Creating Your Own AI Fitness Trainer: Analyzing Squats with MediaPipe

📚 Blog post Link: learnopencv.com/ai-fitness-tr...
📚 Check out our FREE Courses at OpenCV University : opencv.org/university/free-co...
In this computer vision tutorial video, we will see the working of our application AI fitness trainer that will accurately monitor our squats, analyze the data and offer real-time feedback to develop such an app.
We leverage Media Pipe's deep learning-based human post-estimation solution.
❓Building an AI Fitness Trainer:
Mastering Squats with MediaPipe's Deep Learning Algorithm, Whether you're a beginner or a seasoned pro, imagine having an AI fitness trainer that guides you through perfect squats effortlessly. In order to achieve this ambitious goal, we can leverage the capabilities of a cutting-edge deep learning-based human pose estimation algorithm.
When it comes to estimating human poses, there are several popular frameworks available, including OpenPose, AlphaPose, Yolov7, and MediaPipe, to name a few. After careful consideration, we've chosen MediaPipe's Pose pipeline due to its exceptional inference speed on CPU. By harnessing the power of MediaPipe's Pose pipeline, we can accurately estimate human keypoints, providing real-time feedback and guidance during squat exercises. This AI fitness trainer will ensure that your squats are executed with precision, helping you improve your form, prevent injuries, and optimize your workout routine.
Join us on this exciting journey as we dive into the fascinating world of AI fitness training and discover how MediaPipe's deep learning algorithm can revolutionize the way we perform squats. Get ready to elevate your fitness game with our step-by-step tutorial on building your own AI fitness trainer using MediaPipe for flawless squat execution.
Topics Covered
✅Body Pose Estimation Using MediaPipe
✅Intuition of Frontal and Side View for Posture Analysis
✅Building an AI Fitness Trainer Using MediaPipe Pose to Analyze Squats
✅State Diagram Explanation While Performing Squats
✅Application Workflow for the AI Fitness Trainer
✅Key Concepts While Designing The Application
✅Angle Calculation
✅Feedback Actions for the AI Fitness Trainer Application
✅Computing Inactive Times
✅Test Cases in the AI Fitness Trainer Application
✅Modes of Squats - Beginner vs. Pro
⭐️ Time Stamps:⭐️
00:00-00:16: Introduction
00:16-01:58: Mediapipe's Human Pose Estimation
01:58-02:47: Test Cases
02:47-03:42: Counting a Squat
03:42-03:55: Outro
Resources:
📚Link on GRADIO: huggingface.co/spaces/Kunal7/...
🔧 Application Link: huggingface.co/spaces/Kunal7/...
🖥️ On our blog - learnopencv.com we also share tutorials and code on topics like Image
Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
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🔖Hashtags🔖
#mediapipe #objectdetection #deeplearning #computervision #learnopencv #opencv #AIFitnessTrainer #SquatAnalysis #MediaPipePoseEstimation #PerfectSquats #FitnessTechnology #DeepLearningAlgorithm #WorkoutGuidance #FormCorrection #FitnessRevolution #AIWorkoutBuddy #BuildYourOwnTrainer #FitnessTech #EnhancePerformance #InjuryPrevention #OptimizeWorkout #FitnessGoals #AIInnovation #FitTech #SquatPerfection #AIAssistedWorkouts #TrainSmarter

Пікірлер: 35

  • @LearnOpenCV
    @LearnOpenCV8 ай бұрын

    Check out our FREE Courses at OpenCV University : opencv.org/university/free-courses/

  • @SaqibHussain-in9gs
    @SaqibHussain-in9gsАй бұрын

    Is there is any video while building it?

  • @JorgeLopez-oc7tt
    @JorgeLopez-oc7ttАй бұрын

    it seems streaming on gradio isn't working

  • @pradnyapatil272
    @pradnyapatil2724 ай бұрын

    Ca you give code for other exercises or give some hints about other exercises

  • @LearnOpenCV

    @LearnOpenCV

    3 ай бұрын

    Creating logic for applications is crucial. We have explained how we create our logics in this video: kzread.info/dash/bejne/pq6tsLSLacWwhps.html This will help you.

  • @syoyo7113
    @syoyo71136 ай бұрын

    Hi. May I know the version of Gradio and python interpreter that you are using?

  • @LearnOpenCV

    @LearnOpenCV

    6 ай бұрын

    Python 3.10 and gradio v3.40.1

  • @srivatsakulkarni8250
    @srivatsakulkarni82507 ай бұрын

    Where in the code should we give video as input and where is the output recorded

  • @LearnOpenCV

    @LearnOpenCV

    6 ай бұрын

    Run the app Gradio-Squats (LINK in description) . There are 2 tabs : Upload video and Live Stream. Use the appropriate one, Hope this helped

  • @think7022
    @think70225 ай бұрын

    Plz reply me sir can we built an app for android for motion detection with python code embedded with java 🤔🤔

  • @LearnOpenCV

    @LearnOpenCV

    5 ай бұрын

    You could, but why do you want to embed Java code? OpenCV is available for Java.

  • @user-du8hj6rg6v
    @user-du8hj6rg6v2 ай бұрын

    hey how can I use streamlit for web interface ?

  • @LearnOpenCV

    @LearnOpenCV

    2 ай бұрын

    You can upload your app to streamlit share.

  • @atharvtambekar8733
    @atharvtambekar87334 ай бұрын

    can i integrate this into a react-native app !!??

  • @LearnOpenCV

    @LearnOpenCV

    4 ай бұрын

    Yes you can! Reply with your webapp link and I'll be sure to test it out. :D

  • @maysoonbaraka8712
    @maysoonbaraka87129 ай бұрын

    Can I change to another exercise.? You did a great job!

  • @LearnOpenCV

    @LearnOpenCV

    9 ай бұрын

    Thank you. :) For another exercise, you will have to write the code and logic for it.

  • @ishachaudhari6494

    @ishachaudhari6494

    8 ай бұрын

    Can u give some hints about another exercise..?how to do it

  • @aminehmida8489

    @aminehmida8489

    3 ай бұрын

    @@ishachaudhari6494 i think the key here is you figuring out the thresholds and limits of the exercise you want. Try recording yourself doing it, watch the recording of the correct exercise and build from there. Other than that, it should be straight-forward since this code does it for squats.

  • @SaqibHussain-in9gs
    @SaqibHussain-in9gsАй бұрын

    Can you provide the Code?

  • @LearnOpenCV

    @LearnOpenCV

    Ай бұрын

    Please find the code in the download code section of the blog post!

  • @kumardeepam
    @kumardeepam Жыл бұрын

    Would there be a detailed tutorial?

  • @LearnOpenCV

    @LearnOpenCV

    Жыл бұрын

    You can find a detailed blog post here: learnopencv.com/ai-fitness-trainer-using-mediapipe/

  • @kumardeepam

    @kumardeepam

    Жыл бұрын

    @@LearnOpenCV thank you

  • @RazorLiveGG
    @RazorLiveGG10 ай бұрын

    I have a question, once the code is executed, the live stream section does not work, it pretends to turn on my camera but nothing is displayed, how can it be resolved?

  • @LearnOpenCV

    @LearnOpenCV

    10 ай бұрын

    This application is deployed on Strealit that has issues rendering it Live. Since then we have moved it from StreamLit to Gradio.Please find the updated link in the description

  • @drm8164
    @drm816410 ай бұрын

    Hi, please can i get to script ?

  • @LearnOpenCV

    @LearnOpenCV

    10 ай бұрын

    You can find the Python scripts here: github.com/spmallick/learnopencv/tree/master/AI-Fitness-Trainer-Using-MediaPipe-Analyzing-Squats

  • @manavpanchal2355
    @manavpanchal23552 ай бұрын

    good ai knowledge but no exercise knowledge

  • @vasudevan2917
    @vasudevan29179 ай бұрын

    Please provide the code

  • @LearnOpenCV

    @LearnOpenCV

    9 ай бұрын

    Find the code here: learnopencv.com/ai-fitness-trainer-using-mediapipe/

  • @mazentarek5651
    @mazentarek5651 Жыл бұрын

    that's my grad project idea, guys, you've just ruined it. 🥲

  • @LearnOpenCV

    @LearnOpenCV

    Жыл бұрын

    Hey, you can definitely try for other exercises. :D