Hi, I am new to the Raspberry Pi AI Kit and the Hailo platform. I successfully converted my custom YOLOv11 model to the HEF format and ran it on raspberry pi OS. Now, I want to write my own Python code to process given image arrays and perform some actions based on the results.
From what I’ve found, it seems I can do most of what I want using this documentation. However, I’m not sure whether I can use PyHailoRT like this on the Raspberry Pi, since the HailoRT documentation only includes installation instructions for standard Ubuntu and Hailo have another documentation for specifically Raspberry Pi AI kit. So, I’m uncertain whether it’s fully supported on the Raspberry Pi AI Kit.
Hello @shashi ,
Thanks for the instructions. I successfully used them and was able to run my custom model using DeGirum.
Now, I’m wondering about the best practices for working with video input. Should I use the same code that I use for processing a single image, or is there a different recommended approach for video?
Also, I’m currently trying to implement an RT-DETR model that I trained using the Ultralytics library. I couldn’t find any specific instructions on how to integrate it. Could you please guide me on this?