simplified_image_classifier.py 文件源码

def _image_transform(x, transforms):
    from skimage.transform import rotate
    for t in transforms:
        if t['name'] == 'rotate':
            angle = np.random.random() * (
                t['u_angle'] - t['l_angle']) + t['l_angle']
            rotate(x, angle, preserve_range=True)
    return x