From your command line:
Download or clone this repository.
# To clone this repository
$ git clone https://github.com/VishnuNarayananSR/python-accoustic-master
# Go into the project folder
$ cd python-accoustic-master
# Install dependencies
$ pip install -r requirements.txt
# Run the app
$ python manage.py runserver
The model was pretrained on the IRMAS audio dataset. Saved model is in /python-accoustic-master/python_music_master/backend/Trained model/. Nevertheless, if u wish to retrain the model with your data, place the training data in /python-accoustic-master/python_music_master/backend/rawdata. The folder structure should be maintained.
├── category1/
| └── files
├── category 2/
| └── files
└── . . . . . . .
Before training preprocess the data by executing python preprocess.py from a terminal session at the backend folder. The trained data will be saved in processed folder.Then perform training by executing python train.py.