You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Efficient yoga pose estimation is a critical enabler for enhancing precision and performance in wellness and fitness applications. Advancements in computer vision and machine learning are driving remarkable progress in this domain.
Knee bend exercise detector that counts the successful rep count only if the user bends the knee for more than 8 seconds by using Mediapipe and OpenCV . The condition for the knee to be in a bent stage is that the angle between the hip, knee, and ankle should be smaller than 140 degree.
Interview Buster is an AI-powered tool designed to help job seekers enhance their non-verbal communication skills. By leveraging advanced computer vision techniques, it provides personalized feedback on body language, including facial expressions, head posture, eye contact, hand gestures, and body poses, ultimately boosting interview success rates.
I worked on this short project for which estimates the angles between the joints and gives a frequency count of the number of times a person works out using that particular pose. Used MediaPipe and OpenCV, this was pretty straightforward
Running Pose Estimation involves detecting and tracking the key landmarks or points on a person's body in an image or video. The goal is to understand and analyze the body's pose, movements, and gestures, which can be valuable for various applications.
Esta aplicación permite a los usuarios cargar imágenes y aplicar un modelo de detección de poses para visualizar poses humanas. Combina la interfaz web de Gradio con MediaPipe, un framework para crear aplicaciones de inteligencia artificial de manera rápida y eficiente.
This repository features projects that track physical activities using computer vision, integrating OpenCV with MediaPipe's Pose Estimation module and YOLOv8 for object detection to count repetitions or actions from video inputs.
Исходные файлы приложения "Трекинг упражнений", разработанного для курсовой работы по курсу 01.03.04 - "Методы искуственного интеллекта", кафедры КИК, НИТУ МИСиС, 2021-2022 уч. год.