Driver Toolkit Registration Code
If you have not already entered a registration code in the WorkSpaces Windows client application, do so, and then choose Amazon WorkSpaces, Quit Amazon WorkSpaces to close the client application.
Driver toolkit registration code
The first time that you run the client application, you are prompted for your registration code, which is contained in your welcome email. The WorkSpaces client application uses the registration code and user name to identify which WorkSpace to connect to. When you launch the client application later, the same registration code is used. To enter a different registration code, launch the client application, and then choose Change Registration Code at the bottom of the login page.
The first time that you run the client application, you are prompted for your registration code, which is contained in your welcome email. The WorkSpaces client application uses the registration code and user name to identify which WorkSpace to connect to. When you launch the client application later, the same registration code is used. To enter a different registration code, launch the client application, and then on the menu bar, choose Options, Manage Registrations.
You can view your registration code and what Region your WorkSpace is in. You can specify whether you want the WorkSpaces client application to save your current registration code, and you can assign a name to your WorkSpace. You can also specify if you want Amazon WorkSpaces to keep you logged in to a WorkSpace until you quit or your login period expires.
Driver containers are container images used for building and deploying out-of-tree kernel modules and drivers on container operating systems like RHCOS. Kernel modules and drivers are software libraries running with a high level of privilege in the operating system kernel. They extend the kernel functionalities or provide the hardware-specific code required to control new devices. Examples include hardware devices like Field Programmable Gate Arrays (FPGA) or GPUs, and software-defined storage (SDS) solutions, such as Lustre parallel file systems, which require kernel modules on client machines. Driver containers are the first layer of the software stack used to enable these technologies on Kubernetes.
The driver-toolkit image is available from the Container images section of the Red Hat Ecosystem Catalog and in the OpenShift Container Platform release payload. The image corresponding to the most recent minor release of OpenShift Container Platform will be tagged with the version number in the catalog. The image URL for a specific release can be found using the oc adm CLI command.
Instructions for pulling the driver-toolkit image from registry.redhat.io with podman or in OpenShift Container Platform can be found on the Red Hat Ecosystem Catalog. The driver-toolkit image for the latest minor release will be tagged with the minor release version on registry.redhat.io for example registry.redhat.io/openshift4/driver-toolkit-rhel8:v4.9.
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Abstract:Augmented reality (AR) technology has been applied to the industrial field; however, at present, most industrial AR applications are developed for specific application scenarios, which are difficult to develop and have a long development cycle, and lack universality. To this end, this paper proposed a quick development toolkit for augmented reality visualization (QDARV) of a factory by using the script configuration and parsing approach. With QDARV, designers can quickly develop industrial AR applications, achieve AR registration based on quick response (QR) code and simultaneous localization and mapping (SLAM), and superpose information such as disassembly animations, industrial instruments, pictures, and texts on real scenes. In QDARV, an AR registration method based on SLAM map reloading is proposed. Through saving and reloading the map and the configuration and analysis of the SLAM-AR display content script, the AR scene configured by the designer is displayed. Meanwhile, the objects detected using YOLOv5 are used as a landmark to assist the SLAM system in positioning. The QDARV can be applied to realize AR visualization of factories with a large area.Keywords: augmented reality; visualization; SLAM; AR registration