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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: keras.io/examples/vision/poin...
PointNet (Paper): arxiv.org/pdf/1612.00593.pdf
ModelNet (Dataset Project Page): modelnet.cs.princeton.edu/
Point Clouds (Wikipedia): en.wikipedia.org/wiki/Point_c...
Trimesh library: trimsh.org/
3D Printing Stack Exchange: 3dprinting.stackexchange.com/....
GeeksforGeeks raster vs vector graphics: www.geeksforgeeks.org/vector-...
PyTorch Geometric: pytorch-geometric.readthedocs...
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