System works for mp3 files. It extracts the acoustic features for first and last 30 seconds from files and saves as a csv file. It gives a recommendation for choosen song. Purpose of the system is to give recommendation to users for best crossfade.
if you would like to change the music file, just replace the songs with new ones and run the main.py.you can change csv file name inside of the code as well or you can merge them
Put only your song files under the music directory.
What things you need to install the software and how to install them
pip install -r requirements.txt
A step by step series of examples that tell you how to get a development env running
Say what the step will be
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And repeat
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End with an example of getting some data out of the system or using it for a little demo
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Explain what these tests test and why
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Explain what these tests test and why
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run main.py file and wait until it ends the feaure extraction
python recommend.py music/David_August_-_Epikur_-_Epikur_EP_\(Official_Video\)-Zvi4JYmRXzI.mp3
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
- Egehan Gunduz - Initial work - egndz
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE.md file for details
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