the effect of semantic segmentation about semantic_suma HOT 3 CLOSED

Please see the solutions provided in PRBonn/rangenet_lib#9 related to Nvidia's RTX Series which are as follows:

1.The rightcombination of CUDA and TensorRT.
2. Others had success with using another ONNX version.
3. Finally, a change in the codecould resolve it: PRBonn/rangenet_lib#9 (comment)

Hope one of the described solutions works.

from semantic_suma.

Please see the solutions provided in PRBonn/rangenet_lib#9 related to Nvidia's RTX Series which are as follows:

1.The rightcombination of CUDA and TensorRT.
2. Others had success with using another ONNX version.
3. Finally, a change in the codecould resolve it: PRBonn/rangenet_lib#9 (comment)

Hope one of the described solutions works.

thank you.i used the third way to slove it.the model darknet53 can be useful in kitti velodyne while it doesnt work in my data.i will learn https://github.com/PRBonn/lidar-bonnetal to train a model that fits my own data.

from semantic_suma.

Hey @ACFFF, since the problem was solved, I'm going to close this issue.

If there is any further problem, please re-open it again.

from semantic_suma.