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

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.git2. 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.sh2. Update single_image_or_video with the projectGenerator. Please be sure to include ofxOpenCvDnnSegmentation and ofxCv
3. Run
Compatibility
- only macOS ( tested on Mojave)
- of version: 0.10.1
- addon: ofxCv for OF master(0.10.0)
Sample Images
ENET results, Inference time: around 70[ms]
FCN) Result. Inference time: around 1,600[ms]

Licence
- All materials except for the following videos and images:
- MIT Lisence
- Videos, images
- Video by Pixabay from Pexels,
- Video by Gsm Tareq from Pexels
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