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Simple CLI tool to spatially equalize image luminance, lightness, saturation, or brightness
$ eqlm images/macaron.jpg -n 3 2 -t 0.8 -c
Source | Result |
---|---|
$ eqlm images/yaesu-wall.jpg -m lightness -t 0.9 -n 9 6
Source | Result |
---|---|
$ eqlm images/hakone.jpg -m saturation -t 0.2 --clamp
Source | Result |
---|---|
pip3 install eqlm
The main program can be invoked either through the eqlm
command or through the Python main module option python3 -m eqlm
.
usage: eqlm [-h] [-v] [-m {luminance,brightness,saturation,lightness}]
[-n M N] [-t RATE] [-c] [-e] [-u] [-g [GAMMA]] [-d {8,16}] [-s] [-x]
IN_FILE [OUT_FILE]
positional arguments:
IN_FILE input image file path (use '-' for stdin)
OUT_FILE output PNG image file path (use '-' for stdout)
(default: Auto)
options:
-h, --help show this help message and exit
-v, --version show program's version number and exit
-m {luminance,brightness,saturation,lightness}
--mode {luminance,brightness,saturation,lightness}
processing mode (default: luminance)
-n M N, --divide M N divide image into MxN (Horizontal x Vertical) blocks
for aggregation (default: (2, 2))
-t RATE, --target RATE
set the target rate for the output level, ranging from
0.0 (minimum) to 1.0 (maximum) (default: Average)
-c, --clamp clamp the level values in extrapolated boundaries
(default: False)
-e, --median aggregate each block using median instead of mean
(default: False)
-u, --unweighted disable weighting based on the alpha channel
(default: False)
-g [GAMMA], --gamma [GAMMA]
apply inverse gamma correction before process
[GAMMA=2.2] (default: None)
-d {8,16}, --depth {8,16}
bit depth of the output PNG image (default: 8)
-s, --slow use the highest PNG compression level (default: False)
-x, --no-orientation ignore the Exif orientation metadata (default: False)
GNU Affero General Public License v3.0
FAQs
Simple CLI tool to spatially equalize image luminance
We found that eqlm demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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