This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".

Last update: Nov 30, 2022

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Overview

TreePartNet

This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".

Dependecy and Setup

The project is tested on Ubuntu 18.04 with cuda10.1.

Requirements:

python==3.7
pytorch==1.5.0
pytorch-lightning==0.8.5

The PointNet++ pytorch implementation is modified from Pointnet2_Pytorch. Install dependencies:

pip install -r requirements.txt

Data

The gravity direction in tree point cloud is down along y-axis! All tree point cloud are normalized. see the code in utils for more details.

Dataset for foliage segmentation: 16K points per tree, hdf5 format, Download Link
Dataset for neural decomposition: 8K points per tree, hdf5 format, Download Link

Training

After downloading the data and put them in data folder, the foliage segmentation network can be trained as

python train_foliage.py

and the TreePartNet can be trained using

python train.py

The hyperparameters can be modified in these 2 python files.

Testing

The trained checkpoints can be found in dir fckpt and ckpt. To predict foliage segmentation on test data set above:

python test_foliage.py

and neural decomposition:

python test.py

Reference

If you find our work useful in your research, please cite us using the following BibTeX entry.

@article{TreePartNet21,
title={TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction},
author={Yanchao Liu and Jianwei Guo and Bedrich Benes and Oliver Deussen and Xiaopeng Zhang and Hui Huang},
journal={ACM Transactions on Graphics (Proceedings of SIGGRAPH ASIA)},
volume={40},
number={6},
pages={232:1--232:16},
year={2021},
}

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Comments

Getting The Skeletons And The Meshes

I am trying to get the skeletons as shown in Figure 2.f in your paper and the surface meshes but I can't find it in the source code. Is it implemented ?

opened by chekirou 1
Error while running 'pip install ./pointnet2_ops_lib/'

Hello, I am trying to do the setup for using Treepartnet. My environment contains Python = 3.7.13 , cuda=11.5 and pytorch=1.5.0. If I try running "pip install -r requirements.txt" I receive the following errors during the compiling:

`/home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/.../TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/ball_query.o: 没有那个文件或目录 /home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/.../TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/ball_query_gpu.o: 没有那个文件或目录 /home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/.../TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/bindings.o: 没有那个文件或目录 /home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/.../TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/group_points.o: 没有那个文件或目录 /home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/.../TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/group_points_gpu.o: 没有那个文件或目录 /home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/.../TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/interpolate.o: 没有那个文件或目录 /home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/...TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/interpolate_gpu.o: 没有那个文件或目录 /home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/.../TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/sampling.o: 没有那个文件或目录 /home/anaconda3/envs/wyy/compiler_compat/ld: cannot find /home/.../TreePartNet/pointnet2_ops_lib/build/temp.linux-x86_64-cpython-37/pointnet2_ops/_ext-src/src/sampling_gpu.o: 没有那个文件或目录 collect2: error: ld returned 1 exit status error: command '/usr/bin/g++' failed with exit code 1 [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure

× Encountered error while trying to install package. ╰─> pointnet2-ops

note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure.` I need help,thanks!!!!!!!!!!

opened by zhengqianisme 1

How do you access ground truth skeleton data?

Hi there,

Could you please advise how I can access your ground truth skeletons? Here is what I got so far:

def main():

    f = h5py.File('../data/treepartnet/tree_labeled_train.hdf5','r')


    point_set, normal, labels, pr = f['points'][0], f['normals'][0], f['primitive_id'][0], f['codebook'][0]

    skeleton = point_set - np.expand_dims(labels,-1) * normal 


    skeleton_pcd = o3d.geometry.PointCloud()
    skeleton_pcd.points = o3d.utility.Vector3dVector(skeleton)
    skeleton_pcd.paint_uniform_color((1, 0, 0))

    pcd = o3d.geometry.PointCloud()
    pcd.points = o3d.utility.Vector3dVector(point_set)
    pcd.paint_uniform_color((0, 1, 0))
    
    o3d.visualization.draw_geometries([pcd, skeleton_pcd])

Kind regards, Harry

opened by harry1576 12

Owner

刘彦超

KISS(Keep It Simple & Stupid)

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This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".

Related tags

Overview

TreePartNet

Dependecy and Setup

Data

Training

Testing

Reference

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Getting The Skeletons And The Meshes

Error while running 'pip install ./pointnet2_ops_lib/'

How do you access ground truth skeleton data?

Owner

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