- Node.js 6.x.x (Node.js 6.9.x or greater is recommended)
- Python 2.x.x (Python 2.7.x or greater is recommended)
- OpenCV 3
This project requires a working installation of OpenCV 3. Please install this first before installing the project dependencies.
Dependencies of this project can be installed via NPM or Yarn.
It is recommended to use Yarn instead of NPM due to the assurance that the dependencies that will be installed is the same across all machines.
Although there is the npm shrinkwrap which aims to achieve what is stated above, read this about yarn.lock and npm shrinkwrap.
Note: Make sure that Python 2.x.x is present on your path since OpenCV bindings for Node.js needs this in order for it to be compiled.
This program can be run using the command yarn start if you use Yarn or npm start if you use NPM.
The output image files will be under the out directory generated at the project root.
This can also be installed as executable script using the command npm install -g. After installation which could take some time,
You may now be able to use the command image-sequencer <directory containing images>. For more info, you can type: image-sequencer --help.
You may create video out of the image sequences by using third party software like Adobe Photoshop, Virtualdub
and many more but you can create it directly from the command line if you have ImageMagick and ffmpeg installed on your path.
I have setup a simple NPM script that utilizes ImageMagick and ffmpeg. You may run the command yarn run create-video if you use Yarn
or npm run create-video if you use NPM.
This program includes unit tests written using Mocha test framework and Chai assertion library.
Unit tests can be run using yarn test if you use Yarn or npm test if you use NPM.
MIT