Pointnet_Pointnet2_pytorch
DeepViewAgg
| Pointnet_Pointnet2_pytorch | DeepViewAgg | |
|---|---|---|
| 3 | 4 | |
| 3,187 | 215 | |
| - | - | |
| 0.0 | 4.8 | |
| 8 days ago | 8 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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Pointnet_Pointnet2_pytorch
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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)
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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?
DeepViewAgg
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[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
What are some alternatives?
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
torch-points3d - Pytorch framework for doing deep learning on point clouds.
pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
MonoScene - [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Pix2Vox - The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)
LAVIS - LAVIS - A One-stop Library for Language-Vision Intelligence
RAFT
transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
CapDec - CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)