Pointnet_Pointnet2_pytorch
                                
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                        confused about the inconsistent of input point number and the output point number
when testing, I used the data with more than 10,000 points and set the --num_point = 4028. But the pointnet2_part_seg_msg prediction result gave the prediction around 3200 points. I was confused and cannot figure out why. Can anyone help me? Thanks!
Shouldn't the model give the segmentation labels of all points, that is, more than 10,000 prediction results of the input testing model?
Hello, I have some questions to ask you. May I have your contact information?