floodsung/wechat_jump_end_to_end floodsung/wechat_jump_end_to_end

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    star
    180
  • Rank 213,097 (Top 5 %)
  • Language
    Python
  • License
    MIT License
  • Created almost 7 years ago
  • Updated almost 7 years ago
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floodsung/wechat_jump_end_to_end
github

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Repository Details

Playing Wechat Jump Game with End-to-End Convolutional Neural Networks

Wechat_Jump_End_to_End

Prerequisite

pytorch

How to use it

Connect your iPhone or Android to your computer, follow this guide:

Android and iOS connection guide

Then:

python run_ios.py

or 

python run_android.py

Note

The code is tested on iPhone 6s and Xiaomi Note3.

Due to different screen pixels on different phones, you have to adjust SCALE value in the code so as to run successfully on your device.

Just adjust SCALE value in [0.9,1.1].

Have Fun!

About Training

If you are interested in how to train this model, please check this git: wechat_jump_end_to_end_train

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