.. versionadded:: 1.4.0 The mahotas-features.py script appeared in version 1.4.0 (July 2015)
With the installation of mahotas, a script called mahotas-features.py
is
installed, which can be used to compute features from a set of files.
You call the script with a set of flags specifying which features you want to compute, followed by a list of files. For example:
$ mahotas-features.py --haralick --lbp image-file1.tiff image-file2.tiff
This will output to the file features.tsv
(this default can be changed with
the --output
option)
You can obtain help on all the options by running mahotas-features.py
--help
:
If you use mahotas in a scientific publication, please cite Coelho, LP (2013). https://dx.doi.org/10.5334/jors.ac usage: mahotas-features.py [-h] [--output OUTPUT] [--clobber] [--convert-to-bw CONVERT_TO_BW] [--no-color] [--haralick] [--lbp] [--lbp-radius LBP_RADIUS] [--lbp-points LBP_POINTS] input_file_name [input_file_name ...] Compute features using mahotas positional arguments: input_file_name Image files names optional arguments: -h, --help show this help message and exit --output OUTPUT Output file for feature files --clobber Overwrite output file (if it exists) --convert-to-bw CONVERT_TO_BW Convert color images to greyscale. Acceptable values: no: raises an error (default) max: use max projection yes: use rgb2gray --no-color Do not print in color (for error and warning messages) --haralick Compute Haralick features --lbp Compute LBP (linear binary patterns) features --lbp-radius LBP_RADIUS Radius to use for LBP features --lbp-points LBP_POINTS Nr of points to use for LBP features