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example_driven_guide_opencv

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Info

This repository is my study notes and referred codes, some parameters may be modified supporting by R.P. and image size.

The syllabus mainly includes Basic Drawing, Image Processing, Histogram, Smoothing and Bluffing, Thresholding, Detection and Contours.

Third-Parties Installation

In the Windows Command Prompt, type the following command to install packages:

pip install -r install_requir

Note: The more specific algorithms can referred by scikit-image (you may developed some rigor and understanding in the computer vision field)

Usage

In your terminal:

python <PYTHON-SOURCE-FILE-PATH> [-i | --image] <IMAGE-SOURCE-FILE-PATH>

Specific notebook

The last one is important, you should be able to type:

jupyter notebook

in your terminal window and see the notebook panel load in your web browser.

Try opening and running a notebook from the material to see check that it works.

This tutorial will be referred and grasped for fetching the project simply

Essential syntax for jupyter is below:

jupyter notebook [IPYNB-FILE-PATH]

More info in folder Notebooks