Metadata-Version: 2.1
Name: tensorvision
Version: 0.1.dev2
Summary: A library to build and train neural networks in with TensorFlow for Computer Vision
Home-page: https://github.com/MarvinTeichmann/TensorVision
Author: Marvin Teichman, Martin Thoma
Author-email: marvin.teichmann@googlemail.com, info@martin-thoma.de
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 7 - Inactive
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
Provides-Extra: testing
Requires-Dist: numpy
Requires-Dist: scipy
Provides-Extra: testing
Requires-Dist: mock; extra == 'testing'
Requires-Dist: pytest; extra == 'testing'
Requires-Dist: pytest-cov; extra == 'testing'
Requires-Dist: pytest-pep8; extra == 'testing'

[![Documentation Status](https://readthedocs.org/projects/tensorvision/badge/?version=latest)](http://tensorvision.readthedocs.org/en/latest/?badge=latest)
[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/
TensorVision/TensorVision/blob/master/LICENSE)

TensorVision is a simple toolkit to easily apply image classification networks.


## Installation

You can install TensorVision and its requirements via:

```bash
$ pip install -r https://raw.githubusercontent.com/TensorVision/TensorVision/master/requirements.txt
$ pip install https://github.com/TensorVision/TensorVision/archive/master.zip
```

For more details, please have a look at the
[installation instructions](http://tensorvision.readthedocs.io/en/latest/user/installation.html)
in the documentation.


## Documentation

Documentation is available online: http://tensorvision.readthedocs.io

## Examples

Examples of how to utilize TensorVision to perform various tasks can be found in our [KittiSeg](https://github.com/MarvinTeichmann/KittiSeg#kittiseg), [KittiBox](https://github.com/MarvinTeichmann/KittiBox#kittibox) and [MultiNet](https://github.com/MarvinTeichmann/MultiNet) repository.




## Changelog

#### Breaking Changes

- Module: `optimizer` Function: `get_learning_rate` Change: Added, now needs to be implemented.
- Module: `optimizer` Function: `training` Change: Parameter `learning_rate` added.

