make sure tmp video path is exist

.gitignore

@@ -1 +1,3 @@
-*__pycache__
+*__pycache__
+gradio_cached_examples/
+tmp/

app.py

@@ -170,11 +170,22 @@ def image_to_3d(
             },
             mode=multiimage_algo,
         )
+    # video = render_utils.render_video(outputs['gaussian'][0], num_frames=120)['color']
+    # video_geo = render_utils.render_video(outputs['mesh'][0], num_frames=120)['normal']
+    # video = [np.concatenate([video[i], video_geo[i]], axis=1) for i in range(len(video))]
+    # video_path = os.path.join(user_dir, 'sample.mp4')
+    # imageio.mimsave(video_path, video, fps=15)
+    # state = pack_state(outputs['gaussian'][0], outputs['mesh'][0])
+    # torch.cuda.empty_cache()
+    # return state, video_path
     video = render_utils.render_video(outputs['gaussian'][0], num_frames=120)['color']
     video_geo = render_utils.render_video(outputs['mesh'][0], num_frames=120)['normal']
     video = [np.concatenate([video[i], video_geo[i]], axis=1) for i in range(len(video))]
+
     video_path = os.path.join(user_dir, 'sample.mp4')
+    os.makedirs(os.path.dirname(video_path), exist_ok=True)
     imageio.mimsave(video_path, video, fps=15)
+
     state = pack_state(outputs['gaussian'][0], outputs['mesh'][0])
     torch.cuda.empty_cache()
     return state, video_path