glymur | Python interface to OpenJPEG library for reading and writing JPEG 2000 images | Messaging library
kandi X-RAY | glymur Summary
kandi X-RAY | glymur Summary
glymur contains a Python interface to the OpenJPEG library which allows one to read and write JPEG 2000 files. glymur works on Python 3.7, 3.8, 3.9, and 3.10. Please read the docs,
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Top functions reviewed by kandi - BETA
- Copy the image
- Initialize the dataset .
- Command line interface for tiff2jp .
- Parse Z segment .
- Print geotiff .
- Read tile header .
- Parse a superbox box .
- Parse command line arguments .
- Set an option .
- Setup the first tile .
glymur Key Features
glymur Examples and Code Snippets
$ time convert sekscir25.jp2 x.jpg
real 0m25.378s
user 0m24.832s
sys 0m0.544s
$ time convert sekscir25.jp2 -crop 100x100+0+0 x.png
real 0m19.887s
user 0m19.380s
sys 0m0.504s
$ t
vips dzsave image.mrxs targetdirectoryname --depth one --tile-size 2048 --overlap 0
Community Discussions
Trending Discussions on glymur
QUESTION
I am trying to read and tile a jp2 image file. The image is RGB 98176 x 80656 pixels (it is medical image data).
When trying to read the image with glymur I get this error:
...ANSWER
Answered 2017-Apr-20 at 13:14The standard thing for reading huge medical images is openslide, I'd try that first. I'm not sure it will read jp2 directly, but assuming this is from a slide scanner, perhaps you could save in one of the formats that openslide supports?
ImageMagick will load sections of large jp2 images via OpenJPEG, though it's not especially quick. I have a 10k x 10k jp2 image here, for example, and if I convert to JPG I see:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install glymur
You can use glymur like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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