Update app.py

app.py

@@ -108,7 +108,7 @@ def preprocess_video_in(video_path):
         if os.path.splitext(p)[-1] in [".jpg", ".jpeg", ".JPG", ".JPEG"]
     ]
     scanned_frames.sort(key=lambda p: int(os.path.splitext(p)[0]))
-    print(f"SCANNED_FRAMES: {scanned_frames}")
+    # print(f"SCANNED_FRAMES: {scanned_frames}")
     
     return [
         first_frame,           # first_frame_path
@@ -234,13 +234,13 @@ def get_mask_sam_process(
     print("PREDICTOR READY")
 
     # `video_dir` a directory of JPEG frames with filenames like `<frame_index>.jpg`
-    print(f"STATE FRAME OUTPUT DIRECTORY: {video_frames_dir}")
+    # print(f"STATE FRAME OUTPUT DIRECTORY: {video_frames_dir}")
     video_dir = video_frames_dir
     
     # scan all the JPEG frame names in this directory
     frame_names = scanned_frames
 
-    print(f"STORED INFERENCE STEP: {stored_inference_state}")
+    # print(f"STORED INFERENCE STEP: {stored_inference_state}")
     if stored_inference_state is None:
         # Init SAM2 inference_state
         inference_state = predictor.init_state(video_path=video_dir)
@@ -398,7 +398,7 @@ def switch_working_frame(working_frame, scanned_frames, video_frames_dir):
 def reset_propagation(first_frame_path, predictor, stored_inference_state):
     
     predictor.reset_state(stored_inference_state)
-    print(f"RESET State: {stored_inference_state} ")
+    # print(f"RESET State: {stored_inference_state} ")
     return first_frame_path, gr.State([]), gr.State([]), gr.update(value=None, visible=False), stored_inference_state, None, ["frame_0.jpg"], first_frame_path, "frame_0.jpg", gr.update(visible=False)
     
 with gr.Blocks() as demo: