Pose Detection
Project Description:
Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.
Requirements:
Following modules need to be installed for it to work properly:
- Mediapipe
- Cv2
OpenCV:
OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human.
It can be installed using “pip install opencv-python”
Mediapipe:
MediaPipe is a framework for building multimodal (eg. video, audio, any time series data), cross platform (i.e Android, iOS, web, edge devices) applied ML pipelines.
It can be installed using “pip install mediapipe”
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