DM-18552: Allow use of new and old brighter-fatter kernels. #84
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
For gen2 ISR, move handling of new style (cp_pipe) and old style (numpy.ndarray) brighter-fatter kernels entirely into IsrTask.readIsrData() method. Based on the configuration, this should attempt to find the appropriate style, and optionally pull the kernel for the detector to process. Internally, the kernel is still passed as the single numpy.ndarray needed for the processing.
mfisherlevine
approved these changes
Mar 21, 2019
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
For gen2 ISR, move handling of new style (cp_pipe) and old style
(numpy.ndarray) brighter-fatter kernels entirely into
IsrTask.readIsrData() method. Based on the configuration, this should
attempt to find the appropriate style, and optionally pull the kernel
for the detector to process. Internally, the kernel is still passed
as the single numpy.ndarray needed for the processing.