Point Cloud Classification - Keras Code Examples

This video walks through the Keras Code Example implementation of Point Cloud Classification. I had a tough time understanding what the TNET blocks are motivated by, but if interested the paper link is below. I hope this tutorial still provided a decent enough example of what point clouds are and how to load them into a Keras workspace. Thanks for watching, please check out the rest of the Keras Code Example playlist!

Content Links:
Point Cloud Classification - Keras Code Examples: https://keras.io/examples/vision/pointnet/
PointNet (Paper): https://arxiv.org/pdf/1612.00593.pdf
ModelNet (Dataset Project Page): https://modelnet.cs.princeton.edu/
Point Clouds (Wikipedia): https://en.wikipedia.org/wiki/Point_cloud
Trimesh library: https://trimsh.org/
3D Printing Stack Exchange: https://3dprinting.stackexchange.com/questions/4556/layman-term-explanation-of-the-difference-between-voxel-and-point-clou #:~:text=Pixels%20and%20voxels%20are%20rendering,cloud%20is%20a%20sampling%20technique.&text=I%20believe%20a%20point%20cloud,location%20and%20a%20cube%20area.
GeeksforGeeks raster vs vector graphics: https://www.geeksforgeeks.org/vector-vs-raster-graphics/
PyTorch Geometric: https://pytorch-geometric.readthedocs.io/en/latest/

Thanks for watching!

Point Cloud Chapters
0:00 Beginning
0:44 What are Point Clouds?
4:14 Download and Visualize Dataset
6:25 Point Cloud Data Augmentation
7:50 Model Architecture
15:50 Training and Evaluating the Model
18:08 Summary