Realtime Speed (FPS) for YOLOv8 and YOLOv9 on Raspberry Pi 5/4: Google Coral Edge TPU | Ultralytics

🔍 Enhanced by Raspberry Pi: This guide shines a spotlight on the synergy between Raspberry Pi 4/5 and Google Coral Edge TPU in executing TensorFlow models efficiently. Whether you're utilizing the proven performance of the Raspberry Pi 4 or tapping into the advanced capabilities of the Raspberry Pi 5, you'll discover how these boards revolutionize machine learning deployment at the edge.

📌 Leveraging Raspberry Pi for Edge AI:

Learn about the integration of Raspberry Pi 4 and 5 with the Google Coral Edge TPU for seamless AI deployments.
Explore practical examples and step-by-step tutorials on setting up and deploying your AI projects on these platforms, available at our GitHub repository.
Discover the enhancements and optimizations specific to Raspberry Pi 5 that empower your machine-learning applications even further.
💡 Ideal For:

Tech enthusiasts exploring the frontier of edge AI with the latest hardware innovations.
Developers and makers seeking scalable and effective solutions for real-world AI applications.
Educators and students who are interested in hands-on AI learning experience through cutting-edge technology.
Join us as we explore the transformative potential of combining Edge TPU Silva with Raspberry Pi 4 and 5, ushering in a new era of accessible, powerful, and efficient AI at the edge. Experience firsthand how these technologies are redefining machine learning deployment and innovation.

[oliverexcellent]

Thank you, thank you, thank you!

I've been struggling to get my YOLOv8 + RPi 4 + Coral TPU up and running. I'm going to follow your tutorial this weekend and see if I can get everything working. Exciting!!

[rekomarie]

Hello Koby, i have a problem when i run the code like you did at 28:41 my RP4 reboot, i do not know why i have tried many time and it reboot again, i need to finish your tutorial so i could use my usb web cam to for live object detection, thank you in advance

Edit: the RP does not reboot it closed remotely

[JoeNassar-ogqe]

Hello Koby..Thanks for this video...I just bought dual edge coral TPU but in pci case for raspberry pi 5. . Can not this be used with this library?

[AmanChauhan-xuiw]

Hello Koby. Many thanks for this tutorial. I was earlier using RPI4 (32 bit legacy os) along with google coral accelerator and using edge tpu i was able to recognize object with my pi camera. I think it was using SSD model.
I want to extend by using YOLO model and referring to this project. I am having a short query that this model work on edge tpu correct since we are using coral accelerator

[anthonyholmes]

one issue I can't seem to get around when going back to Python 3.9 is that I cannot get libcamera to work for the pi camera module 3...either coral doesn't work with 3.11 or libcamera doesn't work with 3.9...driving me crazy!

[samoo]

Please help me in that, i have a rpi 4 with 64 bit os, and i want to use camera module ip, with script ultrlytics

[PenguinYan]

Thank for your tutorial
maybe it's have possible to deploy YOLOv7 model on TPU with RPI4
I will try it when i'm get some time

[ucnguyen]

Can i use this set up for Raspberrypi zero 2w

[andreidtz]

Thank you so much for this amazing tutorial, it helped a lot with my project!
Could you please help me with some informations about how I could use this setup for an USB webcam live inference object detection? Instead of being on .mp4 video files. I tried using the ultralytics script, but it didn’t work. Thanks again!

[shahriarahmadfahim]

Thank you for your video. How much FPS did you get for YOLOv8 and YOLOv9 respectively?

[alimohsen]

Can I create my own model using yolov8? How do I convert it to tflite?

[music_love]

Hi! We are creating a system that classifies tomato ripeness levels using image processing in CNN architecture with the YOLOv8 model. We are using Raspberry Pi 4 OS with 4GB RAM and we have encountered a problem - the system has 2-3 minute delay/lag in classifying the ripeness level. Would you happen to have any recommendation/suggestion sir on this problem?

[maksp]

Hello Koby. Can you help me pls? I want to run an object detection model on my raspberry pi 4 with a Coral USB accelerator and a model 3 wide camera. But I am having big problems with FPS currently only 3-4fps. Can you recommend me the best approach? I need to detect objects at a long distance but I have only class 1. I have been using mobilenet ssd fpn lite 320 and 640. I need to have minimum 25fps to close my project. I would appreciate any help. Thank you.

[alimohsen]

‏‪35:24‬‏
Thank you. The explanation was very good. But I have one problem. At this time 35:24, I keep getting the same error. I could not solve it.

[anthonyholmes]

switched to a usb camera, but still struggling with getting it to run the model with a video feed. Is there an example code somewhere that does this using this model? No matter what I try I still get the "ValueError: Failed to load delegate from libedgetpu.so.1" error.