Fixing the bug with two stage workflow and continue-if failing when nothing gets detected by primary model #777
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Description
We had a bug in the following setup:
object detection -> crop -> classification -> [downstream step]
,for any downstream block we could not correctly construct empty Batches of inputs whenever nothing was detected by primary model. Turned out to be stupid bug.
Type of change
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How has this change been tested, please provide a testcase or example of how you tested the change?
Any specific deployment considerations
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