Metadata-Version: 2.1
Name: sldc
Version: 1.2.3
Summary: SLDC, a generic framework for object detection and classification in large images.
Home-page: https://github.com/waliens/sldc
Author: Romain Mormont
Author-email: romain.mormont@gmail.com
License: UNKNOWN
Description: # SLDC
        
        **_SLDC_** is a framework created for accelerating development of large image analysis workflows. It is especially well 
        suited for solving more or less complex problems of object detection and classification in multi-gigapixel images.
        
        The framework encapsulates problem-independent logic such as parallelism, memory constraints (due to large image handling) 
        while providing a concise way of declaring problem-dependent components of the implementer's workflows.
        
        [![Build status](https://travis-ci.org/waliens/sldc.svg?branch=master)](https://travis-ci.org/waliens/sldc)
        [![codecov](https://codecov.io/gh/waliens/sldc/branch/master/graph/badge.svg)](https://codecov.io/gh/waliens/sldc)
        [![PyPI package](https://badge.fury.io/py/sldc.svg)](https://badge.fury.io/py/sldc)
        
        ## Documentation
        
        The algorithm used by the framework as well as some toy examples are presented in the [Wiki](https://github.com/waliens/sldc/wiki).
        
        ## Dependencies
        
        The framework currently works under Python 2.7 and 3.5.
        
        The required dependencies are the following :
        
        * Numpy (>= 1.10, might work with earlier versions)
        * OpenCV (>= 3.0)
        * Pillow (>= 3.1.1)
        * joblib (>= 0.9.4)
        * Shapely (>= 1.5.13)
        * Scipy (>= 0.18.1)
        
        ## Install
        
        Simply: `pip install sldc`
        
        #### On windows
        
        On Windows, some `.dll` are needed by `shapely` and are not installed by `pip` when you install `sldc`. Therefore, you might have to install
        `shapely` yourself from `conda` (i.e. `conda install shapely`) or from [here](https://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely) after having run `pip install sldc`.
        
        ## Bindings
        
        The library is image format agnostic and therefore allows you to integrate it with any existing image format by implementing some interfaces. However, some bindings were implemented for integrating SLDC with: 
        
        + [Cytomine](http://www.cytomine.be/): [`sldc-cytomine` repository](https://github.com/waliens/sldc-cytomine) 
        + [OpenSlide](http://openslide.org/): [`sldc-openslide` repository](https://github.com/waliens/sldc-openslide)
        
        ## References
        
        If you use _SLDC_ in a scientific publication, we would appreciate citations: [Mormont & al., Benelearn, 2016](http://orbi.ulg.ac.be/handle/2268/202624).
        
        The framework was initially developed in the context of [this master thesis](http://hdl.handle.net/2268.2/1314).
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
