Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
Hello,
As is the current state of SuperPoint Transformers, there was no clear issue template when users wanted to push github issue, leading to many issue duplicates.
I propose a simple but efficient 3 issue template ( inspired by open3D and this repo,
These templates are very generic. But, to me the most important are the tick boxes like: " have you read a similar issue ?" and " did you read the doc?’.I hope to reduce the number of issues and have more time to concentrate on the most challenging one .
Before submitting
[ x] Did you make sure title is self-explanatory and the description concisely explains the PR?
[x ] Did you make sure your PR does only one thing, instead of bundling different changes together?
[x ] Did you list all the breaking changes introduced by this pull request?
[x ] Did you test your PR locally with pytest command?
[ ] Did you run pre-commit hooks with pre-commit run -a command?
Hi @gardiens thanks a lot for your PR, this is definitely something I wanted to setup for a while ! I am in vacation at the moment, will look into it when I get back.
What does this PR do?
Hello, As is the current state of SuperPoint Transformers, there was no clear issue template when users wanted to push github issue, leading to many issue duplicates. I propose a simple but efficient 3 issue template ( inspired by open3D and this repo, These templates are very generic. But, to me the most important are the tick boxes like: " have you read a similar issue ?" and " did you read the doc?’.I hope to reduce the number of issues and have more time to concentrate on the most challenging one .
Before submitting
pytest
command?pre-commit run -a
command?Did you have fun?
Make sure you had fun coding 🙃