rio-ds-mask 1.2

RIO DS面罩

用于提取的Rasterio插件 图像的数据集级掩码。

用法

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.

此示例命令创建可接受的单波段uint8图像 用作gdal遮罩带，这意味着值为255的像素 透明像素和值为0的像素是不透明的。图像是 无损压缩和内部平铺。

$ rio ds-mask \
    --driver GTiff \
    tests/data/alpha.tif \
    mask.tif \
    --co COMPRESS=DEFLATE \
    --co TILED=YES

安装

第一个install Rasterio， 然后：

$ pip install rio-ds-mask --user

$ 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