flirmulticamera
C++ Library to record synchronized videos and images using synchronizable Flir Cameras on Ubuntu. Contains python bindings.
Science Score: 36.0%
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Repository
C++ Library to record synchronized videos and images using synchronizable Flir Cameras on Ubuntu. Contains python bindings.
Basic Info
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Metadata Files
Readme.md
📷 flirmulticamera – v1.0.0
C++ Library to record synchronized videos and images using synchronizable Flir Cameras on Ubuntu. Also contains python bindings.
This module is part of my ROS/ROS2 real-time 3D tracker and its docker-implementation.

📑 Citation
If you use this software, please use the GitHub “Cite this repository” button at the top(-right) of this page.
🧪 Tested with
- Spinnaker-2.4.0.143-Ubuntu20.04-amd64-pkg.tar.gz
- 5x Flir Grasshopper GS3-U3-32S-4C
- cpp_utils v1.0.0
- pybind11-dev
Requirements
- USB Card to handle all the video input
- Synchronization cable that connects master cameras Trigger Pin to the Slave cameras input pins.
- We use
Line2on the Master andLine3for the Slave cameras. - cpp_utils v1.0.0
fmtandffmpeg
- Download and install the Spinnaker SDK. Make sure that you can run Spinview and that you can get a stable video of each camera.
This repo is used for real time inference. For this purpose there is the option to use a compile time known constant for the amount of used cameras.
To enable this option use -DUSE_ENV_DEFINED_CAMERA_COUNT=ON in cmake and export this environment variable
bash
FLIR_CAMERA_COUNT #Number of elements in the list above, i.e. 5
Installation
You can build and install the python bindings, executables and the libraries by executing this script:
bash
./build_install.sh
Otherwise, feel free to adapt use whatever installation configuration you like.
Usage
Python example:
bash
./src/apps/get_images.py
CMake generates the following executables.
./build/record_synchronized_frame - to save a synchronized image
./build/record_synchronized_videos - to record synchronized videos
You can specify the camera settings by passing a <your-settings>.json to each executable as first argument:
bash
./build/record_synchronized_frame /home/docker/modules/FlirMultiCamera/cfg/1024x768.json
See the json scheme in ./cfg.
For the video executable you can further specify the number of frames by passing them as second argument:
bash
./build/record_synchronized_videos /home/docker/workspace/build/dependencies/FlirMultiCamera/cfg/1024x768.json 40
Otherwise the executables will assume the default configuration 1024x768.json and a default frame number of 30.
You can specify the savepath of your images/videos in the the config. If save_dir is an empty string it will chose the ./outputs folder as default.
Notes
This software is an essential part of my docker-based pipeline for online 3D tracking, that I build during my PhD.
Owner
- Name: Henrik
- Login: HenrikTrom
- Kind: user
- Company: Göttingen University
- Repositories: 1
- Profile: https://github.com/HenrikTrom
👋 Hi, I'm Henrik — PhD researcher with a focus on real-time 3D tracking and software development for human-robot interaction.
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- Public event: 1
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- Pull request event: 3
- Fork event: 1
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Last Year
- Public event: 1
- Push event: 10
- Pull request event: 3
- Fork event: 1
- Create event: 1
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Last synced: 6 months ago
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- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 13 days
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- 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: 2
- Average time to close issues: N/A
- Average time to close pull requests: 13 days
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- Pull request authors: 2
- Average comments per issue: 0
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Top Authors
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- HenrikTrom (1)
- simonblaue (1)