Defogging based on Python
Implement a robust and efficient defogging method with Python
- Defogging a single foggy image
Use pip to install:
$ pip install defogging
Or you can install from source:
$ git clone firstname.lastname@example.org:scloudyy/Defogging.git $ cd Defogging $ python setup.py build $ pip install .
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 :
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.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash||File type||Python version||Upload date|
|defogging-0.1.7-py3.5.egg (15.3 kB) View hashes||Egg||3.5|
|defogging-0.1.7.tar.gz (4.7 kB) View hashes||Source||None|