| { | |
| "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json", | |
| "version": "0.0.4", | |
| "changelog": { | |
| "0.0.4": "add name tag", | |
| "0.0.3": "update to use monai 1.1.0", | |
| "0.0.2": "update to use rc1", | |
| "0.0.1": "Initial version" | |
| }, | |
| "monai_version": "1.1.0", | |
| "pytorch_version": "1.13.0", | |
| "numpy_version": "1.22.2", | |
| "optional_packages_version": { | |
| "pytorch-ignite": "0.4.8" | |
| }, | |
| "name": "MedNIST registration", | |
| "task": "Spatial transformer for hand image registration from the MedNIST dataset", | |
| "description": "This is an example of a ResNet and spatial transformer for hand xray image registration", | |
| "authors": "MONAI team", | |
| "copyright": "Copyright (c) MONAI Consortium", | |
| "intended_use": "This is an example of image registration using MONAI, suitable for demonstration purposes only.", | |
| "data_type": "jpeg", | |
| "network_data_format": { | |
| "inputs": { | |
| "image": { | |
| "type": "image", | |
| "format": "magnitude", | |
| "num_channels": 2, | |
| "spatial_shape": [ | |
| 64, | |
| 64 | |
| ], | |
| "dtype": "float32", | |
| "value_range": [ | |
| 0, | |
| 1 | |
| ], | |
| "is_patch_data": false, | |
| "channel_def": { | |
| "0": "moving image", | |
| "1": "fixed image" | |
| } | |
| } | |
| }, | |
| "outputs": { | |
| "pred": { | |
| "type": "image", | |
| "format": "magnitude", | |
| "num_channels": 1, | |
| "spatial_shape": [ | |
| 64, | |
| 64 | |
| ], | |
| "dtype": "float32", | |
| "value_range": [ | |
| 0, | |
| 1 | |
| ], | |
| "is_patch_data": false, | |
| "channel_def": { | |
| "0": "image" | |
| } | |
| } | |
| } | |
| } | |
| } | |