Metadata-Version: 2.1
Name: dynamic-unet
Version: 0.0.2
Summary: Dynamic U-Nets with PyTorch for image segmentation
Home-page: https://github.com/dthiagarajan/dynamic_unet
Author: Dilip Thiagarajan
Author-email: dthiagarai@gmail.com
License: Apache Software License 2.0
Keywords: pytorch,unet,segmentation,deep learning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: torch (>=1.4.0)
Requires-Dist: torchvision
Requires-Dist: matplotlib
Requires-Dist: pillow
Requires-Dist: opencv-python

# Dynamic U-Nets with PyTorch
> This package has some convenience functions for setting up U-Nets with pre-trained ResNets as the encoder.


## Install

`pip install dynamic_unet`

## Later
* Examples of how to use this package
* Add-ons for having arbitrary image classification networks being used as encoders, not just ResNets (which are limited to 3 channel inputs, and need some ad-hoc work to set up as encoders)

## Contact
dthiagarai@gmail.com


