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Allow Object Detector ROI to guide ISP exposure
Start with the why:
When doing object detection, often the object (once found) is of most interest. So having the ROI of the object detector (e.g. the highest-confidence object class of interest) would allow the object detector to increase the probability that it continues to find the object as lighting/etc. changes.
Move to the how:
Implement an optional feedback hook in the ISP processing such that the ROI that is parsed in ISP is purely from the object detector ROI.
Move to the what:
Object-Detector-based exposure for better object detection in variable lighting conditions.
This is now implemented and has an example of how to do so, here: https://github.com/luxonis/depthai-python/pull/113