OMEGAMAX10/YOLOv8-Object-Detection-Tracking-Image-Segmentation-Pose-Estimation
YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.
This tool helps you automatically identify and track objects, segments, and poses in images, videos, or live camera feeds. You provide an image, video file, or camera stream, and it outputs the original media enhanced with bounding boxes, segmentation masks, and object tracking, along with a JSON file detailing the detected objects. It's designed for anyone who needs to quickly analyze visual data to count items, monitor movement, or understand spatial relationships.
No commits in the last 6 months.
Use this if you need an intuitive way to visually analyze and extract data from various video streams or images, especially for tasks like security monitoring, retail analytics, or quality control.
Not ideal if you require highly specialized object recognition models outside of the YOLOv8 framework, or if you need to process extremely large datasets locally without Docker.
Stars
79
Forks
13
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 24, 2023
Commits (30d)
0
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