ml-mocap
Markerless Motion Capture Software is required to build the low-cost, modular and multi-camera ML-MoCap system.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (12.4%) to scientific vocabulary
Keywords
Repository
Markerless Motion Capture Software is required to build the low-cost, modular and multi-camera ML-MoCap system.
Basic Info
Statistics
- Stars: 14
- Watchers: 2
- Forks: 2
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
ML-MoCap
Markerless Motion Capture Software required to build the low-cost, modular and multi-camera ML-MoCap system.
Disclaimer
This project is work-in-progress. With the lessons learned from the first version of the ML-MoCap we decided to add a few improvements to make it more stable in use. In this list we keep track of the transition from version 0.1 to the first official release 1.0.
- [x] Transform from custom services to pre-build Docker applications
- [x] Management by Kubernetes
- [x] Transition from mountdrive to NFS and SMB
- [x] Customized Raspberry Pi OS Image files
- [ ] New UI Design
Getting started
Installation
Hardware
Depending on the application or goal the required hardware list will change. Here we list the hardware components used to build the first version of the ML-MoCap system for motion capture of hand movements as an example.
- 1x Raspberry Pi Board (Controller)
- 6x Raspberry Pi Board (Camera Module)
- 6x Raspberry Pi HQ Camera
- 6x PoE_Board Power Over Ethernet (POE) for Raspberry Pi
- 8x Ethernet cables (length depending on the distance between cameras)
- 1x Network Switch (PoE enabled)
Software
The operating system for the Raspberry Pi's will be installed with the Imager tool. Instead of the general Raspberry Pi OS we provide custum images including Docker installation of the required packages. Please follow the instruction documents for a set-by-step guided installation process.
Code contributors:
ML-MoCap code was originally developed by Tommy Maintz & Jinne Geelen.
References:
If you use this code we kindly ask you to cite us following CITATION.cff.
License
Content is BSD-3-Clause licensed, as found in the LICENSE.md file. Note that the software is provided "as is", without warranty of any kind, express or implied. If you use the code, please cite us.
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Geelen"
given-names: "Jinne"
orcid: "https://orcid.org/0000-0001-9346-5787"
- family-names: "Maintz"
given-names: "Tommy"
title: "ML-MoCap"
version: 2.0.4
doi: 10.0000/FIXME
date-released: 2021-07-30
url: "https://github.com/JinneGeelen/ML-MoCap"
keywords:
- "markerless motion capture"
- "multi-camera"
- "raspberry pi"
funding: "STW_14906, NWO"
license: "BSD 3-Clause"
preferred-citation:
type: inproceedings
authors:
- family-names: "Geelen"
given-names: "Jinne"
orcid: "https://orcid.org/0000-0001-9346-5787"
doi: "10.1109/EMBC46164.2021.9629749"
title: "MarkerLess Motion Capture: ML-MoCap, a low-cost modular multi-camera setup."
year: 2021
publisher: "IEEE (EMBC)"
GitHub Events
Total
- Watch event: 2
- Fork event: 1
Last Year
- Watch event: 2
- Fork event: 1
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Tommy Maintz | t****z@g****m | 11 |
| JinneGeelen | 5****n | 10 |
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 1 minute
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- JinneGeelen (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- @angular-devkit/build-angular ~0.1102.0 development
- @angular/cli ~11.2.0 development
- @angular/compiler-cli ~11.2.0 development
- @angular/language-service ~11.2.0 development
- @types/jasmine ~3.4.0 development
- @types/jasminewd2 ~2.0.3 development
- @types/node ^12.11.1 development
- codelyzer ^6.0.1 development
- jasmine-core ~3.5.0 development
- jasmine-spec-reporter ~5.0.0 development
- karma ~6.1.1 development
- karma-chrome-launcher ~3.1.0 development
- karma-coverage-istanbul-reporter ~3.0.2 development
- karma-jasmine ~4.0.0 development
- karma-jasmine-html-reporter ^1.5.0 development
- protractor ~7.0.0 development
- ts-node ~8.3.0 development
- tslint ~6.1.0 development
- typescript ~4.0.5 development
- @angular/animations ~11.2.0
- @angular/cdk ~11.2.0
- @angular/common ~11.2.0
- @angular/compiler ~11.2.0
- @angular/core ~11.2.0
- @angular/forms ~11.2.0
- @angular/material ^11.2.0
- @angular/platform-browser ~11.2.0
- @angular/platform-browser-dynamic ~11.2.0
- @angular/router ~11.2.0
- rxjs ~6.6.3
- tslib ^2.0.0
- zone.js ~0.10.3
- RPi.GPIO *
- asyncpg *
- databases *
- gpiozero *
- psycopg2 *
- pyyaml *
- rx *
- shortuuid *
- sqlalchemy *
- starlette *
- uvicorn *
- asyncio *
- picamera *
- requests *
- websockets *
- python 3.9-buster build
- balenalib/raspberry-pi-python 3.7-buster build
- nginx latest build
- node 12-alpine build