image_processing_common.py 文件源码

def distort_affine_cv2(image, alpha_affine=10, random_state=None):
    if random_state is None:
        random_state = np.random.RandomState(None)

    shape = image.shape
    shape_size = shape[:2]

    center_square = np.float32(shape_size) // 2
    square_size = min(shape_size) // 3
    pts1 = np.float32([
        center_square + square_size,
        [center_square[0] + square_size, center_square[1] - square_size],
        center_square - square_size])
    pts2 = pts1 + random_state.uniform(-alpha_affine, alpha_affine, size=pts1.shape).astype(np.float32)

    M = cv2.getAffineTransform(pts1, pts2)
    distorted_image = cv2.warpAffine(
        image, M, shape_size[::-1], borderMode=cv2.BORDER_REPLICATE) #cv2.BORDER_REFLECT_101)

    return distorted_image