aa4f363748a99758179d16928b5a9afa2443d31e,albumentations/augmentations/functional.py,,longest_max_size,#Any#Any#Any#,261

Before Change

    scale = longest_max_size / float(max(width, height))

    if scale != 1.0:
        out_size = tuple(int(dim * scale) for dim in (width, height))
        img = cv2.resize(img, out_size, interpolation=interpolation)
    return img


def median_blur(img, ksize):
    if img.dtype == np.float32 and ksize not in {3, 5}:

After Change

def longest_max_size(img, max_size, interpolation):
    return _func_max_size(img, max_size, interpolation, max)


def smallest_max_size(img, max_size, interpolation):
    return _func_max_size(img, max_size, interpolation, min)

Instances