PRBonn / lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
http://semantic-kitti.org
MIT License
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Performance drop compared with pre-trained models #41

Closed ghost closed 4 years ago

ghost commented 4 years ago

Hello, I am trying to reproduce your experiments from scratch on the SemanticKitti. I am running the code on a node with 8x titan. But the performance of mine is lower than yours about 4 points. I have tested your pre-trained models, the performance is higer than mine. I also use the arch.yaml and data.yaml from your pre-trained models and I find the performance is similar to config/arch and config/labels.

test on your pre-trained models: darknet21 (noknn, 47.4) and darknet53 (noknn, 50.4) test on mine: darknet21 (noknn, 43.7) and darknet53 (noknn, 44.8)

what do you think the main difference between your training and mine? can you share the training log with me?

abhigoku10 commented 4 years ago

@xiaohuige1 did u solve it