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https://github.com/fendouai/opencvtutorials
OpenCV-Python4.1 中文文档
https://github.com/fendouai/opencvtutorials
computer-vision deep-learning machine-learning object-detection opencv opencv-python python
Last synced: 6 days ago
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OpenCV-Python4.1 中文文档
- Host: GitHub
- URL: https://github.com/fendouai/opencvtutorials
- Owner: fendouai
- License: apache-2.0
- Created: 2020-02-17T15:21:43.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-08-05T06:57:51.000Z (over 2 years ago)
- Last Synced: 2024-10-16T18:32:30.820Z (19 days ago)
- Topics: computer-vision, deep-learning, machine-learning, object-detection, opencv, opencv-python, python
- Language: Python
- Homepage: http://woshicver.com/
- Size: 231 KB
- Stars: 1,365
- Watchers: 30
- Forks: 354
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 写在前面的话
**OpenCV**是计算机视觉中经典的专用库,其支持多语言、跨平台,功能强大。**OpenCV-Python**为OpenCV提供了Python接口,使得使用者在Python中能够调用C/C++,在保证易读性和运行效率的前提下,实现所需的功能。
**OpenCV-Python Tutorials**是官方提供的文档,其内容全面、简单易懂,使得初学者能够快速上手使用。2014年段力辉在当时已翻译过OpenCV3.0,但时隔五年,如今的**OpenCV4.1**中许多函数和内容已经有所更新,因此有必要对该官方文档再进行一次翻译。
翻译过程中难免有所疏漏,如发现错误,希望大家指出,谢谢支持。
OpenCV-Python Tutorials官方文档:https://docs.opencv.org/4.1.2/d6/d00/tutorial_py_root.html
# 目录
### [OpenCV中文官方文档](http://www.woshicver.com/.)
*
* [0_OpenCV-Python Tutorials](http://www.woshicver.com/FirstSection/0_OpenCV-Python%20Tutorials/)
** [1_1_OpenCV-Python教程简介](http://www.woshicver.com/SecondSection/1_1_OpenCV-Python教程简介/)
* [1_2_在Windows中安装OpenCV-Python](http://www.woshicver.com/SecondSection/1_2_在Windows中安装OpenCV-Python/)
* [1_3_在Fedora中安装OpenCV-Python](http://www.woshicver.com/SecondSection/1_3_在Fedora中安装OpenCV-Python/)
* [1_4_在Ubuntu中安装OpenCV-Python](http://www.woshicver.com/SecondSection/1_4_在Ubuntu中安装OpenCV-Python/)
** [2_1_图像入门](http://www.woshicver.com/ThirdSection/2_1_图像入门/)
* [2_2_视频入门](http://www.woshicver.com/ThirdSection/2_2_视频入门/)
* [2_3_OpenCV中的绘图功能](http://www.woshicver.com/ThirdSection/2_3_OpenCV中的绘图功能/)
* [2_4_鼠标作为画笔](http://www.woshicver.com/ThirdSection/2_4_鼠标作为画笔/)
* [2_5_轨迹栏作为调色板](http://www.woshicver.com/ThirdSection/2_5_轨迹栏作为调色板/)
** [3_1_图像的基本操作](http://www.woshicver.com/FourthSection/3_1_图像的基本操作/)
* [3_2_图像上的算法运算](http://www.woshicver.com/FourthSection/3_2_图像上的算法运算/)
* [3_3_性能衡量和提升技术](http://www.woshicver.com/FourthSection/3_3_性能衡量和提升技术/)
** [4_1_改变颜色空间](http://www.woshicver.com/FifthSection/4_1_改变颜色空间/)
* [4_2_图像几何变换](http://www.woshicver.com/FifthSection/4_2_图像几何变换/)
* [4_3_图像阈值](http://www.woshicver.com/FifthSection/4_3_图像阈值/)
* [4_4_图像平滑](http://www.woshicver.com/FifthSection/4_4_图像平滑/)
* [4_5_形态转换](http://www.woshicver.com/FifthSection/4_5_形态转换/)
* [4_6_图像梯度](http://www.woshicver.com/FifthSection/4_6_图像梯度/)
* [4_7_Canny边缘检测](http://www.woshicver.com/FifthSection/4_7_Canny边缘检测/)
* [4_8_图像金字塔](http://www.woshicver.com/FifthSection/4_8_图像金字塔/)
* [4_9_1_OpenCV中的轮廓](http://www.woshicver.com/FifthSection/4_9_1_OpenCV中的轮廓/)
* [4_9_2_轮廓特征](http://www.woshicver.com/FifthSection/4_9_2_轮廓特征/)
* [4_9_3_轮廓属性](http://www.woshicver.com/FifthSection/4_9_3_轮廓属性/)
* [4_9_4_轮廓:更多属性](http://www.woshicver.com/FifthSection/4_9_4_轮廓:更多属性/)
* [4_9_5_轮廓分层](http://www.woshicver.com/FifthSection/4_9_5_轮廓分层/)
* [4_10_1_直方图-1:查找,绘制,分析](http://www.woshicver.com/FifthSection/4_10_1_直方图-1:查找,绘制,分析/)
* [4_10_2_直方图-2:直方图均衡](http://www.woshicver.com/FifthSection/4_10_2_直方图-2:直方图均衡/)
* [4_10_3_直方图3:二维直方图](http://www.woshicver.com/FifthSection/4_10_3_直方图3:二维直方图/)
* [4_10_4_直方图-4:直方图反投影](http://www.woshicver.com/FifthSection/4_10_4_直方图-4:直方图反投影/)
* [4_11_傅里叶变换](http://www.woshicver.com/FifthSection/4_11_傅里叶变换/)
* [4_12_模板匹配](http://www.woshicver.com/FifthSection/4_12_模板匹配/)
* [4_13_霍夫线变换](http://www.woshicver.com/FifthSection/4_13_霍夫线变换/)
* [4_14_霍夫圈变换](http://www.woshicver.com/FifthSection/4_14_霍夫圈变换/)
* [4_15_图像分割与分水岭算法](http://www.woshicver.com/FifthSection/4_15_图像分割与分水岭算法/)
* [4_16_交互式前景提取使用GrabCut算法](http://www.woshicver.com/FifthSection/4_16_交互式前景提取使用GrabCut算法/)
** [5_1_理解特征](http://www.woshicver.com/Sixth/5_1_理解特征/)
* [5_2_哈里斯角检测](http://www.woshicver.com/Sixth/5_2_哈里斯角检测/)
* [5_3_Shi-Tomasi拐角探测器和良好的跟踪功能](http://www.woshicver.com/Sixth/5_3_Shi-Tomasi拐角探测器和良好的跟踪功能/)
* [5_4_SIFT(尺度不变特征变换)简介](http://www.woshicver.com/Sixth/5_4_SIFT(尺度不变特征变换)简介/)
* [5_5_SURF简介(加速的强大功能)](http://www.woshicver.com/Sixth/5_5_SURF简介(加速的强大功能)/)
* [5_6_用于角点检测的FAST算法](http://www.woshicver.com/Sixth/5_6_用于角点检测的FAST算法/)
* [5_7_BRIEF(二进制的鲁棒独立基本特征)](http://www.woshicver.com/Sixth/5_7_BRIEF(二进制的鲁棒独立基本特征)/)
* [5_8_ORB(定向快速和旋转简要)](http://www.woshicver.com/Sixth/5_8_ORB(定向快速和旋转简要)/)
* [5_9_特征匹配](http://www.woshicver.com/Sixth/5_9_特征匹配/)
* [5_10_特征匹配+单应性查找对象](http://www.woshicver.com/Sixth/5_10_特征匹配+单应性查找对象/)
** [6_1_如何使用背景分离方法](http://www.woshicver.com/Seventh/6_1_如何使用背景分离方法/)
* [6_2_Meanshift和Camshift](http://www.woshicver.com/Seventh/6_2_Meanshift和Camshift/)
* [6_3_光流](http://www.woshicver.com/Seventh/6_3_光流/)
** [7_1_相机校准](http://www.woshicver.com/Eighth/7_1_相机校准/)
* [7_2_姿态估计](http://www.woshicver.com/Eighth/7_2_姿态估计/)
* [7_3_对极几何](http://www.woshicver.com/Eighth/7_3_对极几何/)
* [7_4_立体图像的深度图](http://www.woshicver.com/Eighth/7_4_立体图像的深度图/)
** [8_1_理解KNN](http://www.woshicver.com/Ninth/8_1_理解KNN/)
* [8_2_使用OCR手写数据集运行KNN](http://www.woshicver.com/Ninth/8_2_使用OCR手写数据集运行KNN/)
* [8_3_理解SVM](http://www.woshicver.com/Ninth/8_3_理解SVM/)
* [8_4_使用OCR手写数据集运行SVM](http://www.woshicver.com/Ninth/8_4_使用OCR手写数据集运行SVM/)
* [8_5_理解K均值聚类](http://www.woshicver.com/Ninth/8_5_理解K均值聚类/)
* [8_6_OpenCV中的K均值](http://www.woshicver.com/Ninth/8_6_OpenCV中的K均值/)
** [9_1_图像去噪](http://www.woshicver.com/Tenth/9_1_图像去噪/)
* [9_2_图像修补](http://www.woshicver.com/Tenth/9_2_图像修补/)
* [9_3_高动态范围](http://www.woshicver.com/Tenth/9_3_高动态范围/)
** [10_1_级联分类器](http://www.woshicver.com/Eleventh/10_1_级联分类器/)
* [10_2_级联分类器训练](http://www.woshicver.com/Eleventh/10_2_级联分类器训练/)
** [11_1_OpenCV-Python Bindings](http://www.woshicver.com/Twelfth/11_1_OpenCV-Python%20Bindings/)
# 关于
OpenCV 中文官方文档
[http://woshicver.com/](http://woshicver.com/)