drprojects / superpoint_transformer

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"
MIT License
545 stars 71 forks source link

fix: inverted precision/recall confusion matrices #43

Closed CharlesGaydon closed 6 months ago

CharlesGaydon commented 10 months ago

What does this PR do?

The labels "precision" and "recall" are I think inverted. The precision CM should be the one normalized by column: looking at the diagonal value gives the precision i.e. the % of predicted class that is from the actual class.

No tests needed since this is a smal small change I guess.

Before submitting

Did you have fun?

Make sure you had fun coding 🙃

drprojects commented 9 months ago

Hi @CharlesGaydon thanks for this draft. I am currently out of office, will look into this when I come back.

drprojects commented 6 months ago

Hi this PR has stayed as a draft for a while now, so I am closing it. Feel free to re-open it with a final version if need be.