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I have a case of CT data with readouts from real detectors.
For some reasons related to the measurement process, there are identical consecutive angular values in the trajectory array.
This raises the error ValueError: vector 1 contains duplicates
when parsing the angular partition using odl.nonuniform_partition(np.unwrap(angles))
Please find the whole angular readout below
I use odl version 1.0.0.dev0
Is there a way to pre-process the data in the background to keep only one occurrence of the consecutive identical values for the case of CT data from real detectors?
The text was updated successfully, but these errors were encountered:
I have a case of CT data with readouts from real detectors.
For some reasons related to the measurement process, there are identical consecutive angular values in the trajectory array.
This raises the error
ValueError: vector 1 contains duplicates
when parsing the angular partition using
odl.nonuniform_partition(np.unwrap(angles))
Please find the whole angular readout below
I use odl version 1.0.0.dev0
Is there a way to pre-process the data in the background to keep only one occurrence of the consecutive identical values for the case of CT data from real detectors?
The text was updated successfully, but these errors were encountered: