suggest support for cv::dnn::DetectionModel

Hi,

I would like to suggest adding support for OpenCV's DNN class in the G Augmented-Reality Toolkit. OpenCV provides a convenient and efficient way to load and run pre-trained deep learning models (such as SSD, YOLO, etc.) using the , which simplifies object detection integration.DetectionModelcv::dnn::DetectionModel

Adding this support could enhance the toolkit’s capabilities in real-time object detection for augmented reality applications, allowing easier integration with popular models like MobileNet-SSD or YOLOv3-tiny.

Key benefits:

Streamlined model loading and inference. Better compatibility with existing OpenCV-based pipelines. Improved performance and ease of use for AR scenarios requiring real-time detection. Please consider this feature for future updates. Thanks!

Best regards