CVMI-Lab/PLA 开源项目中文解读：技术栈、适用场景与上手建议

项目介绍

CVMI-Lab/PLA 是一个托管在 GitHub 上的开源项目，主要使用 Python 编写，采用 Apache License 2.0 许可证，目前获得 300 个 Star、12 次 Fork。

仓库全名: CVMI-Lab/PLA

README 摘要

PLA & RegionPLC This repo contains the official implementation of PLA (CVPR2023) and RegionPLC (CVPR 2024) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding Runyu Ding , Jihan Yang , Chuhui Xue , Wenqing Zhang , Song Bai &#8224 , Xiaojuan Qi &#8224 , CVPR 2023 project page | arXiv RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding Jihan Yang , Runyu Ding , Weipeng…

完整内容见 GitHub 原始 README 或本页。

常见问题

PLA 用什么语言开发？

主要使用 Python 编写，采用 Apache License 2.0 许可证，目前有 300 个 Star。

PLA 可以免费商用吗？

如何获取 PLA 的源码？

可以直接克隆仓库：git clone https://github.com/CVMI-Lab/PLA.git，默认分支为 main；安装与运行步骤见仓库 README。

PLA 最近还在维护吗？

仓库最近一次更新为 2024年6月28日，当前有 13 个未关闭 Issue；Star 数为 300，可作为社区活跃度的参考。

关于

(CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding

3d-scene-understanding cvpr2023 deep-learning open-vocabulary open-world

Apache License 2.0
300 Stars
12 Forks
13 Watching

描述取自 GitHub 官方 API，中文内容由 GitRead 中文社区编辑团队整理。

简要分析

热度分

337

价值分

184

活跃状态

活跃

GitHub

语言占比

C++

Cuda

Python

Shell

贡献者

Dingry

jihanyang

PLA & RegionPLC

This repo contains the official implementation of PLA (CVPR2023) and RegionPLC (CVPR 2024)

PLA: Language-Driven Open-Vocabulary 3D Scene Understanding

Runyu Ding^*, Jihan Yang^*, Chuhui Xue, Wenqing Zhang, Song Bai^†, Xiaojuan Qi^†,

CVPR 2023

project page | arXiv

RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding

Jihan Yang^*, Runyu Ding^*, Weipeng Deng, Zhe Wang, Xiaojuan Qi,

CVPR 2024

project page | arXiv

Highlights:

Official PLA implementation is contained in the main branch
Official RegionPLC implementation is contained in the regionplc branch

Release

[2024-05-05] Releasing RegionPLC implementation. Please checkout regionplc branch to try it!

Getting Started

Installation

Please refer to INSTALL.md for the installation.

Dataset Preparation

Please refer to DATASET.md for dataset preparation.

Training & Inference

Please refer to MODEL.md for training and inference scripts and pretrained models.

Citation

If you find this project useful in your research, please consider cite:

@inproceedings{ding2022language,
    title={PLA: Language-Driven Open-Vocabulary 3D Scene Understanding},
    author={Ding, Runyu and Yang, Jihan and Xue, Chuhui and Zhang, Wenqing and Bai, Song and Qi, Xiaojuan},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    year={2023}
}

@inproceedings{yang2024regionplc,
    title={RegionPLC: Regional point-language contrastive learning for open-world 3d scene understanding},
    author={Yang, Jihan and Ding, Runyu and Deng, Weipeng and Wang, Zhe and Qi, Xiaojuan},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    year={2024}
}

Acknowledgement

Code is partly borrowed from OpenPCDet, PointGroup and SoftGroup.

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