A video processing tool for visual data collection, end-to-end preprocessing, ready-to-go for model training.
Project description
# Dataset-builder ![Build](https://img.shields.io/badge/Design-passing-Green) A video processing tool for visual data collection, end-to-end preprocessing, ready-to-go for model training.
### Input A video or a set of videos. Currently supports `.mp4` only.
### Features
Audio extraction :v: - `python src/app.py --fileName 001-01.mp4 --extractAudio yes`
Audio detection :v: - `python src/app.py --fileName 001-01.wav --detectAudio yes` - To show plot: `python src/app.py --fileName 001-01.wav --detectAudio yes --plot true`
Audio-video split :v: - To separate audio: `python src/app.py --fileName 001-01.wav --separateAudio yes` - To separate video: `python src/app.py --fileName 001-01.mp4 --separateVideo yes`
Audio-video merge :v: - `python src/app.py --fileName 001-01.mp4 --mergeAudioVideo yes`
Video player :v: - Play the separated videos to see all is good: `python src/app.py --fileName 001-01.mp4 --playAll`
Video compression :v: - `python src/app.py --fileName 001-01.mp4 --compressBySize 2`
Face detection and region extraction :v: - `python src/app.py --fileName 001-01.mp4 --detectLip yes --speaker 001`
Video data processing utilities :v:
### How to use it?
Clone the repository: `https://github.com/MasumBhuiyan/visual-data-manager.git`
Open terminal and <b>cd</b> to the directory where <b>requirements.txt</b> is located.
Create, activate, and install packages in a virtual environment - `pip install virtualenv` - `virtualenv env` - `source env/bin/activate` - `pip install -r requirements.txt`
To split a video run: `will be updated`
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