The camera connected to my Raspberry pi4 is intel realsense F450 When I run the code on Raspberry Pi4, it runs well, but when I deploy it as a component, it doesn't. In my inference code, there is a task to open and execute the camera connected to the Raspberry Pi4.īut it can't open the camera when I deployed it as a component. The Raspberry pi status is normal, and the components are deployed successfully. So I created and deployed the components. The artifact of my recipe contains the face recognition inference code in the S3 bucket. I deployed the components of Greengrass v2 to Raspberry Pi. Does anyone have a file they use? I cannot find a single example anywhere. I would like to see better documentation on `aws elasticbeanstalk create-platform-version` with an example `platform-definition-bundle` file. Furthermore I am running SELinux on the AMI and this is creating issues when attempting to run "provisioners", even `echo "do nothing"` is not allowed. As you can imagine there is drift between when I first created the environment and now because although I am updating the AMI nearly every month Elastic Beanstalk is unaware of this and is yelling at me to update.įollowing the `eb platform create` process requires a base AMI and it will create a new AMI, this is an unnecessary step as the AMI I am providing is suitable without any modifications. Currently I am setting up an environment using a similar, AWS provided platform, then I update the AMI with a script after each new AMI build. I already have a process to build a custom AMI and would like to utilize that AMI within a Custom Platform.
0 kommentar(er)
