black autofix format and add name tag
Browse files- configs/metadata.json +3 -1
- scripts/cocometric_ignite.py +0 -1
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": "0.5.
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"changelog": {
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"0.5.1": "modify dataset key name",
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"0.5.0": "use detection inferer",
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"0.4.5": "fixed some small changes with formatting in readme",
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@@ -23,6 +24,7 @@
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"pytorch-ignite": "0.4.9",
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"torchvision": "0.14.0"
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},
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"task": "CT lung nodule detection",
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"description": "A pre-trained model for volumetric (3D) detection of the lung lesion from CT image on LUNA16 dataset",
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"authors": "MONAI team",
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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": "0.5.2",
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"changelog": {
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+
"0.5.2": "black autofix format and add name tag",
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"0.5.1": "modify dataset key name",
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"0.5.0": "use detection inferer",
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"0.4.5": "fixed some small changes with formatting in readme",
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"pytorch-ignite": "0.4.9",
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"torchvision": "0.14.0"
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},
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+
"name": "Lung nodule CT detection",
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"task": "CT lung nodule detection",
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"description": "A pre-trained model for volumetric (3D) detection of the lung lesion from CT image on LUNA16 dataset",
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"authors": "MONAI team",
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scripts/cocometric_ignite.py
CHANGED
@@ -89,7 +89,6 @@ class IgniteCocoMetric(Metric):
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@sync_all_reduce("val_targets_all", "val_outputs_all")
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def compute(self) -> float:
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-
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self.val_outputs_all = detach_to_numpy(self.val_outputs_all)
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self.val_targets_all = detach_to_numpy(self.val_targets_all)
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@sync_all_reduce("val_targets_all", "val_outputs_all")
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def compute(self) -> float:
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self.val_outputs_all = detach_to_numpy(self.val_outputs_all)
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self.val_targets_all = detach_to_numpy(self.val_targets_all)
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