TiagoCortinhal / SalsaNext

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

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The miou of the pretrained model on semantickitty is only about 58.97.

Xavier-wa opened this issue · comments

Nice Work! But I have some problem about the miou of the pretrained model on semantickitty,when I upload the result of evalution,It is only 58.98 but not 59.5
微信图片_20240227104357

my results on semantickitti seq 08 is 0.558?

my results on semantickitti seq 08 is 0.558?

you can modify the KNN["use"] to True and try again

commented

my results on semantickitti seq 08 is Acc avg 0.016 IoU avg 0.005 with parameters and ./eval.sh -d /mnt/500_SSD/dataset/semantic-kitti/ -m pretrained -p preds -s valid -c 30

postproc parameters

post:
CRF:
use: False
train: True
params: False # this should be a dict when in use
KNN:
use: False # This parameter default is false
params:
knn: 5
search: 5
sigma: 1.0
cutoff: 1.0