from PIL import Image

def train_mapper(img_url):
    img = paddle.dataset.image.load_image(file=img_url)
    img = paddle.dataset.image.simple_transform(im=img, resize_size=100, crop_size=100, is_color=True, is_train=True)
    # img = img.flatten().astype('float32') / 255.0
    return img

img = train_mapper("images/face/jiangwen/18207c00-f929-11e8-bee9-005056c00008.jpg")
print(img.shape)
print(img)