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### 🐛 Describe the bug
To do point cloud classification for custom datasets, I followed
![image](https://github.com/pyg-team/pytorch_geometric/assets/47797625/dfc8eefd-f335-42bf-9881-90ac27dc5b0b)…
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We are working to train a lot of point cloud previosly well classified by Leica Cyclone 3DR. They have a different classificiation such curbs (74), sidewalk, (73), walls (100) amongs other. The reques…
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### 🐛 Describe the bug
Could you please let me know how I can do point cloud classification (e.g., using PointCNN) with additional input features? What should I change if I have point clouds with XYZ…
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It would be useful if there was an option to select all classes or deselect all classes at once, saving users time clicking checkboxes of ~20 classes.
Ideally both in layer styling panel _and_ in l…
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**Context**
In recent months I've been working with the CTLearn project due to my master's thesis. One on the main points was to compare the best model of CTLearn in mono (TRN) with a model used in p…
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First of all, thank you @charlesq34 for making this code available here.
I trained and tested your PointNet model on my system with the scripts available in the project making use of the dataset Mode…
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Hi Nicholas,
Thanks for open-sourcing your code. I am using this method for point-cloud classification problem.
I wanted to know what classification head did you use in SHREC'11 dataset? The cu…
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I set the operating_mode = Generate_semantic_sampled_points, but the point cloud that was supposed to be segmented and labeled was not generated. Could you please let me know if I made a mistake in th…
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Dear all,
I am using PointNet to classify LiDAR pointClouds. I have trained the model using ModelNet40 train data(2048 points, 150 epochs) and results are good when I try to classify objects using …