Add model sidecars: ACDC.pth.config.json, ACDC.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": "UTNet",
+  "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/UTNet",
+ "revision": "e03805b1ace8c5bd95f8acae07bde9bc13b45e07",
+ "filename": "ACDC.pth",
+ "sha256": "4d2eaeeab4e781b2651fb1b7e3aa57d4f8483f2b6ba9807d8612adfc8de4c433",
+ "size": 58205057,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "UTNet/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": 73,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 100,
+  "best_performance": 0.9106778458180633
+ },
+ "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": 14418854,
+  "intensity_overridden_for_probe": [
+   "input_scale",
+   "normalize"
+  ],
+  "verified_at": "2026-09-06T21:59:59+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:59:59+00:00"
+}

COVIDQUEx.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "UTNet",
+  "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/UTNet",
+ "revision": "e03805b1ace8c5bd95f8acae07bde9bc13b45e07",
+ "filename": "COVIDQUEx.pth",
+ "sha256": "62ae936b64769e5be9641ad8a84ac0dacd21b4bb2ba0c7e503667fdf076d5ed5",
+ "size": 58204353,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "UTNet/covidquex/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "covidquex",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 73,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 119
+ },
+ "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": 14418755,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T22:00:01+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T22:00:01+00:00"
+}

DRIVE.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "UTNet",
+  "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/UTNet",
+ "revision": "e03805b1ace8c5bd95f8acae07bde9bc13b45e07",
+ "filename": "DRIVE.pth",
+ "sha256": "3abba7a5c039ddb734d6e92db59df9f1d8f0a736b14f572b2354a0bb780bbeef",
+ "size": 58204353,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "UTNet/DRIVE/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "DRIVE",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 73,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 245
+ },
+ "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": 14418755,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T22:00:04+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T22:00:04+00:00"
+}

ISIC2018.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "UTNet",
+  "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/UTNet",
+ "revision": "e03805b1ace8c5bd95f8acae07bde9bc13b45e07",
+ "filename": "ISIC2018.pth",
+ "sha256": "245e2c164c1cd282b76366419b1bc3ccd8130bed1436932a034bca911e1e171a",
+ "size": 58204353,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "UTNet/isic18/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "isic18",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 73,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 137
+ },
+ "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": 14418755,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T22:00:06+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T22:00:06+00:00"
+}

KvasirSEG.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "UTNet",
+  "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/UTNet",
+ "revision": "e03805b1ace8c5bd95f8acae07bde9bc13b45e07",
+ "filename": "KvasirSEG.pth",
+ "sha256": "3fd4da2abaa6a34d163d29fe563a26605605a1289462e6426f8aec8f17069b91",
+ "size": 58204353,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "UTNet/Kvasir-SEG/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "Kvasir-SEG",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 73,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 166
+ },
+ "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": 14418755,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T22:00:09+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T22:00:09+00:00"
+}

PROMISE12.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "UTNet",
+  "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/UTNet",
+ "revision": "e03805b1ace8c5bd95f8acae07bde9bc13b45e07",
+ "filename": "PROMISE12.pth",
+ "sha256": "b10a2ffa2af4b4c8e40e223ba4e89befe7f0fafb18f0e225336800b13689c445",
+ "size": 58203940,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "UTNet/promise12/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "promise12",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 73,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 194
+ },
+ "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": 14418755,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T22:00:11+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T22:00:11+00:00"
+}

UWaterlooSkinCancer.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "UTNet",
+  "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/UTNet",
+ "revision": "e03805b1ace8c5bd95f8acae07bde9bc13b45e07",
+ "filename": "UWaterlooSkinCancer.pth",
+ "sha256": "795a10ff552c9867d0c1f151ab716f492c88111ebb2cac6f533e30d07cbad320",
+ "size": 58203940,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "UTNet/uwaterlooskincancer/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "uwaterlooskincancer",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 73,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 157
+ },
+ "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": 14418755,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T22:00:13+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T22:00:13+00:00"
+}