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Kernel Point Convolution implemented in PyTorch

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Hi HuguesTHOMAS, Thank you for your implementaion of KPConv and sharing with us. When I finish train and test about Object Classification on ModelNet40, I run visualization scripts for the...

Usually, when using this code, I was getting calibration issues and things like that. But now, after the calibration passes correctly, I notice an "OOM error" in the middle of...

Hi Hugues, first of all, thank you for releasing the PyTorch Version of your code and especially for the link to your PhD thesis in one of the other issues....

Hello, I use the dataset sensaturban according to train_ S3DIS. Py training kpconv, without changing parameters, using two Birmingham_ block_ 0.ply to Birmingham_ block_ 4. Ply (all split into 2x2...

Hi, @HuguesTHOMAS ! Thank you for your excellent work! I'm trying to test the time-cost when model inference by: ![image](https://user-images.githubusercontent.com/40020015/177553089-e4de3699-8ada-45a8-8c96-69695acd3d99.png) I want to reduce the time-cost of the model inference,...

Hi Hugues, Firstly thanks again for releasing your code and some pretrained models. I've been working on this for a few days trying to see if it was possible to...

Hi Hugues Firstly thanks again for releasing your code and some pretrained models. I've been working on this for a few days trying to see if it was possible to...

Hello! very thanks for this code, its a great work. And I have a problem here. I downloaded your pretrain model, and use 'test_models.py' to test on S3DIS, but finally...

Hello, KPCONv-PyTorch is an excellent project. Does this project support 2d point cloud computing? We hope to promote cloud computing in more fields like digital health and imaging. Thank you...

Hi THOMAS, I'm using a similar dataset, but I don't have the calib.txt and times.txt files. What exactly do these provide to your implementation?