A MXNet implemetation of PointCNN
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LICENSE
README.md
data_utils.py
dotdict.py
download_datasets.py
fpsop.py
mxutils.py
pointcnn.py
pointcnn_cls.py
prepare_mnist_data.py

README.md

PointCNN.MX

This is a MXNet implementation of PointCNN. It is as efficent as the origin Tensorflow implemetation and achieves same accuracy on both classification and segmentaion jobs. See the following references for more information:

"PointCNN"
Yangyan Li, Rui Bu, Mingchao Sun, Baoquan Chen
arXiv preprint arXiv:1801.07791, 2018.

https://arxiv.org/abs/1801.07791

Usage

We've tested code on MNIST only.

python ./download_datasets.py -d mnist -f ./
python ./prepare_mnist_data.py -f ./mnist/zips
python ./pointcnn_cls.py

License

Our code is released under MIT License (see LICENSE file for details).