eyeris-camera-control
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.1%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: bioinspirlab
- License: mit
- Language: Python
- Default Branch: main
- Size: 350 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
License
Citation
README.md
EyeRIS Camera Control
Overview
This software provides basic control and monitoring for the EyeRIS camera. It consists of two LCM projects. The Client runs on the topside camera conotrl and data acquisition computer and the server runs on the Raspierry Pi inside of the camera housing. All of the software is written in pyhton.
Requirements
- LCM
- python3
- pyqt5
Client Installation on the topside windows computer
- Install LCM
- Install pythonm requirements
Server installation on the Rasperry Pi camera computer
- Install LCM
- Install python requirements
- Enable I2C in raspi-config
Owner
- Name: bioinspirlab
- Login: bioinspirlab
- Kind: organization
- Repositories: 1
- Profile: https://github.com/bioinspirlab
Citation (CITATION.cff)
@software{EyeRISCameraControl,
author = {Paul L. D. Roberts},
title = {{EyeRISCameraControl}},
url = {https://github.com/bioinspirlab/eyeris-camera-control},
version = {1.0.0},
year = {2024}
}