77b5596d0a032e2a3738a58c74832fa6fb6500e2,lib/pairwise_transform.py,,_noise,#Any#Any#Any#,11

Before Change

    quality0 = random.randint(85, 100)
    quality1 = random.randint(65, 90)
    quality2 = random.randint(45, 70)
    quality3 = random.randint(25, 50)
    if np.random.uniform() < chroma:
        // YUV 420
        sampling_factor = "2x2,1x1,1x1"
    if level == 0:

After Change

    elif level == 2 or level == 3:
        // for level 3, --nr_rate 1
        rand = np.random.uniform()
        if rand < 0.6:
            quality = random.randint(25, 70)
            dst = iproc.jpeg(src, sampling_factor, quality)
        elif rand < 0.9:
            quality0 = random.randint(35, 70)
            quality1 = random.randint(25, 65)
            dst = iproc.jpeg(src, sampling_factor, quality0)
            dst = iproc.jpeg(dst, sampling_factor, quality1)
        else:
            quality0 = random.randint(50, 70)
            quality1 = random.randint(35, 65)
            quality2 = random.randint(25, 55)
            dst = iproc.jpeg(src, sampling_factor, quality0)
            dst = iproc.jpeg(dst, sampling_factor, quality1)
            dst = iproc.jpeg(dst, sampling_factor, quality2)
    return dst


def noise(src, rate, level, chroma):

Instances