debug

app.py

@@ -499,6 +499,8 @@ def propagate_masks(GLOBAL_STATE: gr.State):
     with torch.inference_mode():
         for frame_idx, frame in enumerate(GLOBAL_STATE.video_frames):
             pixel_values = None
+            print("inference_session.processed_frames", inference_session.processed_frames)
+            print("frame_idx", frame_idx)
             if inference_session.processed_frames is None or frame_idx not in inference_session.processed_frames:
                 pixel_values = processor(images=frame, device="cuda", return_tensors="pt").pixel_values[0]
             sam2_video_output = model(inference_session=inference_session, frame=pixel_values, frame_idx=frame_idx)