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This project uses YOLO models for efficient object detection with a Streamlit interface. Users can upload images or video streams for real-time detection. It supports YOLOv8, YOLOv9, and YOLOv10; offering flexibility and high accuracy in various scenarios.
Smart Sight, A GUI application for computer vision tasks using YOLOv7, enabling real-time object detection on images and videos with an intuitive interface.
YOLOv7 is a state-of-the-art object detection model known for its speed and accuracy. This repository focuses on utilizing the YOLOv7 model in an efficient and scalable manner by implementing it with ONNX and OpenCV. Multi-threading is employed to achieve real-time performance on compatible hardware.