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": "ConvFormer",
+  "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/ConvFormer",
+ "revision": "46ea22cb5f4ae85dafbd59fceb957ba1f32fd72c",
+ "filename": "ACDC.pth",
+ "sha256": "e50a39c93856fab47861dbc83e4ed64e347a10b523addca683d667f8da1f8533",
+ "size": 462852403,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "ConvFormer/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": 59,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 300,
+  "best_performance": 0.905438494166245
+ },
+ "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": 115610276,
+  "intensity_overridden_for_probe": [
+   "input_scale",
+   "normalize"
+  ],
+  "verified_at": "2026-09-06T20:44:52+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T20:44:52+00:00"
+}

BUSI.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "ConvFormer",
+  "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/ConvFormer",
+ "revision": "46ea22cb5f4ae85dafbd59fceb957ba1f32fd72c",
+ "filename": "BUSI.pth",
+ "sha256": "d54e498a7cb77d2abc40c2b049553be71bef743b5005a244be464dac592ce483",
+ "size": 462850547,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "ConvFormer/busi/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "busi",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 59,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 125
+ },
+ "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": 115609889,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T20:45:06+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T20:45:06+00:00"
+}

COVIDQUEx.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "ConvFormer",
+  "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/ConvFormer",
+ "revision": "46ea22cb5f4ae85dafbd59fceb957ba1f32fd72c",
+ "filename": "COVIDQUEx.pth",
+ "sha256": "bf2e59dd034b977eb4126b73b98e0bd2808d2bb5ca102e1b7aa7aebae7d69959",
+ "size": 462850611,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "ConvFormer/covidquex/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "covidquex",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 59,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 236
+ },
+ "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": 115609889,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T20:45:30+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T20:45:30+00:00"
+}

DRIVE.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "ConvFormer",
+  "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/ConvFormer",
+ "revision": "46ea22cb5f4ae85dafbd59fceb957ba1f32fd72c",
+ "filename": "DRIVE.pth",
+ "sha256": "4e23f7c3142f336daf7d4687eef68fb1f667dcb653919d1c047e7a377eca61d3",
+ "size": 462850547,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "ConvFormer/DRIVE/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "DRIVE",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 59,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 281
+ },
+ "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": 115609889,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T20:45:56+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T20:45:56+00:00"
+}

ISIC2018.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "ConvFormer",
+  "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/ConvFormer",
+ "revision": "46ea22cb5f4ae85dafbd59fceb957ba1f32fd72c",
+ "filename": "ISIC2018.pth",
+ "sha256": "ddc8bbb7de318c82bc2535c18f9ea60148d91046a11705c5aecfb5ad751d98e9",
+ "size": 462850547,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "ConvFormer/isic18/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "isic18",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 59,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 146
+ },
+ "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": 115609889,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T20:46:25+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T20:46:25+00:00"
+}

KvasirSEG.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "ConvFormer",
+  "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/ConvFormer",
+ "revision": "46ea22cb5f4ae85dafbd59fceb957ba1f32fd72c",
+ "filename": "KvasirSEG.pth",
+ "sha256": "eb0f8216ab6340c0527fb6cf722ddc0e4c9ad26cb119b49694cdef8c80c89151",
+ "size": 462850611,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "ConvFormer/Kvasir-SEG/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "Kvasir-SEG",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 59,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 237
+ },
+ "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": 115609889,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T20:46:35+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T20:46:35+00:00"
+}

PROMISE12.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "ConvFormer",
+  "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/ConvFormer",
+ "revision": "46ea22cb5f4ae85dafbd59fceb957ba1f32fd72c",
+ "filename": "PROMISE12.pth",
+ "sha256": "dc80d7649427f82bf853e679b0681052c10738003d7ef50b03b182a0b88f6fd6",
+ "size": 462850134,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "ConvFormer/promise12/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "promise12",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 59,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 289
+ },
+ "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": 115609889,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T20:47:01+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T20:47:01+00:00"
+}

UWaterlooSkinCancer.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "ConvFormer",
+  "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/ConvFormer",
+ "revision": "46ea22cb5f4ae85dafbd59fceb957ba1f32fd72c",
+ "filename": "UWaterlooSkinCancer.pth",
+ "sha256": "0ecab0705d9282586dccd056f4e0d867b1873d68b12216399a87c28959c2a31c",
+ "size": 462850134,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "ConvFormer/uwaterlooskincancer/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "uwaterlooskincancer",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 59,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 202
+ },
+ "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": 115609889,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T20:47:24+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T20:47:24+00:00"
+}