Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Performing face recognition with Eigenfaces

Now that we have an array of training images and an array of their labels, we can create and train a face recognizer with just two more lines of code:

model = cv2.face.EigenFaceRecognizer_create()model.train(training_images, training_labels)

What have we done here? We created the Eigenfaces face recognizer with OpenCV's cv2.EigenFaceRecognizer_create function, and we trained the recognizer by passing the arrays of images and labels (numeric IDs). Optionally, we could have passed two arguments to cv2.EigenFaceRecognizer_create:

• num_components: This is the number of components to keep for the PCA.
• threshold: This is a floating-point value specifying a confidence threshold. Faces with a confidence ...