OpenCV4

Overview

This is a tutorial on how to install OpenCV4 and use camera module.

Materials/Prerequisites

• Raspberry Pi

• Raspberry Pi Camera

Process

Install OpenCV

Follow these instructions to install OpenCV onto your Raspberry Pi using the terminal.

• Important note: don't do make-j4. It may freeze so it best to just do make or make-j1.

After you have successfully installed OpenCV, you will be able to use import cv2. If you do it on the terminal, you want to put in these code source ~/.profile and then workon cv.

Capturing image

Following these step to set up your camera.

• Note: Ignoring GoPiGo installation.

Once the camera is set up, it is ready to take pictures. In order to capture image, follow these instruction

Taking picture code

Note:

• Use sleep (measured in seconds) to create a delay between the preview: time.sleep(seconds)

• Another way to enable your camera is: go to the terminal → type in sudo raspi-config → select Enable Camera → press Enter → select Finish → reboot and log back on to the Raspberry Pi.

Edge Detector

Follow these instruction for Canny edge detection.

• Note: Scroll down to the Explanation.

In order to use build-in function in Open CV: remember to import cv2. In the instruction, the import cv2 as cv cv2

Use the following build-in code for Canny Detection:

Canny( detected_edges, detected_edges, lowThreshold, lowThreshold*ratio, kernel_size )

Ex: dst = cv.Canny(src, 50, 200, None, 3)

Authors

• Nhut Dang

• Robert Goodloe

• Ethan Shry(TA)

Fall 2018

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