{"id":15043485,"url":"https://github.com/fendouai/opencvtutorials","last_synced_at":"2025-10-07T02:06:37.823Z","repository":{"id":39858571,"uuid":"241140048","full_name":"fendouai/OpenCVTutorials","owner":"fendouai","description":"OpenCV-Python4.1 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写在前面的话\n\n**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。\n\n**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。\n\n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。\n\nOpenCV-Python Tutorials官方文档：https://docs.opencv.org/4.1.2/d6/d00/tutorial_py_root.html\n\n# 目录\n\n### [OpenCV中文官方文档](http://www.woshicver.com/.)\n\n*   \u003cspan class=\"caption-text\"\u003eOpenCV简介\u003c/span\u003e\n\n    * [0_OpenCV-Python Tutorials](http://www.woshicver.com/FirstSection/0_OpenCV-Python%20Tutorials/)\n    \n*   \u003cspan class=\"caption-text\"\u003eOpenCV安装\u003c/span\u003e\n\n    *   [1_1_OpenCV-Python教程简介](http://www.woshicver.com/SecondSection/1_1_OpenCV-Python教程简介/)\n    *   [1_2_在Windows中安装OpenCV-Python](http://www.woshicver.com/SecondSection/1_2_在Windows中安装OpenCV-Python/)\n    *   [1_3_在Fedora中安装OpenCV-Python](http://www.woshicver.com/SecondSection/1_3_在Fedora中安装OpenCV-Python/)\n    *   [1_4_在Ubuntu中安装OpenCV-Python](http://www.woshicver.com/SecondSection/1_4_在Ubuntu中安装OpenCV-Python/)\n    \n*   \u003cspan class=\"caption-text\"\u003eOpenCV中的GUI特性\u003c/span\u003e\n\n    *   [2_1_图像入门](http://www.woshicver.com/ThirdSection/2_1_图像入门/)\n    *   [2_2_视频入门](http://www.woshicver.com/ThirdSection/2_2_视频入门/)\n    *   [2_3_OpenCV中的绘图功能](http://www.woshicver.com/ThirdSection/2_3_OpenCV中的绘图功能/)\n    *   [2_4_鼠标作为画笔](http://www.woshicver.com/ThirdSection/2_4_鼠标作为画笔/)\n    *   [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/)\n    \n*   \u003cspan class=\"caption-text\"\u003e核心操作\u003c/span\u003e\n\n    *   [3_1_图像的基本操作](http://www.woshicver.com/FourthSection/3_1_图像的基本操作/)\n    *   [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/)\n    *   [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/)\n    \n*   \u003cspan class=\"caption-text\"\u003eOpenCV中的图像处理\u003c/span\u003e\n\n    *   [4_1_改变颜色空间](http://www.woshicver.com/FifthSection/4_1_改变颜色空间/)\n    *   [4_2_图像几何变换](http://www.woshicver.com/FifthSection/4_2_图像几何变换/)\n    *   [4_3_图像阈值](http://www.woshicver.com/FifthSection/4_3_图像阈值/)\n    *   [4_4_图像平滑](http://www.woshicver.com/FifthSection/4_4_图像平滑/)\n    *   [4_5_形态转换](http://www.woshicver.com/FifthSection/4_5_形态转换/)\n    *   [4_6_图像梯度](http://www.woshicver.com/FifthSection/4_6_图像梯度/)\n    *   [4_7_Canny边缘检测](http://www.woshicver.com/FifthSection/4_7_Canny边缘检测/)\n    *   [4_8_图像金字塔](http://www.woshicver.com/FifthSection/4_8_图像金字塔/)\n    *   [4_9_1_OpenCV中的轮廓](http://www.woshicver.com/FifthSection/4_9_1_OpenCV中的轮廓/)\n    *   [4_9_2_轮廓特征](http://www.woshicver.com/FifthSection/4_9_2_轮廓特征/)\n    *   [4_9_3_轮廓属性](http://www.woshicver.com/FifthSection/4_9_3_轮廓属性/)\n    *   [4_9_4_轮廓：更多属性](http://www.woshicver.com/FifthSection/4_9_4_轮廓：更多属性/)\n    *   [4_9_5_轮廓分层](http://www.woshicver.com/FifthSection/4_9_5_轮廓分层/)\n    *   [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/)\n    *   [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/)\n    *   [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/)\n    *   [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/)\n    *   [4_11_傅里叶变换](http://www.woshicver.com/FifthSection/4_11_傅里叶变换/)\n    *   [4_12_模板匹配](http://www.woshicver.com/FifthSection/4_12_模板匹配/)\n    *   [4_13_霍夫线变换](http://www.woshicver.com/FifthSection/4_13_霍夫线变换/)\n    *   [4_14_霍夫圈变换](http://www.woshicver.com/FifthSection/4_14_霍夫圈变换/)\n    *   [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/)\n    *   [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/)\n    \n*   \u003cspan class=\"caption-text\"\u003e特征检测与描述\u003c/span\u003e\n\n    *   [5_1_理解特征](http://www.woshicver.com/Sixth/5_1_理解特征/)\n    *   [5_2_哈里斯角检测](http://www.woshicver.com/Sixth/5_2_哈里斯角检测/)\n    *   [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/)\n    *   [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/)\n    *   [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）/)\n    *   [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/)\n    *   [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）/)\n    *   [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）/)\n    *   [5_9_特征匹配](http://www.woshicver.com/Sixth/5_9_特征匹配/)\n    *   [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/)\n    \n*   \u003cspan class=\"caption-text\"\u003e视频分析\u003c/span\u003e\n\n    *   [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/)\n    *   [6_2_Meanshift和Camshift](http://www.woshicver.com/Seventh/6_2_Meanshift和Camshift/)\n    *   [6_3_光流](http://www.woshicver.com/Seventh/6_3_光流/)\n    \n*   \u003cspan class=\"caption-text\"\u003e相机校准和3D重建\u003c/span\u003e\n\n    *   [7_1_相机校准](http://www.woshicver.com/Eighth/7_1_相机校准/)\n    *   [7_2_姿态估计](http://www.woshicver.com/Eighth/7_2_姿态估计/)\n    *   [7_3_对极几何](http://www.woshicver.com/Eighth/7_3_对极几何/)\n    *   [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/)\n    \n*   \u003cspan class=\"caption-text\"\u003e机器学习\u003c/span\u003e\n\n    *   [8_1_理解KNN](http://www.woshicver.com/Ninth/8_1_理解KNN/)\n    *   [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/)\n    *   [8_3_理解SVM](http://www.woshicver.com/Ninth/8_3_理解SVM/)\n    *   [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/)\n    *   [8_5_理解K均值聚类](http://www.woshicver.com/Ninth/8_5_理解K均值聚类/)\n    *   [8_6_OpenCV中的K均值](http://www.woshicver.com/Ninth/8_6_OpenCV中的K均值/)\n    \n*   \u003cspan class=\"caption-text\"\u003e计算摄影学\u003c/span\u003e\n\n    *   [9_1_图像去噪](http://www.woshicver.com/Tenth/9_1_图像去噪/)\n    *   [9_2_图像修补](http://www.woshicver.com/Tenth/9_2_图像修补/)\n    *   [9_3_高动态范围](http://www.woshicver.com/Tenth/9_3_高动态范围/)\n    \n*   \u003cspan class=\"caption-text\"\u003e目标检测\u003c/span\u003e\n\n    *   [10_1_级联分类器](http://www.woshicver.com/Eleventh/10_1_级联分类器/)\n    *   [10_2_级联分类器训练](http://www.woshicver.com/Eleventh/10_2_级联分类器训练/)\n    \n*   \u003cspan class=\"caption-text\"\u003eOpenCV-Python Binding\u003c/span\u003e\n\n    *   [11_1_OpenCV-Python Bindings](http://www.woshicver.com/Twelfth/11_1_OpenCV-Python%20Bindings/)\n\n# 关于\n\nOpenCV 中文官方文档\n\n[http://woshicver.com/](http://woshicver.com/)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffendouai%2Fopencvtutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffendouai%2Fopencvtutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffendouai%2Fopencvtutorials/lists"}