Git Product home page Git Product logo

yolov7_ros's Introduction

yolov7-ros

Forked from official YOLOv7 repo. See here for more information on detection variables.

Getting Started

  1. Install NVIDIA GPU drivers and CUDA Toolkit
  2. Install requirements.txt
pip3 install -r requirements.txt
  1. Build package with catkin_make
  2. Launch camera node, output Image message to /camera/image topic.
  3. Run detector.py
rosrun yolov7_ros detector.py
  1. Stream should start and detections output to /detections topic as Detections message type.

Custom Message Types

Detections

Header header
yolov7_ros/Detection[] dets List of detections

Detections

string name Name of object
int8 conf Confidence of detection
int16[4] bbox Position of bounding box top-left and bottom-right [x1,x2, y1,y2].

yolov7_ros's People

Contributors

keithtjj avatar

Stargazers

 avatar  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.