Use own face detection module

Hello, I want to use my own network for face detection, so I tried to pass face_detector=None to FaceAlignment class, but it gives me an error.

Is there any functionality to pass cropped faces or its bounding boxes to the get_landmarks method?

[rakadambi]

I got this to work. This is how one can do it. Thanks to @1adrianb for his patience with all my questions.

Method to use your own face detector.

1. Call FaceAlignment with face_detector = folder argument.
2. Detect all faces that you want from your face detector. Add the 5th value to each numpy array of 1 (confidence factor). Store them in a python list of numpy arrays.
3. Call get_landmarks(). The arguments should be the image absolute file path and the list of arrays that you got from step 2 above.

Done.

Notes: I don’t see folder_detector function being used at all.

[rakadambi]

From your newL, it looks like it is [x, y, w, h]

I checked my code. It should be [x, y, x+w, y+h, 1]. In other words, the width and height need to be replaced by actual coordinates.

Can you try that?