Yolov8 Libraries

5 Components & Libraries

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Yolov8 Libraries

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

You can run Inference on an edge device like an NVIDIA Jetson, or on cloud computing platforms like AWS, GCP, and Azure. Currently, the stream interface only supports object detection Check out Infer…

Python Computer Vision & Video Analytics Framework With Batteries Included

⭐ Star us on GitHub — it motivates us a lot and helps the project become more visible to developers. Savant is an open-source, high-level framework for building real-time, streaming, highly efficient…

Robust and Straight-Forward solution for reading difficult and tricky QR codes within images in Python. Powered by YOLOv8

The output of the previous code is:

yolov5, yolov8, segmenations, face, pose, keypoints on deepstream

Clone the repository recursively: follow the instructions as shown in the repos..

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.

The app can be deployed using Docker Compose using the following command: If you want to deploy the app using the official container from Docker Hub, use the following commands:

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