| { | |
| "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" | |
| } |