1 OpenCV简介

• OpenCV简介-Introduction to OpenCV

  Learn how to setup OpenCV-Python on your computer!
  学习在计算机上安装OpenCV-Python

import cv2
import numpy as np
from matplotlib import pyplot as  plt

2 OpenCV的GUI使用

• OpenCV的GUI使用-Gui Features in OpenCV

  Here you will learn how to display and save images and videos, control mouse events and create trackbar.
  学习如何显示和保存图像和视频，鼠标操作事件响应和创建跟踪条。

# images
cv2.imread()
cv2.imshow()
cv2.imwrite()

# video
cv2.VideoCapture()
cv2.VideoWriter()

# drawing function
cv2.line()
cv2.circle()
cv2.rectangle()
cv2.ellipse()
cv2.putText()

# mouse key event
cv2.setMouseCallback()

# trackbar
cv2.getTrackbarPos()
cv2.createTrackbar()

3 OpenCV的核心操作

• 核心操作-Core Operations

  In this section you will learn basic operations on image like pixel editing, geometric transformations, code optimization, some mathematical tools etc.
  学习基本的图像操作，例如像素编辑、几何变换、代码优化和一些OpenCV的数学工具等等。

# basic operations
cv2.split()
cv2.copyMakeBorder()

# arithmetic operations
cv2.add()
cv2.subtract()
cv2.addWeighted()

# performance
cv2.getTickCount()
cv2.getTickFrequency()

%timeit

4 OpenCV的图像处理

• OpenCV的图像处理-Image Processing in OpenCV

  In this section you will learn different image processing functions inside OpenCV.
  学习OpenCV中不同的图像处理函数

# 改变颜色空间
cv2.cvtColor()
cv2.inRange()

# 图像几何变换
cv2.resize()
cv2.warpAffine()
cv2.getRotationMatrix2D()
cv2.getAffineTransform()
cv2.getPerspectiveTransform()
cv2.warpPerspective()

# 图像门限
cv2.threshold()
cv2.medianBlur()
cv2.adaptiveThreshold()
cv2.THRESH_OTSU
cv2.GaussianBlur()

# 图像滤波
cv2.filter2D()
cv2.blur()
cv2.GaussianBlur()
cv2.medianBlur()
cv2.bilateralFilter()

# 形态学变换
cv2.erode()
cv2.dilate()
cv2.morphologyEx()
cv2.MORPH_OPEN
cv2.MORPH_CLOSE
cv2.MORPH_GRADIENT
cv2.MORPH_TOPHAT
cv2.MORPH_BLACKHAT
cv2.getStructuringElement()
cv2.MORPH_RECT
cv2.MORPH_ELLIPSE
cv2.MORPH_CROSS

# 图像梯度
cv2.Laplancian()
cv2.Sobel() # 1, 0和0,1的区别，分别对应x轴和y轴的sobel变换

# Canny边缘检测
cv2.Canny() # 注意上下门限

# 图像金字塔
cv2.pyrUp()
cv2.pyrDown()

# 轮廓检测
cv2.findContours()
cv2.drawContours()
cv2.moments()
cv2.contourArea()
cv2.arcLength()
cv2.approxPolyDP()
cv2.convexHull()
cv2.isContourConvex()
cv2.boundingRect()
cv2.minAreaRect()
cv2.boxPoints()
cv2.minEnclosingCircle()
cv2.fitEllipse()
cv2.fitLine()
cv2.boundingRect()
cv2.minMaxLoc()
cv2.mean()
cv2.convexityDefects()
cv2.pointPolygonTest()
cv2.matchShapes()
cv2.HuMoments()

# 灰度直方图
cv2.calcHist()
cv2.equalizeHist()
cv2.createCLAHE()
cv2.normalize()
cv2.calcBackProject()

# 傅里叶变换
np.fft.fft2()
np.fft.fftshift()
cv2.dft()
cv2.cartToPolar()
cv2.idft()
cv2.getOptimalDFTSize()
cv2.copyMakeBorder()

# 模板匹配
cv2.matchTemplate()
cv2.minMaxLoc()
cv2.matchTemplate()

# Hough线变换
cv2.HoughLines()
cv2.HoughLinesP()

# Hough圆环变换
cv2.HoughCircles()

#  Watershed算法实现图像分割
cv2.watershed()
cv2.connectedComponents()

# GrabCut算法实现交互前景分割
cv2.grabCut()

5 特征检测和描述

• 特征检测和描述-Feature Detection and Description

  In this section you will learn about feature detectors and descriptors
  学习图像的特征检测和描述

# Harris拐角检测
cv2.cornerHarris()
cv2.cornerSubPix()

# Shi-Tomasi拐角检测和用于跟踪的良好特征
cv2.goodFeaturesToTrack()

# SIFT
cv2.xfeature2d.SIFT_create()
cv2.xfeature2d.SIFT_create().detectAndCompute()
cv2.drawKeyPoints()

# SUFT
cv2.xfeature2d.SUFT_create()
cv2.xfeature2d.SUFT_create().detectAndCompute()
cv2.xfeature2d.SUFT_create().detect()

# FAST算法用于拐角检测
cv2.FastFeatureDetector_create()

# BRIEF
cv2.xfeatures2d.StarDetector_create()
cv2.xfeatures2d.BriefDescriptorExtractor_create()

# ORB
cv.ORB_create()

# 特征匹配
cv2.BFMatcher()
cv2.drawMatches()
cv2.BFMatcher().knnMatch()

# 特征匹配与单应性变化来检测目标
cv2.FlannBasedMatcher()
cv2.findHomography()
cv2.perspectiveTransform()

6 视频分析

• 视频分析-Video Analysis

  In this section you will learn different techniques to work with videos like object tracking etc.
  学习视频处理的不同技术，例如目标跟踪等等。

# meanshift和camshift
cv2.meanShift()
cv2.camShift()

# 光流
cv2.calcOpticalFlowPyrLK()
cv2.cartToPolar()

# 背景消除
cv2.bgsegm.createBackgroundSubtractorMOG()
cv2.bgsegm.createBackgroundSubtractorMOG2()
cv2.bgsegm.createBackgroundSubtractorGMG()

7 摄像头矫正和3D重构

• 摄像头矫正和3D重构-Camera Calibration and 3D Reconstruction

  In this section we will learn about camera calibration, stereo imaging etc.
  学习摄像头矫正和立体图像等等

# 摄像头矫正
cv2.findChessboardCorners()
cv2.cornerSubPix()
cv2.drawChessboardCorners()
cv2.calibrateCamera()
cv2.getOptimalNewCameraMatrix()
cv2.undistort()
cv2.initUndistortRectifyMap()
cv2.remap()
cv2.projectPoints()
cv2.norm()

# 姿态估计
cv2.solvePnPRansac()

# 极对数几何
cv2.FlannBasedMatcher()
cv2.findFundamentalMat()
cv2.computeCorrespondEpilines()

# 从立体图像中得到深度图
cv2.StereoBM_create()

8 机器学习

• 机器学习-Machine Learning

  In this section you will learn different image processing functions inside OpenCV.
  学习OpenCV中不同的机器学习相关的图像处理函数。

# KNN算法
cv2.ml.KNearest_create()
cv2.ml.KNearest_create().train()
cv2.ml.KNearest_create().findNearest()

# SVM算法
svm = cv.ml.SVM_create()
svm.setKernel(cv.ml.SVM_LINEAR)
svm.setType(cv.ml.SVM_C_SVC)
svm.setC(2.67)
svm.setGamma(5.383)
svm.train(trainData, cv.ml.ROW_SAMPLE, responses)
svm.save('svm_data.dat')

# K均值聚类
cv2.kmeans()

9 计算机图像学

• 计算机图像学-Computational Photography

  In this section you will learn different computational photography techniques like image denoising etc.
  学习不同的计算机图像学技术，例如图像去噪等等。

# 图像去噪
cv2.fastNIMeansDenoising()
cv2.fastNIMeansDenoisingColored()
cv2.fastNIMeansDenoisingMulti()
cv2.fastNIMeansDenoisingColoredMulti()

# 图像修复
cv2.inpaint()

# HDR高动态范围图像
cv2.createMergeDebevec()
cv2.createMergeRobertson()
cv2.createTonemap()
cv2.createMergeMertens()
cv2.createCalibrateDebevec()
cv2.createCalibrateRobertson()

10 目标检测

• 目标检测-Object Detection

  In this section you will object detection techniques like face detection etc.
  学习目标检测技术，例如人脸检测等等

# 使用Haar层叠法进行人脸检测
cv2.CascadeClassifier()

11 OpenCV-Python绑定相关

• OpenCV-Python绑定相关-OpenCV-Python Bindings

  In this section, we will see how OpenCV-Python bindings are generated
  本节中，学习如何生成OpenCV-Python绑定。