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": "MUCM_Net",
+    "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/MUCM_Net",
+ "revision": "b1814739cb37eaca97254672b57b335558470336",
+ "filename": "ACDC.pth",
+ "sha256": "29ae06567e0a98fc6972beaee903ac7cbd8039e3b4fecbabe854e78b4fc9ea3d",
+ "size": 677113,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "MUCM_Net/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": 91,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 183,
+  "best_performance": 0.8385216601220553
+ },
+ "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": "cuda",
+  "torch": "2.10.0+cu128",
+  "medotter": "0.1.0",
+  "parameters": 139063,
+  "intensity_overridden_for_probe": [
+   "input_scale",
+   "normalize"
+  ],
+  "verified_at": "2026-09-08T06:56:41+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:56:41+00:00"
+}

BUSI.pth.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "name": "MUCM_Net",
+    "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/MUCM_Net",
+ "revision": "b1814739cb37eaca97254672b57b335558470336",
+ "filename": "BUSI.pth",
+ "sha256": "349c59d6ae1ed28dc12201ce290f86a4d91ec8ce7df074abcaa16384e93680ba",
+ "size": 675257,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "MUCM_Net/busi/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "busi",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 91,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 94
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (busi) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cuda",
+  "torch": "2.10.0+cu128",
+  "medotter": "0.1.0",
+  "parameters": 138652,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-08T06:56:43+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:56:43+00:00"
+}

COVIDQUEx.pth.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "name": "MUCM_Net",
+    "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/MUCM_Net",
+ "revision": "b1814739cb37eaca97254672b57b335558470336",
+ "filename": "COVIDQUEx.pth",
+ "sha256": "aca68a2575ba734f6dec2aadd7c4c8a5eb9cbbc002729ae3e409217cd22f8d3b",
+ "size": 675257,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "MUCM_Net/covidquex/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "covidquex",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 91,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 83
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (covidquex) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cuda",
+  "torch": "2.10.0+cu128",
+  "medotter": "0.1.0",
+  "parameters": 138652,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-08T06:56:44+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:56:44+00:00"
+}

DRIVE.pth.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "name": "MUCM_Net",
+    "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/MUCM_Net",
+ "revision": "b1814739cb37eaca97254672b57b335558470336",
+ "filename": "DRIVE.pth",
+ "sha256": "94940a27a272355a210c82c264d4d4d8f862c7c88e2446e28afa819bfc3544fd",
+ "size": 675257,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "MUCM_Net/DRIVE/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "DRIVE",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 91,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 195
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (DRIVE) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cuda",
+  "torch": "2.10.0+cu128",
+  "medotter": "0.1.0",
+  "parameters": 138652,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-08T06:56:46+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:56:46+00:00"
+}

ISIC2018.pth.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "name": "MUCM_Net",
+    "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/MUCM_Net",
+ "revision": "b1814739cb37eaca97254672b57b335558470336",
+ "filename": "ISIC2018.pth",
+ "sha256": "18380578b29465e445d2171e7138a41f1204699272a429a72a0f38f6e4ad80c3",
+ "size": 675257,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "MUCM_Net/isic18/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "isic18",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 91,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 192
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (isic18) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cuda",
+  "torch": "2.10.0+cu128",
+  "medotter": "0.1.0",
+  "parameters": 138652,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-08T06:56:48+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:56:48+00:00"
+}

KvasirSEG.pth.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "name": "MUCM_Net",
+    "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/MUCM_Net",
+ "revision": "b1814739cb37eaca97254672b57b335558470336",
+ "filename": "KvasirSEG.pth",
+ "sha256": "7cf3b9109cf662c2a11b2ba1e4d1c1520af241571c0e46128d7042d492438bd5",
+ "size": 675257,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "MUCM_Net/Kvasir-SEG/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "Kvasir-SEG",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 91,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 240
+ },
+ "preprocessing_class": "B",
+ "intensity_written": true,
+ "reason": "class B (Kvasir-SEG) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cuda",
+  "torch": "2.10.0+cu128",
+  "medotter": "0.1.0",
+  "parameters": 138652,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-08T06:56:50+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:56:50+00:00"
+}

PROMISE12.pth.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "name": "MUCM_Net",
+    "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/MUCM_Net",
+ "revision": "b1814739cb37eaca97254672b57b335558470336",
+ "filename": "PROMISE12.pth",
+ "sha256": "da51dfde46e25c49e8e27aa6730e7b4375613d065642f9bd472a07e3228ff026",
+ "size": 675193,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "MUCM_Net/promise12/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "promise12",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 91,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 264
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (promise12) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cuda",
+  "torch": "2.10.0+cu128",
+  "medotter": "0.1.0",
+  "parameters": 138652,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-08T06:56:51+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:56:51+00:00"
+}

UWaterlooSkinCancer.pth.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "name": "MUCM_Net",
+    "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/MUCM_Net",
+ "revision": "b1814739cb37eaca97254672b57b335558470336",
+ "filename": "UWaterlooSkinCancer.pth",
+ "sha256": "1bd232d6858cd4cd93b7de4fffe93bc4be9351748781f0b33f4f2d44ae4d78b1",
+ "size": 675257,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "MUCM_Net/uwaterlooskincancer/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "uwaterlooskincancer",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 91,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 72
+ },
+ "preprocessing_class": "A",
+ "intensity_written": true,
+ "reason": "class A (uwaterlooskincancer) intensity written",
+ "verification": {
+  "strict_load": "pass",
+  "device": "cuda",
+  "torch": "2.10.0+cu128",
+  "medotter": "0.1.0",
+  "parameters": 138652,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-08T06:56:53+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:56:53+00:00"
+}