I am trying to use deepstream to detect and recognize faces using face-recognition · PyPI which uses Dlib.
The model files for face recognition using Dlib are :
dlib_face_recognition_resnet_model_v1.dat, mmod_human_face_detector.dat, shape_predictor_5_face_landmarks.dat, shape_predictor_68_face_landmarks.dat
I am trying to convert these into caffe, uff or onnx type for using with deepstream by setting in the configuration file.
For converting .dat files to any of these types, conversion to xml seems to be the first step.
However I don’t know the exact layers in the Dlib models are. Hence I can’t parse them properly. Can you suggest any alternate method?