Test to learn how to use PySceneDetect.
The last version available present some problems, so it is required to use v0.3.5. So for this is better to use PIP to install the last stable version, and not follow the proyect readme instructions.
For MacOS creating a virtual enviroment to use this repo create an error. For that reason, to be able to use it, it is required to install some dependencies throught Homebrew. The steps for MacOS are:
- First ensure you have python2.7 globally installed in your computer. If not, you can get python2.7 here.
- Install OpenCV with Homebrew:
$ brew install opencv3 - Install PySceneDetect:
$ pip install pyscenedetect - Git clone this repo to your PC
$ git clone https://github.com/klapen/pyscenedetect-test.git - Ready to use the test on global terminal
On Linux, it is straight forward to use it on virtual enviroments. To run the test:
$ git clonehttps://github.com/klapen/pyscenedetect-test.git $ cd pyscenedetect-test $ virtualenv -p python2.7 vtest $ source vtest/bin/activate $ pip install -r requirements.txt
python test.py [options] [files list]
Options and arguments:
- -s --save-images : Save images for scene detection.
- -d --detector : Scene detector type. Only aceptable options are 'content' (default) or 'threshold'
- [video file list] : List of video files to parse.