VIAME-Web is a web interface for performing data management, video annotation, and running the algorithms stored within the VIAME (https://github.com/VIAME/VIAME) repository. When compiled, docker instances for VIAME-Web can be run either as local servers or online in web services. A sample instance of VIAME-Web is running on a public server at https://viame.kitware.com. Additional documentation will be available in the future for users.
VIAME-Web uses Girder for data management and has a typical girder + girder worker + docker architecture. Command-line executables for VIAME and FFmpeg are built inside the worker docker image. See docker scripts for additional details.
The client application is a standard @vue/cli application.
The Rest API server is a Girder3 plugin. Generally, it needs a running MongoDB instance, Python3, and a python environment,
Run pip install on the against the server directory. Then girder build, girder serve to start the girder server. Refer to
Girder3 documentation and the included docker scripts for details.
The processing server is a typical Girder worker tasks. Generally, it needs a running RabbitMQ instance. Python3, and a python environment.
Run pip install on the against the server directory. Then girder-worker -l info to start girder worker.
You can run VIAME Web locally with vanilla docker-compose.
docker-compose -f docker/docker-compose.yml upVIAME server will be running at http://localhost:8010/
VIAME-Web takes two different kinds of input data, either a video file (e.g. .mpg) or an image sequence. Both types can be optionally accompanied with a CSV file containing video annotations. Example input sequences are available at https://viame.kitware.com/girder#collections.
When running an algorithmic pipelines or performing manual video annotation (and saving the annotations with the save button) output CSV files are produced containing output detections. Simultaneously a detection plot of results is shown underneath each video sequence.