opencv python raspberry pi 4
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title: getting started with opencv on raspberry pi 4 using python: a step-by-step tutorial
introduction:
opencv (open source computer vision library) is an open-source computer vision and machine learning software library. it provides a wide range of functions for real-time computer vision applications. raspberry pi 4, with its compact size and processing capabilities, is an excellent platform for implementing computer vision projects using opencv.
in this tutorial, you will learn how to set up opencv on a raspberry pi 4 and run a simple python script to capture video from a camera module.
requirements:
step 1: install opencv on raspberry pi 4
before installing opencv, ensure your raspberry pi is up-to-date by running the following commands in the terminal:
now, let's install opencv using pip:
this command will install the opencv python bindings on your raspberry pi.
step 2: connect camera module
if you're using the raspberry pi camera module, connect it to the raspberry pi's camera port. ensure it is securely attached.
step 3: enable camera interface
run the following command to open the raspberry pi configuration menu:
navigate to "interfacing options" and select "camera." choose "yes" to enable the camera interface and reboot your raspberry pi.
step 4: capture video with opencv
create a new python script (e.g., capture_video.py) and open it with a text editor. paste the following code into the script:
save the script and close the text editor.
step 5: run the script
navigate to the directory containing your python script using the terminal and run the script using the following command:
you should see a window displaying live video captured from your camera module. press 'q' to exit the video stream.
conclusion:
congratulations! you've successfully set up opencv on your raspberry pi 4 and captured video using a camera module. this tutorial provides a foundation for more advanc ...
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