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zhangych02 7c7bccd00a | 2 years ago | |
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.. | ||
auction_match | 2 years ago | |
chamfer_distance | 2 years ago | |
checkpoints | 2 years ago | |
data | 2 years ago | |
evaluation_code | 2 years ago | |
pointnet2 | 2 years ago | |
tf_ops | 2 years ago | |
utils | 2 years ago | |
KNN_CUDA-0.2-py3-none-any.whl | 2 years ago | |
README.md | 2 years ago | |
data_loader.py | 2 years ago | |
loss.py | 2 years ago | |
model.py | 2 years ago | |
test.py | 2 years ago | |
train.py | 2 years ago |
pip install KNN_CUDA-0.2-py3-none-any.whl
cd pointnet2
python setup.py install
The training data is put in folder ./data/train, and test data is in ./data/test.
python train.py
please install CGAL firstly, and then run python test.py
to generate prediction results in folder ./data/test/output, then copy the output into ./evaluation_code
cd evaluation
./evalution name.off name.xyz
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