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Some formatting applied to some code and paragraphs (proposals) #2

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46 changes: 24 additions & 22 deletions README.md
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Expand Up @@ -19,39 +19,41 @@ All the music pieces we used for generating the audio samples on Youtube and the
## Preparation

- Install common libraries like
numpy
matplotlib
pickle
numpy
progressbar
sklearn
scipy
csv
keras
tensorflow
theano (some functions are only supported with theano because of recurrentshop)
```
numpy
matplotlib
pickle
numpy
progressbar
sklearn
scipy
csv
keras
tensorflow
theano (some functions are only supported with theano because of recurrentshop)
```
- Make sure you have installed the following packages
https://github.com/craffel/pretty-midi
https://github.com/farizrahman4u/recurrentshop/tree/master/recurrentshop
https://github.com/nschloe/matplotlib2tikz
+ https://github.com/craffel/pretty-midi
+ https://github.com/farizrahman4u/recurrentshop/tree/master/recurrentshop
+ https://github.com/nschloe/matplotlib2tikz

- Put your midi data in the folder 'data/original/'
- Group them into folders and name than for example 'style1', 'style2'
- Put your midi data in the folder `data/original/`
- Group them into folders and name than for example `style1`, `style2`
- Make sure you have at least 10 midi files per style, otherwise it can't form a test set
- Insert your style names into classes variable in settings.py
- Adjust parameters for training in settings.py
- Insert your style names into classes variable in `settings.py`
- Adjust parameters for training in `settings.py`
- Make sure you have all these files in the same folder

## Training

- Run either vae_training.py to use the full MIDI-VAE model or
- Run any of the style classifiers pitch_classifier.py, velocity_classifer.py or instrument_classifer.py
- Run either `vae_training.py` to use the full MIDI-VAE model or
- Run any of the style classifiers `pitch_classifier.py`, `velocity_classifer.py` or `instrument_classifer.py`

The models will be stored in the automatically generated folder models/
The models will be stored in the automatically generated folder `models/`

## Evaluation

- Change the model_name and epoch of your MIDI-VAE model that you want to evaluate
- Change the model names and epochs and weights for all the style classifiers
- Make sure you have set the same parameters as were used during training
- Run vae_evaluation.py
- Run `vae_evaluation.py`