scorevision: push artifact

miner.py

@@ -1,19 +1,20 @@
 """
-Score Vision SN44 — Unified miner v3 (2026-03-31).
-Dual-model: vehicle (YOLO11m INT8 1280) + person (YOLO11s INT8 640).
+Score Vision SN44 — Unified miner v3.5 (2026-04-02).
+Dual-model: vehicle (YOLO11m INT8 1280) + person (YOLO26s FP16 960 end2end).
 Vehicle weights loaded from secondary HF repo (meaculpitt/ScoreVision-Vehicle).
 Person weights loaded from primary HF repo (template downloads automatically).
 
 Vehicle model (vehicle_weights.onnx):
   Trained classes: 0=car, 1=bus, 2=truck, 3=motorcycle
-  Remapped to manifest: 0=bus, 1=car, 2=truck, 3=motorcycle
+  Remapped to output: 1=car, 4=bus(filtered), 2=truck, 3=motorcycle
+  Bus remapped to cls_id=4 to avoid collision with person cls_id=0.
 
 Person model (person_weights.onnx):
-  Single class: 0=person
+  YOLO26s FP16 960px end2end [1,300,6]. Single class: 0=person.
 
 Both models run on every image. All detections merged.
-cls_id 0 is shared: "bus" for vehicle eval, "person" for person eval.
-Vehicle eval uses cls_id 0-3. Person eval uses cls_id 0 only.
+Vehicle cls_id=4 (bus) filtered by validator (out of range for both elements).
+Vehicle eval uses cls_id 1-3. Person eval uses cls_id 0 only.
 """
 
 import os
@@ -161,7 +162,7 @@ from concurrent.futures import ThreadPoolExecutor, as_completed
 logger = logging.getLogger(__name__)
 
 # ── Vehicle config ──────────────────────────────────────────────────────────
-VEH_MODEL_TO_OUT: dict[int, int] = {0: 1, 1: 0, 2: 2, 3: 3}
+VEH_MODEL_TO_OUT: dict[int, int] = {0: 1, 1: 4, 2: 2, 3: 3}  # bus→4 (avoid person cls_id=0 collision)
 VEH_NUM_CLASSES = 4
 VEH_CONF_THRES = 0.35
 VEH_TTA_CONF = 0.10

person_weights.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aa6c46dca9dc995b8a641674e8f760b80d9af067bf2874e16a6addfd77a387bf
-size 10042378
+oid sha256:b23ca9c0a7efd6613753b66033d7c6637b338a79547562687d5e58ba5fb92d7c
+size 19258183