pretrained machine learning models

large binary files corresponding to face detection, facial landmark detection, and SVM-based gender classification are provided within the release

*** shape_predictor_68_face_landmarks.dat ***
Face landmarks prediction
http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2

*** opencv_face_detector_uint8.pb ***
Face detection
ttps://raw.githubusercontent.com/opencv/opencv_3rdparty/dnn_samples_face_detector_20180220_uint8/opencv_face_detector_uint8.pb

*** opencv_face_detector.pbtxt ***
Face detection
https://github.com/opencv/opencv/blob/4eb296655958e9241f43a7bd144d5e63759f6cea/samples/dnn/face_detector/opencv_face_detector.pbtxt

*** libfacedetection-yunet.onnx ***
Face and landmark detection provided in libfacedetection (BSD license)
https://github.com/ShiqiYu/libfacedetection
Model download from https://github.com/ShiqiYu/libfacedetection.train/blob/master/tasks/task1/onnx/yunet.onnx

*** svm_ytf_zrezgui.hdf5 ***
Gender classification from face neural representation
This linear SVM was trained by Zohra Rezgui for the purpose of this project. Training details & evaluations can be found in her internship report:
Zohra Rezgui, Détection et classification de visages pour la description de l’égalité femme-homme dans les archives télévisuelles, 2019/11/19