I'm doing preparation using dlib and avhubert/preparation
First I installed dlib via "yum install" and then downloaded python_examples in dlib github page.
I run python3 detect_landmark.py --root ../LRS3 --landmark ../LRS3/landmark --manifest ../LRS3/file.list.org --cnn_detector ../dlib/python_examples/cnn_face_detector.py --face_predictor ../dlib/python_examples/face_detector.py --ffmpeg /bin/ffmpeg --rank 1 --nshard 2
Then,
I got the following error message,
Traceback (most recent call last):
File "detect_landmark.py", line 72, in
detect_face_landmarks(args.face_predictor, args.cnn_detector, args.root, args.landmark, args.manifest, args.rank, args.nshard)
File "detect_landmark.py", line 34, in detect_face_landmarks
cnn_detector = dlib.cnn_face_detection_model_v1(cnn_detector_path)
RuntimeError: An error occurred while trying to read the first object from the file '/home/dsh/dlib/python_examples/cnn_face_detector.py'.
ERROR: Unexpected version found while deserializing dlib::add_loss_layer.
Hi.
I'm doing preparation using dlib and avhubert/preparation First I installed dlib via "yum install" and then downloaded python_examples in dlib github page.
I run python3 detect_landmark.py --root ../LRS3 --landmark ../LRS3/landmark --manifest ../LRS3/file.list.org --cnn_detector ../dlib/python_examples/cnn_face_detector.py --face_predictor ../dlib/python_examples/face_detector.py --ffmpeg /bin/ffmpeg --rank 1 --nshard 2
Then, I got the following error message,
Traceback (most recent call last): File "detect_landmark.py", line 72, in
detect_face_landmarks(args.face_predictor, args.cnn_detector, args.root, args.landmark, args.manifest, args.rank, args.nshard)
File "detect_landmark.py", line 34, in detect_face_landmarks
cnn_detector = dlib.cnn_face_detection_model_v1(cnn_detector_path)
RuntimeError: An error occurred while trying to read the first object from the file '/home/dsh/dlib/python_examples/cnn_face_detector.py'.
ERROR: Unexpected version found while deserializing dlib::add_loss_layer.
How can I solve the problem? Please help.
Thank you.