deegpt13/cv_opt_flow

OpenCV OpticalFlow showcase sample

OpenCV OpticalFlow Showcase

About

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.

Example

• Gunnar-Farneback method: By HSV

• Gunnar-Farneback method: By lines

• Gunnar-Farneback method: By warping

• Lucas-Kanade method

Tested Environment

(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

Running this sample

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.

About code

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.