retinaface人脸对齐

 

https://github.com/foamliu/MobileFaceNet-PyTorch

 

def align_face(sample):
    facial5points = sample['landmarks']
    raw = sample['img']


    facial5points = np.reshape(facial5points, (2, 5))

    crop_size = (image_h, image_w)

    default_square = True
    inner_padding_factor = 0.25
    outer_padding = (0, 0)
    output_size = (image_h, image_w)

    # get the reference 5 landmarks position in the crop settings
    reference_5pts = get_reference_facial_points(
        output_size, inner_padding_factor, outer_padding, default_square)

    # dst_img = warp_and_crop_face(raw, facial5points)
    dst_img = warp_and_crop_face(raw, facial5points, reference_pts=reference_5pts, crop_size=crop_size)
    return dst_img

 

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