Found 138 repositories(showing 30)
andrewcodesmith
a simple computer vision project that tracks bicep curls, using mediapipe and open cv
niteshctrl
Biceps Curl Counter python app based on Mediapipe's Human Pose Estimation architecture.
Zaid2044
AI Bicep Curl Counter: A Python application that uses your webcam and MediaPipe Pose estimation to count bicep curls in real-time. It provides visual feedback on the current stage of the curl (up/down) and the total number of repetitions.
Aditi-Asati
AI Biceps Curl Counter
lin34
No description available
SumeetDG
No description available
JamesLemonss
No description available
mookupeeman
Implemented a small project to count the number of bicep curl by using mediapipe and open cv to detect motion.
mrunankpawar
No description available
mochshultan
Counter for doing bicep curl without need to count it by yourself using `trainingdata.pro` dataset and open-cv
djaafarblb
an Ai project that detects and counts biceps curls using python
vermanikki455
No description available
Bhargav-44
No description available
SoroushJaberi
A computer vision application that counts bicep repetitions in real-time using a webcam. The LiveBicepCounter leverages OpenCV and MediaPipe for dynamic pose estimation and features visual effects to enhance user experience during workouts.
Aloukik21
No description available
akshagg4242
No description available
VelatDicleli
count by Mediapipe that is computer vision library
divyankmalik
This AI-powered model, developed in Python, accurately tracks and counts repetitions by analyzing image-based predictions of extension and contraction movements. Using advanced image recognition and prediction techniques, the model identifies each completed rep, providing a precise count to support your training or exercise regimen.
MuhammadUsama8686
This Project is Used for Bicep Curl angle finder and also count the reps.
PrahasHegde
A computer vision application that tracks human body landmarks in real-time to count exercise repetitions and visualize form quality.
vmd1u16
Motion Detector provides implementations for 4 different types of activities which can be tracked: Bicep curl counter, Star-Jumps counter, Inside-Outside Pocket, Running Stairs
sudhanshu976
No description available
v0nser
No description available
aakarshit15
No description available
Nilesh911
No description available
nb1023
No description available
Suraj716
No description available
muku1999
No description available
Ashwanth-Kalyan
Bicep Curl Counter Using Mediapipe and OpenCV
satyam991133
No description available