Skip to main content

Deep Guided Filtering Layer for PyTorch

Project description

[Project] [Paper] [arXiv] [Demo] [Home]

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}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

guided_filter_pytorch-3.7.5.tar.gz (3.8 kB view details)

Uploaded Source

Built Distribution

guided_filter_pytorch-3.7.5-py3-none-any.whl (3.8 kB view details)

Uploaded Python 3

File details

Details for the file guided_filter_pytorch-3.7.5.tar.gz.

File metadata

  • Download URL: guided_filter_pytorch-3.7.5.tar.gz
  • Upload date:
  • Size: 3.8 kB
  • Tags: Source
  • Uploaded using 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

File hashes

Hashes for guided_filter_pytorch-3.7.5.tar.gz
Algorithm Hash digest
SHA256 0bf812ffecc38e5576bb1b567bd64246c78d0730ab310d3e45317151b4a0551b
MD5 2d37b2eb234ef57085a05c89d26b1132
BLAKE2b-256 7a65f260be1413556374fed414410d3242062f858ad01004524b7d553cc901a3

See more details on using hashes here.

File details

Details for the file guided_filter_pytorch-3.7.5-py3-none-any.whl.

File metadata

  • Download URL: guided_filter_pytorch-3.7.5-py3-none-any.whl
  • Upload date:
  • Size: 3.8 kB
  • Tags: Python 3
  • Uploaded using 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

File hashes

Hashes for guided_filter_pytorch-3.7.5-py3-none-any.whl
Algorithm Hash digest
SHA256 2b63cd8321f9a7201267a518d5ac090ce1928bcf415fb38d81e5a5192795e746
MD5 ff054e717585a31f05387f1dfa699645
BLAKE2b-256 17765a7f6a3bbd4e2857806619d04d1c316f597f35f8f7ad1939e54fc8da9729

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page