Mastering OpenCV 4 with Python

Face detection with dlib

You can use dlib.get_frontal_face_detector() to create a frontal face detector, which is based on Histogram of Oriented Gradients (HOG) features and a linear classifier in a sliding window detection approach. In particular, the HOG trainer uses a structural SVM-based training algorithm that enables the trainer to train in all the sub-windows in every training image. This face detector has been trained using 3,000 images from the Labeled Faces in the Wild (http://vis-www.cs.umass.edu/lfw/) dataset. It should be noted that this detector can also be used to spot objects other than faces. You can check out the train_object_detector.py script, which is included in the dlib library (http://dlib.net/train_object_detector.py.html ...