Popular GitHub Repositories for Queue Counting

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.

Awesome Crowd Counting

The collection of pre-trained, state-of-the-art AI models for ailia SDK

? The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

An open-source PyTorch code for crowd counting

People Counting in Real-Time with an IP camera.

The official implement of "VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning"

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO? Toolkit, for traffic or stadium sensing, analytics and management tasks.

SeerrBridge automates movie torrent fetching by integrating Jellyseer/Overseer with DebridMediaManager. It listens to OverSeerr movie requests via webhook and uses DMM / Real-Debrid for efficient downloads. With features like persistent browser sessions and queue management, it simplifies media handling. https://discord.gg/Dy5xNzEHKw

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

Scalable Instance Segmentation using PyTorch & PyTorch Lightning.

Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.