def __init__(self, crop_area_fraction=(0.08, 1.),
                 aspect_ratio_range=(0.75, 1.333),
                 target_shape=224, interp=cv2.INTER_LINEAR):
        """
        Args:
            crop_area_fraction (tuple(float)): Defaults to crop 8%-100% area.
            aspect_ratio_range (tuple(float)): Defaults to make aspect ratio in 3/4-4/3.
            target_shape (int): Defaults to 224, the standard ImageNet image shape.
        """
        super(GoogleNetRandomCropAndResize, self).__init__()
        self._init(locals())

        Args:
            crop_area_fraction (tuple(float)): Defaults to crop 8%-100% area.
            aspect_ratio_range (tuple(float)): Defaults to make aspect ratio in 3/4-4/3.
            target_shape (int): Defaults to 224, the standard ImageNet image shape.
        
tensorpack/dataflow/imgaug/crop.py