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Description:

riodsmask 1.2

rio-ds-mask
A Rasterio plugin for extracting
an image’s dataset-level mask.

Usage
Usage: rio ds-mask [OPTIONS] INPUT OUTPUT

Extract an image's dataset-level mask.

Both output driver and datatype are derived from the input image if not
given.

In some cases this plugin alters GDAL's returned mask values. When
writing masks GDAL uses 0's for opaque and 255's for transparent, but when
reading masks the returned value differs based on the image's datatype. 8
bit images produce 8 bit masks where 0's are opaque and 255's are
transparent, however 16 bit images use 0's for opaque and 1's for
transparent, still stored as 8 bit. If the image's datatype is 'int16' or
'uint16' and the mask's maximum value is 1, then all 1's are translated to
255's. The mask's datatype is preserved. I have not fully investigated
all of GDAL's masking options to determine if the behavior is consistent.
If it is found to be a deliberate choice then the normalization will be
removed.

Options:
-f, --format, --driver TEXT Output format driver
-t, --dtype [ubyte|uint8|uint16|int16|uint32|int32|float32|float64]
Output data type.
--co, --profile NAME=VALUE Driver specific creation options.See the
documentation for the selected output driver
for more information.
--help Show this message and exit.
This example command creates a singleband uint8 image that is acceptable
to use as a GDAL mask band, meaning that pixels with a value of 255 are
transparent and pixels with a vaue of 0 are opaque. The image is
losslessly compressed and internally tiled.
$ rio ds-mask \
--driver GTiff \
tests/data/alpha.tif \
mask.tif \
--co COMPRESS=DEFLATE \
--co TILED=YES

Installing
First install Rasterio,
then:
$ pip install rio-ds-mask --user

Developing
$ git clone https://github.com/geowurster/rio-ds-mask.git
$ cd rio-ds-mask
$ pip install -e .\[all\]
$ pytest --cov rio-ds-mask --cov-report term-missing

License
See LICENSE.txt

Changelog
See CHANGES.md