import os

from paddlehub import Module
from paddlehub.module.module import moduleinfo, serving

from UGATIT_100w.model import Model
from UGATIT_100w.processor import base64_to_cv2, cv2_to_base64, Processor


@moduleinfo(
    name="UGATIT_100w",  # 模型名称
    type="CV/style_transfer",  # 模型类型
    author="jm12138",  # 作者名称
    author_email="jm12138@qq.com",  # 作者邮箱
    summary="UGATIT_100w",  # 模型介绍
    version="1.0.0"  # 版本号
)
class UGATIT_100w(Module):
    # 初始化函数
    def _initialize(self, use_gpu=False):
        # 设置模型路径
        self.model_path = os.path.join(self.directory, "UGATIT_100w")

        # 加载模型
        self.model = Model(self.model_path, use_gpu)

    # 关键点检测函数
    def style_transfer(self, images=None, paths=None, batch_size=1, output_dir='output', visualization=False):
        # 加载数据处理器
        processor = Processor(images, paths, output_dir, batch_size)

        # 模型预测
        outputs = self.model.predict(processor.input_datas)

        # 结果后处理
        results = processor.postprocess(outputs, visualization)

        # 返回结果
        return results

    # Hub Serving
    @serving
    def serving_method(self, images, **kwargs):
        # 获取输入数据
        images_decode = [base64_to_cv2(image) for image in images]

        # 图片风格转换
        results = self.style_transfer(images_decode, **kwargs)

        # 对输出图片进行编码
        encodes = []
        for result in results:
            encode = cv2_to_base64(result)
            encodes.append(encode)

        # 返回结果
        return encodes
