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wangshub/wechat_jump_game

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13,833 星标·4,245 分支·Python·Apache-2.0·13 次浏览zhuanlan.zhihu.com/p/32452473↗

Wechat Jump Game

This project is a Python-based game automation bot and computer vision assistant designed to automate gameplay on Android devices. It functions as a controller that identifies game elements via pixel color scanning and simulates touch inputs to execute gameplay without manual intervention.

The system distinguishes itself through the use of anti-detection measures, implementing interaction coordinate management and timing offsets to avoid being flagged by security systems. It also employs resolution-dependent scaling coefficients to maintain jump accuracy across different device screen sizes.

The automation suite covers real-time screen capture, computer vision-based state analysis, and mathematical jump distance calculations to determine required press durations. It includes debugging tools that save annotated screenshots to visualize detected coordinates and calculated paths.

Features

  • Game Automation Bots - Implements a bot that reads game state and executes optimal actions without manual intervention.
  • Mobile Game Automation Tools - Uses computer vision and input simulation to automate gameplay on mobile devices.
  • Computer Vision - Applies computer vision techniques to identify game elements and calculate precise movement coordinates.
  • Computer Vision Libraries - Utilizes pixel color scanning and image processing to identify game elements and their coordinates.
  • Game Element Detection - Identifies coordinates of the player piece and target board by scanning pixel colors.
  • Visual Game State Analysis - Analyzes screen pixels to determine the current coordinates of the player and destination.
  • Pixel Analyzers - Analyzes pixel-level color data to identify and locate game objects on the screen.
  • Screen Capture Tools - Captures real-time snapshots of the mobile screen for immediate visual analysis.
  • Sequential Gameplay Automators - Executes a programmed series of jumps via configuration files to automate game sessions.
  • Input Gesture Simulations - Simulates precise press durations to trigger specific jump mechanics within the game engine.
  • Display Screenshot Capture - Captures real-time screenshots of the device display to analyze game state and object positions.
  • Mobile Device Control Utilities - Provides command-line utilities for remote interaction and input execution on mobile hardware via ADB.
  • Euclidean Distance Calculators - Calculates the precise distance between the game piece and target to determine required jump power.
  • Input Power Calculators - Determines the necessary jump power by analyzing the spatial relationship between starting and target points.
  • Input Timing Calculators - Computes the required press duration based on the distance between the player and target coordinates.
  • Anti-Detection Strategies - The project implements measures to avoid being flagged by service providers during automated gameplay to prevent account bans.
  • Automated Gameplay Controllers - Analyzes screen data to calculate the optimal jump distances and timings for the bot.
  • Input Device Emulators - Emulates physical input devices to inject touch and swipe events into the Android system stream.
  • Coordinate-Based Interactions - Determines precise pixel coordinates for interaction buttons to simulate user touches on the screen.
  • Element Positioning Utilities - Calculates the center points of detected shapes to identify precise pixel positions of game elements.
  • Bot Detection Evasion - Implements interaction coordinate management and timing offsets to avoid being flagged as a bot.
  • Gameplay Macro Engines - Runs scripted sequences of timed inputs based on real-time visual analysis of the game.
  • Resolution Scaling Coefficients - Uses resolution-dependent scaling coefficients to ensure jump accuracy across various device screen sizes.
  • Euclidean Distance Calculators - Implements Euclidean distance calculations to determine the required jump power between game elements.
  • Anti-Bot Evasion - Implements input timing and coordinate offsets to evade detection systems and prevent account bans.

Star 历史

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常见问题解答

wangshub/wechat_jump_game 是做什么的?

This project is a Python-based game automation bot and computer vision assistant designed to automate gameplay on Android devices. It functions as a controller that identifies game elements via pixel color scanning and simulates touch inputs to execute gameplay without manual intervention.

wangshub/wechat_jump_game 的主要功能有哪些?

wangshub/wechat_jump_game 的主要功能包括:Game Automation Bots, Mobile Game Automation Tools, Computer Vision, Computer Vision Libraries, Game Element Detection, Visual Game State Analysis, Pixel Analyzers, Screen Capture Tools。

wangshub/wechat_jump_game 有哪些开源替代品?

wangshub/wechat_jump_game 的开源替代品包括: lmeszinc/azurlaneautoscript — AzurLaneAutoScript is a mobile game automation system designed to perform repetitive gameplay tasks unattended. It… babalae/better-genshin-impact — Better Genshin Impact is a computer vision-based automation framework designed to perform repetitive tasks and combat… ok-oldking/ok-wuthering-waves — This is an open-source automation tool for the game Wuthering Waves that uses image recognition to control gameplay… opencv/opencv-python — This project is a Python wrapper for the OpenCV computer vision library, providing a bridge that exposes… runhey/onmyojiautoscript — OnmyojiAutoScript is an ADB-based Android game automation tool that utilizes image recognition to automate daily… mobile-next/mobile-mcp — This project is a Model Context Protocol server and automation framework designed to control and automate iOS and…