Add weights for 16 3D cloud instance-segmentation models (8 architectures x 2 conditions)
67305fd verified Download segresnet/real_only/config.json from HoqueMahmudul/convective-cloud-3d-instance-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 1.9 kB
-
https://huggingface.co/HoqueMahmudul/convective-cloud-3d-instance-segmentation/resolve/main/segresnet/real_only/config.json
- Command line
-
hf download hf://HoqueMahmudul/convective-cloud-3d-instance-segmentation/segresnet/real_only/config.json
-
curl -L -o config.json https://huggingface.co/HoqueMahmudul/convective-cloud-3d-instance-segmentation/resolve/main/segresnet/real_only/config.json
1.9 kB
| { | |
| "architecture": "segresnet", | |
| "implementation": "monai.networks.nets.SegResNet", | |
| "spatial_dims": 3, | |
| "in_channels": 1, | |
| "out_channels": 3, | |
| "model_kwargs": { | |
| "init_filters": 16, | |
| "dropout_prob": 0.1 | |
| }, | |
| "state_dict_note": "MONAI networks were wrapped, so keys carry a 'network.' prefix; strip it to load into the bare MONAI class.", | |
| "output_channels": [ | |
| "foreground", | |
| "seeds", | |
| "boundary" | |
| ], | |
| "output_activation": "logits (apply sigmoid)", | |
| "condition": "real_only", | |
| "condition_label": "Real only volumes", | |
| "seed": 42, | |
| "train_volumes": [ | |
| "real_253", | |
| "real_255", | |
| "real_257", | |
| "real_259", | |
| "real_261" | |
| ], | |
| "validation_volume": "real_263", | |
| "selected_step": 4000, | |
| "selection": "best validation panoptic quality on real_263", | |
| "best_val_pq": 0.6700788287147582, | |
| "parameter_count": 4700931, | |
| "input_normalization": { | |
| "method": "x = clip((v - lo) / (hi - lo), 0, 1)", | |
| "lo": 302.0, | |
| "hi": 1921.0 | |
| }, | |
| "voxel_spacing_km": 0.5, | |
| "patch_size_dhw": [ | |
| 32, | |
| 160, | |
| 160 | |
| ], | |
| "sliding_window": { | |
| "roi_size": [ | |
| 32, | |
| 160, | |
| 160 | |
| ], | |
| "overlap": 0.5, | |
| "mode": "gaussian", | |
| "blend": "logits, then sigmoid" | |
| }, | |
| "postprocessing": "foreground/seed thresholding + marker-controlled watershed", | |
| "global_operating_point": { | |
| "foreground_threshold": 0.4, | |
| "seed_threshold": 0.7, | |
| "boundary_threshold": 0.5, | |
| "min_seed_size": 3, | |
| "min_instance_size": 6, | |
| "foreground_closing_iterations": 1, | |
| "seed_opening_iterations": 0 | |
| }, | |
| "calibrated_operating_point": { | |
| "foreground_threshold": 0.5, | |
| "seed_threshold": 0.5, | |
| "boundary_threshold": 0.5, | |
| "min_seed_size": 5, | |
| "min_instance_size": 12, | |
| "foreground_closing_iterations": 1, | |
| "seed_opening_iterations": 0 | |
| }, | |
| "source_checkpoint_sha256": "4ac39d2eff3582a389a65244d6d092f6f935f2ee886ba06c9f2219a89beccc8a" | |
| } |