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ComfyUI-IF_AI_tools is a set of custom nodes for ComfyUI that allows you to generate prompts using a local Large Language Model (LLM) via Ollama. This tool enables you to enhance your image generation workflow by leveraging the power of language models.
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.
Live Vehicle & Pedestrian tracker using OpenCV, YOLOv8 and Supervision. Detects and plots traffic over time. Part of Capstone project on Dynamic Traffic control.
This repository contains scripts that use the YOLO model for real-time object detection and tracking. The focus is on detecting and counting people and vehicles within defined polygon zones. The project utilizes the ultralytics YOLO model and supervision for annotation and tracking.
This repository contains Python scripts for real-time vehicle detection, tracking, and counting using the YOLO object detection model (YOLOv8). It is designed for vehicle counting on multi-lane highways and integrates tools like Supervision for annotation, object tracking, and detection smoothing.