Quickstart instructions are below, for more information on DeepDetect docker images, see https://github.com/jolibrain/deepdetect/tree/master/docker.
Get info from the DeepDetect server:
curl http://localhost:8080/info
Yields something like:
{
"status":{
"code":200,
"msg":"OK"
},
"head":{
"method":"/info",
"version":"0.1",
"branch":"master",
"commit":"c8556f0b3e7d970bcd9861b910f9eae87cfd4b0c",
"services":[]
}
}
Use your own model repository with DeepDetect, or follow the current examples in the DeepDetect documentation.
docker run -d -u $(id -u ${USER}):$(id -g ${USER}) -p 8080:8080 -v /path/to/models:/opt/models/ jolibrain/deepdetect_gpu
where path/to/models is the path to your local models you’d like to use with the DeepDetect container.
You are now ready to use your model repositories with DeepDetect.
docker logs -f
where container name can be obtained via docker ps