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L0-Smoothing-0.1.3
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مشاهده بیشترتوضیحات
Implementation of 《Image Smoothing via L0 Gradient Minimization》
| ویژگی | مقدار |
|---|---|
| سیستم عامل | OS Independent |
| نام فایل | L0-Smoothing-0.1.3 |
| نام | L0-Smoothing |
| نسخه کتابخانه | 0.1.3 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Nrupatunga(normal), TsXor(pyocl) |
| ایمیل نویسنده | nrupatunga.s@byjus.com, zhang050525@qq.com |
| آدرس صفحه اصلی | https://github.com/TsXor/L0-Smoothing |
| آدرس اینترنتی | https://pypi.org/project/L0-Smoothing/ |
| مجوز | MIT |
<!-- PROJECT LOGO -->
<p align="center">
<h3 align="center">Image Smoothing via L0 Gradient Minimization</h3>
<p align="center">
<br />
<a
href="http://www.nthere.in/2020/06/15/Image-Smoothing-using-L0-Gradient-Minimization/">Blog
Post</a>
|
<a href="https://github.com/nrupatunga/L0-Smoothing/issues">Report Bug on Numpy Version</a>
|
<a href="https://github.com/TsXor/L0-Smoothing/issues">Report Bug on PyOpenCL Version</a>
<br />
</p>
</p>
<!-- TABLE OF CONTENTS -->
## Table of Contents
* [About the Project](#about-the-project)
* [Getting Started](#getting-started)
- [Installation](#installation)
- [Install from pypi](#install-from-pypi)
- [Setup with source code](#setup-with-source-code)
- [Usage](#usage)
- [Import in your script](#import-in-your-script)
- [Execute from terminal](#execute-from-terminal)
* [Maybe FAQ](#maybe-faq)
<!--ABOUT THE PROJECT-->
## About the Project
This repository is the Python implementation of the paper:
[Image Smoothing via L0 Gradient Minimization](http://www.cse.cuhk.edu.hk/~leojia/papers/L0smooth_Siggraph_Asia2011.pdf)
|Flower |
|-----------|
| |
| Rock
|-------------|
| |
<!--GETTING STARTED-->
## Getting Started
<!--INSTALLATION-->
### Installation
<!--INSTALL FROM PYPI-->
#### Install from pypi
```bash
pip install L0-Smoothing
```
<!--SETUP WITH SOURCE CODE-->
#### Setup with source code
```bash
# Clone the repository
git clone https://github.com/TsXor/L0-Smoothing.git
# build package
# build.bat is batch script for Windows cmd, and will not work on linux.
# build.bat consist of mostly commands to move files, so it is easy to be rewritten into a bash script.
# However, I don't have a linux machine available now, hope someone can write one and open a PR.
cd builder
./build.bat
# install via pip
cd dist
pip install L0_Smoothing-*-py3-none-any.whl
```
<!--USAGE-->
### Usage
<!--IMPORT IN YOUR SCRIPT-->
#### Import in your script
```python
from L0_Smoothing import L0_Smoothing, L0_Smoothing_accel
# It is not recommended to use cv2.imread because it easily throws error
# just because you are missing some unimportant parameters and cannot
# read image from path with Chinese (and maybe other non-ascii) characters.
# Just read it with PIL and convert it to numpy array!
# Note that you need to convert image to BGR with cv2.cvtColor if you read with PIL.
import numpy as np
from PIL import Image
img = np.asarray(Image.open(r'/path/to/your/image'))
# Parameters:
# L0_Smoothing(img, asHSV=False, lambda_=2e-2, kappa=2.0, beta_max=1e5, mode='pyvkfft')
# L0_Smoothing_accel(img, asHSV=False, lambda_=2e-2, kappa=2.0, beta_max=1e5)
# img: numpy array of the image to be smoothed
# asHSV: This module does operation per channel, and you can choose to convert it to HSV
# while operating by giving parameter asHSV=True.
# lambda_, kappa, beta_max: read the paper
# mode: the OpenCL FFT backend to use
smoothed = L0_Smoothing_accel(img)
```
If you are programming with `pyopencl`, you can use this module like this:
```python
import pyopencl as cl
import numpy as np
import pyopencl.array as clArray
from L0_Smoothing import L0_Smoothing_CL
ctx = cl.create_some_context(interactive=False)
queue = cl.CommandQueue(ctx)
img = np.asarray(Image.open(r'/path/to/your/image'))
S = clArray.to_device(queue, img/255)
S_smoothed = L0_Smoothing_CL(S)
img = S.get()*255
img = np.clip(img, 0, 255).astype(np.uint8)
```
Hint: You can try to apply blur before doing smoothing if the smoothing effect is not ideal.
<!--EXECUTE FROM TERMINAL-->
#### Execute from terminal
Notes:
- It support only jpg and png images now.
- Input and output path should be both file or both folder.
- You can give lambda_, kappa, beta_max via `--params`.
- You can choose to use slower numpy version with switch `--noaccel`.
- If you give `show` for output path, processed image with not be saved but showed.
```bash
# get some help
L0-Smoothing --help
# process single image and save it somewhere
L0-Smoothing /path/to/your/image /path/you/want/to/save
# process all images in a folder and save it somewhere
L0-Smoothing /path/to/your/image/folder /path/you/want/to/save
```
<!--MAYBE FAQ-->
## Maybe FAQ
- When I use its command from terminal, it throws error!
Try adding switch `--noaccel` to use slower numpy version.
- pip throws errors (on compiling) when I am installing pyvkfft!
Download pyvkfft package bundled with OpenCL SDK from release and install it with pip.
Or just download binary package from release and install it.
- Binary packages have problem on my machine.
Use `reikna` as fft backend, it is pure python.
نیازمندی
| مقدار | نام |
|---|---|
| - | numpy |
| - | opencv-python |
| - | pyopencl |
| - | pyvkfft |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3 | Python |
نحوه نصب
نصب پکیج whl L0-Smoothing-0.1.3:
pip install L0-Smoothing-0.1.3.whl
نصب پکیج tar.gz L0-Smoothing-0.1.3:
pip install L0-Smoothing-0.1.3.tar.gz