matlab与python混编opencv_Python_(OpenCV, 计算机视觉, MATLAB, 机器学习)

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于 2020-12-21 07:49:00 发布

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文章标签： matlab与python混编opencv

本文链接：https://blog.youkuaiyun.com/weixin_39874809/article/details/111776735

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本文介绍了如何在MATLAB中利用Python模块进行计算机视觉处理，包括使用Anaconda设置环境，调用OpenCV进行图像处理，如颜色空间转换、形态学操作、轮廓检测等。同时，提到了Python与其他编程工具如Sublime Text的配合使用，并讨论了频域处理的优势以及图像分割的基本思想。

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Python is very popular in this uneven world. Here I would like to present some useful tips and resultful methods I have learned from this (May 18th, 2020) busy afternoon.

Python is a kind of Interpretive language (解释性语言), which mistreats the encoding and decoding in compiled form language as the same processing. It is an easy fore python to transplant to other platforms, and all we need to do is offer the corresponding interpreter.

The choices of training in coding with python are Sublime text, Pycharm; Xcode; Jupyter notebook, and MATLAB from my point of view.

MATLAB could efficiently employ python_modules for utilizing the processes as follows:

Download Anaconda-Navigator (python很有用的kits打包软件);

pyenv('path_of _anaconda');

module_func1 = py.importlib.import_module('func1');

Using py.cv2.module_func1

As for Sublime Text, you should define the system environment first: Tools-->Build System --> New Build environment -->

{

"cmd': ["python3", "-u", "$file"] #$file refers to current file

}

After cv2.imshow, the following codes should be added to guarantee a sufficient display time:

delay_time = -1