{
    "model_name": "er_resunet_setup_67",
    "model_type": "ResUNet3DValid",
    "framework": "torch",
    "spatial_dims": 3,
    "in_channels": 1,
    "out_channels": 1,
    "iteration": 20000,
    "input_voxel_size": [
        8,
        8,
        8
    ],
    "output_voxel_size": [
        8,
        8,
        8
    ],
    "channels_names": [
        "er"
    ],
    "input_shape": [
        148,
        148,
        148
    ],
    "output_shape": [
        60,
        60,
        60
    ],
    "inference_input_shape": [
        300,
        300,
        300
    ],
    "inference_output_shape": [
        212,
        212,
        212
    ],
    "input_normalization": {
        "method": "min_max",
        "min": -1.0,
        "max": 1.0
    },
    "inference_output_activation": {
        "name": "sigmoid",
        "apply_after_model": true,
        "dim": null
    },
    "author": "Marwan Zouinkhi",
    "description": "Endoplasmic reticulum (er) from FIB-SEM at 8 nm, 3D residual U-Net (InstanceNorm, valid convs), exp_mito setup_67 at 20000 iterations. Valid convolutions (88 voxels of context per axis); outputs raw logits. ONNX web version: cellmap/onnx-web-models/setup_67.",
    "version": "1.0.0",
    "format_version": "1"
}