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

Before Change

    elif level == 1:
        dst = iproc.jpeg(src, sampling_factor, quality1)
    elif level == 2:
        if np.random.uniform() > 0.5:
            src = iproc.jpeg(src, sampling_factor, quality1)
        dst = iproc.jpeg(src, sampling_factor, quality2)
    elif level == 3:
        if np.random.uniform() > 0.5:
            src = iproc.jpeg(src, sampling_factor, quality1)
        if np.random.uniform() > 0.5:
            src = iproc.jpeg(src, sampling_factor, quality2)

After Change

        // 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)

Instances