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Great resource here, samples in 3 languages: C++, Java, Python.

For help on OpenCV:

$ python
Python 3.7.0 (default, Jun 28 2018, 07:39:16) 
...
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
>>> help(cv2)

>>> 

cam.test.01.py, Basics. Take a snapshot and save it.

cam.test.02.py, Video test.

With image size setting (width & height).

cam.test.03.py, Take snapshot, display info.

cam.test.04.py, Contour detection

 one

 two

cam.test.05.py, Color detection, get started

cam.test.06.py, Color detection, Act 2

detection.1.py, Hough algorithms, getting started

detection.2.py, Hough algorithms, WIP

detection.3.py, Hough algorithms, Non Probabilistic

detection.4.py, Hough algorithms, Circle Detection

detection.5.py, Path detection, contours approach

detection.6.py, Path detection, pixel approach, not bad!

On only one static image. Will implement camera later.

detection.7.py, Path detection, pixel approach, with camera

Like detection.6.py, with a camera.

Path detection with a camera
Path detection

The path is plotted on the image, the courses are displayed in the background terminal. Those information would be sufficient to drive the robot carrying the camera.


Also check this out..., Object detection. and this


Following a path

Resources at

Face recognition

OpenCV Image manipulation

Very good paper:

Glossary:
  • ROI: Region Of Interest
  • PID algorithm: proportional-integral-derivative
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