feat: Conditionally lower detection threshold and add debug logging for threshold changes and input image statistics.

SMPL/smpl_regressor.py

@@ -60,6 +60,14 @@ class SMPL_Regressor:
     def create_bev_model(self,fix_body=False):
         settings = bev.main.default_settings
         settings.mode = 'video'
+        
+        # Attempt to lower detection threshold
+        if hasattr(settings, 'center_thresh'):
+             print(f"DEBUG: Lowering center_thresh from {settings.center_thresh} to 0.02", flush=True)
+             settings.center_thresh = 0.02
+        else:
+             print("DEBUG: settings has no center_thresh. Available:", dir(settings), flush=True)
+             
         bev_model = MyBEV(settings,fix_body=fix_body)
         return bev_model
 

app.py

@@ -238,7 +238,10 @@ def process_frame(image, garment_name, enable_tryon):
              print("Error: Frame processor is None inside process_frame")
              return image
              
-        # print("Running inference...", flush=True) # Uncomment for spammy logs
+        # Debug Image Stats
+        h, w, c = img_bgr.shape
+        print(f"Inference Input - Shape: {h}x{w}, Mean: {img_bgr.mean():.2f}, Max: {img_bgr.max()}", flush=True)
+        
         output_bgr = frame_processor(img_bgr)
         
         if output_bgr is None: