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pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
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| 2026-07-31 | 2356 |
| 2026-08-04 | 2355 |
| 2026-08-06 | 2355 |
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# PointNet.pytorch This repo is implementation for PointNet(https://arxiv.org/abs/1612.00593) in pytorch. The model is in `pointnet/model.py`. It is tested with pytorch-1.0. # Download data and running ``` git clone https://github.com/fxia22/pointnet.pytorch cd pointnet.pytorch pip install -e . ``` Download and build visualization tool ``` cd scripts bash build.sh #build C++ code for visualization bash download.sh #download dataset ``` Training ``` cd utils python train_classification.py --dataset <dataset path> --nepoch=<number epochs> --dataset_type <modelnet40 | shapenet> python train_segmentation.py --dataset <dataset path> --nepoch=<number epochs> ``` Use `--feature_transform` to use feature transform. # Performance ## Classification performance On ModelNet40: | | Overall Acc | | :---: | :---: | | Original implementation | 89.2 | | this implementation(w/o feature transform) | 86.4 | | this implementation(w/ feature transform) | 87.0 | On [A subset of shapenet](http://web.stanford.edu/~ericyi/project_page/part_annotation/index.html) | | Overall Acc | | :---: | :---: | | Original implementation | N/A | | this implementation(w/o feature transform) | 98.1 | | this implementation(w/ feature transform) | 97.7 | ## Segmentation performance Segmentation on [A subset of shapenet](http://web.stanford.edu/~ericyi/project_page/part_annotation/index.html). | Class(mIOU) | Airplane | Bag| Cap|Car|Chair|Earphone|Guitar|Knife|Lamp|Laptop|Motorbike|Mug|Pistol|Rocket|Skateboard|Table | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | | Original implementation | 83.4 | 78.7 | 82.5| 74.9 |89.6| 73.0| 91.5| 85.9| 80.8| 95.3| 65.2| 93.0| 81.2| 57.9| 72.8| 80.6| | this implementation(w/o feature transform) | 73.5 | 71.3 | 64.3 | 61.1 | 87.2 | 69.5 | 86.1|81.6| 77.4|92.7|41.3|86.5|78.2|41.2|61.0|81.1| | this implementation(w/ feature transform) | | | | | 87.6 | | | | | | | | | | |81.0| Note that this implementation trains each class separately, so classes with fewer data will have slightly lower performance than reference implementation. Sample segmentation result:  # Links - [Project Page](http://stanford.edu/~rqi/pointnet/) - [Tensorflow implementation](https://github.com/charlesq34/pointnet)
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Fei Xia · Google, Inc. · United States
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Elliott Zheng
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Rana Hanocka · Assistant Professor
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:dc263c481b057b0a, llm:Description: pytorch implementation for 'PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation' (3D point cloud deep learning).
matched fp:dc263c481b057b0a, llm:Description: pytorch implementation for 'PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation' (3D point cloud deep learning).