katielink commited on
Commit
afbd958
1 Parent(s): 260dd16

support monai 1.2 new FlexibleUNet

Browse files
configs/inference.json CHANGED
@@ -15,7 +15,8 @@
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  "backbone": "efficientnet-b2",
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  "spatial_dims": 2,
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  "pretrained": false,
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- "is_pad": false
 
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  },
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  "network": "$@network_def.to(@device)",
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  "preprocessing": {
 
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  "backbone": "efficientnet-b2",
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  "spatial_dims": 2,
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  "pretrained": false,
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+ "is_pad": false,
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+ "pre_conv": null
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  },
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  "network": "$@network_def.to(@device)",
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  "preprocessing": {
configs/metadata.json CHANGED
@@ -1,7 +1,8 @@
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
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- "version": "0.4.1",
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  "changelog": {
 
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  "0.4.1": "add name tag",
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  "0.4.0": "add support for multi-GPU training and evaluation",
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  "0.3.2": "restructure readme to match updated template",
@@ -12,7 +13,7 @@
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  "0.1.0": "complete the first version model package",
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  "0.0.1": "initialize the model package structure"
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  },
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- "monai_version": "1.0.1",
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  "pytorch_version": "1.13.0",
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  "numpy_version": "1.22.4",
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  "optional_packages_version": {
 
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
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+ "version": "0.4.2",
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  "changelog": {
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+ "0.4.2": "support monai 1.2 new FlexibleUNet",
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  "0.4.1": "add name tag",
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  "0.4.0": "add support for multi-GPU training and evaluation",
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  "0.3.2": "restructure readme to match updated template",
 
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  "0.1.0": "complete the first version model package",
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  "0.0.1": "initialize the model package structure"
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  },
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+ "monai_version": "1.2.0rc2",
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  "pytorch_version": "1.13.0",
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  "numpy_version": "1.22.4",
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  "optional_packages_version": {
configs/train.json CHANGED
@@ -23,7 +23,8 @@
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  "spatial_dims": 2,
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  "dropout": 0.5,
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  "pretrained": true,
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- "is_pad": false
 
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  },
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  "network": "$@network_def.to(@device)",
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  "loss": {
 
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  "spatial_dims": 2,
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  "dropout": 0.5,
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  "pretrained": true,
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+ "is_pad": false,
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+ "pre_conv": null
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  },
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  "network": "$@network_def.to(@device)",
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  "loss": {