Oct 8, 2025 · After using the recommended Google Coral TPU for all of that time, I was intrigued by the latest support for the YOLOv9 models and wanted to give them a try. As I’ve been a …

Dec 2, 2025 · This repository provides a custom detector plugin for Frigate, specifically designed to enable the Google Coral Edge TPU to run a YOLOv9 model to detect objects visible in …

Aug 27, 2025 · I am using the YOLOv9 model for this setup and it requires you to export the model for ONNX as described in Frigate's documentation. I have created a bash script to …

Oct 19, 2024 · While Frigate ships with a OpenVINO-compatible SSDlite model for object detection and this is a great compromise between speed and accuracy, I wanted to dive a bit …

If you are using a Frigate+ YOLOv9 model, you should not define any of the below model parameters in your config except for path. See the Frigate+ model docs for more information …

May 10, 2025 · For Frigate, I’m currently using YOLOv9 from Frigate+ , however YOLOv11 has cutting-edge accuracy, speed, and efficiency. It introduces significant improvements in …

Mar 9, 2025 · For such a use case scenario like Frigate object detection it is a perfect solution to offload detection from CPU to CPUs integrated GPU. It is much more convenient than Coral …

Sep 8, 2025 · But now I got the mail from Frigate that YOLOv9 is supported. But I'm not sure how I can use it. Do I need the YOLO_MODELS environment variable on my Docker container to …

Hi everyone! I’m really impressed with the performance of YOLOv9 in Frigate+ — amazing work! I’m currently deciding between YOLOv9‑t and YOLOv9‑s (running at 640×640). My setup is an …

Information on how to integrate Frigate+ with Frigate can be found in the integration docs. There are three model types offered in Frigate+, mobiledet, yolonas, and yolov9. All of these models …