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By Kevin McAleer, 2 Minutes
This guide covers the installation process and the basic requirements to get you started with face, hand, and posture detection.
In the ever-evolving field of computer vision, having the right tools is crucial. CVZone, a sought-after computer vision library, brings robust capabilities to developers. When combined with the flexibility of a Raspberry Pi, you can harness its power for various applications, including face, hand, and posture detection. This tutorial aims to guide you through setting up your Raspberry Pi environment to use CVZone efficiently.
OpenCV is a foundational library for computer vision. Install it using the following commands:
sudo apt-get update
sudo apt-get install libopencv-dev python3-opencv
With OpenCV in place, you can now proceed to install CVZone:
pip3 install cvzone
With CVZone and OpenCV installed on your Raspberry Pi, you’ve established a solid foundation for diving into computer vision projects. The combination of these tools with the compact and affordable Raspberry Pi platform empowers you to experiment, innovate, and deploy real-world applications.
Remember, while this tutorial equips you with the necessary tools, the true exploration begins when you start experimenting with various detection and recognition algorithms, tweaking performance parameters, or integrating additional libraries. The world of computer vision on Raspberry Pi is vast and waiting for you to make your mark!