New Release 4.18: Raspberry Pi AI Kit Now with Hailo Python API Support, CLIP Zero-Shot Classification, and picamera2 Examples!

General
1

We are excited to announce a new release for the Hailo Raspberry Pi AI Kit, packed with powerful new features that will enhance your AI development experience on Raspberry Pi 5. Whether you’re an embedded AI enthusiast or a seasoned developer, this release offers several exciting updates.

What’s New?

  1. Hailo Python API Support
    The Hailo Python API is now officially available for Raspberry Pi 5! This API allows you to easily run AI inference on the Hailo-8L AI processor using Python, simplifying the integration of deep learning models into your embedded applications.
    :point_right: Explore Python code examples here.

  2. CLIP Zero-Shot Classification App
    We are introducing a zero-shot classification app based on the CLIP (Contrastive Language-Image Pretraining) model. This application allows real-time image recognition, matching video frames to relevant text prompts without needing pre-training for specific objects. It’s a powerful tool for AI tasks where flexibility is key.
    :point_right: Check out the Hailo-CLIP GitHub repository for more information.
    :point_right: Watch the demo on YouTube.

  3. picamera2 Examples
    The latest release also includes new picamera2 examples that showcase integration between Raspberry Pi’s camera stack and the Hailo AI processor. These examples demonstrate how to utilize the Hailo-8L for advanced AI-powered applications like object detection and pose estimation with the picamera2 library.
    :point_right: Get started with picamera2 examples here.

Best Entry Point for All Updates

For a full list of updates and to get the latest features for your Raspberry Pi AI Kit, be sure to check out the Hailo Raspberry Pi 5 Examples Repository. This repository is your go-to source for all updates, new features, and examples for running AI on Raspberry Pi with the Hailo-8L AI processor.

Stay tuned for more updates and happy building!

6 Likes
6

In my opinion, the examples for Raspberry Pi5 should include standard support for IP cameras - RTSP streams, many people have asked about it on the forum and there are working script modifications there for example here: Using RTSP stream in Raspberry Pi5 - #6 by sanjoyg I think this would be very helpful for users without much experience.

3 Likes
7

Hey, nice to hear that support for the Hailo PiCamera2 is out, but I am getting an error on the first steps, when I am running the first example python3 pose.py
is there any hidden steps?

Traceback (most recent call last): File ‘/home/pi5/picamera2/examples/hailo/pose.py’, line 9, in from picamera2.devices import Hailo ImportError: cannot import name ‘Hailo’ from ‘picamera2.devices’ (/home/pi5/testenv/lib/python3.11/site-packages/picamera2/devices/init.py)"

8

problem is solved.

If you encounter an issue like this, ensure that you have upgraded to the latest version of the Hailo software package

9

That is very impressive！

10

I can’t wait to try this when I get home!

1 Like
11

Hello all,
Thanks you for this long awaited news, m’y question,IS it possible to use a webcam on https://github.com/hailo-ai/Hailo-Application-Code-Examples/blob/main/runtime/python/detection_with_tracker/detection_with_tracker.py instead of videos

12

Its a continuous troubleshooting instrument, i love it!

But what i think that is a weakness.

You have all software to let it run smoothly except for one thing to roll on a rpi5 and that is the converter.

The job should be this:

1st = Tensorflow
2nd = ONNX
3rd = HEF

The last part is tricky because you cannot place it on a rpi5 for it is not x86 based but arm64. All works except that. Any one have any pointers to put direct converter so i can decide cpu power an ai together. It is possible only the 3rd is a deadbeat.