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Web-app made using Streamlit , python based library made for human pose - recognition using core modules - Media-pipe and OpenCV for precise body pose estimation

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CVexcercise

To Run the Web app Locally

1) Clone the repository by running the following command in Command Prompt or Anaconda prompt :-

git clone https://github.com/HeyAnirudh/CVexcercise

2) installing dependencies :-

pip install requirements.txt

3) Run the Web-app by executing the following command :-

  streamlit run maincopy.py

3)To test the backend pose-estimation code :-

   python trial.py

Contributors

@kskrao219 @HeyAnirudh

Web App using instructions :-

Choose the option from the

Dropdown 
Posedetection
Excercise
References
Posedetection 
This option identifies the landmarks and 
nodes using Blazepose Detector
Exercise 
This option identies , counts and displays 
the reps of a particular exercise by the use.
##Contributors @kskrao219

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Web-app made using Streamlit , python based library made for human pose - recognition using core modules - Media-pipe and OpenCV for precise body pose estimation

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  • Python 51.4%
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