Segmentation issue using hailo 8L in raspberrypi 5

[velkurkirankumar]

Actually we are using raspberry pi 5 by fixing hailo 8l, and by using this link we set the things up! “GitHub - Seeed-Projects/Benchmarking-YOLOv8-on-Raspberry-PI-reComputer-r1000-and-AIkit-Hailo-8L: This repository provides benchmarks and performance evaluations of the YOLO (You Only Look Once) model running on the Raspberry Pi Compute Module 4 (CM4) with an AI kit.”
by running this in live camera, we are facing segmentation fault and all seems to be good in memory too…
The error message displayed like this :

Frame count: 128771
Detection: person 0.90
Left eye: x: 237.00 y: 237.00 Right eye: x: 233.00 y: 237.00
Detection: person 0.83
Left eye: x: 505.00 y: 200.00 Right eye: x: 505.00 y: 200.00
Detection: person 0.87
Left eye: x: 544.00 y: 223.00 Right eye: x: 548.00 y: 223.00

./run.sh: line 28: 7499 Segmentation fault python3 “$1”.py --input rpistrong text

[omria]

Hey @velkurkirankumar

This question has already been addressed in another topic. To avoid duplicate discussions, please refer to the existing thread for information and solutions:

Segmentation fault on Hailo8L using raspberrypi5 with rpi cam

Hi @kirank, Welcome to the Hailo Community! I’d like to clarify that the project you’re asking about isn’t an official Hailo project, but a community-driven one. It would be best to ask your question in the same topic where the project was originally published. That being said, I can offer some general advice about the segmentation fault you’re experiencing with YOLOv8 on Hailo 8L and Raspberry Pi 5. This error often points to memory issues or hardware interaction problems. Here are some trou…