fulyvv/pose2sim
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
David PAGNON 2023-10-19 17:37:18 +02:00 committed by GitHub
parent 9f96c0c7e7
commit 57722cd612
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
README.md
View File

@ -18,8 +18,9 @@
To upgrade, type `pip install pose2sim --upgrade`. You will need to update your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.\ To upgrade, type `pip install pose2sim --upgrade`. You will need to update your [User\Config.toml](https://github.com/perfanalytics/pose2sim/blob/main/Pose2Sim/Empty_project/User/Config.toml) file.\
*N.B.:* As always, I am more than happy to welcome contributors (see [How to contribute](#how-to-contribute)). *N.B.:* As always, I am more than happy to welcome contributors (see [How to contribute](#how-to-contribute)).
`Pose2Sim` provides a workflow for 3D markerless kinematics, as an alternative to the more usual marker-based motion capture methods.\ `Pose2Sim` provides a workflow for 3D markerless kinematics, as an alternative to the more usual marker-based motion capture methods. It aims to provide a free tool to obtain research-grade results from consumer-grade equipment. Any combination of phone, webcam, gopro, etc can be used.
Pose2Sim stands for "OpenPose to OpenSim", as it uses OpenPose inputs (2D keypoints coordinates obtained from multiple videos) and leads to an OpenSim result (full-body 3D joint angles). Other 2D solutions can alternatively be used as inputs.
Pose2Sim stands for "OpenPose to OpenSim", as it uses OpenPose inputs (2D keypoints coordinates obtained from multiple videos) and leads to an OpenSim result (full-body 3D joint angles). Other 2D pose estimators can alternatively be used as inputs.
If you can only use one single camera and don't mind losing some accuracy, please consider using [Sports2D](https://github.com/davidpagnon/Sports2D). If you can only use one single camera and don't mind losing some accuracy, please consider using [Sports2D](https://github.com/davidpagnon/Sports2D).