Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
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Updated
Jul 19, 2023 - TypeScript
Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
Testing multithreaded body tracking inside of Unity using Google MediaPipe Pose Python bindings.
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
Creating a multi-threaded full body tracking solution supporting arbitrary humanoid avatars for Unity using Google Mediapipe Pose Python bindings.
The purpose of this project is to detect the squat angles which will be helpful for the fitness instructors to provide corrective advice where appropriate.
Python scripts using the Mediapipe models for Halloween.
action recognition using mediapipe and lstm networks
2023-1 Medical AI Project : shooting-pose tracker & Feedback AI
Control in games via webcam, mediapipe and gradient boosting
Marvin at the Cooper Union
YOLOv5-OpenPose designed for CPU
Build an AI fitness counter and timer app with our end-to-end demo using QuickPose iOS SDK for Pose Estimation/Detection.
Fitosaur Run: Jump to Stay Alive! 🏃♂️💥 Experience a fitness adventure as you control the dino with your real-life jumps in this Chrome Dino Run game with a twist! 🦖💪
Use mediapipe on exercise videos to count bicep curl repetitions
This library removes the jitter and smooth the landmarks coming from Mediapipe
Computer Vision Exercise Game
The SQUAT-SHOULDER-AND-BICEP-DETECTOR is an innovative application developed to assist users in monitoring their exercise form, specifically focusing on squats, shoulder exercises, and bicep curls. This project utilizes Mediapipe, a versatile library in Python, to detect and analyze human poses and movements accurately
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