Giter VIP home page Giter VIP logo

ofxopencvdnnsegmentation's Introduction

ofxOpenCvDnnSegmentation

Description

ofxOpenCvDnnSegmentation is an realtime segmentation addon for openframeworks, which uses opencv dnn modules.

OpenCV v.3.3.1 or upper includes some dnn modules in their own package. Therefore I designed ofxOpenCvDnnSegmentation with OpenCV v.3.3.1 or upper version. It works with ENET or FCN network.

sample gif sample gif

Usage

See Examples for more details. You can find how to get each class detected segmentation with ofPolyline.

void setup()
{
    ofImage img;
    img.load(ofToDataPath("sample.jpg"));
    segmentation.setup(ofToDataPath("dnn/enet-model-best.net"),ofToDataPath("dnn/classlist.txt"));
    segmentation.update(img.getPixels());
}
void draw()
{
    ofBackground(0);
    segmentation.draw(0,0,ofGetWidth(), ofGetHeight());
}

Install

1. Clone ofxOpenCvDnnSegmentation to your of/addon directory

$ git clone https://github.com/TetsuakiBaba/ofxOpenCvDnnSegmentation.git

2. Download OpenCV.framework to ofxOpenCvDnnSegmentation/libs directory.

$ curl -O http://tetsuakibaba.jp/tmp/opencv2.framework.zip
$ unzip opencv2.framework.zip

Or you may build your own opencv.framework from opencv source. ( https://tetsuakibaba.jp/ws/doku.php?id=opencv_dnn:opencv2.framework )

Getting Started with Examples/single_image_or_video.

1. Download models

$ sh getModels.sh

2. Update single_image_or_video with the projectGenerator. Please be sure to include ofxOpenCvDnnSegmentation and ofxCv

3. Run

Compatibility

Sample Images

ENET results, Inference time: around 70[ms]

sample02 sample03

FCN Result. Inference time: around 1,600[ms]

sample04

Licence

Author

TetsuakiBaba

Reference

  1. https://docs.opencv.org/3.4/d4/d88/samples_2dnn_2segmentation_8cpp-example.html
  2. ENET
  3. FCN

ofxopencvdnnsegmentation's People

Contributors

tetsuakibaba avatar

Stargazers

Tyler Henry 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.