\uff0c\u5f97\u5230\u8fd9\u4e2a<code>\u56fe\u7247<\/code>\u7684<code>\u8bed\u4e49\u5206\u5272<\/code>\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<h5><span class=\"ez-toc-section\" id=\"%E6%94%B6%E7%BC%A9%E8%B7%AF%E5%BE%84Encoder\"><\/span>\u6536\u7f29\u8def\u5f84Encoder<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u6536\u7f29\u8def\u5f84\u4e3b\u8981\u662f\u7531\u5377\u79ef\u64cd\u4f5c\u548c\u6c60\u5316(\u4e0b\u91c7\u6837)\u64cd\u4f5c\u7ec4\u6210\u3002<\/p>\n<ul>\n<li>\n<p>\u5377\u79ef\u5c42\uff1a<br \/>\n\u5377\u79ef\u7ed3\u6784\u7edf\u4e00\u4e3a 3&#215;3 \u7684\u5377\u79ef\u6838\uff0cpadding \u4e3a 0 \uff0cstriding \u4e3a 1\uff0c\u6240\u4ee5\u7531\u516c\u5f0f$$<br \/>\nn<em>{out} = \\frac{n<\/em>{in} + 2 \\times p &#8211; k}{s} + 1$$\uff0c\u5f97\u5230$$n<em>{out} = n<\/em>{in} &#8211; 2$$\uff0c\u6240\u4ee51~5\u5c42\u5377\u79ef\u662f\u75313\u4e2a3<em>3\u5377\u79ef\u7ec4\u6210\uff0c\u6bcf\u901a\u8fc7\u4e00\u4e2a3<\/em>3\u5377\u79ef\u5c3a\u5bf8\u90fd\u51cf\u5c112\u3002<\/p>\n<\/li>\n<li>\n<p>\u6c60\u5316\u5c42\uff1a<br \/>\n\u6c60\u5316\u5c42\u7684\u6838\u5927\u5c0f\u4e3ak=2\uff0cpadding=0\uff0cstriding=2\uff0c\u6240\u4ee5\u901a\u8fc7\u6c60\u5316\u5c42\u540e\u5c3a\u5bf8\u51cf\u5c11\u4e00\u534a\u3002<\/p>\n<\/li>\n<\/ul>\n<h5><span class=\"ez-toc-section\" id=\"%E6%89%A9%E5%B1%95%E8%B7%AF%E5%BE%84Decoder\"><\/span>\u6269\u5c55\u8def\u5f84Decoder<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u6269\u5c55\u8def\u5f84\u7ecf\u8fc7Decoder\u6062\u590d\u539f\u59cb\u5c3a\u5bf8\uff0c\u8be5\u8fc7\u7a0b\u7531\u5377\u79ef\u3001\u4e0a\u91c7\u6837\u548c\u8df3\u7ea7\u7ed3\u6784\u7ec4\u6210\u3002<\/p>\n<p>\u4e0a\u91c7\u6837\u7684\u65b9\u6cd5\u4e3b\u8981\u662f\uff1a<code>\u63d2\u503c\u6cd5<\/code>\u548c<code>\u53cd\u5377\u79ef<\/code><br \/>\n<strong>\u63d2\u503c\u6cd5<\/strong>\uff1a<br \/>\n\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a 2\u00d72 \u7684\u8f93\u5165\u56fe\u50cf\uff0c\u6211\u4eec\u5e0c\u671b\u5c06\u5176\u4e0a\u91c7\u6837\u4e3a 4\u00d74\u3002<\/p>\n<pre><code class=\"language-python\"># \u8f93\u5165\u56fe\u50cf\uff1a\n[[1, 2],\n [3, 4]]\n\n# \u65b9\u6cd5\uff1a\u6bcf\u4e2a\u50cf\u7d20\u590d\u5236\u5230\u5176\u76f8\u90bb\u7684\u56db\u4e2a\u4f4d\u7f6e\n\n# \u8f93\u51fa\u56fe\u50cf\uff08\u6700\u8fd1\u90bb\u63d2\u503c\uff09\uff1a\n[[1, 1, 2, 2],\n [1, 1, 2, 2],\n [3, 3, 4, 4],\n [3, 3, 4, 4]]<\/code><\/pre>\n<p><strong>\u53cd\u5377\u79ef<\/strong>\uff1a<br \/>\n\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a 2\u00d72 \u7684\u8f93\u5165\u56fe\u50cf\uff0c\u6211\u4eec\u5e0c\u671b\u5c06\u5176\u4e0a\u91c7\u6837\u4e3a 4\u00d74\u3002<\/p>\n<pre><code class=\"language-python\"># \u8f93\u5165\u56fe\u50cf\uff1a\n[[1, 2],\n [3, 4]]\n\n# \u53cd\u5377\u79ef\u6838\uff1a\n[[1, 1],\n [1, 1]]\n\n# \u65b9\u6cd5\uff1a\n# 1.\u5c06\u5377\u79ef\u6838\u653e\u5728\u8f93\u5165\u7279\u5f81\u56fe\u7684\u6bcf\u4e2a\u50cf\u7d20\u4e0a\u3002\n# 2.\u5c06\u5377\u79ef\u6838\u7684\u6bcf\u4e2a\u503c\u4e0e\u5bf9\u5e94\u7684\u8f93\u5165\u50cf\u7d20\u76f8\u4e58\u5e76\u7d2f\u52a0\u5230\u8f93\u51fa\u56fe\u50cf\u7684\u76f8\u5e94\u4f4d\u7f6e\u3002\n\n# \u5904\u7406\u8f93\u5165\u56fe\u50cf(0,0)=1\u65f6\uff1a\n[[1, 1, 0, 0],\n [1, 1, 0, 0],\n [0, 0, 0, 0],\n [0, 0, 0, 0]]\n\n# \u5904\u7406\u8f93\u5165\u56fe\u50cf(0,1)=2\u65f6\uff1a\n[[1, 3, 2, 0],\n [1, 3, 2, 0],\n [0, 0, 0, 0],\n [0, 0, 0, 0]]\n\n# \u5904\u7406\u8f93\u5165\u56fe\u50cf(1,0)=3\u65f6\uff1a\n[[1, 3, 2, 0],\n [4, 6, 2, 0],\n [3, 3, 0, 0],\n [0, 0, 0, 0]]\n\n# \u8f93\u51fa\u7279\u5f81\u56fe\uff08\u53cd\u5377\u79ef\uff09\uff1a\n[[1, 3, 2, 0],\n [4, 10, 6, 0],\n [3, 7, 4, 0],\n [0, 0, 0, 0]]<\/code><\/pre>\n<h4><span class=\"ez-toc-section\" id=\"%E4%BB%A3%E7%A0%81%E5%AE%9E%E8%B7%B5\"><\/span>\u4ee3\u7801\u5b9e\u8df5<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<h5><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E9%9B%86%E4%B8%8B%E8%BD%BD\"><\/span>\u6570\u636e\u96c6\u4e0b\u8f7d<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u4e0b\u8f7d\u94fe\u63a5\uff1a<a href=\"https:\/\/pan.baidu.com\/s\/1ZY2Q-9CBfe2ZpT90RgmPXw?pwd=pkwe\">https:\/\/pan.baidu.com\/s\/1ZY2Q-9CBfe2ZpT90RgmPXw?pwd=pkwe<\/a><\/p>\n<h5><span class=\"ez-toc-section\" id=\"%E6%95%B0%E6%8D%AE%E6%89%93%E5%8C%85\"><\/span>\u6570\u636e\u6253\u5305<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">import numpy as np\nimport torch\nfrom torch import optim\nfrom torchvision.transforms import transforms\nfrom torch import nn\nimport torch.utils.data as data\nfrom torch.utils.data import DataLoader\nimport PIL.Image as Image\nimport os\nfrom matplotlib import pyplot as plt\nimport os\nos.environ[&quot;KMP_DUPLICATE_LIB_OK&quot;] = &quot;TRUE&quot;\ndevice = torch.device(&#039;cuda:0&#039; if torch.cuda.is_available() else &#039;cpu&#039;)\n\n# \u8bfb\u53d6\u6570\u636e\u7684\u8def\u5f84\ndef make_dataset(root):\n    imgs = []\n    # \u8ba1\u7b97\u5171\u6709\u591a\u5c11\u5f20\u539f\u59cb\u56fe\u7247\n    n = len(os.listdir(root))\/\/2\n    for i in range(n):\n        # \u627e\u523000i.png\u7684\u8def\u5f84\n        img = os.path.join(root, &#039;%03d.png&#039;%i)\n        # \u627e\u523000i_mask.png\u7684\u8def\u5f84\n        mask = os.path.join(root, &#039;%03d_mask.png&#039;%i)\n        # \u6dfb\u52a0\u81f3\u5217\u8868\n        imgs.append((img, mask))\n    return imgs\n\nclass LiverDataset(data.Dataset):\n\n    def __init__(self, root, transform=None, target_transform=None):\n        imgs = make_dataset(root)\n        self.imgs = imgs\n        self.transform = transform\n        self.target_transform = target_transform\n\n    def __getitem__(self, index):\n        x_path, y_path = self.imgs[index]\n        img_x = Image.open(x_path)\n        img_y = Image.open(y_path)\n        if self.transform is not None:\n            img_x = self.transform(img_x)\n        if self.target_transform is not None:\n            img_y = self.target_transform(img_y)\n        return img_x, img_y\n\n    def __len__(self):\n        return len(self.imgs)<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"%E7%AD%B9%E5%A4%87%E8%AE%AD%E7%BB%83\"><\/span>\u7b79\u5907\u8bad\u7ec3<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\"># \u6570\u636e\u9884\u5904\u7406\nx_transforms = transforms.Compose([\n    transforms.ToTensor(),                                  # \u8f6c\u4e3aTensor\n    transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])  # \u6807\u51c6\u5316\n])\n\n# mask\u53ea\u9700\u8f6c\u4e3aTensor\ny_transforms = transforms.ToTensor()\n\n# \u6570\u636e\u52a0\u8f7d\nbatch_size = 4\nliver_dataset = LiverDataset(&#039;data\/liver\/train&#039;, transform=x_transforms, target_transform=y_transforms)\ndataloaders = DataLoader(liver_dataset, batch_size=batch_size, shuffle=True)<\/code><\/pre>\n<blockquote>\n<p>transform.Compose()\uff1a\u5c06\u591a\u4e2atransforms\u7ec4\u5408\u8d77\u6765<br \/>\ntransform.ToTensor()\uff1a\u5c06PIL Image\u6216\u8005numpy.ndarray\u8f6c\u4e3atorch.FloatTensor<br \/>\ntransform.Normalize()\uff1a\u5c06\u5f20\u91cf\u5f52\u4e00\u5316<\/p>\n<\/blockquote>\n<h5><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E6%A8%A1%E5%9E%8B\"><\/span>\u5b9a\u4e49\u6a21\u578b<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\"># U_Net\u6a21\u578b\u4e2d\u7684\u53cc\u5377\u79ef\u7f51\u7edc\u7ed3\u6784\nclass DoubleConv(nn.Module):\n    def __init__(self, in_ch, out_ch):\n        super(DoubleConv, self).__init__()\n        self.conv = nn.Sequential(\n            # \u6b64\u5904\u5305\u542bpadding\uff0c\u4e3a\u4e86\u4f7f\u8f93\u51fa\u56fe\u50cf\u4e0e\u8f93\u5165\u56fe\u50cf\u5927\u5c0f\u76f8\u540c\n            nn.Conv2d(in_ch, out_ch, kernel_size=3, padding=1), \n            nn.BatchNorm2d(out_ch), \n            nn.ReLU(inplace=True), \n\n            nn.Conv2d(out_ch, out_ch, kernel_size=3, padding=1), \n            nn.BatchNorm2d(out_ch), \n            nn.ReLU(inplace=True)\n        )\n\n    def forward(self, input):\n        return self.conv(input)\n\nclass Unet(nn.Module):\n    def __init__(self, in_ch, out_ch):\n        super(Unet, self).__init__()\n\n        # \u7f16\u7801\u5668\u90e8\u5206\n        # \u7279\u5f81\u56fe\u5927\u5c0f\u4e0d\u53d8\n        self.conv1 = DoubleConv(in_ch, 64)\n        # \u7279\u5f81\u56fe\u5927\u5c0f\u957f\u5bbd\u51cf\u534a\n        self.pool1 = nn.MaxPool2d(kernel_size=2, stride=2, padding=0)\n\n        self.conv2 = DoubleConv(64, 128)\n        self.pool2 = nn.MaxPool2d(2)\n\n        self.conv3 = DoubleConv(128, 256)\n        self.pool3 = nn.MaxPool2d(2)\n\n        self.conv4 = DoubleConv(256, 512)\n        self.pool4 = nn.MaxPool2d(2)\n\n        # \u74f6\u9888\u5c42\n        self.conv5 = DoubleConv(512, 1024)\n\n        # \u89e3\u7801\u5668\u90e8\u5206\n        self.up6 = nn.ConvTranspose2d(1024, 512, kernel_size=2, stride=2)\n        self.conv6 = DoubleConv(1024, 512)\n\n        self.up7 = nn.ConvTranspose2d(512, 256, kernel_size=2, stride=2)\n        self.conv7 = DoubleConv(512, 256)\n\n        self.up8 = nn.ConvTranspose2d(256, 128, kernel_size=2, stride=2)\n        self.conv8 = DoubleConv(256, 128)\n\n        self.up9 = nn.ConvTranspose2d(128, 64, kernel_size=2, stride=2)\n        self.conv9 = DoubleConv(128, 64)\n\n        self.conv10 = nn.Conv2d(64, out_ch, kernel_size=1)\n\n    def forward(self, x):\n        c1 = self.conv1(x)\n        p1 = self.pool1(c1)\n\n        c2 = self.conv2(p1)\n        p2 = self.pool2(c2)\n\n        c3 = self.conv3(p2)\n        p3 = self.pool3(c3)\n\n        c4 = self.conv4(p3)\n        p4 = self.pool4(c4)\n\n        c5 = self.conv5(p4)        \n        up_6 = self.up6(c5)\n\n        # \u901a\u9053\u7ef4\u62fc\u63a5 [N, C, H, W]\n        merge6 = torch.cat([up_6, c4], dim=1)\n        c6 = self.conv6(merge6)\n\n        up_7 = self.up7(c6)\n        merge7 = torch.cat([up_7, c3], dim=1)\n        c7 = self.conv7(merge7)\n\n        up_8 = self.up8(c7)\n        merge8 = torch.cat([up_8, c2], dim=1)\n        c8 = self.conv8(merge8)\n\n        up_9 = self.up9(c8)\n        merge9 = torch.cat([up_9, c1], dim=1)\n        c9 = self.conv9(merge9)\n\n        c10 = self.conv10(c9)\n        out = torch.sigmoid(c10)\n        return out<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0\"><\/span>\u5b9a\u4e49\u635f\u5931\u51fd\u6570<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\"># \u8f93\u5165\u56fe\u50cf\u67093\u4e2a\u901a\u9053\uff0c\u6807\u7b7e\u56fe\u50cf\u67091\u4e2a\u901a\u9053\nnet = Unet(3, 1).to(device)\n# \u7c7b\u4f3c\u903b\u8f91\u56de\u5f52\uff0c\u7528\u4e00\u4e2a\u8f93\u51fa\u6765\u5b9e\u73b02\u5206\u7c7b\nloss = torch.nn.BCELoss()\noptimizer = optim.Adam(net.parameters())<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"%E5%AE%9A%E4%B9%89%E8%AE%AD%E7%BB%83%E8%BF%87%E7%A8%8B\"><\/span>\u5b9a\u4e49\u8bad\u7ec3\u8fc7\u7a0b<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">\ndef train_model(model, loss, optimizer, dataloaders, num_epochs=20):\n    for epoch in range(num_epochs):\n        print(&#039;Epoch {}\/{}&#039;.format(epoch, num_epochs-1))\n        print(&#039;-&#039;*10)\n        dt_size = len(dataloaders.dataset)\n        epoch_loss = 0\n        step = 0\n        for x, y in dataloaders:\n            step += 1\n            inputs = x.to(device)\n            labels = y.to(device)\n            optimizer.zero_grad()\n            outputs = model(inputs)\n            l = loss(outputs, labels)\n            l.backward()\n            optimizer.step()\n            epoch_loss += l.item()\n            if step % 200 == 0:\n                print(&#039;%d\/%d, train_loss:%0.3f&#039; % (step, (dt_size-1)\/\/dataloaders.batch_size+1, l.item()))\n        print(&#039;epoch %d loss:%0.3f&#039; % (epoch, epoch_loss))\n    return model<\/code><\/pre>\n<h5><span class=\"ez-toc-section\" id=\"%E5%BC%80%E5%B1%95%E8%AE%AD%E7%BB%83\"><\/span>\u5f00\u5c55\u8bad\u7ec3<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">model = train_model(net, loss, optimizer, dataloaders)<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/Unet\u8bad\u7ec3\u8fc7\u7a0b.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/Unet\u8bad\u7ec3\u8fc7\u7a0b.png\" alt=\"\" \/><\/a><\/p>\n<h5><span class=\"ez-toc-section\" id=\"%E9%A2%84%E6%B5%8B%E5%B9%B6%E6%98%BE%E7%A4%BA%E7%BB%93%E6%9E%9C\"><\/span>\u9884\u6d4b\u5e76\u663e\u793a\u7ed3\u679c<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<pre><code class=\"language-python\">liver_val = LiverDataset(&#039;data\/liver\/val&#039;, transform=x_transforms, target_transform=y_transforms)\nliver_val = DataLoader(liver_val, batch_size=1)\nmodel.eval()\nwith torch.no_grad():\n    for i, data in enumerate(liver_val):  # \u4fee\u6b63\u8fd9\u91cc\n        # \u5de6\u8fb9\u771f\u5b9e\uff0c\u53f3\u8fb9\u9884\u6d4b\n        x, z = data\n        x = x.to(device)  # \u786e\u4fdd\u6570\u636e\u5728\u6b63\u786e\u7684\u8bbe\u5907\u4e0a\n        y = model(x)  # \u76f4\u63a5\u4f7f\u7528 x\n\n        img_y = torch.squeeze(y.cpu()).numpy()\n        z = torch.squeeze(z).numpy()\n\n        plt.subplot(1, 2, 1)\n        plt.imshow(z, cmap=&#039;gray&#039;)  # \u5982\u679c\u662f\u7070\u5ea6\u56fe\uff0c\u52a0\u4e0a cmap=&#039;gray&#039;\n        plt.axis(&#039;off&#039;)  # \u5173\u95ed\u5750\u6807\u8f74\n\n        plt.subplot(1, 2, 2)\n        plt.imshow(img_y, cmap=&#039;gray&#039;)  # \u5982\u679c\u662f\u7070\u5ea6\u56fe\uff0c\u52a0\u4e0a cmap=&#039;gray&#039;\n        plt.axis(&#039;off&#039;)  # \u5173\u95ed\u5750\u6807\u8f74\n\n        plt.pause(0.01)\n\n        # \u786e\u4fdd img_y \u5728 0-255 \u8303\u56f4\u5185\n        img_y = (img_y * 255).astype(&#039;uint8&#039;)\n        filename = &#039;data\/liver\/predict\/&#039; + &#039;new_%d.png&#039; % i\n        Image.fromarray(img_y).convert(&#039;L&#039;).save(filename)<\/code><\/pre>\n<p>\u8fd0\u884c\u7ed3\u679c\uff1a<br \/>\n<a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/Unet\u9884\u6d4b\u7ed3\u679c.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/Unet\u9884\u6d4b\u7ed3\u679c.png\" alt=\"\" \/><\/a><\/p>\n<p>\u5bf9\u6bd4\u9a8c\u8bc1\u96c6\u76ee\u5f55<code>val<\/code>\u76ee\u5f55\u548c<code>predict<\/code>\u9884\u6d4b\u7ed3\u679c\u76ee\u5f55\u4e0b\u7684\u56fe\u7247\uff0c\u53ef\u4ee5\u53d1\u73b0\u9884\u6d4b\u7ed3\u679c\u4e0e\u771f\u5b9e\u7ed3\u679c\u57fa\u672c\u4e00\u81f4\u3002<\/p>\n<h4><span class=\"ez-toc-section\" id=\"%E8%A1%A5%E5%85%85%E7%9F%A5%E8%AF%86\"><\/span>\u8865\u5145\u77e5\u8bc6<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<h5><span class=\"ez-toc-section\" id=\"%E8%86%A8%E8%83%80%E5%8D%B7%E7%A7%AF_%E5%92%8C_%E7%A9%BA%E6%B4%9E%E5%8D%B7%E7%A7%AF\"><\/span><strong>\u81a8\u80c0\u5377\u79ef<\/strong> \u548c <strong>\u7a7a\u6d1e\u5377\u79ef<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p><strong>\u5b9a\u4e49<\/strong>\uff1a<br \/>\n<strong>\u81a8\u80c0\u5377\u79ef<\/strong>\uff08Dilated Convolution\uff09\u548c<strong>\u7a7a\u6d1e\u5377\u79ef<\/strong>\uff08Atrous Convolution\uff09\u662f\u540c\u4e00\u4e2a\u6982\u5ff5\u7684\u4e0d\u540c\u79f0\u547c\u3002\u5b83\u4eec\u7684\u4e3b\u8981\u76ee\u7684\u662f\u5728\u4e0d\u589e\u52a0\u53c2\u6570\u6570\u91cf\u7684\u60c5\u51b5\u4e0b\u6269\u5927\u5377\u79ef\u6838\u7684\u611f\u53d7\u91ce\uff0c\u4ece\u800c\u6355\u6349\u66f4\u5927\u8303\u56f4\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u3002\u901a\u8fc7\u5728\u5377\u79ef\u6838\u4e2d\u63d2\u5165\u201c\u7a7a\u6d1e\u201d\uff0c\u53ef\u4ee5\u5728\u4fdd\u6301\u7279\u5f81\u56fe\u5c3a\u5bf8\u7684\u540c\u65f6\u589e\u52a0\u611f\u53d7\u91ce\u3002<\/p>\n<p><strong>\u63d0\u51fa\u80cc\u666f<\/strong><br \/>\n\u5728\u4e00\u4e9b\u4efb\u52a1\u4e2d\uff0c\u5c24\u5176\u662f\u8bed\u4e49\u5206\u5272\uff0c\u9700\u8981\u540c\u65f6\u63d0\u53d6\u591a\u5c3a\u5ea6\u7684\u7279\u5f81\u3002\u4f20\u7edf\u7684\u5377\u79ef\u5c42\u5728\u5904\u7406\u4e0d\u540c\u5c3a\u5ea6\u7684\u7279\u5f81\u65f6\u53ef\u80fd\u4f1a\u53d7\u5230\u9650\u5236\uff0c\u800c\u7a7a\u6d1e\u5377\u79ef\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u7a7a\u6d1e\u7387\u7075\u6d3b\u5730\u63d0\u53d6\u4e0d\u540c\u5c3a\u5ea6\u7684\u4fe1\u606f\u3002<\/p>\n<p><strong>\u4e3b\u8981\u4f5c\u7528<\/strong>\uff1a<\/p>\n<ul>\n<li>\u611f\u53d7\u91ce\uff1a\u901a\u8fc7\u589e\u52a0\u7a7a\u6d1e\u7387\uff08dilation rate\uff09\uff0c\u53ef\u4ee5\u6269\u5927\u611f\u53d7\u91ce\uff0c\u4f7f\u6a21\u578b\u80fd\u591f\u83b7\u53d6\u66f4\u5927\u8303\u56f4\u7684\u4fe1\u606f\u3002<\/li>\n<li>\u8ba1\u7b97\u6548\u7387\uff1a\u4e0e\u589e\u52a0\u5377\u79ef\u6838\u5927\u5c0f\u76f8\u6bd4\uff0c\u81a8\u80c0\u5377\u79ef\u5728\u8ba1\u7b97\u4e0a\u66f4\u9ad8\u6548\uff0c\u56e0\u4e3a\u5b83\u4e0d\u9700\u8981\u589e\u52a0\u53c2\u6570\u6570\u91cf\u3002<\/li>\n<li>\u4fdd\u6301\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8\uff1a\u81a8\u80c0\u5377\u79ef\u53ef\u4ee5\u5728\u4e0d\u6539\u53d8\u8f93\u5165\u7279\u5f81\u56fe\u7684\u5c3a\u5bf8\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u3002<\/li>\n<\/ul>\n<p><strong>\u793a\u4f8b\u4ee3\u7801<\/strong>\uff1a<\/p>\n<pre><code class=\"language-python\">import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\n# \u5b9a\u4e49\u4e00\u4e2a\u7b80\u5355\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff0c\u5305\u542b\u81a8\u80c0\u5377\u79ef\nclass DilatedConvNet(nn.Module):\n    def __init__(self):\n        super(DilatedConvNet, self).__init__()\n        # \u4f7f\u7528\u81a8\u80c0\u5377\u79ef\uff0cdilation=2\n        self.dilated_conv = nn.Conv2d(in_channels=1, out_channels=1, kernel_size=3, padding=2, dilation=2)\n\n    def forward(self, x):\n        return self.dilated_conv(x)\n\n# \u521b\u5efa\u6a21\u578b\u548c\u8f93\u5165\u6570\u636e\nmodel = DilatedConvNet()\ninput_data = torch.randn(1, 1, 5, 5)  # Batch size = 1, Channels = 1, Height = 5, Width = 5\n\n# \u524d\u5411\u4f20\u64ad\noutput = model(input_data)\n\nprint(&quot;Input shape:&quot;, input_data.shape)\nprint(&quot;Output shape:&quot;, output.shape)\n<\/code><\/pre>\n<blockquote>\n<p><code>nn.Conv2d<\/code> \u7684 <code>dilation<\/code> \u53c2\u6570\u8bbe\u7f6e\u4e3a 2\uff0c\u8fd9\u610f\u5473\u7740\u5377\u79ef\u6838\u7684\u7a7a\u6d1e\u7387\u4e3a 2\u3002\u5377\u79ef\u6838\u5728\u8ba1\u7b97\u65f6\u4f1a\u5728\u6bcf\u4e2a\u5143\u7d20\u4e4b\u95f4\u63d2\u5165\u4e00\u4e2a\u7a7a\u6d1e\u3002<\/p>\n<\/blockquote>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u666e\u901a\u5377\u79ef.gif\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u666e\u901a\u5377\u79ef.gif\" alt=\"\" \/><\/a><br \/>\nkernel_size=3, stride=1, padding=0<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u81a8\u80c0\u5377\u79ef.gif\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/\u81a8\u80c0\u5377\u79ef.gif\" alt=\"\" \/><\/a><br \/>\nkernel_size=3, stride=1, padding=2, dilation=2<\/p>\n<blockquote>\n<ul>\n<li>\u4e8c\u8005\u7684\u5377\u79ef\u6838\u5927\u5c0f\u90fd\u662f\u4e00\u6837\u7684\uff08\u6ed1\u7a97\u7684\u5b9e\u9645\u5927\u5c0f\u662f\u4e00\u6837\u7684\uff09\uff0c\u4f46\u7a7a\u6d1e\u5377\u79ef\u7684\u6ed1\u7a97\uff08kernel\uff09\u5143\u7d20\u4e4b\u95f4\u662f\u5b58\u5728\u4e00\u4e9b\u95f4\u9699\u7684\uff0c\u8fd9\u4e9b\u95f4\u9699\u5728\u7a7a\u6d1e\u5377\u79ef\u4e2d\u6210\u4e3a\u81a8\u80c0\u56e0\u5b50(dilated ratio)\u3002<\/li>\n<li>\u5982\u679c dilated ratio=1 \u65f6\uff0c\u7a7a\u6d1e\u5377\u79ef\u5c31\u662f\u666e\u901a\u5377\u79ef\u3002<\/li>\n<\/ul>\n<\/blockquote>\n<h2><span class=\"ez-toc-section\" id=\"%E5%86%85%E5%AE%B9%E5%B0%8F%E7%BB%93\"><\/span>\u5185\u5bb9\u5c0f\u7ed3<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>\u8bed\u4e49\u5206\u5272\uff0c\u662f\u5c06\u56fe\u50cf\u4e2d\u7684\u6bcf\u4e2a\u50cf\u7d20\u90fd\u5206\u7c7b\u4e3a\u7279\u5b9a\u7684\u8bed\u4e49\u7c7b\u522b<\/li>\n<li>U-Net \u662f\u4e00\u79cd\u8bed\u4e49\u5206\u5272\u795e\u7ecf\u7f51\u7edc\u6a21\u578b<\/li>\n<li>U-Net \u7531\u4e24\u4e2a\u90e8\u5206\u7ec4\u6210\uff1a\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668<\/li>\n<li>\u7f16\u7801\u5668(\u6536\u7f29\u8def\u5f84)\u4e3b\u8981\u662f\u7531\u5377\u79ef\u64cd\u4f5c\u548c\u6c60\u5316(\u4e0b\u91c7\u6837)\u64cd\u4f5c\u7ec4\u6210\u3002<\/li>\n<li>\u89e3\u7801\u5668(\u6269\u5f20\u8def\u5f84)\u4e3b\u8981\u662f\u7531\u5377\u79ef\u64cd\u4f5c\u548c\u53cd\u5377\u79ef\u64cd\u4f5c\u7ec4\u6210\u3002<\/li>\n<li>\u5728\u8bed\u4e49\u5206\u5272\u65f6\uff0c\u6709\u65f6\u9700\u8981\u540c\u65f6\u63d0\u53d6\u591a\u5c3a\u5ea6\u7684\u7279\u5f81\uff0c\u800c\u7a7a\u6d1e\u5377\u79ef\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u7a7a\u6d1e\u7387\u7075\u6d3b\u5730\u63d0\u53d6\u4e0d\u540c\u5c3a\u5ea6\u7684\u4fe1\u606f\u3002<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99\"><\/span>\u53c2\u8003\u8d44\u6599<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/blog.csdn.net\/qq_39297053\/article\/details\/136544028\">CSDN\uff1a\u7f16\u7801\u5668-\u89e3\u7801\u5668\u6a21\u578b\uff08Encoder-Decoder)<\/a><\/p>\n<p><a href=\"https:\/\/blog.csdn.net\/qq_43449643\/article\/details\/137069077\">CSDN\uff1a\u8be6\u89e3U-Net\u5206\u5272\u7f51\u7edc<\/a><\/p>\n<p><a href=\"https:\/\/blog.csdn.net\/weixin_44878336\/article\/details\/124746929\">CSDN\uff1a\u7a7a\u6d1e\u5377\u79ef\uff08\u81a8\u80c0\u5377\u79ef\uff09\u7684\u76f8\u5173\u77e5\u8bc6\u4ee5\u53ca\u4f7f\u7528\u5efa\u8bae<\/a><\/p>\n<p align=\"center\">\u6b22\u8fce\u5173\u6ce8\u516c\u4f17\u53f7\u4ee5\u83b7\u5f97\u6700\u65b0\u7684\u6587\u7ae0\u548c\u65b0\u95fb<\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/09\/\u626b\u7801_\u641c\u7d22\u8054\u5408\u4f20\u64ad\u6837\u5f0f-\u767d\u8272\u7248.bmp\" alt=\"\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u524d\u8a00 \u4e0a\u4e00\u7ae0\u6211\u4eec\u5df2\u7ecf\u5b66\u4e60\u638c\u63e1\u4e86\u8ba1\u7b97\u673a\u89c6\u89c9 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":6803,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"aside","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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