shapedata 0.2.0

Copyright (c) 2019, Justus Schock All rights reserved.

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Description: # ShapeData

[](https://badge.fury.io/py/shapedata) [](https://travis-ci.com/justusschock/shapedata) [](https://shapedata.readthedocs.io/en/master/?badge=master) [](https://codecov.io/gh/justusschock/shapedata) 

This repository contains image classes to perform transformations on images with landmarks (similar to [menpo](https://github.com/menpo/menpo) but with much less dependencies). It also provides some basic Datasets for [delira](https://github.com/justusschock/delira)

## Installation This package can be installed via pip install shapedata

## Basic Usage To load a single image with landmarks you can simply do

`python import shapedata img = shapedata.SingleShapeSingleImage2D.from_files("./example_files/lenna.png") `

and to view this image do `python from matplotlib import pyplot as plt img.view(view_landmarks=True) plt.show() `

To augment the image you can use img.transform() to transform the image with the origin as transformation base or img.transform_about_centre() to use the images’s center as transformation base. Transformations as img.translate(), img.rotate(), img.rescale() or img.resize() are also implemented and will fall back on img.transform() or img.transform_about_centre()

To access the image itself you can do img.img and accessing the landmarks works with img.lmk for instances of SingleShapeSingleImage For further usage have a look at the datasets and docstrings.

Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Education Classifier: Intended Audience :: Science/Research Classifier: Natural Language :: English Classifier: Programming Language :: Python :: 3 Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.