• VOTT
• docker

This is a tool to run a model reviewer in a docker container, to decouple model reviewing from the VOTT application, in order to keep the application light-weight

> docker pull user1m/vott-reviewer-cntk:cpu

> git clone https://github.com/User1m/vott-reviewer-ext.git
> cd vott-reviewer-ext
> export MODEL_PATH=/absolute/path/to/cntk/model/
> ./docker/scripts/run.prod.sh cpu (or gpu)

• NOTE: Your cntk model path must be mapped to the container's /workdir/model/ path
• In the /workdir/model/ should be a .model file AND a class_map.txt file from your training
• This will expose an endpoint on 127.0.0.1:3000/cntk. Plug this endpoint into VOTT and review.

NOTE - If you have a GPU machine w/ nvidia installed you might run into an issue w/ nvidia-docker & creating the container. This is due to the fact that the host already contains nvidia-cuda-toolkit binaries, found in ls -la /usr/bin/nvidia-*, and the container tries to mount it's nvidia binaries over the existing ones.

A current workaround is to rename some of the host nvidia files found in /usr/bin/nvidia-* so that the container can be created, then you can rename them back after container is created.

> curl \
  -F "image=@/home/user1/Desktop/test.jpg" \
  localhost:3000/cntk