raise AttributeError(name) from None AttributeError: _2D

[Dbulgin]

After running the following commands in Ubuntu

python3 inference.py --face examples/face/1.mp4 --audio examples/audio/1.wav --outfile results/1_1.mp4

it runs smoothly, until the following.

No CUDA runtime is found, using CUDA_HOME='/usr' /root/miniconda3/lib/python3.11/site-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional. warnings.warn(

[Info] Using cpu for inference. [Step 0] Number of frames available for inference: 135 [Step 1] Landmarks Extraction in Video. Traceback (most recent call last): File "/root/video-retalking/inference.py", line 345, in main() File "/root/video-retalking/inference.py", line 81, in main kp_extractor = KeypointExtractor() ^^^^^^^^^^^^^^^^^^^ File "/root/video-retalking/third_part/face3d/extract_kp_videos.py", line 16, in init self.detector = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/miniconda3/lib/python3.11/enum.py", line 783, in getattr raise AttributeError(name) from None AttributeError: _2D

[ziyantengrao]

the same issue

[tom20180101]

try face_alignment.LandmarksType._2D ---> face_alignment.LandmarksType.TWO_D

[hongyao945]

try face_alignment.LandmarksType._2D ---> face_alignment.LandmarksType.TWO_D

cooooool

[18321501248]

thx, the problem is solved.