Metadata-Version: 2.1
Name: DeepCell-RetinaMask
Version: 0.1.1
Summary: RetinaNet and RetinaMask models for object detection using TensorFlow and DeepCell-tf.
Home-page: https://github.com/vanvalenlab/deepcell-retinamask
Author: The Van Valen Lab
Author-email: vanvalen@caltech.edu
License: LICENSE
Download-URL: https://github.com/vanvalenlab/deepcell-retinamask/tarball/0.1.1
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6, <3.9
Description-Content-Type: text/markdown
Provides-Extra: tests
License-File: LICENSE

# DeepCell-RetinaMask

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`deepcell-retinamask` is a deep learning library for building RetinaNet and RetinaMask based object detection models with `tensorflow` and `deepcell-tf`.

This project was heavily influenced by [keras-retinanet](https://github.com/fizyr/keras-retinanet) and [keras-maskrcnn](https://github.com/fizyr/keras-maskrcnn).

## Install

`deepcell-retinamask` can be easily installed with pip:

```bash
$ pip install deepcell-retinamask
```

## Examples

For examples of how to train models with the `deepcell-retinamask` library, check out the following notebooks:

- [Training a RetinaNet Model](https://github.com/vanvalenlab/deepcell-retinamask/blob/master/notebooks/RetinaNet.ipynb)
- [Training a RetinaMask Model](https://github.com/vanvalenlab/deepcell-retinamask/blob/master/notebooks/RetinaMask.ipynb)
- [Training a PanOpticFPN Model](https://github.com/vanvalenlab/deepcell-retinamask/blob/master/notebooks/PanOpticFPN.ipynb)


