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If there is not enough GPU memory to process the data, fail gracefully
and proceed to the next data set when running in batch mode
Depending on how large the stack is, GPU memory errors occur
…
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While looking for solutions to also perform GPU-accelerated decon on non-CUDA GPUs I just noticed that gputools also has a RL deconvolution built on the Reikna OpenCL fft. A first test in a Jupyter no…
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```
---------------------------------------------------------------------------
MemoryError Traceback (most recent call last)
in
----> 1 ep.process_stack_subfolder(…
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The IDR has grown substantially since its initial release. As of this writing it has nearly 100 TB of data from over 50 studies. The IDR is heavily used, receiving more than 100,000 hits per day and s…
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Currently a lot of names, including the url, uses "lightsheet" rather than some form of image processing pipeline. We should update these with a standard - more generic - name.
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This library really rocks!
Feature request: The voxel sizes for the images to be deconvolved do not always match the voxel sizes of the measured PSF. Can you these be added as parameters and have …
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Sometimes errors while running CNMF occur during parallel processi…
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both gputools (which used reika for fft) and flowdec run out of GPU memory when trying to process a stack of size (151, 800, 600).
Depending on what I am trying do exactly the error message in te…
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While running CElegans - Multiple Channel Example.ipynb
Also had a quick look at the source, and could not track tfdecon down, but could be blind.
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## 🚀 Feature
Natively support lazily-defined arrays, e.g. memory-mapped arrays, distributed dask arrays, etc.
## Motivation
For large arrays that don't fit in memory (e.g., light sheet microscopy…
d-v-b updated
5 years ago