This card has compute capability 3.0 which, at the time of the message's posting was below what CodeProject.AI Server supported.
BLUE IRIS SERVER DRIVER
The user was using an NVIDIA GeForce GTX 660, with driver version 30.1. In this post, the user encountered the following error on their CodeProject.AI Server console.ġ:08:29 PM: Object Detection (YOLO): Unable to load model at C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\assets\yolov5m.pt (CUDA error: no kernel image is available for execution on the deviceġ:08:29 PM: Object Detection (YOLO): Unable to create YOLO detector for model yolov5m This issue comes from the CodeProject.AI Server forums. Unable to load model at C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\assets\yolov5m.pt CodeProject.AI Server in Docker Container Doesn't Respond to Requests.CodeProject.AI Server and Python using a lot of system resources.CodeProject.AI Server log shows requests every minute or less when there is no motion detection.Unable to load model at C:\Program Files\CodeProject\AI\AnalysisLayer\ObjectDetectionYolo\assets\yolov5m.pt.This article will be continually added to and updated, in hopes to have a single location for all Blue Iris and CodeProject.AI Server issues and their solutions. This article is meant to be a collection of all those issues and their solutions, for the more recent versions of Blue Iris and CodeProject.AI Server. But there is no central location for common issues and their solutions for users who are using Blue Iris and CodeProject.AI Server. Every forum has different users reporting different issues and someone usually swoops in to help. I've been reading through the Blue Iris Facebook group, and the forums on Blue Iris, CodeProject.AI Server, and ipcamtalk.
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