models
dict |
|---|
{
"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",
"onnx_static_file": "unet_dec_21_epoch_579_fixed_dim_1024.onnx",
"modelType": "Primary"
},
"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",
"onnx_static_file": "unet_dec_21_finetune_epoch_590_fixed_dim_1024.onnx",
"modelType": "Primary"
},
"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",
"onnx_static_file": "unet_dec_21_extended_set_epoch_600_fixed_dim_1024.onnx",
"modelType": "Prototype"
},
"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",
"onnx_static_file": "unet_dec_21_lsdb_only_epoch_427_fixed_dim_1024.onnx",
"modelType": "Primary"
},
"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",
"onnx_static_file": "unet_dec_21_lsdb_only_extended_set_epoch_600_fixed_dim_1024.onnx",
"modelType": "Prototype"
},
"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",
"modelType": "Primary"
},
"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",
"modelType": "Prototype"
},
"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",
"onnx_static_file": "unet_global_padding_nov_4_epoch_198_fixed_dim_1024.onnx",
"modelType": "Prototype"
},
"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",
"modelType": "Prototype"
},
"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",
"onnx_static_file": "attunet_nov_4_class_weighting_epoch_338_fixed_dim_1024.onnx",
"modelType": "Prototype"
},
"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",
"onnx_static_file": "unet_global_padding_nov_5_no_lsdb_epoch_585_fixed_dim_1024.onnx",
"modelType": "Prototype"
},
"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",
"onnx_static_file": "unet_global_padding_nov_6_lsdb_only_epoch_306_fixed_dim_1024.onnx",
"modelType": "Prototype"
}
} |
This is the registry of models which can be used both in PyTorch (standalone) or in the GelGenie QuPath Extension. You can access the individual models from the links provided.
For more details, please visit our open-source codebase here: https://github.com/mattaq31/GelGenie.
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