Prinsphield/Wechat_AutoJump
Automated game-playing system for WeChat Jump using Tensorflow CNN models and OpenCV.

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This project implements an autonomous player for the WeChat Jump game using computer vision and deep learning. It detects the player character and target positions through multiscale search algorithms and a CNN-based coarse-to-fine localization model. The system connects to Android or iOS devices via USB to control the game by calculating and executing jump distances.