opendatacam | An open source tool to quantify the world
kandi X-RAY | opendatacam Summary
kandi X-RAY | opendatacam Summary
opendatacam is a JavaScript library typically used in Telecommunications, Media, Media, Entertainment applications. opendatacam has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
OpenDataCam is an open source tool to quantify the world. It quantifies and tracks moving objects with live video analysis. It is designed to be an accessible, affordable and open-source solution to better understand interactions in urban environments. OpenDataCam never records any photo or video data. The system only saves surveyed meta-data, in particular the path an object moved or number of counted objects at a certain point. The novelty of OpenDataCam is, that everything happens on location, while no visual data is saved or sent to online cloud processing. OpenDataCam runs on Linux and CUDA GPU enabled hardware. It is optimized for the NVIDIA Jetson Board series. The most affordable setup runs on a Jetson Nano (low cost, credit-card sized GPU-computer) combined with other other off-the-shelf equipment (webcam, power supply, housing), this entire setup is priced around $150. All software is based on open source components and runs completely locally. The software features a friendly user interface and is currently optimised for detecting and counting traffic participants, but is not limited to that. Both software and hardware setup are documented and offered as an open source project, to underline transparency and full disclosure on privacy questions. The simple OpenDataCam setup allows everybody to become an urban data miner. OpenDataCam is very alpha and we do not provide any guarantee that this will work for your use case, but we conceived it as a starting point from where you can build-on & improve. Until v3.0.0 OpenDataCam has been mainly supported by move lab. OpenDataCam was supported in part by a residency at the Frank-Ratchye STUDIO for Creative Inquiry at Carnegie Mellon University. We are currently looking into potential funding sources to keep pushing the project. If you are interested, please be in touch.
OpenDataCam is an open source tool to quantify the world. It quantifies and tracks moving objects with live video analysis. It is designed to be an accessible, affordable and open-source solution to better understand interactions in urban environments. OpenDataCam never records any photo or video data. The system only saves surveyed meta-data, in particular the path an object moved or number of counted objects at a certain point. The novelty of OpenDataCam is, that everything happens on location, while no visual data is saved or sent to online cloud processing. OpenDataCam runs on Linux and CUDA GPU enabled hardware. It is optimized for the NVIDIA Jetson Board series. The most affordable setup runs on a Jetson Nano (low cost, credit-card sized GPU-computer) combined with other other off-the-shelf equipment (webcam, power supply, housing), this entire setup is priced around $150. All software is based on open source components and runs completely locally. The software features a friendly user interface and is currently optimised for detecting and counting traffic participants, but is not limited to that. Both software and hardware setup are documented and offered as an open source project, to underline transparency and full disclosure on privacy questions. The simple OpenDataCam setup allows everybody to become an urban data miner. OpenDataCam is very alpha and we do not provide any guarantee that this will work for your use case, but we conceived it as a starting point from where you can build-on & improve. Until v3.0.0 OpenDataCam has been mainly supported by move lab. OpenDataCam was supported in part by a residency at the Frank-Ratchye STUDIO for Creative Inquiry at Carnegie Mellon University. We are currently looking into potential funding sources to keep pushing the project. If you are interested, please be in touch.
Support
Quality
Security
License
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Support
opendatacam has a medium active ecosystem.
It has 1497 star(s) with 273 fork(s). There are 92 watchers for this library.
It had no major release in the last 12 months.
There are 40 open issues and 341 have been closed. On average issues are closed in 98 days. There are 9 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of opendatacam is v3.0.2
Quality
opendatacam has 0 bugs and 0 code smells.
Security
opendatacam has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
opendatacam code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
opendatacam is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
opendatacam releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed opendatacam and discovered the below as its top functions. This is intended to give you an instant insight into opendatacam implemented functionality, and help decide if they suit your requirements.
- Initialize the template
- Send sample request request .
- Initializes the dynamic version
- Change an item to another version
- Handle comparison of source files
- Restoreing records from database
- Set the main page version
- Update UI settings storage .
- Add navigation to the nav object
- Adds fields to an entry
Get all kandi verified functions for this library.
opendatacam Key Features
No Key Features are available at this moment for opendatacam.
opendatacam Examples and Code Snippets
No Code Snippets are available at this moment for opendatacam.
Community Discussions
No Community Discussions are available at this moment for opendatacam.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install opendatacam
Open a terminal or ssh to you machine and run the following commands depending on your platform. The install script will download a docker-compose.yml file and setup a default config.json depending on your platform. This command will download and start a docker container on the machine. After it finishes the docker container starts a webserver on port 8080 (ports 8070 and 8090 are also used). The docker container is started in auto-restart mode, so if you reboot your machine it will automaticaly start opendatacam on startup. (Learn more about the specificities of docker on jetson). You can also use opendatacam without docker. If you prefer to deploy OpenDataCam on Kubernetes rather than with Docker Compose, use the --orchestrator flag for changing the engine.
If you have modified the config.json, save it somewhere
Remove config.json, docker-compose.yml
Run the install steps again (previous section), this will download a new default config.json file compatible with the opendatacam version you are installing and setup a new docker container
Open the newly downloaded config.json script and modify with the things you had changed previously
If you have modified the config.json, save it somewhere
Remove config.json, docker-compose.yml
Run the install steps again (previous section), this will download a new default config.json file compatible with the opendatacam version you are installing and setup a new docker container
Open the newly downloaded config.json script and modify with the things you had changed previously
Support
In order to solve use cases that aren't taken care by our opendatacam base app, you might be able to build on top of our API instead of forking the project.
Find more information at:
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