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.gitignore

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**__pycache__**
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**build**
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**egg-info**
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**dist**
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data/
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*.pyc
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venv/
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*.idea/
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*.so
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*.yaml
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*.sh
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*.pth
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*.pkl
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*.zip
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*.bin
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output/

LICENSE

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README.md

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# Voxel R-CNN
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<p align="center"> <img src='docs/voxel_rcnn_framework.jpg' align="center" height="270px"> </p>
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This is the official implementation of [**Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection**](https://arxiv.org/abs/2012.15712), built on [`OpenPCDet`](https://github.com/open-mmlab/OpenPCDet).
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@article{deng2020voxel,
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title={Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection},
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author={Deng, Jiajun and Shi, Shaoshuai and Li, Peiwei and Zhou, Wengang and Zhang, Yanyong and Li, Houqiang},
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journal={arXiv:2012.15712},
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year={2020}
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}
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### Installation
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1. Prepare for the running environment.
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You can either use the docker image we provide, or follow the installation steps in [`OpenPCDet`](https://github.com/open-mmlab/OpenPCDet).
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```
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docker pull djiajun1206/pcdet-pytorch1.5
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```
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2. Prepare for the data.
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Please download the official [KITTI 3D object detection](http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d) dataset and organize the downloaded files as follows (the road planes could be downloaded from [[road plane]](https://drive.google.com/file/d/1d5mq0RXRnvHPVeKx6Q612z0YRO1t2wAp/view?usp=sharing), which are optional for data augmentation in the training):
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```
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Voxel-R-CNN
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├── data
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│ ├── kitti
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│ │ │── ImageSets
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│ │ │── training
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│ │ │ ├──calib & velodyne & label_2 & image_2 & (optional: planes)
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│ │ │── testing
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│ │ │ ├──calib & velodyne & image_2
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├── pcdet
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├── tools
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```
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3. Setup.
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```
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python setup.py build develop
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```
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### Getting Started
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1. Training.
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The configuration file is in tools/cfgs/voxelrcnn, and the training scripts is in tools/scripts.
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```
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cd tools
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sh scripts/train_voxel_rcnn.sh
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```
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2. Evaluation.
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The configuration file is in tools/cfgs/voxelrcnn, and the training scripts is in tools/scripts.
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```
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cd tools
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sh scripts/eval_voxel_rcnn.sh
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```
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### Acknowledge
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Thanks to the strong and flexible [`OpenPCDet`](https://github.com/open-mmlab/OpenPCDet) codebase maintained by Shaoshuai Shi ([@sshaoshuai](http://github.com/sshaoshuai)) and Chaoxu Guo ([@Gus-Guo](https://github.com/Gus-Guo)).
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### Contact
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This repository is implemented by Jiajun Deng (dengjj@mail.ustc.edu.cn).

docs/voxel_rcnn_framework.jpg

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pcdet/__init__.py

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import subprocess
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from pathlib import Path
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from .version import __version__
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__all__ = [
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'__version__'
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]
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def get_git_commit_number():
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if not (Path(__file__).parent / '../.git').exists():
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return '0000000'
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cmd_out = subprocess.run(['git', 'rev-parse', 'HEAD'], stdout=subprocess.PIPE)
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git_commit_number = cmd_out.stdout.decode('utf-8')[:7]
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return git_commit_number
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script_version = get_git_commit_number()
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if script_version not in __version__:
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__version__ = __version__ + '+py%s' % script_version

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