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from IPython.display import Image, HTML, IFrame

Machine Learning with OpenCV for computer vision

These lessons have been written with a certain type of learner in mind. They assume you are comfortable with writing and using Python code. They also assume a general understanding of statistical concepts. Nothing too esoteric but you should have a working knowledge of regression and significance.



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Image('images/OpenCV_logo.png')









    



---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-1-84423cf22012> in <module>()
----> 1 Image('images/OpenCV_logo.png')

NameError: name 'Image' is not defined

OpenCV (Open Source Computer Vision) is an open-source BSD-licensed library that includes hundreds of computer vision algorithms. It is:

Cross-platform: Windows, Mac, Linux (even Raspberry Pi)
Languages: C++, C, Python & Java
Wrappers: MATLAB/OCTAVE, C#, Ruby, etc
Fast - utilizing threading, CUDA & OpenCL
Python interface uses NumPy matrices for images
Able to be integrated into iPhone and Android apps
Includes machine learning algorithms (although we'll be using scikit-learn)

It can be downloaded for free from their website or installed via a package manager like homebrew on Macs.

What is an image?

What is OpenCV?

OpenCV (Open Source Computer Vision) is an open-source BSD-licensed library that includes hundreds of computer vision algorithms. It is:

Cross-platform: Windows, Mac, Linux (even Raspberry Pi)
Languages: C++, C, Python & Java
Wrappers: MATLAB/OCTAVE, C#, Ruby, etc
Fast - utilizing threading, CUDA & OpenCL
Python interface uses NumPy matrices for images
Able to be integrated into iPhone and Android apps
Includes machine learning algorithms (although we'll be using scikit-learn)

It can be downloaded for free from their website or installed via a package manager like homebrew on Macs.

What is machine learning? Quick intro: statistics, training, un/supervised

What is an image? Images, pixels, grayscale, colour, show pic of image matrix.



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