Giter VIP home page Giter VIP logo

trafficlightdetection's Introduction

TrafficLightDetection

Abstract

The code in this repository evaluates the adaption of tensorflow models to traffic light detection, as part of a self-driving-car project. The models were downloaded from the tensorflow model zoo, the test images are from the popular COCO dataset .

Installation

If not installed, install the following dependencies using pip or conda install:

  • tensorflow
  • numpy
  • matplotlib.pyplot
  • PIL
  • jupyter

Usage

  • Open a command line / batch
  • cd into the top level folder of this repository
  • enter "jupyter notebook"
  • run the notebook

trafficlightdetection's People

Contributors

fera0013 avatar

Watchers

James Cloos avatar Guilherme avatar

Forkers

hasnain2808

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.