| { | |
| "models": { | |
| "GelGenie-Universal-Dec-2023": { | |
| "abbrvName": "Universal Model", | |
| "modelName": "GelGenie-Universal-Dec-2023", | |
| "description": "SMPUNet trained with global padding on entire GelGenie training dataset", | |
| "hf_repo_id": "mattaq/GelGenie-Universal-Dec-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "unet_dec_21_epoch_579.pt", | |
| "onnx_file": "unet_dec_21_epoch_579.onnx" | |
| }, | |
| "GelGenie-Universal-FineTune-May-2024": { | |
| "abbrvName": "Sharp Band Model", | |
| "modelName": "GelGenie-Universal-FineTune-May-2024", | |
| "description": "SMPUNet finetuned from universal model to improve performance on sharp bands", | |
| "hf_repo_id": "mattaq/GelGenie-Universal-FineTune-May-2024", | |
| "hf_revision": "main", | |
| "torchscript_file": "unet_dec_21_finetune_epoch_590.pt", | |
| "onnx_file": "unet_dec_21_finetune_epoch_590.onnx" | |
| }, | |
| "GelGenie-Universal-Extended-Dec-2023": { | |
| "abbrvName": "Universal Model (Extended)", | |
| "modelName": "GelGenie-Universal-Extended-Dec-2023", | |
| "description": "SMPUNet trained with global padding on entire GelGenie dataset", | |
| "hf_repo_id": "mattaq/GelGenie-Universal-Extended-Dec-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "unet_dec_21_extended_set_epoch_600.pt", | |
| "onnx_file": "unet_dec_21_extended_set_epoch_600.onnx" | |
| }, | |
| "GelGenie-LowRes-Dec-2023": { | |
| "abbrvName": "Low-Res Model", | |
| "modelName": "GelGenie-LowRes-Dec-2023", | |
| "description": "SMPUNet trained with global padding on LSDB training dataset", | |
| "hf_repo_id": "mattaq/GelGenie-LowRes-Dec-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "unet_dec_21_lsdb_only_epoch_427.pt", | |
| "onnx_file": "unet_dec_21_lsdb_only_epoch_427.onnx" | |
| }, | |
| "GelGenie-LowRes-Extended-Dec-2023": { | |
| "abbrvName": "Low-Res Model (Extended)", | |
| "modelName": "GelGenie-LowRes-Extended-Dec-2023", | |
| "description": "SMPUNet trained with global padding on entire LSDB dataset", | |
| "hf_repo_id": "mattaq/GelGenie-LowRes-Extended-Dec-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "unet_dec_21_lsdb_only_extended_set_epoch_600.pt", | |
| "onnx_file": "unet_dec_21_lsdb_only_extended_set_epoch_600.onnx" | |
| }, | |
| "GelGenie-nnUNet-Dec-2023": { | |
| "abbrvName": "nnUNet (slow without GPU)", | |
| "modelName": "GelGenie-nnUNet-Dec-2023", | |
| "description": "nnUNet trained on entire GelGenie training dataset", | |
| "hf_repo_id": "mattaq/GelGenie-nnUNet-Dec-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "gaussian_tta_packaged_nnunet.pt", | |
| "onnx_file": "None" | |
| }, | |
| "GelGenie-nnUNet-Extended-Dec-2023": { | |
| "abbrvName": "nnUNet (Extended - slow without GPU)", | |
| "modelName": "GelGenie-nnUNet-Extended-Dec-2023", | |
| "description": "nnUNet trained on entire GelGenie dataset", | |
| "hf_repo_id": "mattaq/GelGenie-nnUNet-Extended-Dec-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "gaussian_tta_packaged_nnunet.pt", | |
| "onnx_file": "None" | |
| }, | |
| "GelGenie-SMPUNet-GP-4-Nov-2023": { | |
| "abbrvName": "Prototype Model (Universal)", | |
| "modelName": "GelGenie-SMPUNet-GP-4-Nov-2023", | |
| "description": "Prototype SMPUNet trained with global padding", | |
| "hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-4-Nov-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "unet_global_padding_nov_4_epoch_198.pt", | |
| "onnx_file": "unet_global_padding_nov_4_epoch_198.onnx" | |
| }, | |
| "nnUNet-GelGenie-15-Dec-2023": { | |
| "abbrvName": "Prototype nnUNet Model (slow without GPU)", | |
| "modelName": "nnUNet-GelGenie-15-Dec-2023", | |
| "description": "Prototype nnUNet", | |
| "hf_repo_id": "mattaq/nnUNet-GelGenie-15-Dec-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "gaussian_tta_packaged_nnunet.pt", | |
| "onnx_file": "None" | |
| }, | |
| "GelGenie-AttUNet-CW-4-Nov-2023": { | |
| "abbrvName": "Prototype Model (Lightweight)", | |
| "modelName": "GelGenie-AttUNet-CW-4-Nov-2023", | |
| "description": "Prototype Attention UNet (monai) trained with class weighting", | |
| "hf_repo_id": "mattaq/GelGenie-AttUNet-CW-4-Nov-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "attunet_nov_4_class_weighting_epoch_338.pt", | |
| "onnx_file":"attunet_nov_4_class_weighting_epoch_338.onnx" | |
| }, | |
| "GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023": { | |
| "abbrvName": "Prototype Model (High-Res)", | |
| "modelName": "GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023", | |
| "description": "Prototype SMPUNet trained with global padding on non-LSDB data", | |
| "hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "unet_global_padding_nov_5_no_lsdb_epoch_585.pt", | |
| "onnx_file":"unet_global_padding_nov_5_no_lsdb_epoch_585.onnx" | |
| }, | |
| "GelGenie-SMPUNet-GP-LSDB-6-Nov-2023": { | |
| "abbrvName": "Prototype Model (Low-Res)", | |
| "modelName": "GelGenie-SMPUNet-GP-LSDB-6-Nov-2023", | |
| "description": "Prototype SMPUNet trained with global padding on LSDB data only", | |
| "hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-LSDB-6-Nov-2023", | |
| "hf_revision": "main", | |
| "torchscript_file": "unet_global_padding_nov_6_lsdb_only_epoch_306.pt", | |
| "onnx_file":"unet_global_padding_nov_6_lsdb_only_epoch_306.onnx" | |
| } | |
| } | |
| } |