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Defogging based on Python

Project Description

Implement a robust and efficient defogging method with Python

Features

  • Defogging a single foggy image

install

Use pip to install:

$ pip install defogging

Or you can install from source:

$ git clone git@github.com:scloudyy/Defogging.git
$ cd Defogging
$ python setup.py build
$ pip install .

Usage

Use defogging through command line:

$ defogging your_img.bmp

the result will be saved as your_img_defogging.bmp

And you can also use defogging in your own code:

from defogging import Defog

in_name = "foggy.bmp"
out_name = "defogged.bmp"

df = Defog()
df.read_img(in_name)
df.defog()
df.save_img(out_name)

you can directly input a foggy object in the form of numpy.array :

df.read_array(your_array, range)

where range indicates the value range of your array.The range has two options: the first is 1, which means the value range of your array is [0,1], and the second is 255, which means the value range is [0,255]

If you want to process the defogged object further, you can also get defogged array:

dst = df.get_array(range)

also, range indicates the value range of returned array, either 1 or 255. If you choose 1, the range will lie in [0,1], and the type of it is float. Or if you choose 255, the range will be [0,255], and the type will be uint8.

Release History

Release History

This version
History Node

0.1.8

History Node

0.1.7

History Node

0.1.6

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
defogging-0.1.8.tar.gz (4.6 kB) Copy SHA256 Checksum SHA256 Source Aug 16, 2017

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