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Issue type (bug report or feature request): bug Operating system (e.g. Fedora 24, Mac OS 10.11, Windows 10): Debian 10 Platform (e.g. 64-bit x86, 32-bit ARM): x86-64 OpenSlide Python version (openslide.__version__): 1.1.2 OpenSlide version (openslide.__library_version__): 3.4.1 Slide format (e.g. SVS, NDPI, MRXS): MRXS
Details
Slides at level=0 are roughly 200,000 x 100,000 pixels. When trying to read_region 512x512 tiles from level=0 every tile takes anywhere between 40s to 2min to read. In contrast, when trying to read 512x512 tiles from level=1 (100,000 x 50,000 px) it only takes less than a second.
Is such a jump in extraction time expected?
The text was updated successfully, but these errors were encountered:
No, that isn't expected. If you're still having this problem, please post enough info to allow us to reproduce this, or at least post the relevant section of your Python code.
Having similar problems a year later. I am opening the slide, reading the region and saving it as a PNG image. Depending on the slide, it takes between 30 seconds to almost 3 minutes at times. Any suggestions?
Context
Issue type (bug report or feature request): bug
Operating system (e.g. Fedora 24, Mac OS 10.11, Windows 10): Debian 10
Platform (e.g. 64-bit x86, 32-bit ARM): x86-64
OpenSlide Python version (
openslide.__version__
): 1.1.2OpenSlide version (
openslide.__library_version__
): 3.4.1Slide format (e.g. SVS, NDPI, MRXS): MRXS
Details
Slides at level=0 are roughly 200,000 x 100,000 pixels. When trying to read_region 512x512 tiles from level=0 every tile takes anywhere between 40s to 2min to read. In contrast, when trying to read 512x512 tiles from level=1 (100,000 x 50,000 px) it only takes less than a second.
Is such a jump in extraction time expected?
The text was updated successfully, but these errors were encountered: