mmdetection | OpenMMLab Detection Toolbox and Benchmark

by RangiLyu Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | mmdetection Summary

mmdetection is a Python library. mmdetection has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project. The master branch works with PyTorch 1.3+. Apart from MMDetection, we also released a library mmcv for computer vision research, which is heavily depended on by this toolbox.

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Quality

Security

License

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Support

mmdetection has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

mmdetection has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mmdetection is current.

Quality

mmdetection has no bugs reported.

Security

mmdetection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

mmdetection is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

mmdetection releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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mmdetection Key Features

No Key Features are available at this moment for mmdetection.

mmdetection Examples and Code Snippets

No Code Snippets are available at this moment for mmdetection.

Community Discussions

No Community Discussions are available at this moment for mmdetection.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mmdetection

Please refer to get_started.md for installation.
Please see get_started.md for the basic usage of MMDetection. We provide colab tutorial, and full guidance for quick run with existing dataset and with new dataset for beginners. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, customizing models, customizing runtime settings and useful tools. Please refer to FAQ for frequently asked questions.

Support

We appreciate all contributions to improve MMDetection. Ongoing projects can be found in out GitHub Projects. Welcome community users to participate in these projects. Please refer to CONTRIBUTING.md for the contributing guideline.

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