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Some things to be aware of for future work on Potree.
- Handling large number of individual point clouds
- Better control of near/far plane. Perhaps allow custom values as well.
## Attributes
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I have converted a point cloud using Potree Converter 2.0. I am attempting to view the contents in Potree 1.7.2 client. I have added some custom user defined classifications which display correctly.…
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Hi,
I have a classified point cloud dataset in .pnts format.
I tried using the upgrade command to convert pnts dataset to glb, but it seems that I've lost the classification attribute in the process…
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### **Context:**
Hi there! I'm from the OTH Regensburg Formula Student Team and we are looking to contribute and utilize the dataset from your repository. Currently, I am in the process of exporting …
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Hello I was wondering what the quality of the point clouds have to be to successfully have the algorithms work. I have tried to pass this simple point cloud of a tomato plant leaf and stems and it app…
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'Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis' is a good paper with 3D-GCN, whose funciton contain graph classification and node ca…
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'Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis' is a good paper with 3D-GCN, whose funciton contain graph classification and node cals…
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**Describe the bug**
It only happens when locally served reality models are used (cloud served reality data seems to work).
It appears nothing is saved from the settings except the Reality Model
It…
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Hi @mattbv, @philwilkes. I've been getting this error when loading a NumPy array into automated_separation.generic_tree(). The array is the correct dimension. This error isn't present when using tlsep…
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Want to estimate the volume regression (further weight regression) on an object in point cloud, while PointNet is for classification and segmentation, can I change the last layers for volume regressio…