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ofxOpenCvDnnObjectDetection

sample_images/result_sample01.gif

Description

ofxOpenCvDnnObjectDetection is an addon for openframeworks(version.0.11.0).

I created this addon for beginers or learner who are going to try object detection with Yolo, SSD and R-CNN on OF. Latest oF includes opencv(version4) as a default opencv library, so you can run dnn object detection with ofxOpenCv.

Usage

See Examples for more details

Example

single_image

single_image screenshot Detection example for single image.

camera

Realtime Detection example for webcam video.

annotation

annotation screenshot 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.

Getting Started with Examples/single_image.

1. Clone ofxOpenCvDnnObjectDetection to your of/addon directory

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

2. Download models

$ sh getWeights.sh

3. Open a project generator and import Example/single_image. Then click the update button.

4. Open the project with IDE(xcode) and just run.

Compatibility

  • only macOS ( tested on Catalina 10.15)
  • oF version: 0.11.0

If you wanna get faster inference time.

Openframeworks(version.0.11.0) includes opencv-4.0.1 for ofxOpenCv addon. But you can get faster inference time by using local-compiled opencv library. Here is my inference time result on each dnn object detection.

Now, I've done an inference test on M1 mac with arm64 compiled opencv2.framework. If you would like to try oF with M1 native, please check the below link.

CPU Inference Time on MacBook Pro (13-inch Mid 2018) https://browser.geekbench.com/v5/cpu/1184669 opencv.a (opencv-4.0.1, oF bundle) opencv2.framework (opencv-4.2.0, local compiled)
yolov3 (416x416,coco) 760 [ms] 307 [ms]
yolov3-tiny (416x416,coco) 62 [ms] 27 [ms]
yolov2-tiny (416x416,coco) 61 [ms] 28 [ms]
MobileNet-SSD (300x300, voc) 40 [ms] 26 [ms]
SSD (300x300, coco) 768 [ms] 310 [ms]
CPU Inference Time on mac mini (M1 2020) https://browser.geekbench.com/v5/cpu/5044574 opencv.a (opencv-4.0.1, oF bundle) opencv2.framework (opencv-4.5, intel macbook pro(2018) compiled) opencv2.frameworks
(Arm64 M1 compiled)
yolov3 (416x416,coco) 412 [ms] 413 [ms] 320 [ms]
yolov3-tiny (416x416,coco) 39 [ms] 39 [ms] 30 [ms]
yolov2-tiny (416x416,coco) 37 [ms] 38 [ms] 29 [ms]
MobileNet-SSD (300x300, voc) -- [ms] -- [ms] -- [ms]
SSD (300x300, coco) -- [ms] -- [ms] -- [ms]

How to replace opencv.a to opencv2.framework

  1. Copy opencv2.framework to ofxOpenCvDnnObjectDetection/lib directory
  2. Edit addon_config.mk and comment out a line of #ADDON_INCLUDES += libs/opencv2.framework
  3. Import a project, such as single_image, camera, with projectgenerator then remove ofxOpenCv from addon list.
  4. update and run.

Licence

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

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