YOLOv9 Object Tracking using PyTorch, OpenCV and DeepSORT
-
Updated
Mar 25, 2024 - Python
YOLOv9 Object Tracking using PyTorch, OpenCV and DeepSORT
Implementation of Nvidia DeepStream 7 with YOLOv9 Models.
⚡️ This study enhances electric meter reading using YOLOv9, achieving high accuracy and efficiency, benefiting energy management, smart city infrastructure, and energy conservation initiatives, marking a significant technological advancement.
Counter surveillance system that detects vehicles that may be following you using ALPR. Designed simply with open source projects.
Road Vehicles Detection
This project utilizes YOLOv9 and DeepSORT for object tracking, combined with a line-drawing feature to visualize the path of tracked objects.
Adaptive_detection is a sophisticated reinforcement learning framework designed for autonomous driving applications using the CARLA simulator. The project integrates state-of-the-art YOLOv9 object detection to enable adaptive perception and decision-making in complex driving scenarios.
Add a description, image, and links to the yolov9-object-tracking topic page so that developers can more easily learn about it.
To associate your repository with the yolov9-object-tracking topic, visit your repo's landing page and select "manage topics."