Part 1:

Download the OpenCVTest_1.py from the files.

This program opens the file in the same directory names "cam.jpg" and displays the original image and a Canny edges of the original image.

Just like we've done in the previous log, create a file called OpenCVTest1.py using the following command:

nano OpenCVTest1.py

Then copy/paste in OpenCVTest1.py and press CTRL+O and CTRL+X

(Now you should be back in the command line, if you're unsure about this stage, examine the log 6)

And execute the code using the following command.

python OpenCVTest1.py

P.s. the Pi camera comes with a protective cover on its lens, make sure that you've removed it otherwise you'd probably get a complete black picture instead of a canny edges of the original image.

Part 2:

Download the OpenCVTest_2.1.py from the files.

This program opens a picam stream, attempts to change to 320x240 resolution, and shows the original image of each frame and also a Canny edges of each frame.

Now repeat the same process as the Part 1, create a file called OpenCVTest2.py using the following command:

nano OpenCVTest2.py

Then copy/paste in OpenCVTest2.py and press CTRL+O and CTRL+X

(Now you should be back in the command line, if you're unsure about this stage, examine the log 6)

And execute the code using the following command.

python OpenCVTest2.py

Part 3:

Download the OpenCVTest_3.1.py from the files.

This program tracks a red ball and outputs its location in terms of coordinates.

Now repeat the same process as the Part 1, create a file called OpenCVTest3.py using the following command:

nano OpenCVTest3.py

Then copy/paste in OpenCVTest3.py and press CTRL+O and CTRL+X

(Now you should be back in the command line, if you're unsure about this stage, examine the log 6)

And execute the code using the following command.

python OpenCVTest3.py

Having done this we've almost concluded the project, in the next log I'll be working on the flight control of the quadcopter.