This project is designed to control light bulbs using a Raspberry Pi Pico.
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Updated
Mar 13, 2025 - Python
This project is designed to control light bulbs using a Raspberry Pi Pico.
A real time face detection that captures video from your webcam. Highlights detected faces with bounding boxes in the live feed.
Real-time Computer Visio(openCv) pedestrian detection which performs person detection in streets and footpaths . Used in Tasks such as intelligent video surveillance, traffic control systems etc.
Robotics OS based differential robot maneuvering by the help of Computer Vision and Machine Learning Algortihms.
A deep learning project focused on detecting and classifying objects such as humans, vehicles, and drones from significant distances. Utilizing advanced object detection algorithms, it achieves high precision and supports real-time processing.
A computer vision tool for detecting humans in images and video streams. Built with Python and OpenCV, it provides a simple and efficient way to perform people counting and surveillance
Flutter-based mobile IP camera that streams Android camera frames to a Python YOLOv8 server for real-time human detection, with live bounding-box overlay on both phone and web.
The goal of this project is to implement a committee-based tracking ensemble model for human detection and tracking. This repository contains ML models and FairMOT implementation.
YOLOv8 trained on CrowdHuman dataset and supports ONNX Runtime Inference for Image, Video and Webcam
Some basic works on image processing 🏃
World Smile - Does some computation and returns average smile data by location (DATA MINING).
Robust Human Detection in Adverse Visibility Conditions
Detecting persons skin in a video and make it greenish.
Detect humans in real-time, image or video and count the detected people using OpenCV and HOG Descriptor
Simple human detection script
Ultra-lightweight human detection. The number of parameters does not correlate to inference speed. For limited use cases, an input image resolution of 64x64 is sufficient. High-level object detection architectures such as YOLO are overkill.
Hardware implementation for human detection by Histogram of Oriented Gradient (HOG)
Efficient point process inference for large scale object detection
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