View mmdet3d on Snyk Open Source Advisor

Package Health Score

68 / 100

security
Security review needed
popularity
Recognized
maintenance
Inactive
community
Active

Popularity

Recognized

GitHub Stars: 5.4K
Forks: 1.56K
Contributors: 100

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package mmdet3d, we found that it has been starred 5,402 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jan 8, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 1
H
4
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

We found a way for you to contribute to the project! Looks like mmdet3d is missing a security policy.

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

Keep your project free of vulnerabilities with Snyk

Maintenance

Inactive

Commit Frequency

Open Issues: 530
Open PR: 74
Last Release: 12 months ago
Last Commit: 12 months ago

Further analysis of the maintenance status of mmdet3d based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

We found that mmdet3d demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 100
Funding: No

With more than 10 contributors for the mmdet3d repository, this is possibly a sign for a growing and inviting community.

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Python Versions Compatibility: ==3.7.*, ==3.8.*, ==3.9.*

Age: 4 years
Latest Release: 12 months ago
Dependencies: 10 Direct / 157 Total
Versions: 35
Maintainers: 1
Wheels: OS Independent

Readme

OpenMMLab website ^HOT OpenMMLab platform ^{TRY IT OUT}

English | 简体中文

Introduction

MMDetection3D is an open source object detection toolbox based on PyTorch, towards the next-generation platform for general 3D detection. It is a part of the OpenMMLab project.

The main branch works with PyTorch 1.8+.

demo image

Major features

Support multi-modality/single-modality detectors out of box

It directly supports multi-modality/single-modality detectors including MVXNet, VoteNet, PointPillars, etc.
Support indoor/outdoor 3D detection out of box

It directly supports popular indoor and outdoor 3D detection datasets, including ScanNet, SUNRGB-D, Waymo, nuScenes, Lyft, and KITTI. For nuScenes dataset, we also support nuImages dataset.
Natural integration with 2D detection

All the about 300+ models, methods of 40+ papers, and modules supported in MMDetection can be trained or used in this codebase.
High efficiency

It trains faster than other codebases. The main results are as below. Details can be found in benchmark.md. We compare the number of samples trained per second (the higher, the better). The models that are not supported by other codebases are marked by ✗.

Methods MMDetection3D OpenPCDet votenet Det3D

VoteNet 358 ✗ 77 ✗

PointPillars-car 141 ✗ ✗ 140

PointPillars-3class 107 44 ✗ ✗

SECOND 40 30 ✗ ✗

Part-A2 17 14 ✗ ✗

Methods	MMDetection3D	OpenPCDet	votenet	Det3D
VoteNet	358	✗	77	✗
PointPillars-car	141	✗	✗	140
PointPillars-3class	107	44	✗	✗
SECOND	40	30	✗	✗
Part-A2	17	14	✗	✗

Like MMDetection and MMCV, MMDetection3D can also be used as a library to support different projects on top of it.

What's New

Highlight

In version 1.4, MMDetecion3D refactors the Waymo dataset and accelerates the preprocessing, training/testing setup, and evaluation of Waymo dataset. We also extends the support for camera-based, such as Monocular and BEV, 3D object detection models on Waymo. A detailed description of the Waymo data information is provided here.

Besides, in version 1.4, MMDetection3D provides Waymo-mini to help community users get started with Waymo and use it for quick iterative development.

v1.4.0 was released in 8/1/2024：

Support the training of DSVT in projects
Support Nerf-Det in projects
Refactor Waymo dataset

v1.3.0 was released in 18/10/2023:

Support CENet in projects
Enhance demos with new 3D inferencers

v1.2.0 was released in 4/7/2023

Support New Config Type in mmdet3d/configs
Support the inference of DSVT in projects
Support downloading datasets from OpenDataLab using mim

v1.1.1 was released in 30/5/2023:

Support TPVFormer in projects
Support the training of BEVFusion in projects
Support lidar-based 3D semantic segmentation benchmark

Installation

Please refer to Installation for installation instructions.

Getting Started

For detailed user guides and advanced guides, please refer to our documentation:

User Guides

Advanced Guides

Overview of Benchmark and Model Zoo

Results and models are available in the model zoo.

Components

Backbones	Heads	Features
PointNet (CVPR'2017) PointNet++ (NeurIPS'2017) RegNet (CVPR'2020) DGCNN (TOG'2019) DLA (CVPR'2018) MinkResNet (CVPR'2019) MinkUNet (CVPR'2019) Cylinder3D (CVPR'2021)	FreeAnchor (NeurIPS'2019)	Dynamic Voxelization (CoRL'2019)

Architectures

LiDAR-based 3D Object Detection Camera-based 3D Object Detection Multi-modal 3D Object Detection 3D Semantic Segmentation

Outdoor

Indoor

Outdoor

Indoor

ImVoxelNet (WACV'2022)

Outdoor

Indoor

ImVoteNet (CVPR'2020)

Outdoor

Indoor

  </td>
</tr>

	ResNet	VoVNet	Swin-T	PointNet++	SECOND	DGCNN	RegNetX	DLA	MinkResNet	Cylinder3D	MinkUNet
SECOND	✗	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗
PointPillars	✗	✗	✗	✗	✓	✗	✓	✗	✗	✗	✗
FreeAnchor	✗	✗	✗	✗	✗	✗	✓	✗	✗	✗	✗
VoteNet	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗	✗
H3DNet	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗	✗
3DSSD	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗	✗
Part-A2	✗	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗
MVXNet	✓	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗
CenterPoint	✗	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗
SSN	✗	✗	✗	✗	✗	✗	✓	✗	✗	✗	✗
ImVoteNet	✓	✗	✗	✓	✗	✗	✗	✗	✗	✗	✗
FCOS3D	✓	✗	✗	✗	✗	✗	✗	✗	✗	✗	✗
PointNet++	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗	✗
Group-Free-3D	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗	✗
ImVoxelNet	✓	✗	✗	✗	✗	✗	✗	✗	✗	✗	✗
PAConv	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗	✗
DGCNN	✗	✗	✗	✗	✗	✓	✗	✗	✗	✗	✗
SMOKE	✗	✗	✗	✗	✗	✗	✗	✓	✗	✗	✗
PGD	✓	✗	✗	✗	✗	✗	✗	✗	✗	✗	✗
MonoFlex	✗	✗	✗	✗	✗	✗	✗	✓	✗	✗	✗
SA-SSD	✗	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗
FCAF3D	✗	✗	✗	✗	✗	✗	✗	✗	✓	✗	✗
PV-RCNN	✗	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗
Cylinder3D	✗	✗	✗	✗	✗	✗	✗	✗	✗	✓	✗
MinkUNet	✗	✗	✗	✗	✗	✗	✗	✗	✗	✗	✓
SPVCNN	✗	✗	✗	✗	✗	✗	✗	✗	✗	✗	✓
BEVFusion	✗	✗	✓	✗	✓	✗	✗	✗	✗	✗	✗
CenterFormer	✗	✗	✗	✗	✓	✗	✗	✗	✗	✗	✗
TR3D	✗	✗	✗	✗	✗	✗	✗	✗	✓	✗	✗
DETR3D	✓	✓	✗	✗	✗	✗	✗	✗	✗	✗	✗
PETR	✗	✓	✗	✗	✗	✗	✗	✗	✗	✗	✗
TPVFormer	✓	✗	✗	✗	✗	✗	✗	✗	✗	✗	✗

Note: All the about 500+ models, methods of 90+ papers in 2D detection supported by MMDetection can be trained or used in this codebase.

FAQ

Please refer to FAQ for frequently asked questions.

Contributing

We appreciate all contributions to improve MMDetection3D. Please refer to CONTRIBUTING.md for the contributing guideline.

Acknowledgement

MMDetection3D is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors as well as users who give valuable feedbacks. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new 3D detectors.

Citation

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

@misc{mmdet3d2020,
    title={{MMDetection3D: OpenMMLab} next-generation platform for general {3D} object detection},
    author={MMDetection3D Contributors},
    howpublished = {\url{https://github.com/open-mmlab/mmdetection3d}},
    year={2020}
}

License

This project is released under the Apache 2.0 license.

Projects in OpenMMLab

MMEngine: OpenMMLab foundational library for training deep learning models.
MMCV: OpenMMLab foundational library for computer vision.
MMEval: A unified evaluation library for multiple machine learning libraries.
MIM: MIM installs OpenMMLab packages.
MMPreTrain: OpenMMLab pre-training toolbox and benchmark.
MMDetection: OpenMMLab detection toolbox and benchmark.
MMDetection3D: OpenMMLab's next-generation platform for general 3D object detection.
MMRotate: OpenMMLab rotated object detection toolbox and benchmark.
MMYOLO: OpenMMLab YOLO series toolbox and benchmark.
MMSegmentation: OpenMMLab semantic segmentation toolbox and benchmark.
MMOCR: OpenMMLab text detection, recognition, and understanding toolbox.
MMPose: OpenMMLab pose estimation toolbox and benchmark.
MMHuman3D: OpenMMLab 3D human parametric model toolbox and benchmark.
MMSelfSup: OpenMMLab self-supervised learning toolbox and benchmark.
MMRazor: OpenMMLab model compression toolbox and benchmark.
MMFewShot: OpenMMLab fewshot learning toolbox and benchmark.
MMAction2: OpenMMLab's next-generation action understanding toolbox and benchmark.
MMTracking: OpenMMLab video perception toolbox and benchmark.
MMFlow: OpenMMLab optical flow toolbox and benchmark.
MMagic: OpenMMLab Advanced, Generative and Intelligent Creation toolbox.
MMGeneration: OpenMMLab image and video generative models toolbox.
MMDeploy: OpenMMLab model deployment framework.

mmdet3d dependencies

lyft-dataset-sdk networkx numba numpy nuscenes-devkit open3d plyfile scikit-image tensorboard trimesh

FAQs

What is mmdet3d?

OpenMMLab's next-generation platformfor general 3D object detection. Visit Snyk Advisor to see a full health score report for mmdet3d, including popularity, security, maintenance & community analysis.

Is mmdet3d popular?

The python package mmdet3d receives a total of 2,764 weekly downloads. As such, mmdet3d popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is mmdet3d well maintained?

We found indications that mmdet3d is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is mmdet3d safe to use?

While scanning the latest version of mmdet3d, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 21 December-2024, at 19:19 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP

mmdet3d

OpenMMLab's next-generation platformfor general 3D object detection. For more information about how to use this package see README

Ensure you're using the healthiest python packages

Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Package

Readme

Introduction

What's New

Highlight

Installation

Getting Started

Overview of Benchmark and Model Zoo

FAQ

Contributing

Acknowledgement

Citation

License

Projects in OpenMMLab

mmdet3d dependencies

FAQs

What is mmdet3d?

Is mmdet3d popular?

Is mmdet3d well maintained?

Is mmdet3d safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Introduction

What's New

Highlight

Installation

Getting Started

Overview of Benchmark and Model Zoo

FAQ

Contributing

Acknowledgement

Citation

License

Projects in OpenMMLab

mmdet3d dependencies

FAQs

What is mmdet3d?

Is mmdet3d popular?

Is mmdet3d well maintained?

Is mmdet3d safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues