Hi,
thank you for sharing your code!
I am trying to use Semantic Segmentation to segment my point cloud data with 2 classes of labels (0 and 1). I modified the code for the train.py file, but I am getting confused with the batch_interference.py file since the used data has rooms and blocks and is more complicated. Has anyone tried using this with less labels like my example before?
Hi, thank you for sharing your code! I am trying to use Semantic Segmentation to segment my point cloud data with 2 classes of labels (0 and 1). I modified the code for the train.py file, but I am getting confused with the batch_interference.py file since the used data has rooms and blocks and is more complicated. Has anyone tried using this with less labels like my example before?