Pointnet_Pointnet2_pytorch
mmrazor
Pointnet_Pointnet2_pytorch | mmrazor | |
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3 | 4 | |
3,187 | 1,365 | |
- | 1.4% | |
0.0 | 2.8 | |
7 days ago | 19 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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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?
mmrazor
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMRazor: OpenMMLab model compression toolbox and benchmark.
- Still worrying about model compression? MMRazor may work for you.
- Still worrying about model compression? MMRazor is all you need
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[P] 4.5 times faster Hugging Face transformer inference by modifying some Python AST
https://github.com/open-mmlab/mmrazor ,it may work for you~
What are some alternatives?
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
transformer-deploy - Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Pix2Vox - The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)
PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
RAFT
ttach - Image Test Time Augmentation with PyTorch!
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
sparsednn - Fast sparse deep learning on CPUs