GithubHelp home page GithubHelp logo

warthundercv's Introduction

Description

This is a simple project that uses OpenCV to detect tanks in War Thunder. It gets a performance of
~142 fps on a videocard with 16 Gb VRAM. It also has an auto aiming mode , basically aimbot.

Building

  1. Install darknet and other dependencies using steps at https://github.com/hank-ai/darknet
  2. To use the gpu you need to download cuda wheels from https://github.com/cudawarped/opencv_contrib/releases version 4.10.0 >> OpenCV (Release and Debug builds including python bindings and docs) built with VS2022 against CUDA 12.5., Nvidia Video Codec SDK 12.2 and cuDNN 9.2.0.
  3. After all these steps you can build the .sln file
  4. You will also need the models to run the project

Screenshots:

detection at distance aimbot

warthundercv's People

Contributors

soyuznik avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.