Add model sidecars: BUSI.pth.config.json, BUSI.pth.provenance.json, COVIDQUEx.pth.config.json, COVIDQUEx.pth.provenance.json, DRIVE.pth.config.json, DRIVE.pth.provenance.json, ISIC2018.pth.config.json, ISIC2018.pth.provenance.json, PROMISE12.pth.config.json, PROMISE12.pth.provenance.json, UWaterlooSkinCancer.pth.config.json, UWaterlooSkinCancer.pth.provenance.json (tools/hf_sidecars.py)

BUSI.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "DoubleUNet",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ],
+  "scale": 255,
+  "normalize": {
+   "mean": [
+    0.485,
+    0.456,
+    0.406
+   ],
+   "std": [
+    58.395,
+    57.12,
+    57.375
+   ]
+  },
+  "threshold": 0.5,
+  "output_select": "last"
+ }
+}

BUSI.pth.provenance.json

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+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/DoubleUNet",
+ "revision": "42e1b68ee2b57887dd7879466306690975579299",
+ "filename": "BUSI.pth",
+ "sha256": "c2ba02c6f29b3720d9bd18d496e0e54db7700a4e5869a9e2079c638aa43569ba",
+ "size": 117293239,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "DoubleUNet/busi/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "busi",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 45,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 256
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (busi) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cpu",
+  "torch": "2.13.0+cpu",
+  "medotter": "0.1.0",
+  "parameters": 29288886,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:02:20+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:02:20+00:00"
+}

COVIDQUEx.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "DoubleUNet",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ],
+  "scale": 255,
+  "normalize": {
+   "mean": [
+    0.485,
+    0.456,
+    0.406
+   ],
+   "std": [
+    58.395,
+    57.12,
+    57.375
+   ]
+  },
+  "threshold": 0.5,
+  "output_select": "last"
+ }
+}

COVIDQUEx.pth.provenance.json

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+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/DoubleUNet",
+ "revision": "42e1b68ee2b57887dd7879466306690975579299",
+ "filename": "COVIDQUEx.pth",
+ "sha256": "122b6e2aef2c4f0cee55c50c86e7ec4defd0113a8522acb2d6188f8c513499e0",
+ "size": 117293303,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "DoubleUNet/covidquex/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "covidquex",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 45,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 145
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (covidquex) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cpu",
+  "torch": "2.13.0+cpu",
+  "medotter": "0.1.0",
+  "parameters": 29288886,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:02:27+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:02:27+00:00"
+}

DRIVE.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "DoubleUNet",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ],
+  "scale": 255,
+  "normalize": {
+   "mean": [
+    0.485,
+    0.456,
+    0.406
+   ],
+   "std": [
+    58.395,
+    57.12,
+    57.375
+   ]
+  },
+  "threshold": 0.5,
+  "output_select": "last"
+ }
+}

DRIVE.pth.provenance.json

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+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/DoubleUNet",
+ "revision": "42e1b68ee2b57887dd7879466306690975579299",
+ "filename": "DRIVE.pth",
+ "sha256": "7769a6ebaa415b0183da0495b2a290c23759420ea34c1bdc201087261296fbbe",
+ "size": 117293303,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "DoubleUNet/DRIVE/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "DRIVE",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 45,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 300
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (DRIVE) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cpu",
+  "torch": "2.13.0+cpu",
+  "medotter": "0.1.0",
+  "parameters": 29288886,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:02:35+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:02:35+00:00"
+}

ISIC2018.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "DoubleUNet",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ],
+  "scale": 255,
+  "normalize": {
+   "mean": [
+    0.485,
+    0.456,
+    0.406
+   ],
+   "std": [
+    58.395,
+    57.12,
+    57.375
+   ]
+  },
+  "threshold": 0.5,
+  "output_select": "last"
+ }
+}

ISIC2018.pth.provenance.json

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+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/DoubleUNet",
+ "revision": "42e1b68ee2b57887dd7879466306690975579299",
+ "filename": "ISIC2018.pth",
+ "sha256": "e62e00d4b4901b0ef4585fb047c4b9816420fd2a9fadc032acfa563e68a95e62",
+ "size": 117293303,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "DoubleUNet/isic18/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "isic18",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 45,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 291
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (isic18) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cpu",
+  "torch": "2.13.0+cpu",
+  "medotter": "0.1.0",
+  "parameters": 29288886,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:02:40+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:02:40+00:00"
+}

PROMISE12.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "DoubleUNet",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ],
+  "scale": 255,
+  "normalize": {
+   "mean": [
+    0.485,
+    0.456,
+    0.406
+   ],
+   "std": [
+    58.395,
+    57.12,
+    57.375
+   ]
+  },
+  "threshold": 0.5,
+  "output_select": "last"
+ }
+}

PROMISE12.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/DoubleUNet",
+ "revision": "42e1b68ee2b57887dd7879466306690975579299",
+ "filename": "PROMISE12.pth",
+ "sha256": "3d63e342e07c00b7d66362bddd2f672890a45c4bc76eafb57373c37728fe8b54",
+ "size": 117292826,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "DoubleUNet/promise12/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "promise12",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 45,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 299
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (promise12) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cpu",
+  "torch": "2.13.0+cpu",
+  "medotter": "0.1.0",
+  "parameters": 29288886,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:02:47+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:02:47+00:00"
+}

UWaterlooSkinCancer.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "DoubleUNet",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ],
+  "scale": 255,
+  "normalize": {
+   "mean": [
+    0.485,
+    0.456,
+    0.406
+   ],
+   "std": [
+    58.395,
+    57.12,
+    57.375
+   ]
+  },
+  "threshold": 0.5,
+  "output_select": "last"
+ }
+}

UWaterlooSkinCancer.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/DoubleUNet",
+ "revision": "42e1b68ee2b57887dd7879466306690975579299",
+ "filename": "UWaterlooSkinCancer.pth",
+ "sha256": "6ef4899ae5f777b2ea4d8007947ca0f54cfc8e35464afe4df15988c24bea851a",
+ "size": 117292890,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "DoubleUNet/uwaterlooskincancer/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "uwaterlooskincancer",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 45,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 236
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (uwaterlooskincancer) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cpu",
+  "torch": "2.13.0+cpu",
+  "medotter": "0.1.0",
+  "parameters": 29288886,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:02:52+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:02:52+00:00"
+}