def policy_v3():
    """"Additional policy that performs well on object detection."""
    # Each tuple is an augmentation operation of the form
    # (operation, probability, magnitude). Each element in policy is a
    # sub-policy that will be applied sequentially on the image.
    policy = [
        [('Posterize', 0.8, 2), ('TranslateX_BBox', 1.0, 8)],
        [('BBox_Cutout', 0.2, 10), ('Sharpness', 1.0, 8)],
        [('Rotate_BBox', 0.6, 8), ('Rotate_BBox', 0.8, 10)],
        [('Equalize', 0.8, 10), ('AutoContrast', 0.2, 10)],
        [('SolarizeAdd', 0.2, 2), ('TranslateY_BBox', 0.2, 8)],
        [('Sharpness', 0.0, 2), ('Color', 0.4, 8)],
        [('Equalize', 1.0, 8), ('TranslateY_BBox', 1.0, 8)],
        [('Posterize', 0.6, 2), ('Rotate_BBox', 0.0, 10)],
        [('AutoContrast', 0.6, 0), ('Rotate_BBox', 1.0, 6)],
        [('Equalize', 0.0, 4), ('Cutout', 0.8, 10)],
        [('Brightness', 1.0, 2), ('TranslateY_BBox', 1.0, 6)],
        [('Contrast', 0.0, 2), ('ShearY_BBox', 0.8, 0)],
        [('AutoContrast', 0.8, 10), ('Contrast', 0.2, 10)],
        [('Rotate_BBox', 1.0, 10), ('Cutout', 1.0, 10)],
        [('SolarizeAdd', 0.8, 6), ('Equalize', 0.8, 8)],
    ]
    return policy
"Additional policy that performs well on object detection.
ppdet/data/transform/autoaugment_utils.py