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": "HiFormer",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 4
+  }
+ },
+ "inference": {
+  "size": [
+   224,
+   224
+  ]
+ }
+}

ACDC.pth.provenance.json

@@ -0,0 +1,43 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/HiFormer",
+ "revision": "0e7d2fedbcb17d3eb840b634210928580e249b48",
+ "filename": "ACDC.pth",
+ "sha256": "e8f9cba700c15dc3896f04bf8d43213e97d4a347eab9c351240cd7a0c4a938d9",
+ "size": 103482467,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "HiFormer/ACDC/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "ACDC",
+  "img_size": 224,
+  "max_epochs": 300,
+  "max_iterations": 30000,
+  "do_deeps": 0,
+  "model_id": 65,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 200,
+  "best_performance": 0.905795847879471
+ },
+ "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": 25511390,
+  "intensity_overridden_for_probe": [
+   "input_scale",
+   "normalize"
+  ],
+  "verified_at": "2026-09-06T21:24:45+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:24:45+00:00"
+}

BUSI.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "HiFormer",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   224,
+   224
+  ],
+  "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/HiFormer",
+ "revision": "0e7d2fedbcb17d3eb840b634210928580e249b48",
+ "filename": "BUSI.pth",
+ "sha256": "833e331b8d029f6facdfbbef1fc8f177e13373c1c5b6077acd5c47352b9ea691",
+ "size": 103480419,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "HiFormer/busi/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "busi",
+  "img_size": 224,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 65,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 77
+ },
+ "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": 25510955,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:24:47+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:24:47+00:00"
+}

COVIDQUEx.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "HiFormer",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   224,
+   224
+  ],
+  "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/HiFormer",
+ "revision": "0e7d2fedbcb17d3eb840b634210928580e249b48",
+ "filename": "COVIDQUEx.pth",
+ "sha256": "b390f165207896237f9006f64203a565accfc12c552d57bba2eb834139c5ec7e",
+ "size": 103479621,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "HiFormer/covidquex/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "covidquex",
+  "img_size": 224,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 65,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 105
+ },
+ "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": 25510955,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:24:52+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:24:52+00:00"
+}

DRIVE.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "HiFormer",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   224,
+   224
+  ],
+  "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/HiFormer",
+ "revision": "0e7d2fedbcb17d3eb840b634210928580e249b48",
+ "filename": "DRIVE.pth",
+ "sha256": "e4c613e86bef2a538c003cb1657cbb0d1d6e5e16eaf608945c853bfffc44b761",
+ "size": 103480419,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "HiFormer/DRIVE/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "DRIVE",
+  "img_size": 224,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 65,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 291
+ },
+ "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": 25510955,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:24:56+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:24:56+00:00"
+}

ISIC2018.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "HiFormer",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   224,
+   224
+  ],
+  "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/HiFormer",
+ "revision": "0e7d2fedbcb17d3eb840b634210928580e249b48",
+ "filename": "ISIC2018.pth",
+ "sha256": "35ac81534cbaae08718ca9d805fe047afb0b4b6e1dae2d9da41e4ae1bd2f53af",
+ "size": 103480483,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "HiFormer/isic18/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "isic18",
+  "img_size": 224,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 65,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 43
+ },
+ "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": 25510955,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:25:01+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:25:01+00:00"
+}

KvasirSEG.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "HiFormer",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   224,
+   224
+  ],
+  "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/HiFormer",
+ "revision": "0e7d2fedbcb17d3eb840b634210928580e249b48",
+ "filename": "KvasirSEG.pth",
+ "sha256": "459cc4d2e36e4d5e88583ae6a9f47c2ee6a6408186b191ab3b32896f7f693ff4",
+ "size": 103480483,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "HiFormer/Kvasir-SEG/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "Kvasir-SEG",
+  "img_size": 224,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 65,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 289
+ },
+ "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": 25510955,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:25:03+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:25:03+00:00"
+}

PROMISE12.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "HiFormer",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   224,
+   224
+  ],
+  "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/HiFormer",
+ "revision": "0e7d2fedbcb17d3eb840b634210928580e249b48",
+ "filename": "PROMISE12.pth",
+ "sha256": "67f08c49407151a85173fa6524942b4c4c505a4d86ab024072550d5240e8447c",
+ "size": 103480006,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "HiFormer/promise12/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "promise12",
+  "img_size": 224,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 65,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 179
+ },
+ "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": 25510955,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:25:07+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:25:07+00:00"
+}

UWaterlooSkinCancer.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "HiFormer",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 1
+  }
+ },
+ "inference": {
+  "size": [
+   224,
+   224
+  ],
+  "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/HiFormer",
+ "revision": "0e7d2fedbcb17d3eb840b634210928580e249b48",
+ "filename": "UWaterlooSkinCancer.pth",
+ "sha256": "b51ede40bacdcf2df396bc4c29235348324e36fd8d72c6c71fb9dbc9bab4a6ac",
+ "size": 103480070,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "HiFormer/uwaterlooskincancer/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "uwaterlooskincancer",
+  "img_size": 224,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 65,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 205
+ },
+ "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": 25510955,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:25:11+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:25:11+00:00"
+}