Fast End-to-End Trainable Guided Filter

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}
}

Metadata

Release files for guided-filter-pytorch 3.7.5

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Source distribution for guided-filter-pytorch 3.7.5
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Built distribution (wheel)

Table of built distributions (wheels) for guided-filter-pytorch 3.7.5
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guided_filter_pytorch-3.7.5-py3-none-any.whl 3.8 kB Sep 25, 2019 Without provenance	Python 3	none	any	Details for guided_filter_pytorch-3.7.5-py3-none-any.whl

Total release size: 7.6 kB

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Release files / guided_filter_pytorch-3.7.5-py3-none-any.whl

Download URL	guided_filter_pytorch-3.7.5-py3-none-any.whl
Size	3.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2b63cd8321f9a7201267a518d5ac090ce1928bcf415fb38d81e5a5192795e746`
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Upload date	Sep 25, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.6`

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3.7.5 This release

Sep 25, 2019 2 release files No provenance

1.1.1

Mar 16, 2018 2 release files No provenance

guided-filter-pytorch 3.7.5