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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OpenSim with Python (Windows only)
- Open the Anaconda Prompt (or, Powershell on Windows, Terminal on Mac, etc).If not using the Anaconda Prompt, you may need to initialize conda for shell interaction by running
where <shell-name> is one of the following: cmd.exe (Windows default), bash (macOS default), powershell, fish, zsh, tcsh, xonsh.Code Block > conda init <shell-name>
Create a new conda environment for Python 3.10.
Code Block (base) C:\Users\me> conda create -n addbio-processing python=3.10 matplotlib
Activate the conda environment.
Code Block (base) C:\Users\me> conda activate tgcs2023
- If paths to previous OpenSim versions exist on your PYTHONPATH environment variable, remove them and restart the shell.
Install the OpenSim conda package. This installs a version of OpenSim including Moco that is compatible with Python 3.10 and includes NumPy 1.21.
Code Block (addbio-processing) C:\Users\me> conda install -c opensim-org opensim-moco=4.4.1=py310np121
Launch a Python interpreter from your conda environment.
Code Block (addbio-processing) C:\Users\me> python
Test the OpenSim configuration by checking the timestamp from running
Code Block >>> import opensim >>> opensim.GetVersionAndDate()
in the Python interpreter; the date should be in June 2023.
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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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