Add model sidecars: ACDC.pth.config.json, ACDC.pth.provenance.json (tools/hf_sidecars.py)

ACDC.pth.config.json

@@ -0,0 +1,17 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "name": "PraNet",
+    "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/PraNet",
+ "revision": "37b8705d9b4b1bb3847d3ac97de3c36e47e6094e",
+ "filename": "ACDC.pth",
+ "sha256": "2185a8a77a9b26498f437e529a9b2cc7b91623177652676f02a8d97407c8fc3a",
+ "size": 209233339,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "PraNet/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": 39,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 300,
+  "best_performance": 0.9109794453797709
+ },
+ "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": 52059435,
+  "intensity_overridden_for_probe": [
+   "input_scale",
+   "normalize"
+  ],
+  "verified_at": "2026-09-08T06:25:16+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-08T06:25:16+00:00"
+}