Manual Installation Steps
Install Shipping Container Images On-premises with Docker by following the steps below.
Replace YOUR_LICENSE_KEY with your License Key and YOUR_API_TOKEN with your API Token. Get your token and license key. Use On-premises Licenses.
List of Docker Images
There are Docker images for various architectures. The image structure is
platerecognizer/<architecture>:<version>
<architecture>- x86
container
- x86
<version>: leave blank for latest.- To see the list of tags, select an image from Docker Hub and then click "Tags".
Here are a couple of examples:
- Image for x86 with a specific version:
platerecognizer/container:1.0.0 - Image for x86 with the latest version:
platerecognizer/container
Installation
Installation on an Intel CPU
Abbreviated installation steps below. For a detailed, step-by-step guide, see the Install Docker and SDK on Windows and the associated FAQ for help.
- Sign up and log in.
- Subscribe to a Shipping Container Images On-premises plan.
- Install Docker on your local machine. See requirements.
- Get our On Premise image. In a terminal run
docker pull platerecognizer/container - Install and run the docker container:
docker run --restart="unless-stopped" -t -p 8001:8001 -v license:/license \
-e TOKEN=YOUR_API_TOKEN -e LICENSE_KEY=YOUR_LICENSE_KEY \
platerecognizer/container
Calling the API
The docker container exposes a REST interface. To verify that the installation was successful, run those commands in a new terminal. Replace localhost with the IP address of the machine running the docker container, if not the same one.
- Windows
- Linux
# Get a picture
curl -o container.jpg https://app.platerecognizer.com/static/container_demo.jpg
# And read the container information
curl -F "[email protected]" http://localhost:8001/predict/
# Get a picture
curl -o /tmp/container.jpg https://app.platerecognizer.com/static/container_demo.jpg
# And read the container information
curl -F 'image=@/tmp/container.jpg' http://localhost:8001/predict/
View the output format documentation and read about parameters to learn how to customize the output.