Giter Club home page Giter Club logo

face-detection-using-opencv's Introduction

Face-detection-using-OpenCV

Below Python packages are to be downloaded and installed to their default locations.

1.1. Python-2.7.x.

1.2. Numpy.

1.3. Matplotlib (Matplotlib is optional, but recommended since we use it a lot in our tutorials).

Install all packages into their default locations. Python will be installed to C:/Python27/.

After installation, open Python IDLE. Enter import numpy and make sure Numpy is working fine.

Download latest OpenCV release from sourceforge site and double-click to extract it.

Goto opencv/build/python/2.7 folder.

Copy cv2.pyd to C:/Python27/lib/site-packeges.

Open Python IDLE and type following codes in Python terminal.

face-detection-using-opencv's People

Contributors

vinaysomawat avatar

Watchers

James Cloos avatar 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.