将设计人员创建的图形用户界面截图转换为计算机代码是开发人员为构建定制的软件,网站和移动应用程序而进行的一项典型任务。 在本文中,我们展示了深入的学习方法可以用于训练一个端对端的模型,以便从三个不同的平台(即iOS,Android和基于Web的)获得超过77%的准确度的单个输入图像中自动生成代码技术)。

pix2code: Generating Code from a Graphical User Interface Screenshot

Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites, and mobile applications. In this paper, we show that deep learning methods can be leveraged to train a model end-to-end to automatically generate code from a single input image with over 77% of accuracy for three different platforms (i.e. iOS, Android and web-based technologies).

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