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EpicDiscussions and broad multi-issue ideasDiscussions and broad multi-issue ideasenhancementEnhancements to existing featuresEnhancements to existing features
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This is an Epic to help organize the overall efforts to improve PlantCV workflow parallelization. There are three main components to workflow parallelization:
- Metadata processing/handling
- Workflow handling
- Parallelization
Various improvements have been suggested for both areas. We will attempt to subdivide these into discreet issues as much as possible, but many improvements will be inherently interlinked. Areas of improvement are (in no particular order):
- Update input parameter names for consistency update flags in to be more consistent between a workflow and plantcv-workflow.py #470
- Utilize configuration files instead of lengthy command-line options update flags in to be more consistent between a workflow and plantcv-workflow.py #470
- Image grouping or aggregation for data series (e.g. multi-frame image sets, co-processing, etc.) parallel pipeline for image series #423
- Adding metadata directly in workflows Is it possible to manually add metadata to a non-workflow job? #490
- Improve/expand valid metadata terms
- Allow multiple metadata terms in the metadata filter Valid metadata in plantcv-workflow.py cannot be duplicated #385 'match' multiple values of same metadata field #461
- New batch processing system(s) New function: Add queuing system/batch processing option #28
- Store timestamps in ISO 8601 format Store timestamps in ISO 8601 format #474
Will update if I missed anything or plans change.
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EpicDiscussions and broad multi-issue ideasDiscussions and broad multi-issue ideasenhancementEnhancements to existing featuresEnhancements to existing features