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Individually deconvolving light field images is inefficient when deconvolving a large set of images, #51. Creating a batch deconvolution feature would enable users to:
Select a folder for batch processing, automating the deconvolution processes
Users should have the option to select a whole folder containing multiple images, queuing them for batch processing. The same calibration file would be used for each deconvolution.
Distribute workload across multiple GPUs
For efficiency, this feature could also include the capability to distribute the image processing workload across multiple GPUs.
The text was updated successfully, but these errors were encountered:
Individually deconvolving light field images is inefficient when deconvolving a large set of images, #51. Creating a batch deconvolution feature would enable users to:
Select a folder for batch processing, automating the deconvolution processes
Users should have the option to select a whole folder containing multiple images, queuing them for batch processing. The same calibration file would be used for each deconvolution.
Distribute workload across multiple GPUs
For efficiency, this feature could also include the capability to distribute the image processing workload across multiple GPUs.
The text was updated successfully, but these errors were encountered: