97aeda2a947c44cdef91d9276c2c38c02f37cda1,lib/pairwise_transform.py,,noise_scale,#,62

Before Change

    dst.resize(w // 2, h // 2, filters[rand], blur)
    if np.random.uniform() < rate:
        dst = _noise(dst, level, chroma)
    dst.resize(w, h, "box")
    return wand_to_array(dst)


def crop_if_large(src, max_size):

After Change

    filters = ("box", "lanczos")
    blur = np.random.uniform(bmin, bmax)
    rand = random.randint(0, len(filters)-1)
    with iproc.array_to_wand(src) as tmp:
        tmp.resize(w // 2, h // 2, filters[rand], blur)
        if np.random.uniform() < rate:
            tmp = _noise(tmp, level, chroma)
        tmp.resize(w, h, "box")
        dst = iproc.wand_to_array(tmp)
    return dst


def crop_if_large(src, max_size):

Instances