The form requests information about you, your company, and the user scenario for which you'll use the container. After you submit the form, the Azure Cognitive Services team will review it and email you with a decision. After you're approved, you will be able to run the container after downloading it from the Microsoft Container Registry MCR , described later in the article.
There are three primary parameters for all Cognitive Services' containers that are required. The end-user license agreement EULA must be present with a value of accept. Navigate to the Overview page, hover over the Endpoint, and a Copy to clipboard icon will appear. Copy and use where needed. This key is used to start the container, and is available on the Azure portal's Keys page of the corresponding Cognitive Service resource.
Navigate to the Keys page, and click on the Copy to clipboard icon. Do not share your keys. Store them securely, for example, using Azure Key Vault. We also recommend regenerating these keys regularly. Only one key is necessary to make an API call. When regenerating the first key, you can use the second key for continued access to the service.
The host is a xbased computer that runs the Docker container. It can be a computer on your premises or a Docker hosting service in Azure, such as:. The host computer is the computer that runs the docker container. You can check for AVX2 support on Linux hosts with the following command:.
The host computer is required to support AVX2. The container will not function correctly without AVX2 support. The requirements and recommendations are based on benchmarks with a single request per second, using a KB image of a scanned business letter that contains 29 lines and a total of characters. The recommended configuration resulted in approximately 2x faster response compared with the minimum configuration.
The following table describes the minimum and recommended allocation of resources for each Read OCR container. Core and memory correspond to the --cpus and --memory settings, which are used as part of the docker run command. Use the docker pull command to download a container image. You can use the docker images command to list your downloaded container images. For example, the following command lists the ID, repository, and tag of each downloaded container image, formatted as a table:.
Once the container is on the host computer , use the following process to work with the container. Use the docker run command to run the container. Examples of the docker run command are available. More examples of the docker run command are available. The Eula , Billing , and ApiKey options must be specified to run the container; otherwise, the container won't start.
For more information, see Billing. If you need higher throughput for example, when processing multi-page files , consider deploying multiple containers on a Kubernetes cluster , using Azure Storage and Azure Queue. If you're using Azure Storage to store images for processing, you can create a connection string to use when calling the container.
If you intend to run multiple containers with exposed ports, make sure to run each container with a different exposed port. For example, run the first container on port and the second container on port You also can have multiple containers of the same Cognitive Services container running. There are several ways to validate that the container is running. Locate the External IP address and exposed port of the container in question, and open your favorite web browser.
Use the various request URLs below to validate the container is running. Keep in mind that you're to rely on your container's External IP address and exposed port. Use the same Swagger path as 3. Note: If you are still unsure of how Docker images and containers differ, you may want to check out the article on Images vs Containers. Below you fill find all the necessary commands for working with Docker images. Once you set up your containers, you will need to know how to get all the important information for managing them.
The following commands will provide details on images and containers on your system. One of the most valuable features of Docker software is the ability to connect containers to each other and to other non-Docker workloads.
This section covers network-related commands. You can find all the listed commands in a convenient one-page reference sheet seen below. To save it for future use, you can also download our Docker Command Cheat Sheet. This list of commonly used Docker commands should help you become more familiar with them. The cheat sheet will be helpful when you want to create and manage containers, images, and networks. Introduction Docker is a software that offers a set of platform-as-a-service products for developing and deploying applications by packaging software in containers.
Was this article helpful? Sofija Simic. Specifically, you use the the Containers extension of your Windows Admin Center instance to run the containers. First, open the container host you want to manage, and in the Tools pane, select the Containers extension. Then, select the Images tab inside the Container extension under Container Host. If your host doesn't have a base container image, select the Pull option to open the Pull Container Image settings:. If you aren't certain which image to pull, Windows Admin Center provides a list of common images from Microsoft.
You can also provide the credentials to pull an image from a private repository. Once you fill out the necessary information, click Pull. Windows Admin Center will start the pull process on the container host. After the download is complete, you should see the new image on the Images tab.
On the Run menu, set up the configuration for the container, such as the container name, the isolation type, which ports to publish, and memory and CPU allocation. Additionally, you can append Docker run commands that are not in the UI, such as -v for persistent volume. For more information on available Docker run parameters, review the documentation. Once you have finished the configuration for the container, click Run. You can see the status of the running containers on the Containers tab:.
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