Add model sidecars: ACDC.pth.config.json, ACDC.pth.provenance.json, 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, KvasirSEG.pth.config.json, KvasirSEG.pth.provenance.json, PROMISE12.pth.config.json, PROMISE12.pth.provenance.json, UWaterlooSkinCancer.pth.config.json, UWaterlooSkinCancer.pth.provenance.json (tools/hf_sidecars.py)

ACDC.pth.config.json

@@ -0,0 +1,16 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "TransNorm",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 4
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ]
+ }
+}

ACDC.pth.provenance.json

@@ -0,0 +1,43 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/TransNorm",
+ "revision": "a94860ca24fdfc770deb39f930e1ed8ab6d91665",
+ "filename": "ACDC.pth",
+ "sha256": "84ab4a3f2cb6723715e0d737fc15de4c5d8f2456d3fb17fc9853fcd020b85ca5",
+ "size": 470920953,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "TransNorm/ACDC/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "ACDC",
+  "img_size": 256,
+  "max_epochs": 300,
+  "max_iterations": 30000,
+  "do_deeps": 0,
+  "model_id": 70,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 300,
+  "best_performance": 0.8422737808181275
+ },
+ "preprocessing_class": "C",
+ "intensity_written": false,
+ "reason": "class C (ACDC): per-volume min-max to [-1, 1], inexpressible as scale/window; no intensity keys are written (the eval door refuses until declared)",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cpu",
+  "torch": "2.13.0+cpu",
+  "medotter": "0.1.0",
+  "parameters": 117676900,
+  "intensity_overridden_for_probe": [
+   "input_scale",
+   "normalize"
+  ],
+  "verified_at": "2026-09-06T21:51:58+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:51:58+00:00"
+}

BUSI.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "TransNorm",
+  "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
+ }
+}

BUSI.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/TransNorm",
+ "revision": "a94860ca24fdfc770deb39f930e1ed8ab6d91665",
+ "filename": "BUSI.pth",
+ "sha256": "c53a8246b7dfb5e738870afb6c22e303060244c8e67870341d22db9ae9318673",
+ "size": 470918905,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "TransNorm/busi/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "busi",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 70,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 110
+ },
+ "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": 117676465,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:52:06+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:52:06+00:00"
+}

COVIDQUEx.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "TransNorm",
+  "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
+ }
+}

COVIDQUEx.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/TransNorm",
+ "revision": "a94860ca24fdfc770deb39f930e1ed8ab6d91665",
+ "filename": "COVIDQUEx.pth",
+ "sha256": "3ecd1764533239d7c303db04bed91906ded69031c6982d54f37e362cbea40ee1",
+ "size": 470918107,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "TransNorm/covidquex/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "covidquex",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 70,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 166
+ },
+ "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": 117676465,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:52:15+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:52:15+00:00"
+}

DRIVE.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "TransNorm",
+  "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
+ }
+}

DRIVE.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/TransNorm",
+ "revision": "a94860ca24fdfc770deb39f930e1ed8ab6d91665",
+ "filename": "DRIVE.pth",
+ "sha256": "21b5d3484214e73114f522eac07c4ba6444ae87f64492e35be88556e6e00301e",
+ "size": 470918905,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "TransNorm/DRIVE/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "DRIVE",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 70,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 174
+ },
+ "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": 117676465,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:52:24+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:52:24+00:00"
+}

ISIC2018.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "TransNorm",
+  "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
+ }
+}

ISIC2018.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/TransNorm",
+ "revision": "a94860ca24fdfc770deb39f930e1ed8ab6d91665",
+ "filename": "ISIC2018.pth",
+ "sha256": "86e7324a0bce0e2290f79c19a5ad0cf4884451d44407291920a5e9c7db1a872d",
+ "size": 470918969,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "TransNorm/isic18/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "isic18",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 70,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 184
+ },
+ "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": 117676465,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:52:31+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:52:31+00:00"
+}

KvasirSEG.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "TransNorm",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ],
+  "scale": 255,
+  "normalize": {
+   "mean": [
+    0.485,
+    0.456,
+    0.406
+   ],
+   "std": [
+    0.229,
+    0.224,
+    0.225
+   ]
+  },
+  "threshold": 0.5
+ }
+}

KvasirSEG.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/TransNorm",
+ "revision": "a94860ca24fdfc770deb39f930e1ed8ab6d91665",
+ "filename": "KvasirSEG.pth",
+ "sha256": "be753739fca3c4caad57bf628a637f27c487029d13eff45bb1ad4860c9842d2e",
+ "size": 470918969,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "TransNorm/Kvasir-SEG/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "Kvasir-SEG",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 70,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 228
+ },
+ "preprocessing_class": "B",
+ "intensity_written": true,
+ "reason": "class B (Kvasir-SEG) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cpu",
+  "torch": "2.13.0+cpu",
+  "medotter": "0.1.0",
+  "parameters": 117676465,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:52:38+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:52:38+00:00"
+}

PROMISE12.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "TransNorm",
+  "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
+ }
+}

PROMISE12.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/TransNorm",
+ "revision": "a94860ca24fdfc770deb39f930e1ed8ab6d91665",
+ "filename": "PROMISE12.pth",
+ "sha256": "8ac6c4d34a32d2e2b841e9b5bba9b00b8857e7495d19595cefe9926abccd8f64",
+ "size": 470918492,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "TransNorm/promise12/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "promise12",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 70,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 185
+ },
+ "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": 117676465,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:52:45+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:52:45+00:00"
+}

UWaterlooSkinCancer.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "TransNorm",
+  "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
+ }
+}

UWaterlooSkinCancer.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/TransNorm",
+ "revision": "a94860ca24fdfc770deb39f930e1ed8ab6d91665",
+ "filename": "UWaterlooSkinCancer.pth",
+ "sha256": "cf57d25eb11dc60313ea265ac01d3b7276953ab06bf124d066dd6b96de20aaf5",
+ "size": 470918556,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "TransNorm/uwaterlooskincancer/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "uwaterlooskincancer",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 70,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 57
+ },
+ "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": 117676465,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:52:52+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:52:52+00:00"
+}