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.
Project details
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