Update multiple files (#134)

* update file

* update files

* Add type ignore for bbox tuple conversion

Silence static type checker complaints by adding a '# type: ignore' comment when converting status.bbox to a tuple of floats. This does not change runtime behavior—only suppresses type errors for the bbox conversion.

---------

Co-authored-by: jerinpeter <jerinpeter@gmail.com>

Author: openminddev

src/om1_vlm/anonymizationSys/face_recog_stream/run.py

@@ -261,12 +261,12 @@ def main() -> None:
     logger.info("Starting realtime_stream...")
 
     script_dir = os.path.dirname(os.path.abspath(__file__))
-    models_dir = os.path.join(script_dir, "..", "engine")
+    models_dir = os.path.join(script_dir, "..", "engines")
 
     platform_prefix = get_platform_prefix()
     scrfd_name = f"{platform_prefix}_scrfd_10g.engine"
     arc_name = f"{platform_prefix}_adaface_ir101.engine"
-    pose_name = "yolo11s-pose.engine"
+    pose_name = f"{platform_prefix}_yolo11s-pose.engine"
 
     default_scrfd_engine = os.path.join(models_dir, scrfd_name)
     default_arc_engine = os.path.join(models_dir, arc_name)

src/om1_vlm/anonymizationSys/face_recog_stream/who_tracker.py

@@ -27,6 +27,13 @@ class FallInfo:
 
     identity: Optional[str]  # Matched face name or None
     is_fallen: bool
+    bbox: Tuple[float, float, float, float] = (
+        0.0,
+        0.0,
+        0.0,
+        0.0,
+    )  # x1, y1, x2, y2 (pose bbox = full body)
+    confidence: float = 0.0  # Fall detection confidence (0-1)
 
 
 def _expand_bbox(bbox, margin: float):
@@ -113,6 +120,8 @@ def match_falls_to_faces(
             FallInfo(
                 identity=matched_identity,
                 is_fallen=status.is_fallen,
+                bbox=tuple(float(x) for x in status.bbox),  # type: ignore
+                confidence=float(status.confidence),
             )
         )
 
@@ -312,9 +321,18 @@ def is_named(x: str) -> bool:
 
         # ----- Fall detection (unchanged) -----
         fallen_now: List[str] = []
+        fallen_now_details: List[Dict] = (
+            []
+        )  # name + bbox + confidence per fallen person
         fallen_unknown_now = 0
         for fall in now_falls:
             if fall.is_fallen:
+                detail = {
+                    "name": fall.identity if fall.identity else "unknown",
+                    "bbox": list(fall.bbox),
+                    "confidence": float(fall.confidence),
+                }
+                fallen_now_details.append(detail)
                 if fall.identity and fall.identity != "unknown":
                     if fall.identity not in fallen_now:
                         fallen_now.append(fall.identity)
@@ -360,6 +378,7 @@ def is_named(x: str) -> bool:
             "unknown_recent": int(unknown_recent_peak),
             # Fall detection (unchanged)
             "fallen_now": fallen_now,
+            "fallen_now_details": fallen_now_details,
             "fallen_now_count": len(fallen_now) + fallen_unknown_now,
             "fallen_unknown_now": fallen_unknown_now,
             "fallen_recent": fallen_recent,