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Hi guys, i am new to the 3d object detection, can anybody explain the result output by evaluator.py on validation means?
precision_image: [[ 0.964873 0.9521195 0.9267832] [-1. -1. -1. ] [-1. -1. -1. ]] precision_ground: [[ 0.9278019 0.8908308 0.8651091] [-1. -1. -1. ] [-1. -1. -1. ]] precision_3d: [[ 0.9127641 0.82593334 0.79932135] [-1. -1. -1. ] [-1. -1. -1. ]]
I don't know what exactly precision_image/ground/3d means, and what the difference are they?
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Hi guys, i am new to the 3d object detection, can anybody explain the result output by evaluator.py on validation means?
I don't know what exactly precision_image/ground/3d means, and what the difference are they?
The text was updated successfully, but these errors were encountered: