KPConv-PyTorch
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config for different datasets
Hello, thank you for your innovative work. I would like to ask how the config of different datasets is determined?
The config for different datasets is mostly the same, only some data related parameters should change. There are numbers of issues where I already talked about config parameters. You can search in these previous issues for more details.
A few example: https://github.com/HuguesTHOMAS/KPConv-PyTorch/issues/90 https://github.com/HuguesTHOMAS/KPConv-PyTorch/issues/72 https://github.com/HuguesTHOMAS/KPConv-PyTorch/issues/5
Thanks. I have another question: which variable represents each point feature or the extracted point feature.
The point features are in the outputs of the network: https://github.com/HuguesTHOMAS/KPConv-PyTorch/blob/73e444d486cd6cb56122c3dd410e51c734064cfe/utils/trainer.py#L188
You can see them used in the validation function: https://github.com/HuguesTHOMAS/KPConv-PyTorch/blob/73e444d486cd6cb56122c3dd410e51c734064cfe/utils/trainer.py#L480-L484