Supvisors: A Control System for Distributed Applications
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Updated
May 6, 2024 - Python
Supvisors: A Control System for Distributed Applications
A short script showing how to build simple real-time video analytics apps using YOLOv8 and Supervision. Try it out, and most importantly have fun! 🤪
PyTorch implementation of "Pyramid Scene Parsing Network".
👁 Using YOLOv8 to detect face parts
Person detected and counted zone-wise
Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model
Detection, Tracking, and Counting with YOLOv9 and Supervision
The goal of this project is to monitor networks between a probe and a server.
Track & Count Objects and Speed Estimation using YOLOv8 ByteTrack & Supervision
This Python script uses YOLOv8 from Ultralytics for real-time object detection using OpenCV. The script initializes a camera, loads the YOLOv8 model, and processes frames from the camera, annotating detected objects with bounding boxes.
Traffic light recognition
The goal of this project is to log when the active router change. Log are displayed on terminal and can be saved in a log file and/or in an InfluxDB.
Showing how to build simple real-time video analytics apps using YOLOv8 and Supervision
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