Dj-beat is an easy-to-use generator that automatically detects audio beats and generates time markers for FCPX and Adobe Premiere*.
P.S. why the tool is called DJ beat? DJ is from my chinese first name of course...
A good music-driven video requires a perfect combination of sound and picture. Think about you're using the video editing software like Final Cut Pro X, you need to manually mark the place on the soundtrack that denotes the beat. Now, you have the DJ-beat, which can help you handle such a boring thing, mark, mark, mark...While it may do better than us.
Dj-beat is a simple tool developed based on python3 and madmom library, supports operating via command line and graphical interface*. The principle of the tool is the music beat tracking (based on multi-LSTM models and Dynamic Bayesian Network), then the tool output the XML file, which the FCPX and PRE can read.
Learn more about beat tracking:
Cython==0.29.6
numpy==1.14.3
You may need to install the above two libs before you install the dj-beat.
madmom==0.16.1
tqdm==4.31.1
librosa==0.6.3
cd ./djbeat
pip install -r bases.txt
pip install -r requirements.txt
make sure you have add your virtual environment bin path to the PATH, thus to use the command line tool.
pip install dj-beat
$ git clone https://github.com/kevinleeex/dj-beat.git
$ cd dj-beat
$ pip setup.py install
$ djbeat -f ./test/treasure-trimed.wav -r 30
-h, --help Display this help message and exit.
-v, Display the version.
-V, Display the beat time list in terminal.
-p, --platform The platform, fcpx or pre, default='fcpx'.
-f, --filepath The filepath of the input audio.
-s, --fps FPS The sample rate of the music, a integer number, default='100'.
-r, --frame_rate The frame rate of your video setting, choose from {23.98,24,25,29.97,30,50,60}, default='30'.
[TO-DO]
If this project helps you, you can support me to do better.
Or click Donete me with Wechat or Alipay
- Distribution
- Support the GUI
- Support generate marks for PRE
- Model research about beat tracking
Copyright © 2018 Kevin T. Lee. All rights reserved.
The project is licensed under the MIT license. See LICENSE for more details.