GithubHelp home page GithubHelp logo

maybeee18 / traffic-count-and-segmentation Goto Github PK

View Code? Open in Web Editor NEW

This project forked from vbrodrigues/traffic-count-and-segmentation

0.0 0.0 0.0 1.49 MB

Using PyTorch to detect and localize vehicles in an image and count the traffic.

Python 100.00%

traffic-count-and-segmentation's Introduction

Vehicle Detection and Segmentation for Traffic Count

Using PyTorch to detect and localize vehicles in an image and count the traffic.

Utilized the pre-trained model from torchvision of Mask R-CNN.

Dependencies:

● torch - version 1.1

● torchvision - version 0.3

● matplotlib

● numpy

● cv2

Examples

Example 1 Example 2

How to run

Inside the script "Traffic Count and Segmentation- PyTorch.py", add your image path to the function call on the last line of code.

traffic-count-and-segmentation's People

Contributors

vbrodrigues avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.