{"id":4668,"date":"2025-02-20T07:32:24","date_gmt":"2025-02-19T23:32:24","guid":{"rendered":"https:\/\/infernews.com\/?page_id=4668"},"modified":"2025-02-21T00:05:52","modified_gmt":"2025-02-20T16:05:52","slug":"unet","status":"publish","type":"page","link":"https:\/\/infernews.com\/blog\/unet\/","title":{"rendered":"Unet \u5377\u7a4d\u795e\u7d93\u7db2\u8def\u67b6\u69cb\u8207 DIT"},"content":{"rendered":"\n<p><strong>\u4ec0\u9ebc\u662f UNet\uff1f<\/strong><\/p>\n\n\n\n<p>UNet (U-shaped architecture) \u662f\u4e00\u7a2e\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u5ee3\u6cdb\u7528\u65bc<strong>\u5716\u50cf\u5206\u5272<\/strong>\u3002\u53ef\u4ee5\u628a\u5716\u50cf\u5206\u5272\u60f3\u50cf\u6210\u5c07\u5716\u50cf\u5283\u5206\u6210\u4e0d\u540c\u7684\u5340\u57df\u6216\u5340\u584a\uff0c\u7136\u5f8c\u5c0d\u6bcf\u500b\u5340\u584a\u9032\u884c\u5206\u985e\uff08\u4f8b\u5982\uff0c\u5728\u7167\u7247\u4e2d\u8b58\u5225\u5c6c\u65bc\u6c7d\u8eca\u3001\u6a39\u6728\u6216\u5929\u7a7a\u7684\u50cf\u7d20\uff09\u3002<\/p>\n\n\n\n<p>\u4e00\u822c\u4eba\u8a8d\u70ba\uff0c\u6df1\u5ea6\u7db2\uf937\u7684\u6210\u529f\u8a13\u7df4\u9700\u8981\u6578\u5343\u500b\u8a3b\u91cb\u7684\u8a13\u7df4\u6a23\u672c\u3002U-Net \u7684\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u6700\u521d\u70ba\u751f\u7269\u91ab\u5b78\u5f71\u50cf\u5206\u5272\u8a2d\u8a08\u3002U-Net \u7684\u6838\u5fc3\u6982\u5ff5\u662f\u5229\u7528\u8cc7\u6599\u589e\u5f37\u6280\u8853\uff0c\u5373\u4f7f\u5728\u53ea\u6709\u5c11\u91cf\u5e36\u6a19\u8a18\u7684\u8a13\u7df4\u6a23\u672c\u7684\u60c5\u6cc1\u4e0b\uff0c\u4e5f\u80fd\u6709\u6548\u5730\u8a13\u7df4\u6df1\u5ea6\u7db2\u8def\u3002\u5176\u67b6\u69cb\u7684\u7368\u7279\u4e4b\u8655\u5728\u65bc\u5b83\u5305\u542b\u4e00\u500b\u6536\u7e2e\u8def\u5f91 (contracting path)&nbsp;\u4ee5\u6355\u6349\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u4ee5\u53ca\u4e00\u500b\u64f4\u5f35\u8def\u5f91 (expanding path)&nbsp;\u4ee5\u5be6\u73fe\u7cbe\u78ba\u7684\u5b9a\u4f4d\u3002\u6700\u7d42\uff0cU-Net \u5728\u591a\u9805\u751f\u7269\u91ab\u5b78\u5f71\u50cf\u5206\u5272\u6311\u6230\u8cfd\u4e2d\u8868\u73fe\u51fa\u8272\uff0c\u8b49\u660e\u4e86\u5b83\u5728\u8655\u7406\u5c11\u91cf\u8a13\u7df4\u6578\u64da\u548c\u5feb\u901f\u7cbe\u78ba\u5206\u5272\u5f71\u50cf\u65b9\u9762\u7684\u512a\u52e2\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f UNet \u7684\u7279\u5225\u4e4b\u8655\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>U \u578b\u67b6\u69cb\uff08\u56e0\u6b64\u7a31\u70ba &#8220;UNet&#8221;\uff09\uff1a<\/strong> \u9019\u500b\u67b6\u69cb\u5728\u8996\u89ba\u4e0a\u50cf\u5b57\u6bcd &#8220;U&#8221;\u3002\u5b83\u4e3b\u8981\u6709\u5169\u500b\u90e8\u5206\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>\u7de8\u78bc\u5668\uff08\u6536\u7e2e\u8def\u5f91\uff09\uff1a<\/strong> &#8220;U&#8221; \u5b57\u7684\u5de6\u5074\u662f\u7de8\u78bc\u5668\u3002\u5b83\u9010\u6b65\u5c0d\u8f38\u5165\u5716\u50cf\u9032\u884c\u964d\u63a1\u6a23\uff0c\u6355\u6349\u4e0d\u540c\u5c3a\u5ea6\u7684\u4e0a\u4e0b\u6587\u8cc7\u8a0a\u3002\u9019\u985e\u4f3c\u65bc\u81ea\u7de8\u78bc\u5668\u7684\u7de8\u78bc\u90e8\u5206\u3002<\/li>\n\n\n\n<li><strong>\u89e3\u78bc\u5668\uff08\u64f4\u5f35\u8def\u5f91\uff09\uff1a<\/strong> &#8220;U&#8221; \u5b57\u7684\u53f3\u5074\u662f\u89e3\u78bc\u5668\u3002\u5b83\u9010\u6b65\u5c0d\u4f86\u81ea\u7de8\u78bc\u5668\u7684\u7279\u5fb5\u5716\u9032\u884c\u5347\u63a1\u6a23\uff0c\u65e8\u5728\u6062\u5fa9\u7a7a\u9593\u89e3\u6790\u5ea6\uff0c\u4e26\u751f\u6210\u8207\u8f38\u5165\u5716\u50cf\u5927\u5c0f\u76f8\u540c\u7684\u5206\u5272\u5716\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u8df3\u8e8d\u9023\u63a5\uff1a<\/strong> UNet \u7684\u4e00\u500b\u95dc\u9375\u7279\u5fb5\u662f\u8df3\u8e8d\u9023\u63a5\uff08\u6216\u5feb\u6377\u9023\u63a5\uff09\uff0c\u5b83\u76f4\u63a5\u9023\u63a5\u7de8\u78bc\u5668\u4e2d\u7684\u5c64\u8207\u89e3\u78bc\u5668\u4e2d\u5c0d\u61c9\u7684\u5c64\u3002\u9019\u4e9b\u9023\u63a5\u5c07\u4f86\u81ea\u7de8\u78bc\u5668\u7684\u9ad8\u89e3\u6790\u5ea6\u7279\u5fb5\u5716\u50b3\u905e\u5230\u89e3\u78bc\u5668\uff0c\u6709\u52a9\u65bc\u6062\u5fa9\u5728\u964d\u63a1\u6a23\u904e\u7a0b\u4e2d\u53ef\u80fd\u4e1f\u5931\u7684\u7d30\u7bc0\u8cc7\u8a0a\u3002\u9019\u5c0d\u65bc\u7cbe\u78ba\u5206\u5272\u81f3\u95dc\u91cd\u8981\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>UNet \u7684\u4e3b\u8981\u61c9\u7528\uff1a<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u91ab\u5b78\u5716\u50cf\u5206\u5272\uff1a<\/strong> UNet \u5728\u91ab\u5b78\u5f71\u50cf\u9818\u57df\u7279\u5225\u53d7\u6b61\u8fce\uff0c\u7528\u65bc\u5206\u5272\u6383\u63cf\u5716\u50cf\uff08\u5982 MRI\u3001CT \u548c\u986f\u5fae\u93e1\u5716\u50cf\uff09\u4e2d\u7684\u5668\u5b98\u3001\u816b\u7624\u548c\u75c5\u7076\u7b49\u4efb\u52d9\u3002<\/li>\n\n\n\n<li><strong>\u885b\u661f\u5716\u50cf\u5206\u6790\uff1a<\/strong> \u5206\u5272\u885b\u661f\u5716\u50cf\u4e2d\u7684\u571f\u5730\u8986\u84cb\u3001\u9053\u8def\u3001\u5efa\u7bc9\u7269\u548c\u5176\u4ed6\u7279\u5fb5\u3002<\/li>\n\n\n\n<li><strong>\u81ea\u52d5\u99d5\u99db\uff1a<\/strong> \u7528\u65bc\u81ea\u52d5\u99d5\u99db\u6c7d\u8eca\u7684\u5834\u666f\u7406\u89e3\uff0c\u5305\u62ec\u5206\u5272\u9053\u8def\u3001\u8eca\u8f1b\u3001\u884c\u4eba\u4ee5\u53ca\u4ea4\u901a\u6a19\u8a8c\u3002<\/li>\n\n\n\n<li><strong>\u901a\u7528\u5716\u50cf\u5206\u5272\u4efb\u52d9\uff1a<\/strong> \u4efb\u4f55\u9700\u8981\u8b58\u5225\u548c\u5283\u5206\u5716\u50cf\u4e2d\u7269\u9ad4\u6216\u5340\u57df\u7684\u4efb\u52d9\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u66f4\u7c21\u55ae\u4f86\u8aaa\uff1a<\/strong> \u60f3\u50cf\u4e00\u4e0b\uff0c\u4f60\u60f3\u70ba\u7167\u7247\u7684\u4e0d\u540c\u90e8\u5206\u8457\u8272\uff08\u4f8b\u5982\uff0c\u5c07\u6240\u6709\u6c7d\u8eca\u5857\u6210\u7d05\u8272\uff0c\u6a39\u6728\u5857\u6210\u7da0\u8272\uff0c\u5929\u7a7a\u5857\u6210\u85cd\u8272\uff09\u3002UNet \u662f\u4e00\u500b\u5f37\u5927\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u5b78\u7fd2\u81ea\u52d5\u5b8c\u6210\u9019\u9805\u5de5\u4f5c\u3002\u5b83\u89c0\u5bdf\u5716\u50cf\uff0c\u7406\u89e3\u4e0d\u540c\u5c64\u6b21\u7684\u4e0a\u4e0b\u6587\uff0c\u7136\u5f8c\u7cbe\u78ba\u5730\u52fe\u52d2\u51fa\u6bcf\u500b\u5340\u57df\u4e26\u9032\u884c\u5206\u985e\u3002<\/p>\n\n\n\n<p>\u4f60\u53ef\u4ee5\u5728\u539f\u59cb\u7814\u7a76\u8ad6\u6587\u4e2d\u627e\u5230\u95dc\u65bc UNet \u7684\u66f4\u8a73\u7d30\u8cc7\u8a0a\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>U-Net: Convolutional Networks for Biomedical Image Segmentation\uff1a<\/strong> <a href=\"https:\/\/www.google.com\/url?sa=E&amp;source=gmail&amp;q=https:\/\/arxiv.org\/abs\/1505.04597\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/1505.04597<\/a><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/github.com\/guoqincode\/DiT-Visualization\" target=\"_blank\"><img data-dominant-color=\"888888\" data-has-transparency=\"false\" style=\"--dominant-color: #888888;\" loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"435\" src=\"\/blog\/wp-content\/uploads\/2025\/02\/dit-1.jpg\" alt=\"\" class=\"wp-image-4674 not-transparent\" srcset=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2025\/02\/dit-1.jpg 1024w, https:\/\/infernews.com\/blog\/wp-content\/uploads\/2025\/02\/dit-1-300x127.jpg 300w, https:\/\/infernews.com\/blog\/wp-content\/uploads\/2025\/02\/dit-1-768x326.jpg 768w, https:\/\/infernews.com\/blog\/wp-content\/uploads\/2025\/02\/dit-1-640x272.jpg 640w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img data-dominant-color=\"79827d\" data-has-transparency=\"false\" style=\"--dominant-color: #79827d;\" loading=\"lazy\" decoding=\"async\" width=\"860\" height=\"790\" src=\"\/blog\/wp-content\/uploads\/2025\/02\/sd.jpg\" alt=\"\" class=\"wp-image-4675 not-transparent\" srcset=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2025\/02\/sd.jpg 860w, https:\/\/infernews.com\/blog\/wp-content\/uploads\/2025\/02\/sd-300x276.jpg 300w, https:\/\/infernews.com\/blog\/wp-content\/uploads\/2025\/02\/sd-768x705.jpg 768w, https:\/\/infernews.com\/blog\/wp-content\/uploads\/2025\/02\/sd-640x588.jpg 640w\" sizes=\"auto, (max-width: 860px) 100vw, 860px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-code-a-star wp-block-embed-code-a-star\"><div class=\"wp-block-embed__wrapper\">\nhttps:\/\/www.codeastar.com\/u-net-object-detection-iou\/\n<\/div><\/figure>\n\n\n<figure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"lyte-wrapper\" title=\"The U-Net (actually) explained in 10 minutes\" style=\"width:853px;max-width:100%;margin:5px auto;\"><div class=\"lyMe\" id=\"WYL_NhdzGfB1q74\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FNhdzGfB1q74%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/NhdzGfB1q74\" \/><meta itemprop=\"duration\" content=\"PT10M31S\" \/><meta itemprop=\"uploadDate\" content=\"2023-05-05T16:51:55Z\" \/><\/div><div id=\"lyte_NhdzGfB1q74\" data-src=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FNhdzGfB1q74%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">The U-Net (actually) explained in 10 minutes<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/NhdzGfB1q74\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FNhdzGfB1q74%2F0.jpg\" alt=\"The U-Net (actually) explained in 10 minutes\" width=\"853\" height=\"460\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"Want to understand the AI model actually behind Harry Potter by Balenciaga or the infamous image of the Pope in the puffer jacket? Well.. diffusion frameworks such as DALL-E 2, Midjourney, Imagen or Stable Diffusion seem to get a lot of credit, where as the true unsung hero of the story is the underlying U-Net architecture that they all actually use under the hood. Don&#039;t get me wrong Diffusion models are awesome but the U-Net is an absolute STAPLE when it comes to computer vision and this video aims to break it down in an easy way. Originally used for image segmentation the U-Net has developed into so much more. Happy watching! U-Net paper: https:\/\/arxiv.org\/abs\/1505.04597 Many thanks to numerous online resources that helped me create this video.\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:853px;margin:5px auto;\"><\/div><figcaption><\/figcaption><\/figure>\n\n<figure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"lyte-wrapper\" title=\"Unet from Scratch || Unet Tutorial || Developers hutt\" style=\"width:853px;max-width:100%;margin:5px auto;\"><div class=\"lyMe\" id=\"WYL_wyUI31E8eew\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FwyUI31E8eew%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/wyUI31E8eew\" \/><meta itemprop=\"duration\" content=\"PT8M19S\" \/><meta itemprop=\"uploadDate\" content=\"2022-04-10T19:56:37Z\" \/><\/div><div id=\"lyte_wyUI31E8eew\" data-src=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FwyUI31E8eew%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">Unet from Scratch || Unet Tutorial || Developers hutt<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/wyUI31E8eew\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FwyUI31E8eew%2F0.jpg\" alt=\"Unet from Scratch || Unet Tutorial || Developers hutt\" width=\"853\" height=\"460\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"After a long time, finally here is one of the gamer changer models for the image segmentation task called UNet. In this video, you&#039;ll see how it works and how you can make and train it on any dataset absolutely from scratch. Paper: https:\/\/arxiv.org\/abs\/1505.04597 Download the dataset from here: https:\/\/www.kaggle.com\/datasets\/tapakah68\/segmentation-full-body-tiktok-dancing-dataset. Thanks for watching. If you&#039;ve any queries, please reach out to me at: Instagram: https:\/\/www.instagram.com\/developershutt Discord: developershutt#7415\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:853px;margin:5px auto;\"><\/div><figcaption><\/figcaption><\/figure>","protected":false},"excerpt":{"rendered":"<p>\u4ec0\u9ebc\u662f UNet\uff1f UNet (U-shaped architecture) \u662f\u4e00\u7a2e\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u5ee3\u6cdb\u7528\u65bc\u5716\u50cf\u5206\u5272\u3002\u53ef\u4ee5\u628a\u5716\u50cf\u5206\u5272\u60f3\u50cf\u6210\u5c07\u5716\u50cf\u5283\u5206\u6210\u4e0d\u540c\u7684\u5340\u57df\u6216\u5340\u584a\uff0c\u7136\u5f8c\u5c0d\u6bcf\u500b\u5340\u584a\u9032\u884c\u5206\u985e\uff08\u4f8b\u5982\uff0c\u5728\u7167\u7247\u4e2d\u8b58\u5225\u5c6c\u65bc\u6c7d\u8eca\u3001\u6a39\u6728\u6216\u5929\u7a7a\u7684\u50cf\u7d20\uff09\u3002 \u4e00\u822c\u4eba\u8a8d\u70ba\uff0c\u6df1\u5ea6\u7db2\uf937\u7684\u6210\u529f\u8a13\u7df4\u9700\u8981\u6578\u5343\u500b\u8a3b\u91cb\u7684\u8a13\u7df4\u6a23\u672c\u3002U-Net \u7684\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u6700\u521d\u70ba\u751f\u7269\u91ab\u5b78\u5f71\u50cf\u5206\u5272\u8a2d\u8a08\u3002U-Net \u7684\u6838\u5fc3\u6982\u5ff5\u662f\u5229\u7528\u8cc7\u6599\u589e\u5f37\u6280\u8853\uff0c\u5373\u4f7f\u5728\u53ea\u6709\u5c11\u91cf\u5e36\u6a19\u8a18\u7684\u8a13\u7df4\u6a23\u672c\u7684\u60c5\u6cc1\u4e0b\uff0c\u4e5f\u80fd\u6709\u6548\u5730\u8a13\u7df4\u6df1\u5ea6\u7db2\u8def\u3002\u5176\u67b6\u69cb\u7684\u7368\u7279\u4e4b\u8655\u5728\u65bc\u5b83\u5305\u542b\u4e00\u500b\u6536\u7e2e\u8def\u5f91 (contracting path)&nbsp;\u4ee5\u6355\u6349\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u4ee5\u53ca\u4e00\u500b\u64f4\u5f35\u8def\u5f91 (expanding path)&nbsp;\u4ee5\u5be6\u73fe\u7cbe\u78ba\u7684\u5b9a\u4f4d\u3002\u6700\u7d42\uff0cU-Net \u5728\u591a\u9805\u751f\u7269\u91ab\u5b78\u5f71\u50cf\u5206\u5272\u6311\u6230\u8cfd\u4e2d\u8868\u73fe\u51fa\u8272\uff0c\u8b49\u660e\u4e86\u5b83\u5728\u8655\u7406\u5c11\u91cf\u8a13\u7df4\u6578\u64da\u548c\u5feb\u901f\u7cbe\u78ba\u5206\u5272\u5f71\u50cf\u65b9\u9762\u7684\u512a\u52e2\u3002 \u4ee5\u4e0b\u662f UNet \u7684\u7279\u5225\u4e4b\u8655\uff1a UNet \u7684\u4e3b\u8981\u61c9\u7528\uff1a \u66f4\u7c21\u55ae\u4f86\u8aaa\uff1a \u60f3\u50cf\u4e00\u4e0b\uff0c\u4f60\u60f3\u70ba\u7167\u7247\u7684\u4e0d\u540c\u90e8\u5206\u8457\u8272\uff08\u4f8b\u5982\uff0c\u5c07\u6240\u6709\u6c7d\u8eca\u5857\u6210\u7d05\u8272\uff0c\u6a39\u6728\u5857\u6210\u7da0\u8272\uff0c\u5929\u7a7a\u5857\u6210\u85cd\u8272\uff09\u3002UNet \u662f\u4e00\u500b\u5f37\u5927\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u5b78\u7fd2\u81ea\u52d5\u5b8c\u6210\u9019\u9805\u5de5\u4f5c\u3002\u5b83\u89c0\u5bdf\u5716\u50cf\uff0c\u7406\u89e3\u4e0d\u540c\u5c64\u6b21\u7684\u4e0a\u4e0b\u6587\uff0c\u7136\u5f8c\u7cbe\u78ba\u5730\u52fe\u52d2\u51fa\u6bcf\u500b\u5340\u57df\u4e26\u9032\u884c\u5206\u985e\u3002 \u4f60\u53ef\u4ee5\u5728\u539f\u59cb\u7814\u7a76\u8ad6\u6587\u4e2d\u627e\u5230\u95dc\u65bc UNet \u7684\u66f4\u8a73\u7d30\u8cc7\u8a0a\uff1a<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"googlesitekit_rrm_CAowvqSiDA:productID":"","footnotes":""},"class_list":["post-4668","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages\/4668","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=4668"}],"version-history":[{"count":0,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages\/4668\/revisions"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=4668"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}