Firstly, I would like to express my gratitude to CVzone and Nvidia for hosting this amazing competition. My approach to solving the problem involved the following steps: 1.) Detecting the balls using YOLOv8 object detection model. This was necessary as the target ball had a green color that made it difficult to detect using color […]
YoloV5 + DeepSort
YoloV5 + DeepSort
open cv
Hello! My name is Pratye. I have used YoloV4 + DeepSort to detect and count the cars in the video.
OpenCV, Python
It is based on tracking the objects in a video. RetinaNet framework and V-IoU tracker have been used for detection and tracking tasks respectively. Every tracked object is assigned with a unique tracking ID that has been used for counting the objects in the video.
Used OpenCV to remove background followed by counting of objects of the size matches the given critera.
Used basics of OpenCV, background removal followed by counting cars
One Stop Computer vision
