Package: shapedata
Copyright (c) 2019, Justus Schock
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.Description: # ShapeData[![PyPI version](https://badge.fury.io/py/shapedata.svg)](https://badge.fury.io/py/shapedata) [![Build Status](https://travis-ci.com/justusschock/shapedata.svg?token=GsT2RFaJJMxpqLAN3xuh&branch=master)](https://travis-ci.com/justusschock/shapedata) [![Documentation Status](https://readthedocs.org/projects/shapedata/badge/?version=master)](https://shapedata.readthedocs.io/en/master/?badge=master) [![codecov](https://codecov.io/gh/justusschock/shapedata/branch/master/graph/badge.svg?token=PeQndVRdEQ)](https://codecov.io/gh/justusschock/shapedata) ![LICENSE](https://img.shields.io/github/license/justusschock/shapedata.svg)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 viapip 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 useimg.transform()to transform the image with the origin as transformation base orimg.transform_about_centre()to use the images’s center as transformation base.
Transformations asimg.translate(),img.rotate(),img.rescale()orimg.resize()are also implemented and will fall back onimg.transform()orimg.transform_about_centre()To access the image itself you can doimg.imgand accessing the landmarks works withimg.lmkfor instances ofSingleShapeSingleImageFor 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.