Comments (1)
In some experiments, we iterate over epochs in the inference to generate multiple predictions for each input data, then we can slightly improve the results via voting.
You can set the number of epochs to 1 if voting is not needed.
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Related Issues (20)
- git checkout 6bfc5ca error HOT 4
- It requires either way Nvidia graphics card right? HOT 1
- pytorch installation error on Ubuntu 20.04, gcc 9.3.0 HOT 2
- Any plan for releasing a pytorch implementation of the Adaptive O-CNN? HOT 1
- error testing O-CNN under pytorch after building HOT 3
- error in installation HOT 2
- How to use pretrained pytorch O-CNN model in C++? HOT 3
- Point cloud -> octree -> point cloud
- How to split a batched octree to raw octree HOT 4
- Inference using my own point cloud on Scannet dataset HOT 1
- How long does it take to use ScanNet dataset training model? HOT 2
- Met cublas error when running test_all.py after a pytorch build HOT 3
- Got low accuracy results for Scannet per-point prediction HOT 1
- cmake installation error HOT 1
- Tensorflow.python.framework.errors_impl.NotFoundError HOT 1
- This repo is missing important files
- Understanding about 3D convolution and pool process on octree HOT 2
- Need to process individual shape features and merge them again according to batched merged octrees
- Octree->Points/Volume in Pytorch
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