This is a sample code of Optical Flow casually with OpenCV.
This is better version of 'samples/python2/opt_flow.py' included in OpenCV:
- Switchable to 4 types of optical flow methods,
- Not accumulating 'flow' for making it easy,
- Flipping video image horizontally for the use with webcam,
- Packing each methods into classes,
- Also runs on Raspberry Pi.
- Gunnar-Farneback method: By HSV
- Gunnar-Farneback method: By lines
- Gunnar-Farneback method: By warping
- Lucas-Kanade method
(Mac)
- MacOS X El Capitan
- python 2.7.10 & 3.6.2
- OpenCV3 3.1.0 & 3.4.1
(Raspberry Pi)
- Raspberry Pi 2
- Ubuntu 14.04.4 LTS (trusty)
- python 2.7.6
- OpenCV3 3.0.0
For Mac/PC, simply run main.py.
$ python main.py
For Raspberry Pi, run raspi_main.py.
$ python raspi_main.py
Usage will be shown as below.
Hit followings to switch to:
1 - Dense optical flow by HSV color image (default);
2 - Dense optical flow by lines;
3 - Dense optical flow by warped image;
4 - Lucas-Kanade method.
Hit 's' to save image.
Hit 'f' to flip image horizontally.
Hit ESC to exit.
- For Mac/PC, click on the preview window to enter commands.
| file | description |
|---|---|
| main.py | Main program to run this sample. |
| raspi_main.py | Main program for Raspberry Pi. |
| OpticalFlowShowcase.py | Optical flow sample body. |
OpticalFlowShowcase.py has following classes.
