# AIGO demo

#### use FAIR (Facebook)'s '```detetron2``` for a demo of instance segmentation

1. Pull the image back to your host system:

    docker pull moeaidb/aigo:cu10.1-dnn7.6-gpu-pytorch-cv-19.12

2. Output the versions of installed packages/libs:

    rogerhu@honghutech:~$ docker run -it --rm moeaidb/aigo:cu10.1-dnn7.6-gpu-pytorch-cv-19.12 versions_summary
    System INFO:
                  Python v3.7.5
           NVIDIA Driver v430.26
                    CUDA v10.1.243-1
                   cuDNN v7.6.5.32-1+cuda10.1
                    NCCL v2.4.8-1+cuda10.1

    Installed Python3 Packages:

    [Base]:
                   torch v1.3.0a0+ee77ccb
             torchvision v0.4.2
                    apex v0.1
                 horovod v0.18.2
                  mpi4py v3.0.3
                   numba v0.46.0

    [Numerical]:
                 numexpr v2.7.0
                   numpy v1.17.4
                   scipy v1.3.3

    [Data Science]:
                 sklearn v0.20.4
                  pandas v0.25.3
              matplotlib v3.1.2
                 seaborn v0.9.0
                   bokeh v1.4.0
              jupyterlab v1.2.3
                  pyodbc v4.0.27
                    yacs v0.1.6

    [NLP]:

    [CV]:
                     cv2 v3.4.8
                  imgaug v0.3.0
                 pydicom v1.2.2
                 skimage v0.16.2
              detectron2 v0.1

You can see that ```detectron2```(v0.1) was installed.
3. let's start jupyterlab:

    # 決定Jupyterlab該監聽本機的哪一    個port 
    host_port=9999

    # 啟動容器並取得容器ID
    container_id=$(nvidia-docker run --rm -d -p ${host_port}:8888 -v $PWD:/workspace moeaidb/aigo:cu10.1-dnn7.6-gpu-pytorch-cv-19.12) # 休息一會，靜待容器服務啟動

    # 等待服務啟動
    sleep 2.

    # 擷取容器的Jupyterlab token
    notebook_token=$(docker logs ${container_id} 2>&1 | grep -nP "(LabApp.*token=).*" | cut -d"=" -f 2) 

    # 顯示連線至Jupyterlab服務的網址
    printf "Open a browser and connect to:\n
            http://[your_ip]:${host_port}/?token=${notebook_token}\n
           "

you'll see the following message:

    rogerhu@honghutech:~$ printf "Open a browser and connect to:\n
    >         http://[your_ip]:${host_port}/?token=${notebook_token}\n
    >        "
    Open a browser and connect to:

            http://[your_ip]:9999/?token=25f4c1a3570380b27ab610f5b8f0d6e58516601d1b2f4537
    25f4c1a3570380b27ab610f5b8f0d6e58516601d1b2f4537

5. Let's open a browser and go to:
http://192.168.50.104:9999/?token=[the_token_you_have_got]
6. goto ```/demo_aigo/demo_detectron.ipynb``` and then execute the notebook.