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Deep Guided Filtering Layer for PyTorch

Project description

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Official implementation of Fast End-to-End Trainable Guided Filter.
Faster, Better and Lighter for image processing and dense 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)

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}
}

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
guided_filter_pytorch-1.1.1-py3-none-any.whl (4.7 kB) Copy SHA256 hash SHA256 Wheel py3 Mar 16, 2018
guided_filter_pytorch-1.1.1.tar.gz (3.5 kB) Copy SHA256 hash SHA256 Source None Mar 16, 2018

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