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PRBonn / MaskPLS

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving, RA-L, 2023
MIT License
54 stars 7 forks source link

How to test a point cloud or a set of points prepared by myself? #9

Closed KkCabin closed 1 year ago

KkCabin commented 1 year ago

Hi,

Thank you for your outstanding work. I have a question, how can I test the results on my own dataset? For example, input a point cloud or a set of point clouds and store the results after instances segmentation

rmarcuzzi commented 1 year ago

Hi! You should create a dataloader to load the points and intensities following the SemanticDataset class. Once you can run your forward pass loading the weights, you'll have the semantic and instance predictions for each input point in the test step.

KkCabin commented 1 year ago

Hi! You should create a dataloader to load the points and intensities following the SemanticDataset class. Once you can run your forward pass loading the weights, you'll have the semantic and instance predictions for each input point in the test step.

Ok, thank you for your response😊. I'll have a try.