def resize_clip()

in utils/videotransforms/functional.py [0:0]

• 37 lines of code
• 17 McCabe index (conditional complexity)

def resize_clip(clip, size, interpolation='bilinear'):
    if isinstance(clip[0], np.ndarray):
        if isinstance(size, numbers.Number):
            im_h, im_w, im_c = clip[0].shape
            # Min spatial dim already matches minimal size
            if (im_w <= im_h and im_w == size) or (im_h <= im_w
                                                   and im_h == size):
                return clip
            new_h, new_w = get_resize_sizes(im_h, im_w, size)
            size = (new_w, new_h)
        else:
            size = size[1], size[0]
        if interpolation == 'bilinear':
            np_inter = cv2.INTER_LINEAR
        else:
            np_inter = cv2.INTER_NEAREST
        scaled = [
            cv2.resize(img, size, interpolation=np_inter) for img in clip
        ]
    elif isinstance(clip[0], PIL.Image.Image):
        if isinstance(size, numbers.Number):
            im_w, im_h = clip[0].size
            # Min spatial dim already matches minimal size
            if (im_w <= im_h and im_w == size) or (im_h <= im_w
                                                   and im_h == size):
                return clip
            new_h, new_w = get_resize_sizes(im_h, im_w, size)
            size = (new_w, new_h)
        else:
            size = size[1], size[0]
        if interpolation == 'bilinear':
            pil_inter = PIL.Image.NEAREST
        else:
            pil_inter = PIL.Image.BILINEAR
        scaled = [img.resize(size, pil_inter) for img in clip]
    else:
        raise TypeError('Expected numpy.ndarray or PIL.Image' +
                        'but got list of {0}'.format(type(clip[0])))
    return scaled