{"id":1052,"date":"2026-05-14T17:28:42","date_gmt":"2026-05-14T09:28:42","guid":{"rendered":"https:\/\/www.eutaboo.com\/index.php\/2026\/05\/14\/%e3%80%8annu-net-0%e5%9f%ba%e7%a1%80%e5%85%a5%e9%97%a8%ef%bc%884%ef%bc%89%ef%bc%9a%e7%ac%ac%e4%b8%80%e6%ac%a1%e8%b7%91%e9%80%9a-nnu-net-v2%ef%bc%8cplan%e3%80%81preprocess%e3%80%81train%e3%80%81predict\/"},"modified":"2026-05-14T17:28:42","modified_gmt":"2026-05-14T09:28:42","slug":"%e3%80%8annu-net-0%e5%9f%ba%e7%a1%80%e5%85%a5%e9%97%a8%ef%bc%884%ef%bc%89%ef%bc%9a%e7%ac%ac%e4%b8%80%e6%ac%a1%e8%b7%91%e9%80%9a-nnu-net-v2%ef%bc%8cplan%e3%80%81preprocess%e3%80%81train%e3%80%81predict","status":"publish","type":"post","link":"https:\/\/www.eutaboo.com\/index.php\/2026\/05\/14\/%e3%80%8annu-net-0%e5%9f%ba%e7%a1%80%e5%85%a5%e9%97%a8%ef%bc%884%ef%bc%89%ef%bc%9a%e7%ac%ac%e4%b8%80%e6%ac%a1%e8%b7%91%e9%80%9a-nnu-net-v2%ef%bc%8cplan%e3%80%81preprocess%e3%80%81train%e3%80%81predict\/","title":{"rendered":"\u300annU-Net 0\u57fa\u7840\u5165\u95e8\uff084\uff09\uff1a\u7b2c\u4e00\u6b21\u8dd1\u901a nnU-Net v2\uff0cplan\u3001preprocess\u3001train\u3001predict \u5168\u6d41\u7a0b\u300b"},"content":{"rendered":"<h2>\u672c\u7bc7\u5b66\u4e60\u76ee\u6807<\/h2>\n<p>\u8fd9\u662f\u300annU-Net 0\u57fa\u7840\u5165\u95e8\u300b\u7cfb\u5217\u7684\u7b2c 4 \u7bc7\u3002\u524d\u9762\u6211\u4eec\u5df2\u7ecf\u5b8c\u6210\u4e86\u5b89\u88c5\u548c\u6570\u636e\u96c6\u683c\u5f0f\u51c6\u5907\u3002\u672c\u6587\u8981\u505a\u7684\u662f\u8dd1\u901a\u7b2c\u4e00\u4e2a\u5b8c\u6574\u95ed\u73af\uff1a\u4ece\u6570\u636e\u96c6\u7f16\u53f7\u5f00\u59cb\uff0c\u5b8c\u6210 plan\u3001preprocess\u3001train \u548c predict\u3002<\/p>\n<p>\u8bfb\u5b8c\u672c\u6587\uff0c\u4f60\u5e94\u8be5\u80fd\u591f\uff1a<\/p>\n<ol>\n<li>\u77e5\u9053 <code>nnUNetv2_plan_and_preprocess<\/code> \u5b9e\u9645\u505a\u4e86\u54ea\u4e09\u4ef6\u4e8b\u3002<\/li>\n<li>\u80fd\u542f\u52a8\u4e00\u4e2a fold \u7684\u8bad\u7ec3\uff0c\u5e76\u7406\u89e3 <code>DATASET_ID CONFIGURATION FOLD<\/code> \u4e09\u4e2a\u53c2\u6570\u3002<\/li>\n<li>\u80fd\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u65b0\u56fe\u50cf\u6267\u884c\u9884\u6d4b\u3002<\/li>\n<li>\u77e5\u9053\u6bcf\u4e00\u6b65\u7684\u8f93\u5165\u3001\u8f93\u51fa\u548c\u5e38\u89c1\u68c0\u67e5\u70b9\u3002<\/li>\n<\/ol>\n<h2>1. \u5b8c\u6574\u95ed\u73af\u957f\u4ec0\u4e48\u6837<\/h2>\n<p>\u5982\u679c\u4f60\u5df2\u7ecf\u6309\u7b2c 3 \u7bc7\u51c6\u5907\u597d\u4e86 <code>Dataset001_Liver<\/code> \u8fd9\u7c7b\u6570\u636e\u96c6\uff0c\u90a3\u4e48 nnU-Net v2 \u7684\u7b2c\u4e00\u4e2a\u95ed\u73af\u53ef\u4ee5\u6982\u62ec\u4e3a\uff1a<\/p>\n<pre><code class=\"language-mermaid\">flowchart LR\n    A[nnUNet_raw \u4e2d\u7684\u6570\u636e\u96c6] --> B[plan_and_preprocess]\n    B --> C[nnUNet_preprocessed \u4e2d\u7684 fingerprint \/ plans \/ \u9884\u5904\u7406\u6570\u636e]\n    C --> D[nnUNetv2_train]\n    D --> E[nnUNet_results \u4e2d\u7684 checkpoint \u548c\u65e5\u5fd7]\n    E --> F[nnUNetv2_predict]\n    F --> G[\u8f93\u51fa\u5206\u5272\u7ed3\u679c]\n<\/code><\/pre>\n<p>\u8fd9\u91cc\u6709\u4e09\u4e2a\u76ee\u5f55\u4f1a\u53cd\u590d\u51fa\u73b0\uff1a<\/p>\n<ul>\n<li><code>nnUNet_raw<\/code>\uff1a\u653e\u539f\u59cb\u6570\u636e\u96c6\u3002<\/li>\n<li><code>nnUNet_preprocessed<\/code>\uff1a\u653e\u6570\u636e\u5206\u6790\u3001\u8ba1\u5212\u6587\u4ef6\u548c\u9884\u5904\u7406\u540e\u7684\u8bad\u7ec3\u6570\u636e\u3002<\/li>\n<li><code>nnUNet_results<\/code>\uff1a\u653e\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u3001\u65e5\u5fd7\u548c\u9a8c\u8bc1\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<h2>2. \u7b2c\u4e00\u6b65\uff1aplan and preprocess<\/h2>\n<p>\u5b98\u65b9\u6587\u6863\u63a8\u8350\u65b0\u6570\u636e\u96c6\u7b2c\u4e00\u6b21\u8fd0\u884c\uff1a<\/p>\n<pre><code class=\"language-bash\">nnUNetv2_plan_and_preprocess -d 1 --verify_dataset_integrity<\/code><\/pre>\n<p>\u5982\u679c\u4f60\u7684\u6570\u636e\u96c6\u662f <code>Dataset123_MyDataset<\/code>\uff0c\u547d\u4ee4\u5c31\u662f\uff1a<\/p>\n<pre><code class=\"language-bash\">nnUNetv2_plan_and_preprocess -d 123 --verify_dataset_integrity<\/code><\/pre>\n<p><code>--verify_dataset_integrity<\/code> \u8868\u793a\u5148\u68c0\u67e5\u6570\u636e\u96c6\u5b8c\u6574\u6027\u3002\u5bf9\u521d\u5b66\u8005\u6765\u8bf4\uff0c\u7b2c\u4e00\u6b21\u8dd1\u67d0\u4e2a\u6570\u636e\u96c6\u4e00\u5b9a\u5efa\u8bae\u52a0\u4e0a\u5b83\u3002\u8fd9\u6837\u80fd\u63d0\u524d\u53d1\u73b0\u56fe\u50cf\u547d\u540d\u3001\u6807\u7b7e\u7f3a\u5931\u3001\u7c7b\u522b\u503c\u4e0d\u4e00\u81f4\u7b49\u95ee\u9898\u3002<\/p>\n<p>\u8fd9\u4e2a\u547d\u4ee4\u5b9e\u9645\u505a\u4e09\u4ef6\u4e8b\uff1a<\/p>\n<ol>\n<li><strong>extract dataset fingerprint<\/strong>\uff1a\u63d0\u53d6\u6570\u636e\u96c6\u6307\u7eb9\uff0c\u4e5f\u5c31\u662f\u56fe\u50cf\u5c3a\u5bf8\u3001spacing\u3001\u5f3a\u5ea6\u5206\u5e03\u7b49\u6570\u636e\u7279\u5f81\u3002<\/li>\n<li><strong>experiment planning<\/strong>\uff1a\u751f\u6210\u5b9e\u9a8c\u8ba1\u5212\uff0c\u51b3\u5b9a\u4f1a\u6709\u54ea\u4e9b configuration\uff0c\u4f8b\u5982 <code>2d<\/code> \u6216 <code>3d_fullres<\/code>\u3002<\/li>\n<li><strong>preprocessing<\/strong>\uff1a\u6309\u8ba1\u5212\u6267\u884c\u9884\u5904\u7406\uff0c\u628a\u8bad\u7ec3\u9700\u8981\u7684\u4e2d\u95f4\u6570\u636e\u5199\u5230 <code>nnUNet_preprocessed<\/code>\u3002<\/li>\n<\/ol>\n<p>\u5b8c\u6210\u540e\uff0c\u4f60\u53ef\u4ee5\u68c0\u67e5\uff1a<\/p>\n<pre><code class=\"language-bash\">ls \"$nnUNet_preprocessed\"\/Dataset001_Liver\n<\/code><\/pre>\n<p>\u901a\u5e38\u4f1a\u770b\u5230\u7c7b\u4f3c\uff1a<\/p>\n<pre><code class=\"language-text\">dataset_fingerprint.json\ndataset.json\nnnUNetPlans.json\nnnUNetPlans_2d\/\nnnUNetPlans_3d_fullres\/<\/code><\/pre>\n<p>\u5b9e\u9645\u76ee\u5f55\u540d\u4f1a\u56e0\u6570\u636e\u96c6\u548c nnU-Net \u7248\u672c\u6709\u6240\u4e0d\u540c\uff0c\u4f46 <code>dataset_fingerprint.json<\/code> \u548c <code>nnUNetPlans.json<\/code> \u662f\u4f60\u9700\u8981\u91cd\u70b9\u8ba4\u8bc6\u7684\u6587\u4ef6\u3002\u524d\u8005\u63cf\u8ff0\u6570\u636e\uff0c\u540e\u8005\u63cf\u8ff0 nnU-Net \u4e3a\u6570\u636e\u751f\u6210\u7684\u8bad\u7ec3\u8ba1\u5212\u3002<\/p>\n<h2>3. \u7b2c\u4e8c\u6b65\uff1a\u9009\u62e9\u4e00\u4e2a configuration<\/h2>\n<p><strong>configuration<\/strong> \u53ef\u4ee5\u7406\u89e3\u4e3a\u8bad\u7ec3\u914d\u7f6e\u3002\u5b98\u65b9\u8bad\u7ec3\u6587\u6863\u5217\u51fa\u7684\u5e38\u89c1\u914d\u7f6e\u5305\u62ec\uff1a<\/p>\n<ul>\n<li><code>2d<\/code>\uff1a\u4f7f\u7528 2D U-Net\u3002<\/li>\n<li><code>3d_fullres<\/code>\uff1a\u4f7f\u7528\u5168\u5206\u8fa8\u7387 3D U-Net\u3002<\/li>\n<li><code>3d_lowres<\/code>\uff1a\u4f7f\u7528\u4f4e\u5206\u8fa8\u7387 3D U-Net\u3002<\/li>\n<li><code>3d_cascade_fullres<\/code>\uff1a\u7ea7\u8054\u7684\u5168\u5206\u8fa8\u7387 3D U-Net\u3002<\/li>\n<\/ul>\n<p>\u4e0d\u662f\u6bcf\u4e2a\u6570\u636e\u96c6\u90fd\u4f1a\u751f\u6210\u6240\u6709\u914d\u7f6e\u3002\u5b98\u65b9\u6587\u6863\u660e\u786e\u63d0\u9192\uff1a\u5c0f\u6570\u636e\u96c6\u6216\u4e0d\u9700\u8981 cascade \u7684\u6570\u636e\u96c6\u53ef\u80fd\u4e0d\u4f1a\u751f\u6210 <code>3d_lowres<\/code> \u548c <code>3d_cascade_fullres<\/code>\u3002<\/p>\n<p>\u7b2c\u4e00\u6b21\u5b66\u4e60\u65f6\uff0c\u53ef\u4ee5\u4f18\u5148\u9009\u62e9\u5df2\u7ecf\u751f\u6210\u7684 <code>3d_fullres<\/code> \u6216 <code>2d<\/code>\u3002\u5177\u4f53\u9009\u54ea\u4e2a\uff0c\u8981\u770b\u9884\u5904\u7406\u540e\u76ee\u5f55\u91cc\u6709\u54ea\u4e9b\u914d\u7f6e\uff0c\u4ee5\u53ca\u4f60\u7684 GPU \u663e\u5b58\u662f\u5426\u591f\u7528\u3002<\/p>\n<h2>4. \u7b2c\u4e09\u6b65\uff1a\u8bad\u7ec3\u4e00\u4e2a fold<\/h2>\n<p>\u5b98\u65b9\u57fa\u672c\u8bad\u7ec3\u547d\u4ee4\u662f\uff1a<\/p>\n<pre><code class=\"language-bash\">nnUNetv2_train DATASET_NAME_OR_ID CONFIGURATION FOLD<\/code><\/pre>\n<p>\u4f8b\u5982\u8bad\u7ec3\u6570\u636e\u96c6 1 \u7684 <code>3d_fullres<\/code> \u914d\u7f6e\u3001\u7b2c 0 \u4e2a fold\uff1a<\/p>\n<pre><code class=\"language-bash\">nnUNetv2_train 1 3d_fullres 0<\/code><\/pre>\n<p><strong>fold<\/strong> \u6307\u4ea4\u53c9\u9a8c\u8bc1\u4e2d\u7684\u6570\u636e\u5212\u5206\u7f16\u53f7\u3002nnU-Net \u901a\u5e38\u7528 5-fold cross-validation\uff0c\u4e5f\u5c31\u662f\u628a\u8bad\u7ec3\u96c6\u5206\u6210 5 \u4efd\uff0c\u6bcf\u6b21\u7528\u5176\u4e2d\u4e00\u4efd\u505a\u9a8c\u8bc1\uff0c\u5176\u4f59\u505a\u8bad\u7ec3\u3002\u7b2c\u4e00\u4e2a\u95ed\u73af\u91cc\uff0c\u6211\u4eec\u5148\u8bad\u7ec3 fold 0\uff0c\u76ee\u7684\u662f\u8dd1\u901a\u6d41\u7a0b\u3002\u540e\u9762\u7b2c 5\u30016 \u7bc7\u4f1a\u7cfb\u7edf\u8bb2 5-fold \u548c\u6a21\u578b\u9009\u62e9\u3002<\/p>\n<p>\u5982\u679c\u4f60\u4e4b\u540e\u60f3\u4f7f\u7528 <code>nnUNetv2_find_best_configuration<\/code> \u81ea\u52a8\u6bd4\u8f83\u914d\u7f6e\u548c\u505a ensemble\uff0c\u5b98\u65b9\u6587\u6863\u5efa\u8bae\u8bad\u7ec3\u65f6\u52a0 <code>--npz<\/code>\uff0c\u4fdd\u5b58\u9a8c\u8bc1\u6982\u7387\uff1a<\/p>\n<pre><code class=\"language-bash\">nnUNetv2_train 1 3d_fullres 0 --npz<\/code><\/pre>\n<p>\u5982\u679c\u6709\u591a\u5f20 GPU\uff0c\u53ef\u4ee5\u7528 <code>CUDA_VISIBLE_DEVICES<\/code> \u6307\u5b9a\u5f53\u524d\u8bad\u7ec3\u4f7f\u7528\u54ea\u5f20\u5361\uff1a<\/p>\n<pre><code class=\"language-bash\">CUDA_VISIBLE_DEVICES=0 nnUNetv2_train 1 3d_fullres 0 --npz<\/code><\/pre>\n<p>\u8bad\u7ec3\u8f93\u51fa\u4f1a\u5199\u5230 <code>nnUNet_results<\/code> \u4e0b\uff0c\u5b98\u65b9\u6587\u6863\u7ed9\u51fa\u7684\u7ed3\u6784\u5927\u81f4\u662f\uff1a<\/p>\n<pre><code class=\"language-text\">nnUNet_results\/\n\u2514\u2500\u2500 Dataset001_Liver\/\n    \u2514\u2500\u2500 TRAINER__PLANS__CONFIGURATION\/\n        \u2514\u2500\u2500 fold_0\/\n            \u251c\u2500\u2500 checkpoint_final.pth\n            \u251c\u2500\u2500 checkpoint_best.pth\n            \u251c\u2500\u2500 progress.png\n            \u2514\u2500\u2500 validation\/<\/code><\/pre>\n<p><code>checkpoint_final.pth<\/code> \u662f\u8bad\u7ec3\u7ed3\u675f\u65f6\u7684\u6a21\u578b\u6743\u91cd\uff0c<code>checkpoint_best.pth<\/code> \u662f\u9a8c\u8bc1\u8868\u73b0\u8f83\u597d\u7684\u6743\u91cd\uff0c<code>progress.png<\/code> \u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u89c2\u5bdf\u8bad\u7ec3\u66f2\u7ebf\u3002<\/p>\n<h2>5. \u7b2c\u56db\u6b65\uff1a\u51c6\u5907\u63a8\u7406\u8f93\u5165<\/h2>\n<p>\u63a8\u7406\u8f93\u5165\u5fc5\u987b\u9075\u5b88\u7b2c 3 \u7bc7\u8bb2\u8fc7\u7684\u547d\u540d\u89c4\u5219\uff1a\u6587\u4ef6\u540e\u7f00\u548c channel \u7f16\u53f7\u8981\u4e0e\u8bad\u7ec3\u6570\u636e\u96c6\u4e00\u81f4\u3002<\/p>\n<p>\u4f8b\u5982\u5355\u901a\u9053\u8f93\u5165\uff1a<\/p>\n<pre><code class=\"language-text\">input_images\/\n\u251c\u2500\u2500 case_001_0000.nii.gz\n\u2514\u2500\u2500 case_002_0000.nii.gz<\/code><\/pre>\n<p>\u4e24\u901a\u9053\u8f93\u5165\uff1a<\/p>\n<pre><code class=\"language-text\">input_images\/\n\u251c\u2500\u2500 case_001_0000.nii.gz\n\u251c\u2500\u2500 case_001_0001.nii.gz\n\u251c\u2500\u2500 case_002_0000.nii.gz\n\u2514\u2500\u2500 case_002_0001.nii.gz<\/code><\/pre>\n<p>\u63a8\u7406\u9636\u6bb5\u4e0d\u9700\u8981\u6807\u7b7e\u6587\u4ef6\uff0c\u56e0\u4e3a\u6a21\u578b\u8981\u9884\u6d4b\u7684\u5c31\u662f\u6807\u7b7e\u3002<\/p>\n<h2>6. \u7b2c\u4e94\u6b65\uff1a\u6267\u884c\u9884\u6d4b<\/h2>\n<p>\u5b98\u65b9\u63a8\u7406\u547d\u4ee4\u662f\uff1a<\/p>\n<pre><code class=\"language-bash\">nnUNetv2_predict -i INPUT_FOLDER -o OUTPUT_FOLDER -d DATASET_NAME_OR_ID -c CONFIGURATION<\/code><\/pre>\n<p>\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-bash\">nnUNetv2_predict \\\n  -i .\/input_images \\\n  -o .\/predictions \\\n  -d 1 \\\n  -c 3d_fullres<\/code><\/pre>\n<p>\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cnnU-Net \u63a8\u7406\u4f1a\u4f7f\u7528\u8bad\u7ec3\u597d\u7684 5 \u4e2a fold \u505a ensemble\u3002\u5982\u679c\u4f60\u53ea\u8bad\u7ec3\u4e86 <code>all<\/code> fold\uff0c\u5e76\u4e14\u53ea\u60f3\u7528\u8fd9\u4e2a\u6a21\u578b\uff0c\u5b98\u65b9\u6587\u6863\u7ed9\u51fa\u7684\u65b9\u5f0f\u662f\u4f7f\u7528 <code>-f all<\/code>\uff1a<\/p>\n<pre><code class=\"language-bash\">nnUNetv2_predict \\\n  -i .\/input_images \\\n  -o .\/predictions \\\n  -d 1 \\\n  -c 3d_fullres \\\n  -f all<\/code><\/pre>\n<p>\u5982\u679c\u4f60\u53ea\u8bad\u7ec3\u4e86 fold 0\uff0c\u800c\u8fd8\u6ca1\u6709\u5b8c\u6574\u8bad\u7ec3 5 \u4e2a fold\uff0c\u5efa\u8bae\u5148\u628a\u8fd9\u4e00\u6b65\u5f53\u4f5c\u7406\u89e3\u547d\u4ee4\u5f62\u6001\u3002\u6b63\u5f0f\u9879\u76ee\u4e2d\uff0c\u5e94\u6309\u5b98\u65b9\u63a8\u8350\u5b8c\u6210\u4ea4\u53c9\u9a8c\u8bc1\u548c\u6a21\u578b\u9009\u62e9\u540e\uff0c\u518d\u4f7f\u7528\u6700\u4f73\u914d\u7f6e\u7684\u63a8\u7406\u547d\u4ee4\u3002<\/p>\n<h2>7. \u7b2c\u4e00\u8f6e\u95ed\u73af\u547d\u4ee4\u901f\u67e5<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u9636\u6bb5<\/th>\n<th>\u547d\u4ee4<\/th>\n<th>\u4e3b\u8981\u8f93\u51fa<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u6570\u636e\u68c0\u67e5 + \u8ba1\u5212 + \u9884\u5904\u7406<\/td>\n<td><code>nnUNetv2_plan_and_preprocess -d 1 --verify_dataset_integrity<\/code><\/td>\n<td><code>nnUNet_preprocessed\/Dataset001_...<\/code><\/td>\n<\/tr>\n<tr>\n<td>\u8bad\u7ec3 fold 0<\/td>\n<td><code>nnUNetv2_train 1 3d_fullres 0 --npz<\/code><\/td>\n<td><code>nnUNet_results\/Dataset001_...\/...\/fold_0<\/code><\/td>\n<\/tr>\n<tr>\n<td>\u9884\u6d4b<\/td>\n<td><code>nnUNetv2_predict -i input_images -o predictions -d 1 -c 3d_fullres<\/code><\/td>\n<td><code>predictions<\/code> \u4e2d\u7684\u5206\u5272\u7ed3\u679c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>8. \u5e38\u89c1\u9519\u8bef\u68c0\u67e5\u70b9<\/h2>\n<ul>\n<li><strong>plan \u9636\u6bb5\u627e\u4e0d\u5230\u6570\u636e\u96c6<\/strong>\uff1a\u68c0\u67e5\u6570\u636e\u96c6\u662f\u5426\u653e\u5728 <code>nnUNet_raw<\/code> \u4e0b\uff0c\u76ee\u5f55\u540d\u662f\u5426\u662f <code>Dataset001_Name<\/code>\u3002<\/li>\n<li><strong>\u5b8c\u6574\u6027\u68c0\u67e5\u5931\u8d25<\/strong>\uff1a\u4f18\u5148\u68c0\u67e5 <code>imagesTr<\/code> \u548c <code>labelsTr<\/code> \u7684 case id \u662f\u5426\u5bf9\u5e94\uff0c\u6807\u7b7e\u7c7b\u522b\u503c\u662f\u5426\u90fd\u5199\u8fdb <code>dataset.json<\/code>\u3002<\/li>\n<li><strong>\u8bad\u7ec3\u65f6\u627e\u4e0d\u5230 configuration<\/strong>\uff1a\u68c0\u67e5 <code>nnUNet_preprocessed<\/code> \u4e2d\u5b9e\u9645\u751f\u6210\u4e86\u54ea\u4e9b\u914d\u7f6e\uff0c\u4e0d\u8981\u5047\u8bbe\u4e00\u5b9a\u6709 <code>3d_fullres<\/code> \u6216 cascade\u3002<\/li>\n<li><strong>\u8bad\u7ec3\u663e\u5b58\u4e0d\u8db3<\/strong>\uff1a\u5148\u5c1d\u8bd5\u5176\u4ed6\u5df2\u751f\u6210\u914d\u7f6e\uff0c\u6216\u66f4\u6362\u663e\u5b58\u66f4\u5927\u7684 GPU\u3002\u4e0d\u8981\u4e00\u5f00\u59cb\u5c31\u968f\u610f\u6539 plans\u3002<\/li>\n<li><strong>\u9884\u6d4b\u65f6\u62a5\u8f93\u5165\u6587\u4ef6\u9519\u8bef<\/strong>\uff1a\u68c0\u67e5\u63a8\u7406\u8f93\u5165\u662f\u5426\u5e26 <code>_0000<\/code> \u7b49 channel \u7f16\u53f7\uff0c\u6587\u4ef6\u540e\u7f00\u662f\u5426\u4e0e\u8bad\u7ec3\u6570\u636e\u4e00\u81f4\u3002<\/li>\n<\/ul>\n<h2>9. \u5b98\u65b9\u8d44\u6599\u5165\u53e3<\/h2>\n<p>\u672c\u6587\u4e3b\u8981\u53c2\u8003\uff1a<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/MIC-DKFZ\/nnUNet\/blob\/master\/documentation\/how-to\/plan-and-preprocess.md\" target=\"_blank\"  rel=\"nofollow\" >Plan and Preprocess<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/MIC-DKFZ\/nnUNet\/blob\/master\/documentation\/how-to\/train-models.md\" target=\"_blank\"  rel=\"nofollow\" >Train Models<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/MIC-DKFZ\/nnUNet\/blob\/master\/documentation\/how-to\/run-inference.md\" target=\"_blank\"  rel=\"nofollow\" >Run Inference<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/MIC-DKFZ\/nnUNet\/blob\/master\/documentation\/reference\/cli-overview.md\" target=\"_blank\"  rel=\"nofollow\" >CLI Overview<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/MIC-DKFZ\/nnUNet\/blob\/master\/documentation\/reference\/dataset-format.md\" target=\"_blank\"  rel=\"nofollow\" >Dataset and Input Format Reference<\/a><\/li>\n<\/ul>\n<h2>\u672c\u7bc7\u603b\u7ed3<\/h2>\n<p>nnU-Net v2 \u7684\u7b2c\u4e00\u4e2a\u5b8c\u6574\u95ed\u73af\u662f\uff1a\u5148\u7528 <code>nnUNetv2_plan_and_preprocess<\/code> \u5206\u6790\u6570\u636e\u3001\u751f\u6210\u8ba1\u5212\u5e76\u9884\u5904\u7406\uff1b\u518d\u7528 <code>nnUNetv2_train DATASET CONFIGURATION FOLD<\/code> \u8bad\u7ec3\u6307\u5b9a\u914d\u7f6e\u548c fold\uff1b\u6700\u540e\u7528 <code>nnUNetv2_predict<\/code> \u5bf9\u65b0\u56fe\u50cf\u8fdb\u884c\u9884\u6d4b\u3002<\/p>\n<p>\u8fd9\u4e00\u7bc7\u7684\u76ee\u6807\u4e0d\u662f\u9a6c\u4e0a\u5f97\u5230\u6700\u7ec8\u6700\u4f73\u6a21\u578b\uff0c\u800c\u662f\u8ba9\u4f60\u628a\u4ece\u6570\u636e\u5230\u9884\u6d4b\u7684\u4e3b\u6d41\u7a0b\u8dd1\u901a\u3002\u540e\u9762\u6211\u4eec\u4f1a\u7ee7\u7eed\u89e3\u91ca fold\u3001checkpoint\u3001\u65e5\u5fd7\u3001\u6a21\u578b\u9009\u62e9\u548c postprocessing\u3002<\/p>\n<h2>\u4e0b\u4e00\u7bc7\u9884\u544a<\/h2>\n<p>\u4e0b\u4e00\u7bc7\u6211\u4eec\u4f1a\u4e13\u95e8\u8bb2\u8bad\u7ec3\u8fc7\u7a0b\uff1afold \u662f\u4ec0\u4e48\uff0cconfiguration \u600e\u4e48\u9009\uff0ccheckpoint \u6587\u4ef6\u600e\u4e48\u7406\u89e3\uff0c\u65e5\u5fd7\u548c <code>progress.png<\/code> \u5e94\u8be5\u600e\u4e48\u770b\uff0c\u4ee5\u53ca\u8bad\u7ec3\u4e2d\u65ad\u540e\u5982\u4f55\u5224\u65ad\u5f53\u524d\u72b6\u6001\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u7bc7\u4e32\u8d77 nnU-Net v2 \u7684\u7b2c\u4e00\u4e2a\u5b8c\u6574\u95ed\u73af\uff1a\u6570\u636e\u68c0\u67e5\u3001\u5b9e\u9a8c\u89c4\u5212\u3001\u9884\u5904\u7406\u3001\u8bad\u7ec3\u4e00\u4e2a fold\uff0c\u4ee5\u53ca\u7528\u8bad\u7ec3\u914d\u7f6e\u6267\u884c\u9884\u6d4b\u3002<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"emotion":"","emotion_color":"","title_style":"","license":"","footnotes":""},"categories":[83],"tags":[],"class_list":["post-1052","post","type-post","status-publish","format-standard","hentry","category-83"],"views":2,"_links":{"self":[{"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/posts\/1052","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/comments?post=1052"}],"version-history":[{"count":0,"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/posts\/1052\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/media?parent=1052"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/categories?post=1052"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eutaboo.com\/index.php\/wp-json\/wp\/v2\/tags?post=1052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}