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

BUSI.pth.config.json

@@ -0,0 +1,30 @@
+{
+ "schema": "medotter/model-sidecar/v1",
+ "model": {
+  "name": "CPCANet",
+  "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/CPCANet",
+ "revision": "41e94fb0d672716090feb4a20ad22cb63aa51395",
+ "filename": "BUSI.pth",
+ "sha256": "72e2013faaee0117f4d043fe194f171ceb3845fdc0e0d24188a461a28879011e",
+ "size": 175594047,
+ "upstream": {
+  "repo": "FengheTan9/U-Bench",
+  "path": "CPCANet/busi/checkpoint_best.pth",
+  "sha256_match": true
+ },
+ "training": {
+  "dataset_name": "busi",
+  "img_size": 256,
+  "max_epochs": 300,
+  "do_deeps": 0,
+  "model_id": 27,
+  "seed": 41,
+  "base_lr": 0.01,
+  "batch_size": 8,
+  "epoch": 140
+ },
+ "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": 43798905,
+  "intensity_overridden_for_probe": [],
+  "verified_at": "2026-09-06T15:06:26+00:00"
+ },
+ "generator": "tools/hf_sidecars.py",
+ "generated_at": "2026-09-06T15:06:26+00:00"
+}