# IPFML

Image Processing For Machine Learning package.

## Modules

This project contains modules.

### **img_processing** : *PIL image processing part*
    - fig2data(fig): *Convert a Matplotlib figure to a 3D numpy array with RGB channels and return it*
    - fig2img(fig): *Convert a Matplotlib figure to a PIL Image in RGB format and return it*

### **metrics** : *Metrics computation of PIL image*
    - get_SVD(image): *Transforms PIL Image into SVD*
    - get_SVD_s(image): *Transforms PIL Image into SVD and returns only 's' part*
    - get_SVD_U(image): *Transforms PIL Image into SVD and returns only 'U' part*
    - get_SVD_V(image): *Transforms PIL Image into SVD and returns only 'V' part*

### **ts_model_helper** : *contains helpful function to save or display model information and performance of tensorflow model*
    - save(history, filename): *Function which saves data from neural network model*
    - show(history, filename): *Function which shows data from neural network model*

All these modules will be enhanced during development of the project

## How to contribute

This git project uses [git-flow](https://danielkummer.github.io/git-flow-cheatsheet/) implementation. You are free to contribute to it.