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by ge96
513 days ago
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I think this has been done for public places. A lazy approach (not using ML) is cropping/contour finding, then masking (opencv) against an empty parking lot, so if something is there like a car, would change the result. The black parking lot would change in shade/hue so have to account for a range. |
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The complexity maybe comes in in identifying our cars parked there vs someone else’s, so maybe I need number plate recognition. However my camera would be top down so likely no number plate would be visible.
Any thoughts/recommendations are helpful