Metadata-Version: 2.1
Name: guided-filter-pytorch
Version: 3.7.5
Summary: Deep Guided Filtering Layer for PyTorch
Home-page: https://github.com/wuhuikai/DeepGuidedFilter
Author: wuhuikai
Author-email: huikaiwu@icloud.com
License: UNKNOWN
Platform: UNKNOWN

Fast End-to-End Trainable Guided Filter
=======================================

`[Project] <http://wuhuikai.me/DeepGuidedFilterProject>`__
`[Paper] <http://wuhuikai.me/DeepGuidedFilterProject/deep_guided_filter.pdf>`__
`[arXiv] <https://arxiv.org/abs/1803.05619>`__
`[Demo] <http://wuhuikai.me/DeepGuidedFilterProject#demo>`__
`[Home] <http://wuhuikai.me>`__

| Official implementation of **Fast End-to-End Trainable Guided
  Filter**.
| **Faster**, **Better** and **Lighter** for pixel-wise image
  prediction.

Paper
-----

| **Fast End-to-End Trainable Guided Filter**
| Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
| CVPR 2018

Install
-------

::

    pip install guided-filter-pytorch

Usage
-----

::

    from guided_filter_pytorch.guided_filter import FastGuidedFilter

    hr_y = FastGuidedFilter(r, eps)(lr_x, lr_y, hr_x)

::

    from guided_filter_pytorch.guided_filter import GuidedFilter

    hr_y = GuidedFilter(r, eps)(hr_x, init_hr_y)

::

    from guided_filter_pytorch.guided_filter import ConvGuidedFilter

    hr_y = ConvGuidedFilter(r, norm)(lr_x, lr_y, hr_x)

Citation
--------

::

    @inproceedings{wu2017fast,
      title     = {Fast End-to-End Trainable Guided Filter},
      author    = {Wu, Huikai and Zheng, Shuai and Zhang, Junge and Huang, Kaiqi},
      booktitle = {CVPR},
      year = {2018}
    }


