Add one training sample to the trainer

success = obj.addTrainingSample(img, landmarks)

Input

• img Input image.
• landmarks The ground-truth of facial landmarks points corresponds to the image {[x,y], ...}.

Output

• success success flag.

In the case of LBF, this function internally calls the face detector function, so you will need to either pass the option CascadeFace to use the default detector, or set a custom function in cv.Facemark.setFaceDetector