November 2018
Intermediate to advanced
492 pages
12h 19m
English
Content preview from Hands-On Image Processing with Python
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Installing some image processing libraries in Python
In Python, there are many libraries that we can use for image processing. The ones we are going to use are: NumPy, SciPy, scikit-image, PIL (Pillow), OpenCV, scikit-learn, SimpleITK, and Matplotlib.
The matplotlib library will primarily be used for display purposes, whereas numpy will be used for storing an image. The scikit-learn library will be used for building machine-learning models for image processing, and scipy will be used mainly for image enhancements. The scikit-image, mahotas, and opencv libraries will be used for different image processing algorithms.
The following code block shows how the libraries that we are going to use can be downloaded and installed with pip from a P ...
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