Fix: single-person inference picks largest-area detection instead of highest-confidence#97
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TannerGilbert wants to merge 1 commit into
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Fix: single-person inference picks largest-area detection instead of highest-confidence#97TannerGilbert wants to merge 1 commit into
TannerGilbert wants to merge 1 commit into
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…highest-confidence Signed-off-by: Tanner, Gilbert <gilbertta@edu.aau.at>
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In
main/inference.py,process_mmdet_results(multi_person=True)sorts person detections by area, thenmmdet_box[0]is taken in single-person mode. This means a low-confidence noise box can win over the correct person whenever it happens to be slightly larger.Example (red is the one predictrred by SMPLer-X and green for example is predicted by YOLO)
As a solution I simply sorted the boxes by score.