Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/wzpan/qtevm

C++ implementation of EVM(Eulerian Video Magnification), based on OpenCV and Qt.
https://github.com/wzpan/qtevm

eulerian-video-magnification evm opencv

Last synced: about 2 months ago
JSON representation

C++ implementation of EVM(Eulerian Video Magnification), based on OpenCV and Qt.

Host: GitHub
URL: https://github.com/wzpan/qtevm
Owner: wzpan
License: other
Created: 2014-02-26T14:19:04.000Z (almost 11 years ago)
Default Branch: master
Last Pushed: 2016-04-19T09:08:21.000Z (over 8 years ago)
Last Synced: 2024-11-08T18:06:28.308Z (about 2 months ago)
Topics: eulerian-video-magnification, evm, opencv
Language: C++
Homepage: http://hahack.com/codes/eulerian-video-magnification/
Size: 538 KB
Stars: 170
Watchers: 18
Forks: 68
Open Issues: 2
Metadata Files:
- Readme: README.md
- License: LICENSE.pdf

Awesome Lists containing this project

README

        QtEVM

=====

C++ implementation of EVM([Eulerian Video Magnification](http://people.csail.mit.edu/mrub/vidmag/)), based on OpenCV and Qt.

Supports:

* Motion Magnification

    - spatial filter: Laplacian Pyramid

	- temporal filter: IIR bandpass filter

* Color Magnification

    - spatial filter: Gaussian Pyramid

	- temporal filter: ideal bandpass filter

More info: 

* [Official Paper](http://people.csail.mit.edu/mrub/vidmag/)

* [My notes on EVM](http://hahack.com/codes/eulerian-video-magnification/)

## Dependencies ##

* Qt (>= 5.0);

* OpenCV (>= 2.0)

## Screenshot ##

![](https://raw.githubusercontent.com/wzpan/QtEVM/master/Screenshots/QtEVM.png)

## License ##

* Please refer to [LICENCE.pdf](https://raw.githubusercontent.com/wzpan/QtEVM/master/LICENSE.pdf)

## Credits ##

* The motion magnification module is adapted from [yusuketomoto/ofxEvm](https://github.com/yusuketomoto/ofxEvm);

* [Daniel Ron](http://web.mit.edu/dron/www/portfolio/) is a super nice person. He has experience on implementing the EVM algorithm and gave me lots of useful hints;

* Also thanks [@alessandro-gentilini](https://github.com/alessandro-gentilini) , who shared a great example of [a spatial butterworth bandpass filter](https://github.com/alessandro-gentilini/opencv_exercises-butterworth) and answered some questions on temporal filtering for me.