reset

app.py

@@ -176,22 +176,34 @@ def detect_objects_batch(files, conf=0.25, iou=0.25):
 
     for f in files[:MAX_BATCH]:
         path = _ensure_path(f)
+        # Diagnostic: show resolved path and file info
         try:
-            # Diagnostic: show resolved path and file info
-            try:
-                exists = os.path.exists(path)
-                size = os.path.getsize(path) if exists else None
-            except Exception:
-                exists = False
-                size = None
-            print(f"[DETECT] resolved path={path!r}, exists={exists}, size={size}")
+            exists = os.path.exists(path)
+            size = os.path.getsize(path) if exists else None
         except Exception:
-            pass
+            exists = False
+            size = None
+        print(f"[DETECT] resolved path={path!r}, exists={exists}, size={size}")
+        # Try opening with PIL to ensure file is a readable image
+        try:
+            with Image.open(path) as _img:
+                print(f"[DETECT] PIL can open file: format={_img.format}, size={_img.size}")
+        except Exception as pil_e:
+            print(f"[DETECT] PIL failed to open file before predict: {pil_e}")
+
         try:
             results = ymodel.predict(source=path, conf=conf, iou=iou, imgsz=640, verbose=False)
         except Exception as e:
-            print(f"Detection failed for {path}:", e)
+            import traceback
+            print(f"[DETECT] Detection failed for {path}: {e}")
+            traceback.print_exc()
+            # Also print type/info about the model and source
+            try:
+                print(f"[DETECT] model type={type(ymodel)}, model_repr={repr(ymodel)[:200]}")
+            except Exception:
+                pass
             continue
+
         res = results[0]
 
         # annotated image