lvwj19 / PPR-Net-plus

PPR-Net++: Accurate 6D Pose Estimation in Stacked Scenarios
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picked_idx = pred_conf_val[:,1] > 0.5 #17

Closed BharathRajM closed 1 year ago

BharathRajM commented 1 year ago

The confidence values are in negatives(-1.5,-1.76~), even while evaluating your trained model. Could you recheck this in line #128 of the evaluate.py?

lyl1140292193 commented 1 year ago

I encountered the same problem.While evaluating the h5 files in h5_dataset/bunny/cycle_0000.zip with the given trained model,the detected confidence values are all near to zero.Anyway,the selected data with threshold 0.5 is none.

lvwj19 commented 1 year ago

Thanks for your attention! We have fixed this problem,and you can try it again.

without confidence filter 9c6b906b8acc3c6594a2c6233f245446_

with confidence filter 3d63d63e18b179a0b003bc49b58536aa_