Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)
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Updated
May 3, 2020 - Python
Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)
Real-time tracking and behavioural reinforcement toolbox for DeepLabCut to accompany Forys, Xiao, Gupta, and Murphy (2020).
Workspace_Labs - ML Ops Inspired Lite Web Application
Simple Polls Application, meticulously crafted with Python, Django, and HTML to provide a seamless and interactive polling experience.
A dynamic Python-based routing and package management system for optimizing delivery schedules and operations. Designed for WGUPS, it showcases efficient use of algorithms and data structures for real-world logistics solutions.
Inspired by the wonders of space, the ISS Tracker brings the cosmos a little closer to home. 🌌🛰️
This project demonstrates how to control your computer's mouse using hand gestures with a webcam and the MediaPipe library. By tracking the position of your index finger and thumb, you can perform mouse actions such as clicking and moving the cursor, offering a touch-free interaction with your computer.
BAM-SORT: A state-of-the-art multi-object tracking algorithm using bottom edge cost matrix and activated trajectory matching for robust tracking in crowded and occlusion-heavy environments. Excelling in benchmarks like MOT17, MOT20, and DanceTrack.
Control your cursor with your eyes in real-time 👁️🖱️
Cricket Ball Trajectory Detection And Prediction
This demo is a simple software that I created using my studies and courses. It's designed for real-time object detection and tracking in video streams, using YOLOv8 for detection and ByteTrack for multi-object tracking. It is suitable for tracking objects in video footage, and can run on both GPU and CPU.
Virtual Mouse = OpenCV + MediaPipe, Control your mouse cursor with just your fingers using a webcam!🔥🖐️
A simple Django-based polling application that enables secure creation and management of polls with token-based voting system.
Real-time retinal tracking for ophthalmic applications. Optimized for low quality funduscopy data and for high detection and low error rates.
Conceptual Sniper Advanced Targeting Pod using a camera and servo-driven gimbal for real-time object tracking and directional estimation. Powered by Arduino with image processing via PC over serial communication.
Real-time vision defects self-monitoring and correction assistant with gaze tracking capabilities
Real-time UAV detection & tracking system powered by YOLOv8, OpenCV, and PID control
Real-time multi-object detection, tracking, and counting using YOLOv8 and DeepSORT
A Python-based Virtual Mouse that uses hand gestures detected via webcam to control cursor movement and clicks in real time using OpenCV and MediaPipe.
Real time hand detection and classification with landmark visualization. Works with any webcam for fast and efficient hand tracking.
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