Join members of the OpenSim Team on Wednesday July 26th for an introduction to OpenSim and new tools for rapidly developing musculoskeletal simulations.
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- Open the Anaconda Prompt (or, Powershell on Windows, Terminal on Mac, etc).
- This assumes you have installed Anaconda already (see above TODO link)
Create environment (python 3.9 recommended)
Code Block C:\> conda create -n opencap-processing python=3.9
Activate environment
Code Block C:\> conda activate opencap-processing
Install OpenSim
Code Block C:\> conda install -c opensim-org opensim=4.4=py39np120
(Optional): Install an IDE such as Spyder
Code Block C:\> conda install spyder
- Clone/download the repository to your machine
- Using Git
Navigate to the directory where you want to download the code. For example:
Code Block C:\> cd Documents
Clone the repository
Code Block C:\Documents> git clone https://github.com/stanfordnmbl/opencap-processing.git
- Without using Git
- Download the repository by visiting https://github.com/stanfordnmbl/opencap-processing/archive/refs/heads/main.zip
- Unzip the folder
- We will assume your PATH looks like C:\Documents\opencap-processing and that the path to the README file is C:\Documents\opencap-processing\README.md
- Using Git
- Install required Python packages
Navigate to the directory (make sure you are in Documents)
Code Block C:\Documents> cd opencap-processing
Install packages
Code Block C:\Documents\opencap-processing> python -m pip install -r requirements.txt
Create environment variable for authentication, you will be prompted to provide your OpenCap credentials. An environment variable (
.env
file) will be saved after authenticating.
A text editor (e.g., Notepad++)Code Block C:\Documents\opencap-processing> python createAuthenticationEnvFile.py
Run example to verify that everything was correctly installed
Code Block C:\Documents\opencap-processing> python example.py
https://github.com/stanfordnmbl/opencap-processing#install-requirements
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Visit the Moco website here.
Slides
TODO
Publications
Uhlrich SD, Falisse A, Kidzinski L, Muccini J, Ko M, Chaudhari AS, Hicks JL, Delp SL (2022) OpenCap: 3D human movement dynamics from smartphone videos. bioRxiv. https://doi.org/10.1101/2022.07.07.499061
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Werling K, Bianco NA, Raitor M, Stingel J, Hicks JL, Collins SH, Delp SL, Liu CK (2023) AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization. bioRxiv. https://doi.org/10.1101/2023.06.15.545116
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Dembia CL, Bianco NA, Falisse A, Hicks JL, Delp SL (2020) OpenSim Moco: Musculoskeletal optimal control. PLoS Comput Biol 16(12): e1008493. https://doi.org/10.1371/journal.pcbi.1008493
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