Must-see "OpenCV-Python Tutorials"
The site of "OpenCV-Python tutorial document" has been launched.
[Welcome to the OpenCV-Python tutorial documentation page!] (http://labs.eecs.tottori-u.ac.jp/sd/Member/oyamada/OpenCV/html/index.html)
Please use the above site to read the complete translation. The following translations are inadequate as translations and are somewhat unique in comparison to the relevant python libraries.
OpenCV 3.2 OpenCV-Python Tutorials http://docs.opencv.org/3.2.0/d9/df8/tutorial_root.html It is published in. (Recently, the accuracy of Google Translate has improved, so it may be enough to try Google Translate rather than reading this article.)
OpenCV 3.1 OpenCV-Python Tutorials http://docs.opencv.org/3.1.0/d6/d00/tutorial_py_root.html#gsc.tab=0 Published in (I noticed 2016.2.28).
Therefore, the following content (translation of the tutorial of OpenCV3.0) is out of date. Correspondence between the actual Python binding and the script introduced in the tutorial This is an improvement over the tutorial for OpenCV 3.0. Please read the following sentences with that in mind.
With the release of OpenCV3, the structure of the original site of OpenCV has changed significantly.
OpenCV-Python sources too Release 3.0-beta OpenCV-Python Tutorials Release 3.1.0 OpenCV-Python Tutorials Detailed description is increasing in.
On the OpenCV2 page, The description of the function interface in Python was written under the description of the function in C ++.
In the description of OpenCV3 this time, About the Python interface The example is well described I think that it is quite easy to read even for readers who are new to Python and OpenCV.
The following is a stray translation of the first page. (Please let me know if the translation is published in a solid place. Please be aware that this translation may be deleted for no reason.
Apparently, the fragment of the script that I followed the link to is on Github below.
rajatsaxena/OpenCV https://github.com/rajatsaxena/OpenCV )
The continuation of the translation is below. Must-see "OpenCV-Python Tutorials" 2 In addition, the version with comparison with other image recognition libraries and books is placed in the following location.
-OpenCV-Python & Scikit-image-Addition to "Must-see" OpenCV-Python Tutorials "2" ・ "OpenCV-Python Tutorials", "Practical Computer Vision" and scikit-learn
There is also a C ++ version of the OpenCV tutorial. Release 3.0-beta OpenCV Tutorials Release 3.1.0 OpenCV Tutorials Nightly 3.x docs
An example in OpenCV C ++ (Extract destination of opencv_3.1.0) \ sources \ samples \ cpp (Extract destination of opencv_3.1.0) \ sources \ samples \ cpp \ tutorial_code Included in. There are many examples in the C ++ version that are not included in the Python version, so if you are comfortable with C ++, please enjoy it.
OpenCV-Python Tutorials Introduction to OpenCV
Introduction
Learn how to setup OpenCV-Python on your computer!
Learn how to set up OpenCV-Python on your computer
Here you will learn how to display and save images and videos, control mouse events and create trackbar.
Learn how to view and save images and videos, control mouse events, and create track bars.
In this section you will learn basic operations on image like pixel editing, geometric transformations, code optimization, some mathematical tools etc.
In this session, you will learn basic operations such as pixel value editing, geometric transformation, code optimization, and some mathematical tools.
Image Processing in OpenCV
In this section you will learn different image processing functions inside OpenCV.
In this session, you will learn about the various image processing functions within OpenCV.
Feature Detection and Description
In this section you will learn about feature detectors and descriptors
In this session, you will learn about feature detectors (of images) and descriptors.
In this section you will learn different techniques to work with videos like object tracking etc.
In this session, you will learn various techniques for working with videos, such as object tracking.
Camera Calibration and 3D Reconstruction
In this section we will learn about camera calibration, stereo imaging etc.
In this session you will learn about camera configurations, stereo images and more.
In this section you will learn different image processing functions inside OpenCV.
In this session, you will learn various machine learning functions inside OpenCV.
Computational Photography
In this section you will learn different computational photography techniques like image denoising etc.
In this session, you will learn various computational photography techniques such as image denoising.
Object Detection
In this section you will object detection techniques like face detection etc.
In this session, you will learn object detection techniques such as face detection.
In this section, we will see how OpenCV-Python bindings are generated
In this session, you can read how the OpenCV-Python bindings are generated.
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