PrecisionPose is a real-time human pose estimation tool using MediaPipe. It accurately detects and visualizes body landmarks in images and videos, ideal for fitness tracking, human-computer interaction, and sports analysis. With efficient algorithms, it ensures quick and reliable pose detection for seamless integration and development.
PrecisionPose is a state-of-the-art tool for real-time human pose estimation, leveraging MediaPipe's robust capabilities. This project effectively detects and visualizes key body landmarks in both images and video streams, making it an ideal solution for applications in fitness tracking, human-computer interaction, and sports analysis.
- Real-time Pose Detection: Accurately detects human poses in static images and live video streams.
- Key Landmark Visualization: Visualizes detected body landmarks, facilitating intuitive analysis and feedback.
- Efficient Algorithms: Utilizes MediaPipe's optimized algorithms for quick and reliable pose detection.
- Flexible Integration: Easily integrates into various applications, allowing for seamless development.
To get started with PrecisionPose, you'll need to install the required dependencies. You can do this using pip:
pip install mediapipe opencv-python