DeepViewAgg
Pointnet_Pointnet2_pytorch
DeepViewAgg | Pointnet_Pointnet2_pytorch | |
---|---|---|
4 | 3 | |
215 | 3,219 | |
- | - | |
4.8 | 0.0 | |
9 months ago | 20 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DeepViewAgg
-
[R] [CVPR 2022 Oral] Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Code for https://arxiv.org/abs/2204.07548 found: https://github.com/drprojects/DeepViewAgg
- [R] [CVPR2022 Oral] Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
- [CVPR 2022 Oral] Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Pointnet_Pointnet2_pytorch
-
Help me understand how to use this PointNet implementation (pytorch, point cloud classification)
here is a sample from one of these log files
I am trying to use this implementation of PointNet (GitHub repo)
-
Are the New M1 Macbooks Any Good for Deep Learning? Let’s Find Out
Here you go: https://github.com/yanx27/Pointnet_Pointnet2_pytorch - no need for any custom cuda code.
Note the cuda kernels in the original repo were added in August 2017. It might have been the case at the time they needed them, but again, if you need to do something like that today, you're probably an outlier. Modern DL library have a pretty vast assortment of ops. There have been a few cases in the last couple of years when I thought I'd need write a custom op in cuda (e.g. np.unpackbits) but every time I found a way to implement it with native Pytorch ops.
If you're doing DL/CV research, can you give an example from your own work where you really need to run custom cuda code today?
What are some alternatives?
torch-points3d - Pytorch framework for doing deep learning on point clouds.
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.