Comments (1)
decided to give up on this feature as it requires transferring the data off the GPU at each iteration.
Probably easier to just try with a few different settings.
from lattice_lightsheet_deskew_deconv.
Related Issues (20)
- Think about deployment for end-users HOT 1
- Real-Time deskew visualization HOT 15
- Add scale to processed tiffs HOT 1
- fixed camera background subtraction - clip at 0, allow negative ? Also include for PSF. HOT 1
- openCL error HOT 6
- Assertion error in tensorflow
- PSF management - lattice pattern in file name
- include gputools.deconv as deconvolution backend HOT 3
- Performance in batch mode HOT 5
- artefacts introduced by rotate to coverslip HOT 6
- Artefacts on RTX 2080 Ti HOT 1
- Architecture not well-suited for multiprocessing due to pickling limitations HOT 9
- Not enough GPU ram ... make a "slow" option HOT 12
- psf generation - change to two stage affine to avoid artefacts HOT 1
- reuse PSF
- Fail gracefully when out of GPU memory HOT 1
- bug: incompatible shapes HOT 4
- psf z_galvo step extraction fails for 20190802 dataset HOT 1
- CPU version — ModuleNotFoundError: No module named 'numpy.core._multiarray_umath' HOT 6
- Allow deskewing when no PSF is present
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from lattice_lightsheet_deskew_deconv.