Update app

app.py

@@ -379,7 +379,6 @@ def load_rgb_masked_frames(input_frames, kp_dict, stride=1, window_frames=25, wi
 
 		img = input_frames[i]
 		face = frame_kp_dict["face"]
-		# print(face.shape)
 
 		if face is None:
 			img = cv2.resize(img, (width, height))
@@ -399,7 +398,6 @@ def load_rgb_masked_frames(input_frames, kp_dict, stride=1, window_frames=25, wi
 		if masked_img.shape[0] != width or masked_img.shape[1] != height:
 			masked_img = cv2.resize(masked_img, (width, height))
 
-		print(masked_img.shape)
 		input_frames_masked.append(masked_img)
 
 	orig_masked_frames = np.array(input_frames_masked)
@@ -719,6 +717,7 @@ def process_video(video_path, num_avg_frames, apply_preprocess):
 		rgb_frames, num_frames, orig_masked_frames, status = load_rgb_masked_frames(frames, kp_dict, window_frames=25, width=480, height=270)
 		if status != "success":
 			return status, None
+		print("Successfully loaded the RGB frames")
 
 		# Convert frames to tensor
 		rgb_frames = np.transpose(rgb_frames, (4, 0, 1, 2, 3))