Add Owlv2; Add option to use owlvit / owlv2's image preprocessing procedure (the roi_align in current implementation processes images differently and results in distribution shifts and subpar performance) #23
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no_roi_align
) in theOwlPredictor
class ofnanoowl/owl_predictor.py
to use the original owlvit / owlv2 implementation's image preprocessing procedure. From my debugging, I find that the current nanoowl repo preprocesses images differently from the original owlvit / owlv2 implementations due to the use of "roi_align". This causes the larger models (base-16, large-14) to perform subpar compared to the original owlvit / owlv2. Passing inno_roi_align=True
fixes this issue.nms_threshold
) to use non-maximal suppression bounding box filtering