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- # 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.
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