V3.0.2 - PyG-based implementation of RandLA-Net
Pre-release
Pre-release
Re-Implementation of the model in the Pytorch-Geometric framework - validated by the PyG community via a PR.
This enables to feed the model with variable size point clouds, and avoids data degradation due to subsampling, which significantly helps model accuracy.
What's Changed
- V2.4.2 smaller lr wd by @CharlesGaydon in #35
- PATCH: fix incomplete cloud splitting leading to border effects. by @CharlesGaydon in #36
- V2.4.2 Support for WeightedCrossEntropy by @CharlesGaydon in #37
- Push docker image to Nexus Repository in CICD Workflow by @MichelDaab in #41
Full Changelog: V2.4...V3.0.2
Contributors
CharlesGaydon and MichelDaab