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RetinaNet and RetinaMask models for object detection using TensorFlow and DeepCell-tf.

Project description

DeepCell-RetinaMask

Build Status Coverage Status Apache 2.0 PyPI version Python Versions

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 and keras-maskrcnn.

Install

deepcell-retinamask can be easily installed with pip:

$ pip install deepcell-retinamask

Examples

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

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Files for DeepCell-RetinaMask, version 0.1.0
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