Yolo V5 - Object Detection
YoloV5 model released by Ultralytics for object detection. The component takes one image as input and outputs the coordinates of the bounding boxes of all objects detected in the image.
The YOLO V5 component provides a dockerized gRPC-enabled service that implements the YoloV5 model by Ultralytics for object detection (original code at https://github.com/ultralytics/yolov5).
The component takes one image as input and outputs the coordinates of the bounding boxes of all objects detected in the image. This component can be used with a special web visualization component that draws the bounding boxes and assembled in a pipeline integrating a camera feed, object detection and visualization.
Source code and instructions to build and deploy a full pipeline can be found here : https://github.com/DuarteMRAlves/yolov5-grpc
Original license here: https://github.com/ultralytics/yolov5