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, 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 +1,17 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "Polyp_PVT",
+  "args": {
+   "input_channel": 3,
+   "num_classes": 4
+  }
+ },
+ "inference": {
+  "size": [
+   256,
+   256
+  ],
+  "output_select": "last"
+ }
+}

ACDC.pth.provenance.json

@@ -0,0 +1,43 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/Polyp_PVT",
+ "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+ "filename": "ACDC.pth",
+ "sha256": "684d44784b44ec22725afeba7f7327df680beb641d8514320076036c89c55f1d",
+ "size": 100592291,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "Polyp_PVT/ACDC/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "ACDC",
+  "img_size": 256,
+  "max_epochs": 300,
+  "max_iterations": 30000,
+  "do_deeps": 1,
+  "model_id": 83,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 300,
+  "best_performance": 0.913248821827653
+ },
+ "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": 25107802,
+  "intensity_overridden_for_probe": [
+   "input_scale",
+   "normalize"
+  ],
+  "verified_at": "2026-09-06T21:40:23+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:40:23+00:00"
+}

BUSI.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "Polyp_PVT",
+  "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,
+  "output_select": "last"
+ }
+}

BUSI.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/Polyp_PVT",
+ "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+ "filename": "BUSI.pth",
+ "sha256": "17169d2717106f982c117dc4505905fdec73509907494deb443e4193f25ddb46",
+ "size": 100592065,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "Polyp_PVT/busi/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "busi",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 83,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 166
+ },
+ "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": 25107604,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:40:27+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:40:27+00:00"
+}

COVIDQUEx.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "Polyp_PVT",
+  "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,
+  "output_select": "last"
+ }
+}

COVIDQUEx.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/Polyp_PVT",
+ "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+ "filename": "COVIDQUEx.pth",
+ "sha256": "ea65937eb06d500ffc3457dd30ccefb03260bdab04e1a45b62b9046c0caac822",
+ "size": 100592129,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "Polyp_PVT/covidquex/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "covidquex",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 83,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 113
+ },
+ "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": 25107604,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:40:31+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:40:31+00:00"
+}

DRIVE.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "Polyp_PVT",
+  "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,
+  "output_select": "last"
+ }
+}

DRIVE.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/Polyp_PVT",
+ "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+ "filename": "DRIVE.pth",
+ "sha256": "00f7e971b1f8e1b901165cf95c7e8ddda5b85fcc5f805260dfbc999eb563ea7e",
+ "size": 100592065,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "Polyp_PVT/DRIVE/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "DRIVE",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 83,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 240
+ },
+ "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": 25107604,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:40:34+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:40:34+00:00"
+}

ISIC2018.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "Polyp_PVT",
+  "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,
+  "output_select": "last"
+ }
+}

ISIC2018.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/Polyp_PVT",
+ "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+ "filename": "ISIC2018.pth",
+ "sha256": "d0cd7b455d7142d4310754a28f3f8c69e767ea4307f08f6991b1505d2598f29f",
+ "size": 100592065,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "Polyp_PVT/isic18/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "isic18",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 83,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 63
+ },
+ "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": 25107604,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:40:39+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:40:39+00:00"
+}

PROMISE12.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "Polyp_PVT",
+  "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,
+  "output_select": "last"
+ }
+}

PROMISE12.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/Polyp_PVT",
+ "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+ "filename": "PROMISE12.pth",
+ "sha256": "cdc037d1d2bf2269d0b4f4940d3bfa395d2b3214805824cd02089b74cd59f7fb",
+ "size": 100591652,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "Polyp_PVT/promise12/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "promise12",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 83,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 300
+ },
+ "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": 25107604,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:40:45+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:40:45+00:00"
+}

UWaterlooSkinCancer.pth.config.json

@@ -0,0 +1,31 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "Polyp_PVT",
+  "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,
+  "output_select": "last"
+ }
+}

UWaterlooSkinCancer.pth.provenance.json

@@ -0,0 +1,38 @@
+{
+ "schema": "medotter/hf-sidecars-provenance/v1",
+ "repo": "MedOtter/Polyp_PVT",
+ "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+ "filename": "UWaterlooSkinCancer.pth",
+ "sha256": "d18e6591bed7a82dcdb04075f2963012ec86a0a7c209d734867bae789f0d210d",
+ "size": 100591652,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "Polyp_PVT/uwaterlooskincancer/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "uwaterlooskincancer",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 1,
+  "model_id": 83,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 158
+ },
+ "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": 25107604,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T21:40:49+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T21:40:49+00:00"
+}