AlphaPose | accurate multi-person pose estimator

by tamakoji Python Version: Current License: Non-SPDX

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

kandi X-RAY | AlphaPose Summary

AlphaPose is a Python library. AlphaPose has no bugs, it has no vulnerabilities, it has build file available and it has low support. However AlphaPose has a Non-SPDX License. You can download it from GitHub.

AlphaPose is an accurate multi-person pose estimator, which is the first open-source system that achieves 70+ mAP (75 mAP) on COCO dataset and 80+ mAP (82.1 mAP) on MPII dataset. To match poses that correspond to the same person across frames, we also provide an efficient online pose tracker called Pose Flow. It is the first open-source online pose tracker that achieves both 60+ mAP (66.5 mAP) and 50+ MOTA (58.3 MOTA) on PoseTrack Challenge dataset.

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AlphaPose has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

AlphaPose has no issues reported. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of AlphaPose is current.

Quality

AlphaPose has no bugs reported.

Security

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

License

AlphaPose has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

AlphaPose 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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AlphaPose Key Features

No Key Features are available at this moment for AlphaPose.

AlphaPose Examples and Code Snippets

No Code Snippets are available at this moment for AlphaPose.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install AlphaPose

Please check out docs/INSTALL.md.
Demo using FastPose model. Train FastPose on mscoco dataset. More detailed inference options and examples, please refer to GETTING_STARTED.md.
Inference: Inference demo
Training: Train from scratch
Validation: Validate your model on MSCOCO val2017

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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