adding depth visualization

gradio_app.py

@@ -47,7 +47,7 @@ def visualize_depth_npy_as_video(npy_file):
     out = cv2.VideoWriter(video_path, fourcc, 10, (W, H))  # 10 FPS
 
     for i in range(T):
-        frame = cropped[i, 0].numpy()
+        frame = tensor[i, 0].numpy()
         norm = (frame - frame.min()) / (frame.max() - frame.min() + 1e-8)
         frame_uint8 = (norm * 255).astype(np.uint8)
         colored = cv2.applyColorMap(frame_uint8, cv2.COLORMAP_INFERNO)