Honlan / Wechat_jump_tensorflow
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深度学习 - 微信跳一跳
2018.01.14更新
simple目录下增加了simple.js，思路同simple.py，使用JavaScript编写，在安卓上安装Auto.js之后运行该脚本即可，好处是直接在手机上运行，不需要连电脑
2018.01.05更新
标注数据增加到1200张图片，并且用更准的faster_rcnn_inception_v2_coco模型重新训练了一遍
项目介绍
知乎文章：https://zhuanlan.zhihu.com/p/32553763
所需环境
-
Python3.6、OpenCV2、TensorFlow等 -
adb，用于调试安卓手机，参考https://github.com/wangshub/wechat_jump_game
文件介绍
simple目录中的simple.py使用OpenCV2检测棋子和目标块的位置，简单粗暴，simple_ios.py是对应的IOS版本
tensorflow目录包括以下文件：
-
wechat_jump_label_map.pbtxt：物体类别映射文件； -
utils：提供辅助功能的文件； -
frozen_inference_graph_frcnn_inception_v2_coco.pb：训练好的物体检测模型，共1200张标注数据，使用faster_rcnn_inception_v2_coco训练； -
wechat_auto_jump.py：自动跳一跳的代码
label.zip提供了标注的工具，使用labelImg进行物体检测标注，使用方法可以参考物体检测标注说明.pdf
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