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Summary: Run parallel processes whose number is not known in advance but depends on a pipeline input
Description:
A pipeline will cut an image in fixed size sub-images then launch a process for each sub-image. The result of the sub-image processes will be integrated to generate a result. It could be a very simple processing that would compute the mean of each sub-image to compute a lower resolution image.
Participants: NA => single user
Datasets: A few images with different resolutions. It could be interesting to build a test case to assess the behavior of the platform with very big resolution images such as the ones handled in MIRCen.
Data flow: local image -> platform then platform -> local result
Security: NA
Workgroup(s): pipeline, metadata
The text was updated successfully, but these errors were encountered:
Author: Yann C. and Nicolas S.
Summary: Run parallel processes whose number is not known in advance but depends on a pipeline input
Description:
A pipeline will cut an image in fixed size sub-images then launch a process for each sub-image. The result of the sub-image processes will be integrated to generate a result. It could be a very simple processing that would compute the mean of each sub-image to compute a lower resolution image.
Participants: NA => single user
Datasets: A few images with different resolutions. It could be interesting to build a test case to assess the behavior of the platform with very big resolution images such as the ones handled in MIRCen.
Data flow: local image -> platform then platform -> local result
Security: NA
Workgroup(s): pipeline, metadata
The text was updated successfully, but these errors were encountered: