Difference between revisions of "DSL Encoding"

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==Approach==
 
==Approach==
Currently, I am thinking about using one-hot vector to encode the structure of a DSL page. The author of the [http://www.edegan.com/wiki/Pix2code pix2code] project also had the same approach. However, the preprocessing part was not discussed carefully in the paper and the source code was not commented properly. This [https://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/ article] gives a more detailed instruction for the embedding method. For our project, we can ignore the image-preprocessing part and focus solely on the text processing.
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Currently, I am thinking about using one-hot vector to encode the structure of a DSL page. The author of the [http://www.edegan.com/wiki/Pix2code pix2code] project also had the same approach. However, the preprocessing part was not discussed carefully in the paper and the source code was not commented properly. This [https://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/ article] gives a more detailed instruction for the embedding method. For our project, we can ignore the image-preprocessing part and focus solely on the text processing. The associated github page can be found [https://github.com/emilwallner/Screenshot-to-code/blob/master/README.md here]
  
 
==File and scripts==
 
==File and scripts==

Revision as of 14:05, 29 April 2019


Project
DSL Encoding
Project logo 02.png
Project Information
Has title DSL Encoding
Has owner Hiep Nguyen
Has start date 2019/04/26
Has deadline date
Has project status Active
Copyright © 2019 edegan.com. All Rights Reserved.


Approach

Currently, I am thinking about using one-hot vector to encode the structure of a DSL page. The author of the pix2code project also had the same approach. However, the preprocessing part was not discussed carefully in the paper and the source code was not commented properly. This article gives a more detailed instruction for the embedding method. For our project, we can ignore the image-preprocessing part and focus solely on the text processing. The associated github page can be found here

File and scripts

The current scripts that I wrote by following pix2code source code are living on

E:/projects/embedding

So far, I have been experimenting with only one DSL file, which is '00CDC9A8-3D73-4291-90EF-49178E408797.gui'. To see the current output (not yet one-hot), write

python convert_gui.py