Using opencv and python on the pi 2 with IDLE
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OpenCV (Open Source Computer Vision Library) is a powerful open-source computer vision and machine learning software library. Raspberry Pi 2, a credit-card-sized single-board computer, is an excellent platform for implementing computer vision projects. In this tutorial, we will guide you through the process of setting up OpenCV on Raspberry Pi 2 and using it with Python in IDLE.
Open a terminal on your Raspberry Pi 2 and run the following commands:
These commands will update your package lists, upgrade existing packages, and install the Python OpenCV package.
Let's create a simple Python script to test if OpenCV is installed correctly. Open IDLE by typing the following command in the terminal:
Now, create a new Python file and enter the following code:
Replace 'path/to/your/image.jpg' with the actual path to an image file on your Raspberry Pi.
Save the file and run it. You should see a window displaying the loaded image. This confirms that OpenCV is successfully installed and working on your Raspberry Pi 2.
Let's create another Python script to capture video from a connected webcam. Open a new Python file in IDLE and enter the following code:
Save the file and run it. You should see a window displaying the live video feed from your webcam. Press 'q' to exit the video capture.
Congratulations! You've successfully set up OpenCV on Raspberry Pi 2 and used it with Python in IDLE. This tutorial provides a starting point for more complex computer vision projects on your Raspberry Pi. Explore the OpenCV documentation for a wide range of functions and capabilities to enhance your projects.
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