#Python decode mat file install#
#Python decode mat file driver#
#Python decode mat file portable#
#Python decode mat file windows#

If EXIF information is embedded in the image file, the EXIF orientation will be taken into account and thus the image will be rotated accordingly except if the flags IMREAD_IGNORE_ORIENTATION or IMREAD_UNCHANGED are passed.

#Python decode mat file driver#

In the case you set WITH_GDAL flag to true in CMake and IMREAD_LOAD_GDAL to load the image, then the GDAL driver will be used in order to decode the image, supporting the following formats: Raster, Vector.

#Python decode mat file install#

Install the relevant packages (do not forget the development files, for example, 'libjpeg-dev', in Debian* and Ubuntu*) to get the codec support or turn on the OPENCV_BUILD_3RDPARTY_LIBS flag in CMake.

On Linux*, BSD flavors and other Unix-like open-source operating systems, OpenCV looks for codecs supplied with an OS image.

But beware that currently these native image loaders give images with different pixel values because of the color management embedded into MacOSX. On MacOSX, there is also an option to use native MacOSX image readers. So, OpenCV can always read JPEGs, PNGs, and TIFFs.

On Microsoft Windows* OS and MacOSX*, the codecs shipped with an OpenCV image (libjpeg, libpng, libtiff, and libjasper) are used by default.

Results may differ to the output of cvtColor()

When using IMREAD_GRAYSCALE, the codec's internal grayscale conversion will be used, if available.

In the case of color images, the decoded images will have the channels stored in B G R order.The function determines the type of an image by the content, not by the file extension.Raster and Vector geospatial data supported by GDAL (see the Note section).Radiance HDR - *.hdr, *.pic (always supported).OpenEXR Image files - *.exr (see the Note section).TIFF files - *.tiff, *.tif (see the Note section).Sun rasters - *.sr, *.ras (always supported).

#Python decode mat file portable#

Portable image format - *.pbm, *.pgm, *.ppm *.pxm, *.pnm (always supported).

Portable Network Graphics - *.png (see the Note section).

JPEG 2000 files - *.jp2 (see the Note section).

JPEG files - *.jpeg, *.jpg, *.jpe (see the Note section).

#Python decode mat file windows#

Windows bitmaps - *.bmp, *.dib (always supported).If the image cannot be read (because of missing file, improper permissions, unsupported or invalid format), the function returns an empty matrix ( Mat::data=NULL ).Ĭurrently, the following file formats are supported: The function imread loads an image from the specified file and returns it. More.Ĭv::imwritemulti (const String &filename, InputArrayOfArrays img, const std::vector ¶ms=std::vector())ĭetailed Description Function Documentation ◆ imdecode() More.Ĭv::imwrite (const String &filename, InputArray img, const std::vector ¶ms=std::vector()) More.Ĭv::imread (const String &filename, int flags= IMREAD_COLOR)Ĭv::imreadmulti (const String &filename, std::vector &mats, int flags= IMREAD_ANYCOLOR) More.Ĭv::imdecode ( InputArray buf, int flags, Mat *dst)Ĭv::imencode (const String &ext, InputArray img, std::vector &buf, const std::vector ¶ms=std::vector())Įncodes an image into a memory buffer. Flags used for image file reading and writingĬv::imdecode ( InputArray buf, int flags)