Hi,
How to inference point clouds with different point numbers for part segmentation or semantic segmentation?
The number of points in my dataset is around 15,000. I randomly sampled 2048 points at a time during training.
When testing, I want to get the predicted label for each point.
Should I feed the whole point cloud into the network at once (with batchsize=1)?
Will the difference in points between training and testing (2048 vs 15,000) damage performance?
Or should I sample 2048 points at a time until all points are predicted?
Hi, How to inference point clouds with different point numbers for part segmentation or semantic segmentation? The number of points in my dataset is around 15,000. I randomly sampled 2048 points at a time during training.
When testing, I want to get the predicted label for each point. Should I feed the whole point cloud into the network at once (with batchsize=1)? Will the difference in points between training and testing (2048 vs 15,000) damage performance? Or should I sample 2048 points at a time until all points are predicted?
Thank you so much!