I am trying to get the values given for Standard Deviation
in the Red
, Green
, and Blue
channels that you can see in gm identity -verbose
but they're not listed in the -format
options.
How can I get these from the commandline?
A workaround to list the values using PHP:
$raw = `gm identify -verbose {$file}|grep -E -e '^ +(Standard Deviation): *[^b]*$'`;
preg_match_all("/(?<=Standard Deviation:)(?: +)([\d\.]+)/", $raw, $matches);
$ret = [$matches[1][0], $matches[1][1], $matches[1][2]];
this is the output from gm identify -verbose
.
Example we need the values from properties under Channel Statistics
:
Image: /.../.../img.jpg
Format: JPEG (Joint Photographic Experts Group JFIF format)
Geometry: 1064x1600
Class: DirectClass
Type: true color
Depth: 8 bits-per-pixel component
Channel Depths:
Red: 8 bits
Green: 8 bits
Blue: 8 bits
Channel Statistics:
Red:
Minimum: 0.00 (0.0000)
Maximum: 255.00 (1.0000)
Mean: 132.32 (0.5189)
Standard Deviation: 45.92 (0.1801)
Green:
Minimum: 0.00 (0.0000)
Maximum: 255.00 (1.0000)
Mean: 104.17 (0.4085)
Standard Deviation: 55.13 (0.2162)
Blue:
Minimum: 0.00 (0.0000)
Maximum: 255.00 (1.0000)
Mean: 103.61 (0.4063)
Standard Deviation: 55.71 (0.2185)
Filesize: 452.0Ki
Interlace: No
Orientation: Unknown
Background Color: white
Border Color: #DFDFDF
Matte Color: #BDBDBD
Page geometry: 1064x1600+0+0
Compose: Over
Dispose: Undefined
Iterations: 0
Compression: JPEG
JPEG-Quality: 95
JPEG-Colorspace: 2
JPEG-Colorspace-Name: RGB
JPEG-Sampling-factors: 2x2,1x1,1x1
Signature: 136912e901ae9314fd683868418cae1f5d838c6891ddd8c13ce28057fb39365a
Tainted: False
User Time: 0.010u
Elapsed Time: 0m:0.014459s
Pixels Per Second: 112.3Mi
The solution that worked for me on macos was based on the answer from @thefourthbird. I couldn't install ggrep
but had success with pcre2grep
from port
(macports).
gm identify -verbose img.jpg|\
pcre2grep -o --allow-lookaround-bsk "\b(?:Minimum|Maximum|Mean|Standard Deviation): +\d+\.\d+ \(\K\d+\.\d+"
the --allow-lookaround-bsk
option in pcre2grep
enabled the \K
symbol which was needed to discard the content before each value.
The result is the extracted values I can use from the example in the question:
0.0000
1.0000
0.5189
0.1801
0.0000
1.0000
0.4085
0.2162
0.0000
1.0000
0.4063
0.2185
Note: the number of values varies.
Minimum
|Maximum
|Mean
|Standard Deviation