OpenCV-Python Tutorials目錄

版本 3.4.6

1 Introduction to OpenCV OpenCV介紹
Learn how to setup OpenCV-Python on your computer!

2 Gui Features in OpenCV

Here you will learn how to display and save images and videos, control mouse events and create trackbar.

2.1 Getting Started with Images 圖像

2.2 Getting Started with Videos 視頻

2.3 Drawing Functions in OpenCV 畫圖

2.4 Mouse as a Paint-Brush 鼠標筆刷

2.5 Trackbar as the Color Palette 調色板

3 Core Operations

In this section you will learn basic operations on image like pixel editing, geometric transformations, code optimization, some mathematical tools etc.

3.1 Basic Operations on Images 圖像基本操做

3.2 Arithmetic Operations on Images 圖像算術操做

3.3 Performance Measurement and Improvement Techniques 性能測量和提高技巧

4 Image Processing in OpenCV
In this section you will learn different image processing functions inside OpenCV.

4.1 Changing Colorspaces 改變顏色空間

4.2 Geometric Transformations of Images 圖像幾何變換

4.3 Image Thresholding 圖像閾值

4.4 Smoothing Images 圖像平滑

4.5 Morphological Transformations 形態學變換

4.6 Image Gradients 圖像梯度

4.7 Canny Edge Detection Canny邊緣檢測算法

4.8 Image Pyramids 圖像金字塔

4.9 Contours in OpenCV 輪廓檢測

4.10 Histograms in OpenCV 直方圖

4.11 Image Transforms in OpenCV 圖像變換

4.12 Template Matching 模板匹配

4.13 Hough Line Transform 霍夫變換直線檢測

4.14 Hough Circle Transform 霍夫變換圓檢測

4.15 Image Segmentation with Watershed Algorithm 基於分水嶺算法的圖像分割

4.16 Interactive Foreground Extraction using GrabCut Algorithm 使用GrabCut算法進行交互式前景提取

5 Feature Detection and Description 特徵檢測與描述
In this section you will learn about feature detectors and descriptors

5.1 Understanding Features 理解特徵
5.2 Harris Corner Detection Harris 角點檢測
5.3 Shi-Tomasi Corner Detector & Good Features to Track Shi-Tomasi 角點檢測
5.4 Introduction to SIFT (Scale-Invariant Feature Transform) 尺度不變特徵變換
5.5 Introduction to SURF (Speeded-Up Robust Features) 加速穩健特徵
5.6 FAST Algorithm for Corner Detection
5.7 BRIEF (Binary Robust Independent Elementary Features) 二元魯棒獨立初等特徵
5.8 ORB (Oriented FAST and Rotated BRIEF)
5.9 Feature Matching 特徵匹配
5.10 Feature Matching + Homography to find Objects 單應性變換尋找物體

6 Video Analysis 視頻分析
In this section you will learn different techniques to work with videos like object tracking etc.

6.1 Meanshift and Camshift
6.2 Optical Flow 光流
6.3 Background Subtraction 背景減除

7 Camera Calibration and 3D Reconstruction 攝像機標定和三維重建
In this section we will learn about camera calibration, stereo imaging etc.

7.1 Camera Calibration 相機標定
7.2 Pose Estimation 姿態估計
7.3 Epipolar Geometry 對極幾何
7.4 Depth Map from Stereo Images 立體圖像深度圖

8 Machine Learning
In this section you will learn different image processing functions inside OpenCV.

8.1 K-Nearest Neighbour 最近鄰算法
8.2 Support Vector Machines (SVM) 支持向量機
8.3 K-Means Clustering k均值聚類

9 Computational Photography 計算攝影學
In this section you will learn different computational photography techniques like image denoising etc.

9.1 Image Denoising 圖像去噪
9.2 Image Inpainting 圖像修補
9.3 High Dynamic Range (HDR) 高動態範圍圖像

10 Object Detection
In this section you will object detection techniques like face detection etc.

10.1 Face Detection using Haar Cascades

11 OpenCV-Python BindingsIn this section, we will see how OpenCV-Python bindings are generated