• OpenCV is an open-source library that includes several hundreds of computer vision algorithms
  • You can use several languages to cooperate with that (Python;Matlab;Java;C++)

This is the tutorial for downloading OpenCV in Pycharm:

  • Download the package in the official website 
  • Extract the package and in the file Opencv \ Build \ Python \cv2 select the.pyd file under the corresponding Python version folder (for example, mine is Python-3.7) (cv2.cp37-win_amd64.pyd)
  • Paste this .pyd file in the environment you installed in the path  Lib\site-packages. Rename it as cv2.pyd
  • You can use OpenCV in corresponding interpreter.
 

Distracting the poker card A from the initial picture

Tip: use PS to know to position of the four corner

Shape identifying:

  • lDetecting contours
  • Using arclength & contourarea to get perimeter & area
  • Calculating the number of corner points

Plate detection

Detecting the Russian plate, you can see that only the Russian plate is detective while the American & Chinese plate can not be detected, because the xml file is trained by Russian plate. 

Face detection

Detecting the human face by using the xml file which is available on the website of openCV

Finding the code in github 

Machine learning

  • Multidisciplinary interdisciplinary subject
  • Simulate or implement human learning behavior
  • Core of artificial intelligence

                                            Compile software(Based on python):

Predicting the sales based on the three media. Comparing the predicted data with the actual data.

       Click here to get Data & Code

(Using ads.ipynb &advertising.csv)

 

Number identifying：

  • Number identifying is a problem of multi-classification, totally 10 categories.
  • Train a full connected neural network
             Click here to get code