ofxOpenCvDnnObjectDetection

Description

ofxOpenCvDnnObjectDetection is an addon for openframeworks.

OpenCV v.3.3.1 or upper includes dnn module ( https://docs.opencv.org/3.4.1/da/d9d/tutorial_dnn_yolo.html ) in their own package. Therefore I designed ofxOpenCvDnnObjectDetection with OpenCV v.3.3.1 or upper version.

I created this addon for beginers or learner who are going to try object detection with Yolo, SSD and R-CNN on OF.

Usage

See Examples for more details

single_image

Detection example for single image.

camera

Realtime Detection example for webcam video.

annotation

My annotation software to export a yolo format. It enables you to annotate image, video, camera. I'm preparing the manual to use it.... not yet.

Install

1. Clone ofxOpenCvDnnObjectDetection to your of/addon directory

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

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

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

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

Getting Started with Examples/single_image.

1. Download models

$ sh getWeights.sh

2. Update single_image with the projectGenerator.

3. Run

Sample result images

Compatibility

• only macOS ( tested on Mojave)
• of version: 0.10.1

Licence

• Source Code: MIT
• Videos
  • Video by Pixabay from Pexels
  • Video by Pixabay from Pexels

Author

TetsuakiBaba

Reference

1. Model Zoo on OpenCV DNN Module README page: https://github.com/opencv/opencv/blob/master/samples/dnn/README.md
2. How to implement OpenCV Yolo on Openframeworks: https://qiita.com/buchayaty/items/4020100f531c07418f38