Building custom processing blocks is available for everyone but has to be self-hosted. If you want to host it on Edge Impulse infrastructures, you can do that within your organization interface.
In this tutorial, you'll learn how to use Edge Impulse CLI to push your custom DSP block to your organisation and how to make this processing block available in the Studio for all users in the organization.
The Custom Processing block we are using for this tutorial can be found here: https://github.com/edgeimpulse/edge-detection-processing-block. It is written in Python. Please note that one of the beauties with custom blocks is that you can write them in any language as we will host a Docker container and we are not tied to a specific runtime.
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You'll need:
The Edge Impulse CLI. If you receive any warnings that's fine. Run edge-impulse-blocks afterwards to verify that the CLI was installed correctly.
Docker desktop installed on your machine. Custom blocks use Docker containers, a virtualization technique which lets developers package up an application with all dependencies in a single package. If you want to test your blocks locally you'll also need (this is not a requirement):
A Custom Processing block running with Docker.
Inside your Custom DSP block folder, run the following command:
The output will look like this:
Modify or update your custom code if needed and run the following command:
The output will look similar to this:
That's it, now your custom DSP block is hosted on your organization. To make sure it is up and running, in your organisation, go to Custom blocks->DSP and you will see the following screen:
To use your DSP block, simply add it as a processing block in the Create impulse view:
Full instruction on how to build processing blocks: Building custom processing blocks
When running edge-impulse-blocks init for hosting a custom DSP block, ensure you log into an Edge Impulse account that is a member of an Organization. If you are logged into a personal account, you will be presented with the following CLI output:
