Infosys_MLOps_for_vision/script.sh at main · Infosys/Infosys_MLOps_for_vision · GitHub

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# Docker Image pull command
docker pull infyartifactory.jfrog.io/vision-ops-sdk-docker/visionops-sdk-v1:latest
# Make Repo for mounting
mkdir visionopssdk
mkdir visionopssdk/framework_config
mkdir visionopssdk/rawtraining-data
mkdir visionopssdk/Logs
mkdir visionopssdk/model_registry
mkdir visionopssdk/gt_reports

# Create Volume Mounts
docker volume create --driver local \
    --opt type=none \
    --opt device=$(pwd)/visionopssdk/framework_config \
    --opt o=bind \
    framework_config
docker volume create --driver local \
    --opt type=none \
    --opt device=$(pwd)/visionopssdk/rawtraining-data\
    --opt o=bind \
    rawtraining-data
docker volume create --driver local \
    --opt type=none \
    --opt device=$(pwd)/visionopssdk/Logs \
    --opt o=bind \
    Logs
docker volume create --driver local \
    --opt type=none \
    --opt device=$(pwd)/visionopssdk/model_registry \
    --opt o=bind \
    model_registry
docker volume create --driver local \
    --opt type=none \
    --opt device=$(pwd)/visionopssdk/gt_reports \
    --opt o=bind \
    gt_reports

# Create Container using volume mount and Image pulled from docker Image repository
# User Input for creating docker container with use case name
read -p "Please Provide use case name " my_var
docker run -d -it --name mlops_sdk_v1.0-$my_var -v framework_config:/app/framework_config -v rawtraining-data:/app/rawtraining-data -v gt_reports:/app/gt_reports -v Logs:/app/Logs -v model_registry:/app/model_registry infyartifactory.jfrog.io/vision-ops-sdk-docker/visionops-sdk-v1:latest