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Docker
To download the docker image and run the VDMS Server:
# On Linux
docker run --net=host -d intellabs/vdms:latest
# On Mac
docker run -p 55555:55555 -d intellabs/vdms:latest
The VDMS server will be listening to connection on its default TCP port (55555).
This image contains an instance of VDMS server running, together with the Python client module and a Jupyter Notebook ready to use.
Once the docker instance is running, you can go to your browser and go to localhost:8888 to connect to the notebook. Password: vdmstest
# On Linux
docker run --net=host -d intellabs/vdms:notebook
# On Mac
docker run -p 8888:8888 -d intellabs/vdms:notebook
# Now you can go to your browser and
# connect to localhost:8888
# Password: vdmstest
This image contains an instance of the VDMS Server, a Jupyter Notebook, and sample populated database, and some sample queries to run, together with the Python client module and a Jupyter Notebook ready to use.
Once the docker instance is running, you can go to your browser and go to localhost:8888 to connect to the notebook. Password: vdmstest
# On Linux
docker run --net=host -d intellabs/vdms:demo
# On Mac
docker run -p 8888:8888 -d intellabs/vdms:demo
# Now you can go to your browser and
# connect to localhost:8888
# Password: vdmstest
VDMS Server Version 2.0.0:
docker run --net=host -d intellabs/vdms:2.0.0
Visual Data Management System - Intel Labs
FLINNG Library and Performance
Basic Building Blocks
Insert
- AddBlob
- AddBoundingBox
- AddConnection
- AddDescriptor
- AddDescriptorSet
- AddEntity
- AddImage
- AddVideo
- NeoAdd
Query
- ClassifyDescriptor
- FindBlob
- FindBoundingBox
- FindConnection
- FindDescriptor
- FindDescriptorSet
- FindEntity
- FindFrames
- FindImage
- FindVideo
- NeoFind
Update