Sift - OpenBiomechanics Project: Build CMZs Files: Difference between revisions
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Through the OpenBiomechanics Project, Driveline Baseball has made elite-level motion capture data publicly available. The data can be downloaded from Driveline's GitHub repository. | Through the OpenBiomechanics Project, Driveline Baseball has made elite-level motion capture data publicly available. The data can be downloaded from Driveline's GitHub repository. | ||
Having access to large datasets is a great asset, but processing these large datasets can take time (and patience). Sift is designed to streamline this process. The steps in this tutorial describe how to create CMZ files from the pitching and batting data sets, then inspect and group the data in | Having access to large datasets is a great asset, but processing these large datasets can take time (and patience). Sift is designed to streamline this process. The steps in this tutorial describe how to create CMZ files from the pitching and batting data sets, then inspect and group the data in Sift. | ||
=Downloads and Relevant Links = | =Downloads and Relevant Links = | ||
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# [https://github.com/drivelineresearch/openbiomechanics OpenBiomechanics Project: Driveline Baseball data] | # [https://github.com/drivelineresearch/openbiomechanics OpenBiomechanics Project: Driveline Baseball data] | ||
# [https://www. | # [https://www.has-motion.com/download/Katie/Driveline_CMotionFiles.zip C-Motion Specific Files] | ||
Please note, these downloads contain a large amount of data. Building CMZs is a slow process, so if you want to speed it up to follow along with this tutorial cut the number of datasets under openbiomechanics-main down to 3-5 subjects. | Please note, these downloads contain a large amount of data. Building CMZs is a slow process, so if you want to speed it up to follow along with this tutorial cut the number of datasets under openbiomechanics-main down to 3-5 subjects. | ||
For more technical information on the Build CMZ feature, see: [[ | For more technical information on the Build CMZ feature, see: [[Sift - Building CMZs|Build CMZs Documentation]] | ||
=Build CMZs for Pitching Data = | =Build CMZs for Pitching Data = | ||
[[File: | [[File:BuildingCMZSPitching_cmzDlg.png|450 px|right]] | ||
In the Build CMZ Dialog: | In the Build CMZ Dialog: | ||
# '''Set the CMZ Directory to:''' C:\...\openbiomechanics-main\baseball_pitching\data\c3d | # '''Set the CMZ Directory to:''' C:\...\openbiomechanics-main\baseball_pitching\data\c3d | ||
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=Further Reading= | =Further Reading= | ||
To recap: this tutorial has demonstrated how | To recap: this tutorial has demonstrated how Sift can be used to streamline the processing of large data sets. It can: | ||
*automatically combine static, dynamic and MDH files into CMZs | *automatically combine static, dynamic, and MDH files into CMZs | ||
*automatically apply metadata to data sets | *automatically apply metadata to data sets | ||
*automatically apply refinements to data sets | *automatically apply refinements to data sets | ||
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For examples of how to create and manage metadata files, see: [[Inspect3D_Tutorial:_Metadata| Refining Queries with Metadata Tutorial]] | For examples of how to create and manage metadata files, see: [[Inspect3D_Tutorial:_Metadata| Refining Queries with Metadata Tutorial]] | ||
[[Category: | [[Category:Sift]] | ||
[[Category:Tutorials]] | [[Category:Tutorials]] |
Latest revision as of 11:20, 22 May 2024
Language: | English • français • italiano • português • español |
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Through the OpenBiomechanics Project, Driveline Baseball has made elite-level motion capture data publicly available. The data can be downloaded from Driveline's GitHub repository.
Having access to large datasets is a great asset, but processing these large datasets can take time (and patience). Sift is designed to streamline this process. The steps in this tutorial describe how to create CMZ files from the pitching and batting data sets, then inspect and group the data in Sift.
Downloads and Relevant Links
Begin with downloading the following two zip files.
Please note, these downloads contain a large amount of data. Building CMZs is a slow process, so if you want to speed it up to follow along with this tutorial cut the number of datasets under openbiomechanics-main down to 3-5 subjects.
For more technical information on the Build CMZ feature, see: Build CMZs Documentation
Build CMZs for Pitching Data
In the Build CMZ Dialog:
- Set the CMZ Directory to: C:\...\openbiomechanics-main\baseball_pitching\data\c3d
- Set the Metadata to: C:\...\openbiomechanics-main\baseball_pitching\data\metadata.csv
- Set the MDH File to: C:\...\openbiomechanics-main\baseball_pitching\code\v3d\model\v6_model_hybrid_lm.mdh
- Add the following scripts and ensure they are in the correct order:
- C:\...\CMotion Files\Filter.v3s
- C:\...\CMotion Files\Events.v3s
- C:\...\openbiomechanics-main\baseball_pitching\code\v3d\CMO.v3s
- Click Create CMZs
- A metadata dialog box will appear. Ensure the "Subject_Specific" next to "playing_level" is checked and click "Apply".
- CMZ files may take a while to build. Check the status bar in the bottom left hand corner of the interface for the build status. After the files are built, check that the Library Path dialog is set correctly and hit "Load" in the Load Library dialog.
Query and Inspect Pitching Data
After building CMZs you will need to query your data before you can inspect it. Start by opening the Query Builder dialog and navigating to the Auto-Populate Query menu. Browse for an Auto Build Settings File and populate this field with the AutoBuilderSettings_Pitch.xml file found under the c-motion specific files zip folder you downloaded earlier. The dialog should auto-populate with the query refinements.
Click Create, select the groups you want to query, and hit "Calculate Selected Queries".
You should now be able to inspect the data you loaded. An example from this data set is shown to the right.
Further Reading
To recap: this tutorial has demonstrated how Sift can be used to streamline the processing of large data sets. It can:
- automatically combine static, dynamic, and MDH files into CMZs
- automatically apply metadata to data sets
- automatically apply refinements to data sets
- visualize and display the refined data
For examples of how to create and manage metadata files, see: Refining Queries with Metadata Tutorial