Update registry.json
Browse files- registry.json +41 -5
registry.json
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@@ -1,7 +1,43 @@
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{
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"models": {
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"GelGenie-
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"abbrvName": "Universal Model",
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"modelName": "GelGenie-SMPUNet-GP-4-Nov-2023",
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"description": "Prototype SMPUNet trained with global padding",
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"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-4-Nov-2023",
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@@ -10,7 +46,7 @@
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"onnx_file": "unet_global_padding_nov_4_epoch_198.onnx"
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},
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"nnUNet-GelGenie-15-Dec-2023": {
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"abbrvName": "nnUNet Model (slow without GPU)",
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"modelName": "nnUNet-GelGenie-15-Dec-2023",
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"description": "Prototype nnUNet",
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"hf_repo_id": "mattaq/nnUNet-GelGenie-15-Dec-2023",
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@@ -19,7 +55,7 @@
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"onnx_file": "None"
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},
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"GelGenie-AttUNet-CW-4-Nov-2023": {
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"abbrvName": "
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"modelName": "GelGenie-AttUNet-CW-4-Nov-2023",
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"description": "Prototype Attention UNet (monai) trained with class weighting",
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"hf_repo_id": "mattaq/GelGenie-AttUNet-CW-4-Nov-2023",
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@@ -28,7 +64,7 @@
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"onnx_file":"attunet_nov_4_class_weighting_epoch_338.onnx"
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},
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"GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023": {
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"abbrvName": "High-Res
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"modelName": "GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023",
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"description": "Prototype SMPUNet trained with global padding on non-LSDB data",
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"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023",
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@@ -37,7 +73,7 @@
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"onnx_file":"unet_global_padding_nov_5_no_lsdb_epoch_585.onnx"
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},
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"GelGenie-SMPUNet-GP-LSDB-6-Nov-2023": {
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"abbrvName": "Low-Res
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"modelName": "GelGenie-SMPUNet-GP-LSDB-6-Nov-2023",
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"description": "Prototype SMPUNet trained with global padding on LSDB data only",
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"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-LSDB-6-Nov-2023",
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{
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"models": {
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"GelGenie-Universal-Dec-2023": {
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"abbrvName": "Universal Model",
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"modelName": "GelGenie-Universal-Dec-2023",
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"description": "SMPUNet trained with global padding on entire GelGenie training dataset",
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"hf_repo_id": "mattaq/GelGenie-Universal-Dec-2023",
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"hf_revision": "main",
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"torchscript_file": "unet_dec_21_epoch_579.pt",
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"onnx_file": "unet_dec_21_epoch_579.onnx"
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},
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"GelGenie-Universal-Extended-Dec-2023": {
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"abbrvName": "Universal Model (Extended)",
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"modelName": "GelGenie-Universal-Extended-Dec-2023",
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"description": "SMPUNet trained with global padding on entire GelGenie dataset",
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"hf_repo_id": "mattaq/GelGenie-Universal-Extended-Dec-2023",
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"hf_revision": "main",
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"torchscript_file": "unet_dec_21_extended_set_epoch_600.pt",
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"onnx_file": "unet_dec_21_extended_set_epoch_600.onnx"
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},
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"GelGenie-LowRes-Dec-2023": {
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"abbrvName": "Low-Res Model",
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"modelName": "GelGenie-LowRes-Dec-2023",
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"description": "SMPUNet trained with global padding on LSDB training dataset",
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"hf_repo_id": "mattaq/GelGenie-LowRes-Dec-2023",
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"hf_revision": "main",
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"torchscript_file": "unet_dec_21_lsdb_only_epoch_427.pt",
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"onnx_file": "unet_dec_21_lsdb_only_epoch_427.onnx"
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},
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"GelGenie-LowRes-Extended-Dec-2023": {
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"abbrvName": "Low-Res Model (Extended)",
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"modelName": "GelGenie-LowRes-Extended-Dec-2023",
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"description": "SMPUNet trained with global padding on entire LSDB dataset",
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"hf_repo_id": "mattaq/GelGenie-LowRes-Extended-Dec-2023",
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"hf_revision": "main",
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"torchscript_file": "unet_dec_21_lsdb_only_extended_set_epoch_600.pt",
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"onnx_file": "unet_dec_21_lsdb_only_extended_set_epoch_600.onnx"
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},
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"GelGenie-SMPUNet-GP-4-Nov-2023": {
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"abbrvName": "Prototype Model (Universal)",
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"modelName": "GelGenie-SMPUNet-GP-4-Nov-2023",
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"description": "Prototype SMPUNet trained with global padding",
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"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-4-Nov-2023",
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"onnx_file": "unet_global_padding_nov_4_epoch_198.onnx"
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},
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"nnUNet-GelGenie-15-Dec-2023": {
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"abbrvName": "Prototype nnUNet Model (slow without GPU)",
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"modelName": "nnUNet-GelGenie-15-Dec-2023",
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"description": "Prototype nnUNet",
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"hf_repo_id": "mattaq/nnUNet-GelGenie-15-Dec-2023",
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"onnx_file": "None"
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},
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"GelGenie-AttUNet-CW-4-Nov-2023": {
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"abbrvName": "Prototype Model (Lightweight)",
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"modelName": "GelGenie-AttUNet-CW-4-Nov-2023",
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"description": "Prototype Attention UNet (monai) trained with class weighting",
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"hf_repo_id": "mattaq/GelGenie-AttUNet-CW-4-Nov-2023",
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"onnx_file":"attunet_nov_4_class_weighting_epoch_338.onnx"
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},
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"GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023": {
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"abbrvName": "Prototype Model (High-Res)",
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"modelName": "GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023",
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"description": "Prototype SMPUNet trained with global padding on non-LSDB data",
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"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-NOLSDB-5-Nov-2023",
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"onnx_file":"unet_global_padding_nov_5_no_lsdb_epoch_585.onnx"
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},
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"GelGenie-SMPUNet-GP-LSDB-6-Nov-2023": {
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"abbrvName": "Prototype Model (Low-Res)",
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"modelName": "GelGenie-SMPUNet-GP-LSDB-6-Nov-2023",
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"description": "Prototype SMPUNet trained with global padding on LSDB data only",
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"hf_repo_id": "mattaq/GelGenie-SMPUNet-GP-LSDB-6-Nov-2023",
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