This project is about object tracking and tagging pilot (after this we will continue with next phases) : Requirements: 1. connect to live video camera stream of a shed/structure with fixed view (e.g. camera not moving). then you need to: 1. Identify and track the movement of the objects in the shed 2. Count each time an object enter/exit into a tagged area in the picture (by looking at area pixel location and areas will be given in XML) 3. another task is to recognize the image for certain situation. Instructions: 1. You will get an AWS EC2 access where you run Yolo , tensorflow, deepSORT, torch or other 2. You will use customized model (augmented with public model), the customized model include annotations we labeled in CVAT, you will need to help guide us and customize...
Video Object identification and tracking with customized model 10 часов(-а) left
$1592 (Avg Bid)
$1592 Ср. заявка