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Hongzhi (Steve), Chen 704bcaf6dd | 1 year ago | |
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README.md | 3 years ago | |
main.py | 1 year ago | |
model.py | 1 year ago | |
modelnet.py | 1 year ago |
This is a reproduction of the paper Dynamic Graph CNN for Learning on Point
Clouds.
The reproduced experiment is the 40-class classification on the ModelNet40
dataset. The sampled point clouds are identical to that of
PointNet.
To train and test the model, simply run
python main.py
The model currently takes 3 minutes to train an epoch on Tesla V100, and an
additional 17 seconds to run a validation and 20 seconds to run a test.
The best validation performance is 93.5% with a test performance of 91.8%.
h5py
tqdm
No Description
Python C++ Jupyter Notebook Cuda Text other
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