{
    "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"
                }
            }
        }
    }
}