Skip to content

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

License

Notifications You must be signed in to change notification settings

coallar/pointnet.pytorch

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

48 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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 script
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

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.

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: seg

Links

About

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 94.8%
  • C++ 3.8%
  • Shell 1.4%