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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-tf
Usage
from guided_filter_tf.guided_filter import fast_guided_filter hr_y = fast_guided_filter(lr_x, lr_y, hr_x, r, eps, nhwc)
from guided_filter_tf.guided_filter import guided_filter hr_y = guided_filter(hr_x, init_hr_y, r, eps, nhwc)
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-tf 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| guided_filter_tf-1.1.1.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| guided_filter_tf-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.1 kB
Release files / guided_filter_tf-1.1.1.tar.gz
| Download URL | guided_filter_tf-1.1.1.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
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Release files / guided_filter_tf-1.1.1-py3-none-any.whl
| Download URL | guided_filter_tf-1.1.1-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
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