Description

Hand Raise Tracker is a pose estimation detection project which counts how many times both the hands are raised straight up in the air simultaneously. It works by first getting all the necessary points which are to be used for calculation using Mediapipe library. After that it access camera using OpenCV to find and estimate the pose. Then the calculation of the angle between pelvic region, shoulder and elbow is done using NumPy library and a tracker is used to count the number of hand raises.

How to run it?

Step 1: Clone the Repository:

git clone https://github.com/Utkarsh251106/Hand-Raise-Tracker

Step 2: Create a conda environment:

conda create -n venv python=3.12.7 -y
conda activate venv

Step 3: Install the requirements:

pip install -r requirements.txt

Step 4: To run the code or web-app:

To run the code

# Start the Jupyter Notebook environment using the command
jupyter notebook

Run your Code.ipynb file

To run the Web-App

# Finally run the following command(Upload a video)
streamlit run Web-App-Cloud.py

# Finally run the following command(For Real Time)
streamlit run Web-App.py

If you choose to upload the video, this is what should see