Ultralytics YOLOv8, YOLOv9, YOLOv10 for ROS 2
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Updated
Sep 3, 2024 - Python
Ultralytics YOLOv8, YOLOv9, YOLOv10 for ROS 2
An automatic election vote counting system using OCR and Object Detection technology on C1 form images.
Решение соревнования Атомик Хак 2.0 от корпорации РосАтом по обнаружению дефектов сварочных швов во время визуального осмотра
Train and Inference your custom YOLO-NAS model by Single Command Line
Object tracking pipelines complete with YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking
YOLO-NAS module for use with Autodistill.
Multi-object tracking using a tracking-by-detection scheme with YOLO-NAS + DeepSORT.
This repository contains code for object tracking in videos using the YOLO-NAS object detection model and the DeepSORT algorithm.
About YOLO_NAS is an architecture for object detection that automatically searches for optimal neural network structures, while Segment Anything Model is a versatile model for segmenting various objects in images.
This repository contains a Streamlit web application for vehicle tracking using different SOTA object detection models. The app offers two options: YOLO-NAS with SORT tracking and YOLOv8 with ByteTrack and Supervision tracking. It enables users to upload a video file, set confidence levels, and visualize the tracking results in real-time.
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