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A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
A ROS package for real-time object detection in camera images using YOLO (V3) on GPU and CPU.
A ROS package for real-time object detection in camera images using YOLO (V3) on GPU and CPU.
An open-source computer vision tool that detects, tracks, and counts moving objects from cameras and videos.
TensorFlow implementation of YOLO for real-time object detection using pretrained YOLO_small, YOLO_tiny, and YOLO_face models.
A framework for semantic and instance segmentation of LiDAR point clouds using range images, designed for autonomous driving applications.
A YOLO-based object detection system specifically trained to identify DJI drones in images and video.
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