Monocular-Vehicle-Localization
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Why you use the labels to generate the 3D centres?
I see the function " evaluate3d_detection()" in file “evaluation.py ”. And I find that you obtain the 3D centres based on the 2d labels. Also, the objects' 3D sizes are related to the samples' labels.
In file "predict.py", some preprocessing operatings which are before running the model for 3d prediction also refer to 2d labels.