Awesome
PointGrid: A Deep Network for 3D Shape Understanding
Prerequisites:
- Python (with necessary common libraries such as numpy, scipy, etc.)
- TensorFlow
- You need to prepare your data in *.mat file with the following format:
- 'points': N x 3 array (x, y, z coordinates of the point cloud)
- 'labels': N x 1 array (1-based integer per-point labels)
- 'category': scalar (0-based integer model category)
Train:
python train.py
Test:
python test.py
If you find this code useful, please cite our work at <br />
<pre> @article{PointGrid, author = {Truc Le and Ye Duan}, titile = {{PointGrid: A Deep Network for 3D Shape Understanding}}, journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2018}, } </pre>