pointnet.pytorch
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fxia22
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Comparing your code to the official TensorFlow implementation I believe the kernel size ought to be 3 for the conv1 in the transformer network code ([starting here](https://github.com/fxia22/pointnet.pytorch/blob/master/pointnet.py#L65)). The official implementation...
Is the process of Download and build visualization tool necessary, especially the command bash download.sh #download dataset? Since I plan to run the code on a remote server which cannot...
Hi. I see that in this repo, STN is used for [ semantic segmentation case also](https://github.com/fxia22/pointnet.pytorch/blob/f0c2430b0b1529e3f76fb5d6cd6ca14be763d975/pointnet/model.py#L104). According to the author, for semantic segmentation T-Net mayn't be able to find a...
pytorch version: 1.4.0 torch.version.cuda: 10.0 Has any one engaged the same error as me? the torch.norm does work very well if I do on cuda: ``` def feature_transform_regularizer(trans): d =...
teacher: When I run show_cls.py i:1 loss: 2.079445 accuracy: 0.031250 i:2 loss: 2.079467 accuracy: 0.000000 i:3 loss: 2.079436 accuracy: 0.062500 i:4 loss: 2.079478 accuracy: 0.000000 i:5 loss: 2.079460 accuracy: 0.000000...
Hi there, I am planning to train pointnet++ on modelnet40 dataset. However, there are 6 values in the dataset rather than xyz coordinates only. On the github page, they said...
Hello, I have followed the steps to install and download the dataset, but why the loss value is always NAN, during training has not been solved after reducing the learning...
