将設計人員建立的圖形使用者界面截圖轉換為計算機代碼是開發人員為建構定制的軟體,網站和移動應用程式而進行的一項典型任務。 在本文中,我們展示了深入的學習方法可以用于訓練一個端對端的模型,以便從三個不同的平台(即iOS,Android和基于Web的)獲得超過77%的準确度的單個輸入圖像中自動生成代碼技術)。
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).
項目位址:
https://github.com/tonybeltramelli/pix2code視訊位址:
https://news.developer.nvidia.com/ai-turns-ui-designs-into-code/更多機器學習教程:
http://www.tensorflownews.com/