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openCV
with Python
David Hsu
Installations - windows
• Python 2.7 or 3.5
https://www.python.org/downloads/
• Frequently used Libraries : Numpy, Matplotlib, Scipy
http://www.scipy.org/
• Or try Anaconda (Python + popular libraries)
https://www.continuum.io/downloads
• openCV 3.0.0
http://opencv.org/downloads.html
• Copy “cv2.pyd” from pathopencvbuildpython2.7x86(x64)
Paste “cv2.pyd” to pathAnacondaLibsite-packages
In python shell : import cv2
cv2.__version__ (two underscores)
‘3.0.0’
Installations - mac
• Python 2.7 or 3.5 or Anaconda
https://www.python.org/downloads/
https://www.continuum.io/downloads
• Frequently used Libraries : Numpy, Matplotlib, Scipy
in Terminals :
pip install –U numpy scipy matplotlib (for Python 2.X)
pip3 install –U numpy scipy matplotlib (for Python 3.X)
• Download openCV http://opencv.org/downloads.html
• Install Xcode https://developer.apple.com/xcode/
• Install Cmake https://cmake.org/download/
• Build openCV for Python
http://luigolas.com/blog/2014/09/15/install-opencv3-with-
python-3-mac-osx/
Ex1: read/show images
• Put the image (lena.bmp) and cv_ex1.py in the same folder
•
Ex1: read/show images
•
Ex2: open videos
• Put the video (test.mp4) and cv_ex2.py in the same folder
•
Ex2: open videos
•
Ex3: using webCam
• Very similar to video open, just change the argument to be 0
•
Ex4: edges detection
• Adopt “canny” method to achieve edges detection
•
Ex4: edges detection
•
Ex5: lines detection
• Lines detection using Hough Transform
 line equation using (r, thita)
•
Ex5: lines detection
•
Ex6: object tracking
using color filtering
• using color as features : quick and dirty
• Detecting something in blue
•
Ex6: object tracking
using color filtering
Ex7: contours classification
• blue objects detextion  shapes recognition
• Rectangle  shown in green
• multiple-sides-polygon (like circles)  shown in red
Ex7: contours classification
•
Lightening condition invariant?
• Color looks different with lightening issue.
Finding corners’ features
• Color invariant, Scale invariant
Finding corners’ features
• Color invariant, Scale invariant
Features matching
• features matching with two images
• Features method : ORB (Oriented FAST and Rotated BRIEF)
• Matching method : BruteForceMatcher
•
Ex8: object tracking
using corners’ features
•
Ex8: object tracking
using corners’ features
Ex9: Face recognition/tracking
• Download the training model (haarcascade_frontalface_default.xml')
and put it in the same folder with the code cv_ex9.py.
•
Ex9: Face recognition/tracking
•
References
• You can access the example from
https://github.com/ntudavid/CV_lab
• Reference : OpenCV – Python Tutorials
https://opencv-python-tutroals.readthedocs.org/en/latest/

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