机器学习开发环境搭建配置（ML+python+pycharm）图文教程
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环境配置
win7+pycharm(pycharm-community-2017.1.3)+python2.7.5
1 安装配置
1.1 下载
1.1.1 Anaconda 4.4.0下载
https://www.continuum.io/downloads
建议下载Python2.7 version
Anaconda是一个用于科学计算的Python发行版，支持 Linux,Mac, Windows系统，提供了包管理与环境管理的功能，可以很方便地解决多版本python并存、切换以及各种第三方包安装问题。Anaconda利用工具/命令conda来进行package和environment的管理，并且已经包含了Python和相关的配套工具。
这里先解释下conda、anaconda这些概念的差别。conda可以理解为一个工具，也是一个可执行命令，其核心功能是包管理与环境管理。包管理与pip的使用类似，环境管理则允许用户方便地安装不同版本的python并可以快速切换。Anaconda则是一个打包的集合，里面预装好了conda、某个版本的python、众多packages、科学计算工具等等，所以也称为Python的一种发行版。
安装说明见
http://python.jobbole.com/86236/
1.1.2 pycharm下载
请选择对应操作系统（windows、linux）、硬件（32位、64位）
https://www.jetbrains.com/pycharm/download/#section=windows
建议下载
https://download.jetbrains.8686c.com/python/pycharm-community-2017.1.3.exe
下载快
http://pan.baidu.com/s/1miibnks
1.1.3 python库下载
可以选择
https://sourceforge.net/projects/scipy/files/scipy/
1.2 安装
1.2.1 Anaconda
1.2.2 pycharm
1.3
1.4 配置
2 python科学计算库介绍
2.1 Python用于科学计算的一些常用工具和库
IPython-增强的交互环境：支持变量自动补全，自动缩进，支持 bash shell 命令，内置了许多很有用的功能和函数
Spyder、Wing IDE或Eclipse/Pydev：集成开发环境
NumPy-数学计算基础库：N维数组、线性代数计算、傅立叶变换、随机数等。
SciPy-数值计算库：线性代数、拟合与优化、插值、数值积分、稀疏矩阵、图像处理、统计等。
SymPy-符号运算
Pandas-数据分析库：数据导入、整理、处理、分析等。
matplotlib-会图库：绘制二维图形和图表
Chaco-交互式图表
OpenCV-计算机视觉库
TVTK-数据的三维可视化
Cython-Python转C的编译器：编写高效运算扩展库的首选工具
BioPython-生物科学
2.2 Python科学计算发行版
Python(x,y)
当前最新版本:2.7.6.1 (05/30/2014)，支持Windows和Python2.7.6。
其库索引列出了所支持的170+Python27库。
WinPython
当前最新版本:2.7.6.4和3.3.5.0 (04/2014)，支持Windows和Python2.7.6、3.3.5。
其库索引列出了所支持的60+Python27库。
其库索引列出了所支持的60+Python33库。
EnthoughtCanopy（EnthoughtPython Distribution）
当前最新版本:1.4.1 (06/11/2014)，支持Linux, Windows, Mac平台和Python2.7.6。
其库索引列出了所支持的150+测试过的Python库。
Anaconda
当前最新版本:2.0.1 (06/12/2014)，支持Linux, Windows, Mac平台和Python 2.6、2.7、3.3、3.4。
其库索引列出了所支持的195+流行Python库。
Sage不是Python发行版，而是一个由Python和Cython实现的开源数学软件系统，将很多已有的（C 、C++、Fortran和Python编写的）数学软件包集成到一个通用接口（记事本文档接口和IPython命令行界面），用户只需了解Python，就可以通过接口或包装器(wrapper)使用NumPy、SciPy、matplotlib、Sympy、Maxima、GAP、 FLINT、R和其他已有软件包（具体信息见组件列表），完成代数、组合数学、计算数学和微积分等计算。其最初的目标是创造一个“Magma、Maple、Mathematica和MATLAB的开源替代品”。当前最新版本:6.3 (08/10/2014)，支持Linux, Windows, Mac平台和Python2.x。
2.3 选择和推荐
Python(x,y)和WinPython都是开源项目，其项目负责人都是Pierre Raybaut。
按Pierre自己的说法是“WinPython不是试图取替Python(x,y)，而是出于不同动机和理念：更灵活、易于维护、可移动、对操作系统侵略性更小，但是用户友好性更差、包更少、没有同Windows资源管理器集成。”。参考1里面说Python(x,y)不是很稳定，此外看它目前的更新不是很频繁，确实有可能Pierre后来的工作重心放在WinPython上了。
Canopy和Anaconda是公司推的，带免费版和商业版/插件。这两款发行版也牵扯到一个人，那就是Travis Oliphant。Travis是SciPy的原始作者，同时也是NumPy的贡献者。Travis在2008年以副总裁身份加入Enthought，2012年以总裁的身份离开，创立了一个新公司continuum.io，并推出了Python的科学计算平台Anaconda。Anaconda相对Canopy支持Python的版本更多，对Python新版本支持跟的很紧（Sage不支持Python3.x的理由是因为其依赖的SciPy还不支持Python3，而Anaconda却实现了支持Python3.3和3.4，这就说明问题了），此外其在Linux平台下（通过conda管理）安装更方便。
不言而喻，我最后选择了安装科学计算发行版Anaconda:)
opencv2.4.13
info.py
import cv2import cv2 as cvprint help(cv2)print help(cv)
cv2
Help on module cv2:NAME cv2FILE c:\programdata\anaconda2\lib\site-packages\cv2.pydSUBMODULES cvCLASSES exceptions.Exception(exceptions.BaseException) error class error(exceptions.Exception) | Method resolution order: | error | exceptions.Exception | exceptions.BaseException | __builtin__.object | | Data descriptors defined here: | | __weakref__ | list of weak references to the object (if defined) | | ---------------------------------------------------------------------- | Methods inherited from exceptions.Exception: | | __init__(...) | x.__init__(...) initializes x; see help(type(x)) for signature | | ---------------------------------------------------------------------- | Data and other attributes inherited from exceptions.Exception: | | __new__ = <built-in method __new__ of type object> | T.__new__(S, ...) -> a new object with type S, a subtype of T | | ---------------------------------------------------------------------- | Methods inherited from exceptions.BaseException: | | __delattr__(...) | x.__delattr__('name') <==> del x.name | | __getattribute__(...) | x.__getattribute__('name') <==> x.name | | __getitem__(...) | x.__getitem__(y) <==> x[y] | | __getslice__(...) | x.__getslice__(i, j) <==> x[i:j] | | Use of negative indices is not supported. | | __reduce__(...) | | __repr__(...) | x.__repr__() <==> repr(x) | | __setattr__(...) | x.__setattr__('name', value) <==> x.name = value | | __setstate__(...) | | __str__(...) | x.__str__() <==> str(x) | | __unicode__(...) | | ---------------------------------------------------------------------- | Data descriptors inherited from exceptions.BaseException: | | __dict__ | | args | | messageFUNCTIONS ANN_MLP(...) ANN_MLP([layerSizes[, activateFunc[, fparam1[, fparam2]]]]) -> <ANN_MLP object> Algorithm__create(...) Algorithm__create(name) -> retval Algorithm_getList(...) Algorithm_getList() -> algorithms BFMatcher(...) BFMatcher([, normType[, crossCheck]]) -> <BFMatcher object> BOWImgDescriptorExtractor(...) BOWImgDescriptorExtractor(dextractor, dmatcher) -> <BOWImgDescriptorExtractor object> BOWKMeansTrainer(...) BOWKMeansTrainer(clusterCount[, termcrit[, attempts[, flags]]]) -> <BOWKMeansTrainer object> BRISK(...) BRISK([, thresh[, octaves[, patternScale]]]) -> <BRISK object> or BRISK(radiusList, numberList[, dMax[, dMin[, indexChange]]]) -> <BRISK object> BackgroundSubtractorMOG(...) BackgroundSubtractorMOG([history, nmixtures, backgroundRatio[, noiseSigma]]) -> <BackgroundSubtractorMOG object> BackgroundSubtractorMOG2(...) BackgroundSubtractorMOG2([history, varThreshold[, bShadowDetection]]) -> <BackgroundSubtractorMOG2 object> Boost(...) Boost([trainData, tflag, responses[, varIdx[, sampleIdx[, varType[, missingDataMask[, params]]]]]]) -> <Boost object> CamShift(...) CamShift(probImage, window, criteria) -> retval, window Canny(...) Canny(image, threshold1, threshold2[, edges[, apertureSize[, L2gradient]]]) -> edges CascadeClassifier(...) CascadeClassifier([filename]) -> <CascadeClassifier object> DMatch(...) DMatch() -> <DMatch object> or DMatch(_queryIdx, _trainIdx, _distance) -> <DMatch object> or DMatch(_queryIdx, _trainIdx, _imgIdx, _distance) -> <DMatch object> DTree(...) DTree() -> <DTree object> DescriptorExtractor_create(...) DescriptorExtractor_create(descriptorExtractorType) -> retval DescriptorMatcher_create(...) DescriptorMatcher_create(descriptorMatcherType) -> retval EM(...) EM([, nclusters[, covMatType[, termCrit]]]) -> <EM object> ERTrees(...) ERTrees() -> <ERTrees object> FastFeatureDetector(...) FastFeatureDetector([, threshold[, nonmaxSuppression]]) -> <FastFeatureDetector object> Feature2D_create(...) Feature2D_create(name) -> retval FeatureDetector_create(...) FeatureDetector_create(detectorType) -> retval FileNode(...) FileNode() -> <FileNode object> FileStorage(...) FileStorage([source, flags[, encoding]]) -> <FileStorage object> FlannBasedMatcher(...) FlannBasedMatcher([, indexParams[, searchParams]]) -> <FlannBasedMatcher object> GBTrees(...) GBTrees([trainData, tflag, responses[, varIdx[, sampleIdx[, varType[, missingDataMask[, params]]]]]]) -> <GBTrees object> GFTTDetector(...) GFTTDetector([, maxCorners[, qualityLevel[, minDistance[, blockSize[, useHarrisDetector[, k]]]]]]) -> <GFTTDetector object> GaussianBlur(...) GaussianBlur(src, ksize, sigmaX[, dst[, sigmaY[, borderType]]]) -> dst GridAdaptedFeatureDetector(...) GridAdaptedFeatureDetector([, detector[, maxTotalKeypoints[, gridRows[, gridCols]]]]) -> <GridAdaptedFeatureDetector object> HOGDescriptor(...) HOGDescriptor() -> <HOGDescriptor object> or HOGDescriptor(_winSize, _blockSize, _blockStride, _cellSize, _nbins[, _derivAperture[, _winSigma[, _histogramNormType[, _L2HysThreshold[, _gammaCorrection[, _nlevels]]]]]]) -> <HOGDescriptor object> or HOGDescriptor(filename) -> <HOGDescriptor object> HOGDescriptor_getDaimlerPeopleDetector(...) HOGDescriptor_getDaimlerPeopleDetector() -> retval HOGDescriptor_getDefaultPeopleDetector(...) HOGDescriptor_getDefaultPeopleDetector() -> retval HoughCircles(...) HoughCircles(image, method, dp, minDist[, circles[, param1[, param2[, minRadius[, maxRadius]]]]]) -> circles HoughLines(...) HoughLines(image, rho, theta, threshold[, lines[, srn[, stn]]]) -> lines HoughLinesP(...) HoughLinesP(image, rho, theta, threshold[, lines[, minLineLength[, maxLineGap]]]) -> lines HuMoments(...) HuMoments(m[, hu]) -> hu KDTree(...) KDTree() -> <KDTree object> or KDTree(points[, copyAndReorderPoints]) -> <KDTree object> or KDTree(points, _labels[, copyAndReorderPoints]) -> <KDTree object> KNearest(...) KNearest([trainData, responses[, sampleIdx[, isRegression[, max_k]]]]) -> <KNearest object> KalmanFilter(...) KalmanFilter([dynamParams, measureParams[, controlParams[, type]]]) -> <KalmanFilter object> KeyPoint(...) KeyPoint([x, y, _size[, _angle[, _response[, _octave[, _class_id]]]]]) -> <KeyPoint object> LUT(...) LUT(src, lut[, dst[, interpolation]]) -> dst Laplacian(...) Laplacian(src, ddepth[, dst[, ksize[, scale[, delta[, borderType]]]]]) -> dst MSER(...) MSER([, _delta[, _min_area[, _max_area[, _max_variation[, _min_diversity[, _max_evolution[, _area_threshold[, _min_margin[, _edge_blur_size]]]]]]]]]) -> <MSER object> Mahalanobis(...) Mahalanobis(v1, v2, icovar) -> retval NormalBayesClassifier(...) NormalBayesClassifier([trainData, responses[, varIdx[, sampleIdx]]]) -> <NormalBayesClassifier object> ORB(...) ORB([, nfeatures[, scaleFactor[, nlevels[, edgeThreshold[, firstLevel[, WTA_K[, scoreType[, patchSize]]]]]]]]) -> <ORB object> PCABackProject(...) PCABackProject(data, mean, eigenvectors[, result]) -> result PCACompute(...) PCACompute(data[, mean[, eigenvectors[, maxComponents]]]) -> mean, eigenvectors PCAComputeVar(...) PCAComputeVar(data, retainedVariance[, mean[, eigenvectors]]) -> mean, eigenvectors PCAProject(...) PCAProject(data, mean, eigenvectors[, result]) -> result PSNR(...) PSNR(src1, src2) -> retval PyramidAdaptedFeatureDetector(...) PyramidAdaptedFeatureDetector(detector[, maxLevel]) -> <PyramidAdaptedFeatureDetector object> RQDecomp3x3(...) RQDecomp3x3(src[, mtxR[, mtxQ[, Qx[, Qy[, Qz]]]]]) -> retval, mtxR, mtxQ, Qx, Qy, Qz RTrees(...) RTrees() -> <RTrees object> Rodrigues(...) Rodrigues(src[, dst[, jacobian]]) -> dst, jacobian SIFT(...) SIFT([, nfeatures[, nOctaveLayers[, contrastThreshold[, edgeThreshold[, sigma]]]]]) -> <SIFT object> SURF(...) SURF([hessianThreshold[, nOctaves[, nOctaveLayers[, extended[, upright]]]]]) -> <SURF object> SVBackSubst(...) SVBackSubst(w, u, vt, rhs[, dst]) -> dst SVDecomp(...) SVDecomp(src[, w[, u[, vt[, flags]]]]) -> w, u, vt SVM(...) SVM([trainData, responses[, varIdx[, sampleIdx[, params]]]]) -> <SVM object> Scharr(...) Scharr(src, ddepth, dx, dy[, dst[, scale[, delta[, borderType]]]]) -> dst SimpleBlobDetector(...) SimpleBlobDetector([, parameters]) -> <SimpleBlobDetector object> SimpleBlobDetector_Params(...) SimpleBlobDetector_Params() -> <SimpleBlobDetector_Params object> Sobel(...) Sobel(src, ddepth, dx, dy[, dst[, ksize[, scale[, delta[, borderType]]]]]) -> dst StarDetector(...) StarDetector([, _maxSize[, _responseThreshold[, _lineThresholdProjected[, _lineThresholdBinarized[, _suppressNonmaxSize]]]]]) -> <StarDetector object> StereoBM(...) StereoBM([preset[, ndisparities[, SADWindowSize]]]) -> <StereoBM object> StereoSGBM(...) StereoSGBM([minDisparity, numDisparities, SADWindowSize[, P1[, P2[, disp12MaxDiff[, preFilterCap[, uniquenessRatio[, speckleWindowSize[, speckleRange[, fullDP]]]]]]]]]) -> <StereoSGBM object> StereoVar(...) StereoVar([levels, pyrScale, nIt, minDisp, maxDisp, poly_n, poly_sigma, fi, lambda, penalization, cycle, flags]) -> <StereoVar object> Subdiv2D(...) Subdiv2D([rect]) -> <Subdiv2D object> VideoCapture(...) VideoCapture() -> <VideoCapture object> or VideoCapture(filename) -> <VideoCapture object> or VideoCapture(device) -> <VideoCapture object> VideoWriter(...) VideoWriter([filename, fourcc, fps, frameSize[, isColor]]) -> <VideoWriter object> absdiff(...) absdiff(src1, src2[, dst]) -> dst accumulate(...) accumulate(src, dst[, mask]) -> None accumulateProduct(...) accumulateProduct(src1, src2, dst[, mask]) -> None accumulateSquare(...) accumulateSquare(src, dst[, mask]) -> None accumulateWeighted(...) accumulateWeighted(src, dst, alpha[, mask]) -> None adaptiveBilateralFilter(...) adaptiveBilateralFilter(src, ksize, sigmaSpace[, dst[, maxSigmaColor[, anchor[, borderType]]]]) -> dst adaptiveThreshold(...) adaptiveThreshold(src, maxValue, adaptiveMethod, thresholdType, blockSize, C[, dst]) -> dst add(...) add(src1, src2[, dst[, mask[, dtype]]]) -> dst addWeighted(...) addWeighted(src1, alpha, src2, beta, gamma[, dst[, dtype]]) -> dst applyColorMap(...) applyColorMap(src, colormap[, dst]) -> dst approxPolyDP(...) approxPolyDP(curve, epsilon, closed[, approxCurve]) -> approxCurve arcLength(...) arcLength(curve, closed) -> retval arrowedLine(...) arrowedLine(img, pt1, pt2, color[, thickness[, line_type[, shift[, tipLength]]]]) -> None batchDistance(...) batchDistance(src1, src2, dtype[, dist[, nidx[, normType[, K[, mask[, update[, crosscheck]]]]]]]) -> dist, nidx bilateralFilter(...) bilateralFilter(src, d, sigmaColor, sigmaSpace[, dst[, borderType]]) -> dst bitwise_and(...) bitwise_and(src1, src2[, dst[, mask]]) -> dst bitwise_not(...) bitwise_not(src[, dst[, mask]]) -> dst bitwise_or(...) bitwise_or(src1, src2[, dst[, mask]]) -> dst bitwise_xor(...) bitwise_xor(src1, src2[, dst[, mask]]) -> dst blur(...) blur(src, ksize[, dst[, anchor[, borderType]]]) -> dst borderInterpolate(...) borderInterpolate(p, len, borderType) -> retval boundingRect(...) boundingRect(points) -> retval boxFilter(...) boxFilter(src, ddepth, ksize[, dst[, anchor[, normalize[, borderType]]]]) -> dst buildOpticalFlowPyramid(...) buildOpticalFlowPyramid(img, winSize, maxLevel[, pyramid[, withDerivatives[, pyrBorder[, derivBorder[, tryReuseInputImage]]]]]) -> retval, pyramid calcBackProject(...) calcBackProject(images, channels, hist, ranges, scale[, dst]) -> dst calcCovarMatrix(...) calcCovarMatrix(samples, flags[, covar[, mean[, ctype]]]) -> covar, mean calcGlobalOrientation(...) calcGlobalOrientation(orientation, mask, mhi, timestamp, duration) -> retval calcHist(...) calcHist(images, channels, mask, histSize, ranges[, hist[, accumulate]]) -> hist calcMotionGradient(...) calcMotionGradient(mhi, delta1, delta2[, mask[, orientation[, apertureSize]]]) -> mask, orientation calcOpticalFlowFarneback(...) calcOpticalFlowFarneback(prev, next, pyr_scale, levels, winsize, iterations, poly_n, poly_sigma, flags[, flow]) -> flow calcOpticalFlowPyrLK(...) calcOpticalFlowPyrLK(prevImg, nextImg, prevPts[, nextPts[, status[, err[, winSize[, maxLevel[, criteria[, flags[, minEigThreshold]]]]]]]]) -> nextPts, status, err calcOpticalFlowSF(...) calcOpticalFlowSF(from, to, flow, layers, averaging_block_size, max_flow) -> None or calcOpticalFlowSF(from, to, flow, layers, averaging_block_size, max_flow, sigma_dist, sigma_color, postprocess_window, sigma_dist_fix, sigma_color_fix, occ_thr, upscale_averaging_radius, upscale_sigma_dist, upscale_sigma_color, speed_up_thr) -> None calibrateCamera(...) calibrateCamera(objectPoints, imagePoints, imageSize[, cameraMatrix[, distCoeffs[, rvecs[, tvecs[, flags[, criteria]]]]]]) -> retval, cameraMatrix, distCoeffs, rvecs, tvecs calibrationMatrixValues(...) calibrationMatrixValues(cameraMatrix, imageSize, apertureWidth, apertureHeight) -> fovx, fovy, focalLength, principalPoint, aspectRatio cartToPolar(...) cartToPolar(x, y[, magnitude[, angle[, angleInDegrees]]]) -> magnitude, angle chamerMatching(...) chamerMatching(img, templ[, templScale[, maxMatches[, minMatchDistance[, padX[, padY[, scales[, minScale[, maxScale[, orientationWeight[, truncate]]]]]]]]]]) -> retval, results, cost checkHardwareSupport(...) checkHardwareSupport(feature) -> retval checkRange(...) checkRange(a[, quiet[, minVal[, maxVal]]]) -> retval, pos circle(...) circle(img, center, radius, color[, thickness[, lineType[, shift]]]) -> None clipLine(...) clipLine(imgRect, pt1, pt2) -> retval, pt1, pt2 compare(...) compare(src1, src2, cmpop[, dst]) -> dst compareHist(...) compareHist(H1, H2, method) -> retval completeSymm(...) completeSymm(mtx[, lowerToUpper]) -> None composeRT(...) composeRT(rvec1, tvec1, rvec2, tvec2[, rvec3[, tvec3[, dr3dr1[, dr3dt1[, dr3dr2[, dr3dt2[, dt3dr1[, dt3dt1[, dt3dr2[, dt3dt2]]]]]]]]]]) -> rvec3, tvec3, dr3dr1, dr3dt1, dr3dr2, dr3dt2, dt3dr1, dt3dt1, dt3dr2, dt3dt2 computeCorrespondEpilines(...) computeCorrespondEpilines(points, whichImage, F[, lines]) -> lines contourArea(...) contourArea(contour[, oriented]) -> retval convertMaps(...) convertMaps(map1, map2, dstmap1type[, dstmap1[, dstmap2[, nninterpolation]]]) -> dstmap1, dstmap2 convertPointsFromHomogeneous(...) convertPointsFromHomogeneous(src[, dst]) -> dst convertPointsToHomogeneous(...) convertPointsToHomogeneous(src[, dst]) -> dst convertScaleAbs(...) convertScaleAbs(src[, dst[, alpha[, beta]]]) -> dst convexHull(...) convexHull(points[, hull[, clockwise[, returnPoints]]]) -> hull convexityDefects(...) convexityDefects(contour, convexhull[, convexityDefects]) -> convexityDefects copyMakeBorder(...) copyMakeBorder(src, top, bottom, left, right, borderType[, dst[, value]]) -> dst cornerEigenValsAndVecs(...) cornerEigenValsAndVecs(src, blockSize, ksize[, dst[, borderType]]) -> dst cornerHarris(...) cornerHarris(src, blockSize, ksize, k[, dst[, borderType]]) -> dst cornerMinEigenVal(...) cornerMinEigenVal(src, blockSize[, dst[, ksize[, borderType]]]) -> dst cornerSubPix(...) cornerSubPix(image, corners, winSize, zeroZone, criteria) -> None correctMatches(...) correctMatches(F, points1, points2[, newPoints1[, newPoints2]]) -> newPoints1, newPoints2 countNonZero(...) countNonZero(src) -> retval createCLAHE(...) createCLAHE([, clipLimit[, tileGridSize]]) -> retval createEigenFaceRecognizer(...) createEigenFaceRecognizer([, num_components[, threshold]]) -> retval createFisherFaceRecognizer(...) createFisherFaceRecognizer([, num_components[, threshold]]) -> retval createHanningWindow(...) createHanningWindow(winSize, type[, dst]) -> dst createLBPHFaceRecognizer(...) createLBPHFaceRecognizer([, radius[, neighbors[, grid_x[, grid_y[, threshold]]]]]) -> retval createTrackbar(...) createTrackbar(trackbarName, windowName, value, count, onChange) -> None cubeRoot(...) cubeRoot(val) -> retval cvtColor(...) cvtColor(src, code[, dst[, dstCn]]) -> dst dct(...) dct(src[, dst[, flags]]) -> dst decomposeProjectionMatrix(...) decomposeProjectionMatrix(projMatrix[, cameraMatrix[, rotMatrix[, transVect[, rotMatrixX[, rotMatrixY[, rotMatrixZ[, eulerAngles]]]]]]]) -> cameraMatrix, rotMatrix, transVect, rotMatrixX, rotMatrixY, rotMatrixZ, eulerAngles destroyAllWindows(...) destroyAllWindows() -> None destroyWindow(...) destroyWindow(winname) -> None determinant(...) determinant(mtx) -> retval dft(...) dft(src[, dst[, flags[, nonzeroRows]]]) -> dst dilate(...) dilate(src, kernel[, dst[, anchor[, iterations[, borderType[, borderValue]]]]]) -> dst distanceTransform(...) distanceTransform(src, distanceType, maskSize[, dst]) -> dst distanceTransformWithLabels(...) distanceTransformWithLabels(src, distanceType, maskSize[, dst[, labels[, labelType]]]) -> dst, labels divide(...) divide(src1, src2[, dst[, scale[, dtype]]]) -> dst or divide(scale, src2[, dst[, dtype]]) -> dst drawChessboardCorners(...) drawChessboardCorners(image, patternSize, corners, patternWasFound) -> None drawContours(...) drawContours(image, contours, contourIdx, color[, thickness[, lineType[, hierarchy[, maxLevel[, offset]]]]]) -> None drawDataMatrixCodes(...) drawDataMatrixCodes(image, codes, corners) -> None drawKeypoints(...) drawKeypoints(image, keypoints[, outImage[, color[, flags]]]) -> outImage drawMarker(...) drawMarker(img, position, color[, markerType[, markerSize[, thickness[, line_type]]]]) -> None eigen(...) eigen(src, computeEigenvectors[, eigenvalues[, eigenvectors]]) -> retval, eigenvalues, eigenvectors ellipse(...) ellipse(img, center, axes, angle, startAngle, endAngle, color[, thickness[, lineType[, shift]]]) -> None or ellipse(img, box, color[, thickness[, lineType]]) -> None ellipse2Poly(...) ellipse2Poly(center, axes, angle, arcStart, arcEnd, delta) -> pts equalizeHist(...) equalizeHist(src[, dst]) -> dst erode(...) erode(src, kernel[, dst[, anchor[, iterations[, borderType[, borderValue]]]]]) -> dst estimateAffine3D(...) estimateAffine3D(src, dst[, out[, inliers[, ransacThreshold[, confidence]]]]) -> retval, out, inliers estimateRigidTransform(...) estimateRigidTransform(src, dst, fullAffine) -> retval exp(...) exp(src[, dst]) -> dst extractChannel(...) extractChannel(src, coi[, dst]) -> dst fastAtan2(...) fastAtan2(y, x) -> retval fastNlMeansDenoising(...) fastNlMeansDenoising(src[, dst[, h[, templateWindowSize[, searchWindowSize]]]]) -> dst fastNlMeansDenoisingColored(...) fastNlMeansDenoisingColored(src[, dst[, h[, hColor[, templateWindowSize[, searchWindowSize]]]]]) -> dst fastNlMeansDenoisingColoredMulti(...) fastNlMeansDenoisingColoredMulti(srcImgs, imgToDenoiseIndex, temporalWindowSize[, dst[, h[, hColor[, templateWindowSize[, searchWindowSize]]]]]) -> dst fastNlMeansDenoisingMulti(...) fastNlMeansDenoisingMulti(srcImgs, imgToDenoiseIndex, temporalWindowSize[, dst[, h[, templateWindowSize[, searchWindowSize]]]]) -> dst fillConvexPoly(...) fillConvexPoly(img, points, color[, lineType[, shift]]) -> None fillPoly(...) fillPoly(img, pts, color[, lineType[, shift[, offset]]]) -> None filter2D(...) filter2D(src, ddepth, kernel[, dst[, anchor[, delta[, borderType]]]]) -> dst filterSpeckles(...) filterSpeckles(img, newVal, maxSpeckleSize, maxDiff[, buf]) -> None findChessboardCorners(...) findChessboardCorners(image, patternSize[, corners[, flags]]) -> retval, corners findCirclesGrid(...) findCirclesGrid(image, patternSize[, centers[, flags[, blobDetector]]]) -> retval, centers findCirclesGridDefault(...) findCirclesGridDefault(image, patternSize[, centers[, flags]]) -> retval, centers findContours(...) findContours(image, mode, method[, contours[, hierarchy[, offset]]]) -> contours, hierarchy findDataMatrix(...) findDataMatrix(image[, corners[, dmtx]]) -> codes, corners, dmtx findFundamentalMat(...) findFundamentalMat(points1, points2[, method[, param1[, param2[, mask]]]]) -> retval, mask findHomography(...) findHomography(srcPoints, dstPoints[, method[, ransacReprojThreshold[, mask]]]) -> retval, mask findNonZero(...) findNonZero(src[, idx]) -> idx fitEllipse(...) fitEllipse(points) -> retval fitLine(...) fitLine(points, distType, param, reps, aeps[, line]) -> line flann_Index(...) flann_Index([features, params[, distType]]) -> <flann_Index object> flip(...) flip(src, flipCode[, dst]) -> dst floodFill(...) floodFill(image, mask, seedPoint, newVal[, loDiff[, upDiff[, flags]]]) -> retval, rect gemm(...) gemm(src1, src2, alpha, src3, beta[, dst[, flags]]) -> dst getAffineTransform(...) getAffineTransform(src, dst) -> retval getBuildInformation(...) getBuildInformation() -> retval getCPUTickCount(...) getCPUTickCount() -> retval getDefaultNewCameraMatrix(...) getDefaultNewCameraMatrix(cameraMatrix[, imgsize[, centerPrincipalPoint]]) -> retval getDerivKernels(...) getDerivKernels(dx, dy, ksize[, kx[, ky[, normalize[, ktype]]]]) -> kx, ky getGaborKernel(...) getGaborKernel(ksize, sigma, theta, lambd, gamma[, psi[, ktype]]) -> retval getGaussianKernel(...) getGaussianKernel(ksize, sigma[, ktype]) -> retval getNumThreads(...) getNumThreads() -> retval getNumberOfCPUs(...) getNumberOfCPUs() -> retval getOptimalDFTSize(...) getOptimalDFTSize(vecsize) -> retval getOptimalNewCameraMatrix(...) getOptimalNewCameraMatrix(cameraMatrix, distCoeffs, imageSize, alpha[, newImgSize[, centerPrincipalPoint]]) -> retval, validPixROI getPerspectiveTransform(...) getPerspectiveTransform(src, dst) -> retval getRectSubPix(...) getRectSubPix(image, patchSize, center[, patch[, patchType]]) -> patch getRotationMatrix2D(...) getRotationMatrix2D(center, angle, scale) -> retval getStructuringElement(...) getStructuringElement(shape, ksize[, anchor]) -> retval getTextSize(...) getTextSize(text, fontFace, fontScale, thickness) -> retval, baseLine getThreadNum(...) getThreadNum() -> retval getTickCount(...) getTickCount() -> retval getTickFrequency(...) getTickFrequency() -> retval getTrackbarPos(...) getTrackbarPos(trackbarname, winname) -> retval getValidDisparityROI(...) getValidDisparityROI(roi1, roi2, minDisparity, numberOfDisparities, SADWindowSize) -> retval getWindowProperty(...) getWindowProperty(winname, prop_id) -> retval goodFeaturesToTrack(...) goodFeaturesToTrack(image, maxCorners, qualityLevel, minDistance[, corners[, mask[, blockSize[, useHarrisDetector[, k]]]]]) -> corners grabCut(...) grabCut(img, mask, rect, bgdModel, fgdModel, iterCount[, mode]) -> None groupRectangles(...) groupRectangles(rectList, groupThreshold[, eps]) -> rectList, weights hconcat(...) hconcat(src[, dst]) -> dst idct(...) idct(src[, dst[, flags]]) -> dst idft(...) idft(src[, dst[, flags[, nonzeroRows]]]) -> dst imdecode(...) imdecode(buf, flags) -> retval imencode(...) imencode(ext, img[, params]) -> retval, buf imread(...) imread(filename[, flags]) -> retval imshow(...) imshow(winname, mat) -> None imwrite(...) imwrite(filename, img[, params]) -> retval inRange(...) inRange(src, lowerb, upperb[, dst]) -> dst initCameraMatrix2D(...) initCameraMatrix2D(objectPoints, imagePoints, imageSize[, aspectRatio]) -> retval initModule_nonfree(...) initModule_nonfree() -> retval initUndistortRectifyMap(...) initUndistortRectifyMap(cameraMatrix, distCoeffs, R, newCameraMatrix, size, m1type[, map1[, map2]]) -> map1, map2 initWideAngleProjMap(...) initWideAngleProjMap(cameraMatrix, distCoeffs, imageSize, destImageWidth, m1type[, map1[, map2[, projType[, alpha]]]]) -> retval, map1, map2 inpaint(...) inpaint(src, inpaintMask, inpaintRadius, flags[, dst]) -> dst insertChannel(...) insertChannel(src, dst, coi) -> None integral(...) integral(src[, sum[, sdepth]]) -> sum integral2(...) integral2(src[, sum[, sqsum[, sdepth]]]) -> sum, sqsum integral3(...) integral3(src[, sum[, sqsum[, tilted[, sdepth]]]]) -> sum, sqsum, tilted intersectConvexConvex(...) intersectConvexConvex(_p1, _p2[, _p12[, handleNested]]) -> retval, _p12 invert(...) invert(src[, dst[, flags]]) -> retval, dst invertAffineTransform(...) invertAffineTransform(M[, iM]) -> iM isContourConvex(...) isContourConvex(contour) -> retval kmeans(...) kmeans(data, K, criteria, attempts, flags[, bestLabels[, centers]]) -> retval, bestLabels, centers line(...) line(img, pt1, pt2, color[, thickness[, lineType[, shift]]]) -> None log(...) log(src[, dst]) -> dst magnitude(...) magnitude(x, y[, magnitude]) -> magnitude matMulDeriv(...) matMulDeriv(A, B[, dABdA[, dABdB]]) -> dABdA, dABdB matchShapes(...) matchShapes(contour1, contour2, method, parameter) -> retval matchTemplate(...) matchTemplate(image, templ, method[, result]) -> result max(...) max(src1, src2[, dst]) -> dst mean(...) mean(src[, mask]) -> retval meanShift(...) meanShift(probImage, window, criteria) -> retval, window meanStdDev(...) meanStdDev(src[, mean[, stddev[, mask]]]) -> mean, stddev medianBlur(...) medianBlur(src, ksize[, dst]) -> dst merge(...) merge(mv[, dst]) -> dst min(...) min(src1, src2[, dst]) -> dst minAreaRect(...) minAreaRect(points) -> retval minEnclosingCircle(...) minEnclosingCircle(points) -> center, radius minMaxLoc(...) minMaxLoc(src[, mask]) -> minVal, maxVal, minLoc, maxLoc mixChannels(...) mixChannels(src, dst, fromTo) -> None moments(...) moments(array[, binaryImage]) -> retval morphologyEx(...) morphologyEx(src, op, kernel[, dst[, anchor[, iterations[, borderType[, borderValue]]]]]) -> dst moveWindow(...) moveWindow(winname, x, y) -> None mulSpectrums(...) mulSpectrums(a, b, flags[, c[, conjB]]) -> c mulTransposed(...) mulTransposed(src, aTa[, dst[, delta[, scale[, dtype]]]]) -> dst multiply(...) multiply(src1, src2[, dst[, scale[, dtype]]]) -> dst namedWindow(...) namedWindow(winname[, flags]) -> None norm(...) norm(src1[, normType[, mask]]) -> retval or norm(src1, src2[, normType[, mask]]) -> retval normalize(...) normalize(src[, dst[, alpha[, beta[, norm_type[, dtype[, mask]]]]]]) -> dst patchNaNs(...) patchNaNs(a[, val]) -> None perspectiveTransform(...) perspectiveTransform(src, m[, dst]) -> dst phase(...) phase(x, y[, angle[, angleInDegrees]]) -> angle phaseCorrelate(...) phaseCorrelate(src1, src2[, window]) -> retval phaseCorrelateRes(...) phaseCorrelateRes(src1, src2, window) -> retval, response pointPolygonTest(...) pointPolygonTest(contour, pt, measureDist) -> retval polarToCart(...) polarToCart(magnitude, angle[, x[, y[, angleInDegrees]]]) -> x, y polylines(...) polylines(img, pts, isClosed, color[, thickness[, lineType[, shift]]]) -> None pow(...) pow(src, power[, dst]) -> dst preCornerDetect(...) preCornerDetect(src, ksize[, dst[, borderType]]) -> dst projectPoints(...) projectPoints(objectPoints, rvec, tvec, cameraMatrix, distCoeffs[, imagePoints[, jacobian[, aspectRatio]]]) -> imagePoints, jacobian putText(...) putText(img, text, org, fontFace, fontScale, color[, thickness[, lineType[, bottomLeftOrigin]]]) -> None pyrDown(...) pyrDown(src[, dst[, dstsize[, borderType]]]) -> dst pyrMeanShiftFiltering(...) pyrMeanShiftFiltering(src, sp, sr[, dst[, maxLevel[, termcrit]]]) -> dst pyrUp(...) pyrUp(src[, dst[, dstsize[, borderType]]]) -> dst randShuffle(...) randShuffle(dst[, iterFactor]) -> None randn(...) randn(dst, mean, stddev) -> None randu(...) randu(dst, low, high) -> None rectangle(...) rectangle(img, pt1, pt2, color[, thickness[, lineType[, shift]]]) -> None rectify3Collinear(...) rectify3Collinear(cameraMatrix1, distCoeffs1, cameraMatrix2, distCoeffs2, cameraMatrix3, distCoeffs3, imgpt1, imgpt3, imageSize, R12, T12, R13, T13, alpha, newImgSize, flags[, R1[, R2[, R3[, P1[, P2[, P3[, Q]]]]]]]) -> retval, R1, R2, R3, P1, P2, P3, Q, roi1, roi2 reduce(...) reduce(src, dim, rtype[, dst[, dtype]]) -> dst remap(...) remap(src, map1, map2, interpolation[, dst[, borderMode[, borderValue]]]) -> dst repeat(...) repeat(src, ny, nx[, dst]) -> dst reprojectImageTo3D(...) reprojectImageTo3D(disparity, Q[, _3dImage[, handleMissingValues[, ddepth]]]) -> _3dImage resize(...) resize(src, dsize[, dst[, fx[, fy[, interpolation]]]]) -> dst resizeWindow(...) resizeWindow(winname, width, height) -> None scaleAdd(...) scaleAdd(src1, alpha, src2[, dst]) -> dst segmentMotion(...) segmentMotion(mhi, timestamp, segThresh[, segmask]) -> segmask, boundingRects sepFilter2D(...) sepFilter2D(src, ddepth, kernelX, kernelY[, dst[, anchor[, delta[, borderType]]]]) -> dst setIdentity(...) setIdentity(mtx[, s]) -> None setMouseCallback(...) setMouseCallback(windowName, onMouse [, param]) -> None setNumThreads(...) setNumThreads(nthreads) -> None setRNGSeed(...) setRNGSeed(seed) -> None setTrackbarPos(...) setTrackbarPos(trackbarname, winname, pos) -> None setUseOptimized(...) setUseOptimized(onoff) -> None setWindowProperty(...) setWindowProperty(winname, prop_id, prop_value) -> None solve(...) solve(src1, src2[, dst[, flags]]) -> retval, dst solveCubic(...) solveCubic(coeffs[, roots]) -> retval, roots solvePnP(...) solvePnP(objectPoints, imagePoints, cameraMatrix, distCoeffs[, rvec[, tvec[, useExtrinsicGuess[, flags]]]]) -> retval, rvec, tvec solvePnPRansac(...) solvePnPRansac(objectPoints, imagePoints, cameraMatrix, distCoeffs[, rvec[, tvec[, useExtrinsicGuess[, iterationsCount[, reprojectionError[, minInliersCount[, inliers[, flags]]]]]]]]) -> rvec, tvec, inliers solvePoly(...) solvePoly(coeffs[, roots[, maxIters]]) -> retval, roots sort(...) sort(src, flags[, dst]) -> dst sortIdx(...) sortIdx(src, flags[, dst]) -> dst split(...) split(m[, mv]) -> mv sqrt(...) sqrt(src[, dst]) -> dst startWindowThread(...) startWindowThread() -> retval stereoCalibrate(...) stereoCalibrate(objectPoints, imagePoints1, imagePoints2, imageSize[, cameraMatrix1[, distCoeffs1[, cameraMatrix2[, distCoeffs2[, R[, T[, E[, F[, criteria[, flags]]]]]]]]]]) -> retval, cameraMatrix1, distCoeffs1, cameraMatrix2, distCoeffs2, R, T, E, F stereoRectify(...) stereoRectify(cameraMatrix1, distCoeffs1, cameraMatrix2, distCoeffs2, imageSize, R, T[, R1[, R2[, P1[, P2[, Q[, flags[, alpha[, newImageSize]]]]]]]]) -> R1, R2, P1, P2, Q, validPixROI1, validPixROI2 stereoRectifyUncalibrated(...) stereoRectifyUncalibrated(points1, points2, F, imgSize[, H1[, H2[, threshold]]]) -> retval, H1, H2 subtract(...) subtract(src1, src2[, dst[, mask[, dtype]]]) -> dst sumElems(...) sumElems(src) -> retval threshold(...) threshold(src, thresh, maxval, type[, dst]) -> retval, dst trace(...) trace(mtx) -> retval transform(...) transform(src, m[, dst]) -> dst transpose(...) transpose(src[, dst]) -> dst triangulatePoints(...) triangulatePoints(projMatr1, projMatr2, projPoints1, projPoints2[, points4D]) -> points4D undistort(...) undistort(src, cameraMatrix, distCoeffs[, dst[, newCameraMatrix]]) -> dst undistortPoints(...) undistortPoints(src, cameraMatrix, distCoeffs[, dst[, R[, P]]]) -> dst updateMotionHistory(...) updateMotionHistory(silhouette, mhi, timestamp, duration) -> None useOptimized(...) useOptimized() -> retval validateDisparity(...) validateDisparity(disparity, cost, minDisparity, numberOfDisparities[, disp12MaxDisp]) -> None vconcat(...) vconcat(src[, dst]) -> dst waitKey(...) waitKey([, delay]) -> retval warpAffine(...) warpAffine(src, M, dsize[, dst[, flags[, borderMode[, borderValue]]]]) -> dst warpPerspective(...) warpPerspective(src, M, dsize[, dst[, flags[, borderMode[, borderValue]]]]) -> dst watershed(...) watershed(image, markers) -> NoneDATA ADAPTIVE_SKIN_DETECTOR_MORPHING_METHOD_ERODE = 1L ADAPTIVE_SKIN_DETECTOR_MORPHING_METHOD_ERODE_DILATE = 3L ADAPTIVE_SKIN_DETECTOR_MORPHING_METHOD_ERODE_ERODE = 2L ADAPTIVE_SKIN_DETECTOR_MORPHING_METHOD_NONE = 0L ADAPTIVE_THRESH_GAUSSIAN_C = 1L ADAPTIVE_THRESH_MEAN_C = 0L ANN_MLP_GAUSSIAN = 2L ANN_MLP_IDENTITY = 0L ANN_MLP_NO_INPUT_SCALE = 2L ANN_MLP_NO_OUTPUT_SCALE = 4L ANN_MLP_SIGMOID_SYM = 1L ANN_MLP_TRAIN_PARAMS_BACKPROP = 0L ANN_MLP_TRAIN_PARAMS_RPROP = 1L ANN_MLP_UPDATE_WEIGHTS = 1L BOOST_DEFAULT = 0L BOOST_DISCRETE = 0L BOOST_GENTLE = 3L BOOST_GINI = 1L BOOST_LOGIT = 2L BOOST_MISCLASS = 3L BOOST_REAL = 1L BOOST_SQERR = 4L BORDER_CONSTANT = 0L BORDER_DEFAULT = 4L BORDER_ISOLATED = 16L BORDER_REFLECT = 2L BORDER_REFLECT101 = 4L BORDER_REFLECT_101 = 4L BORDER_REPLICATE = 1L BORDER_TRANSPARENT = 5L BORDER_WRAP = 3L CALIB_CB_ADAPTIVE_THRESH = 1L CALIB_CB_ASYMMETRIC_GRID = 2L CALIB_CB_CLUSTERING = 4L CALIB_CB_FAST_CHECK = 8L CALIB_CB_FILTER_QUADS = 4L CALIB_CB_NORMALIZE_IMAGE = 2L CALIB_CB_SYMMETRIC_GRID = 1L CALIB_FIX_ASPECT_RATIO = 2L CALIB_FIX_FOCAL_LENGTH = 16L CALIB_FIX_INTRINSIC = 256L CALIB_FIX_K1 = 32L CALIB_FIX_K2 = 64L CALIB_FIX_K3 = 128L CALIB_FIX_K4 = 2048L CALIB_FIX_K5 = 4096L CALIB_FIX_K6 = 8192L CALIB_FIX_PRINCIPAL_POINT = 4L CALIB_RATIONAL_MODEL = 16384L CALIB_SAME_FOCAL_LENGTH = 512L CALIB_USE_INTRINSIC_GUESS = 1L CALIB_ZERO_DISPARITY = 1024L CALIB_ZERO_TANGENT_DIST = 8L CASCADE_DO_CANNY_PRUNING = 1L CASCADE_DO_ROUGH_SEARCH = 8L CASCADE_FIND_BIGGEST_OBJECT = 4L CASCADE_SCALE_IMAGE = 2L CHAIN_APPROX_NONE = 1L CHAIN_APPROX_SIMPLE = 2L CHAIN_APPROX_TC89_KCOS = 4L CHAIN_APPROX_TC89_L1 = 3L CMP_EQ = 0L CMP_GE = 2L CMP_GT = 1L CMP_LE = 4L CMP_LT = 3L CMP_NE = 5L COLORMAP_AUTUMN = 0L COLORMAP_BONE = 1L COLORMAP_COOL = 8L COLORMAP_HOT = 11L COLORMAP_HSV = 9L COLORMAP_JET = 2L COLORMAP_OCEAN = 5L COLORMAP_PINK = 10L COLORMAP_RAINBOW = 4L COLORMAP_SPRING = 7L COLORMAP_SUMMER = 6L COLORMAP_WINTER = 3L COLOR_BAYER_BG2BGR = 46L COLOR_BAYER_BG2BGR_VNG = 62L COLOR_BAYER_BG2GRAY = 86L COLOR_BAYER_BG2RGB = 48L COLOR_BAYER_BG2RGB_VNG = 64L COLOR_BAYER_GB2BGR = 47L COLOR_BAYER_GB2BGR_VNG = 63L COLOR_BAYER_GB2GRAY = 87L COLOR_BAYER_GB2RGB = 49L COLOR_BAYER_GB2RGB_VNG = 65L COLOR_BAYER_GR2BGR = 49L COLOR_BAYER_GR2BGR_VNG = 65L COLOR_BAYER_GR2GRAY = 89L COLOR_BAYER_GR2RGB = 47L COLOR_BAYER_GR2RGB_VNG = 63L COLOR_BAYER_RG2BGR = 48L COLOR_BAYER_RG2BGR_VNG = 64L COLOR_BAYER_RG2GRAY = 88L COLOR_BAYER_RG2RGB = 46L COLOR_BAYER_RG2RGB_VNG = 62L COLOR_BGR2BGR555 = 22L COLOR_BGR2BGR565 = 12L COLOR_BGR2BGRA = 0L COLOR_BGR2GRAY = 6L COLOR_BGR2HLS = 52L COLOR_BGR2HLS_FULL = 68L COLOR_BGR2HSV = 40L COLOR_BGR2HSV_FULL = 66L COLOR_BGR2LAB = 44L COLOR_BGR2LUV = 50L COLOR_BGR2RGB = 4L COLOR_BGR2RGBA = 2L COLOR_BGR2XYZ = 32L COLOR_BGR2YCR_CB = 36L COLOR_BGR2YUV = 82L COLOR_BGR2YUV_I420 = 128L COLOR_BGR2YUV_IYUV = 128L COLOR_BGR2YUV_YV12 = 132L COLOR_BGR5552BGR = 24L COLOR_BGR5552BGRA = 28L COLOR_BGR5552GRAY = 31L COLOR_BGR5552RGB = 25L COLOR_BGR5552RGBA = 29L COLOR_BGR5652BGR = 14L COLOR_BGR5652BGRA = 18L COLOR_BGR5652GRAY = 21L COLOR_BGR5652RGB = 15L COLOR_BGR5652RGBA = 19L COLOR_BGRA2BGR = 1L COLOR_BGRA2BGR555 = 26L COLOR_BGRA2BGR565 = 16L COLOR_BGRA2GRAY = 10L COLOR_BGRA2RGB = 3L COLOR_BGRA2RGBA = 5L COLOR_BGRA2YUV_I420 = 130L COLOR_BGRA2YUV_IYUV = 130L COLOR_BGRA2YUV_YV12 = 134L COLOR_COLORCVT_MAX = 135L COLOR_GRAY2BGR = 8L COLOR_GRAY2BGR555 = 30L COLOR_GRAY2BGR565 = 20L COLOR_GRAY2BGRA = 9L COLOR_GRAY2RGB = 8L COLOR_GRAY2RGBA = 9L COLOR_HLS2BGR = 60L COLOR_HLS2BGR_FULL = 72L COLOR_HLS2RGB = 61L COLOR_HLS2RGB_FULL = 73L COLOR_HSV2BGR = 54L COLOR_HSV2BGR_FULL = 70L COLOR_HSV2RGB = 55L COLOR_HSV2RGB_FULL = 71L COLOR_LAB2BGR = 56L COLOR_LAB2LBGR = 78L COLOR_LAB2LRGB = 79L COLOR_LAB2RGB = 57L COLOR_LBGR2LAB = 74L COLOR_LBGR2LUV = 76L COLOR_LRGB2LAB = 75L COLOR_LRGB2LUV = 77L COLOR_LUV2BGR = 58L COLOR_LUV2LBGR = 80L COLOR_LUV2LRGB = 81L COLOR_LUV2RGB = 59L COLOR_M_RGBA2RGBA = 126L COLOR_RGB2BGR = 4L COLOR_RGB2BGR555 = 23L COLOR_RGB2BGR565 = 13L COLOR_RGB2BGRA = 2L COLOR_RGB2GRAY = 7L COLOR_RGB2HLS = 53L COLOR_RGB2HLS_FULL = 69L COLOR_RGB2HSV = 41L COLOR_RGB2HSV_FULL = 67L COLOR_RGB2LAB = 45L COLOR_RGB2LUV = 51L COLOR_RGB2RGBA = 0L COLOR_RGB2XYZ = 33L COLOR_RGB2YCR_CB = 37L COLOR_RGB2YUV = 83L COLOR_RGB2YUV_I420 = 127L COLOR_RGB2YUV_IYUV = 127L COLOR_RGB2YUV_YV12 = 131L COLOR_RGBA2BGR = 3L COLOR_RGBA2BGR555 = 27L COLOR_RGBA2BGR565 = 17L COLOR_RGBA2BGRA = 5L COLOR_RGBA2GRAY = 11L COLOR_RGBA2M_RGBA = 125L COLOR_RGBA2RGB = 1L COLOR_RGBA2YUV_I420 = 129L COLOR_RGBA2YUV_IYUV = 129L COLOR_RGBA2YUV_YV12 = 133L COLOR_XYZ2BGR = 34L COLOR_XYZ2RGB = 35L COLOR_YCR_CB2BGR = 38L COLOR_YCR_CB2RGB = 39L COLOR_YUV2BGR = 84L COLOR_YUV2BGRA_I420 = 105L COLOR_YUV2BGRA_IYUV = 105L COLOR_YUV2BGRA_NV12 = 95L COLOR_YUV2BGRA_NV21 = 97L COLOR_YUV2BGRA_UYNV = 112L COLOR_YUV2BGRA_UYVY = 112L COLOR_YUV2BGRA_Y422 = 112L COLOR_YUV2BGRA_YUNV = 120L COLOR_YUV2BGRA_YUY2 = 120L COLOR_YUV2BGRA_YUYV = 120L COLOR_YUV2BGRA_YV12 = 103L COLOR_YUV2BGRA_YVYU = 122L COLOR_YUV2BGR_I420 = 101L COLOR_YUV2BGR_IYUV = 101L COLOR_YUV2BGR_NV12 = 91L COLOR_YUV2BGR_NV21 = 93L COLOR_YUV2BGR_UYNV = 108L COLOR_YUV2BGR_UYVY = 108L COLOR_YUV2BGR_Y422 = 108L COLOR_YUV2BGR_YUNV = 116L COLOR_YUV2BGR_YUY2 = 116L COLOR_YUV2BGR_YUYV = 116L COLOR_YUV2BGR_YV12 = 99L COLOR_YUV2BGR_YVYU = 118L COLOR_YUV2GRAY_420 = 106L COLOR_YUV2GRAY_I420 = 106L COLOR_YUV2GRAY_IYUV = 106L COLOR_YUV2GRAY_NV12 = 106L COLOR_YUV2GRAY_NV21 = 106L COLOR_YUV2GRAY_UYNV = 123L COLOR_YUV2GRAY_UYVY = 123L COLOR_YUV2GRAY_Y422 = 123L COLOR_YUV2GRAY_YUNV = 124L COLOR_YUV2GRAY_YUY2 = 124L COLOR_YUV2GRAY_YUYV = 124L COLOR_YUV2GRAY_YV12 = 106L COLOR_YUV2GRAY_YVYU = 124L COLOR_YUV2RGB = 85L COLOR_YUV2RGBA_I420 = 104L COLOR_YUV2RGBA_IYUV = 104L COLOR_YUV2RGBA_NV12 = 94L COLOR_YUV2RGBA_NV21 = 96L COLOR_YUV2RGBA_UYNV = 111L COLOR_YUV2RGBA_UYVY = 111L COLOR_YUV2RGBA_Y422 = 111L COLOR_YUV2RGBA_YUNV = 119L COLOR_YUV2RGBA_YUY2 = 119L COLOR_YUV2RGBA_YUYV = 119L COLOR_YUV2RGBA_YV12 = 102L COLOR_YUV2RGBA_YVYU = 121L COLOR_YUV2RGB_I420 = 100L COLOR_YUV2RGB_IYUV = 100L COLOR_YUV2RGB_NV12 = 90L COLOR_YUV2RGB_NV21 = 92L COLOR_YUV2RGB_UYNV = 107L COLOR_YUV2RGB_UYVY = 107L COLOR_YUV2RGB_Y422 = 107L COLOR_YUV2RGB_YUNV = 115L COLOR_YUV2RGB_YUY2 = 115L COLOR_YUV2RGB_YUYV = 115L COLOR_YUV2RGB_YV12 = 98L COLOR_YUV2RGB_YVYU = 117L COLOR_YUV420P2BGR = 99L COLOR_YUV420P2BGRA = 103L COLOR_YUV420P2GRAY = 106L COLOR_YUV420P2RGB = 98L COLOR_YUV420P2RGBA = 102L COLOR_YUV420SP2BGR = 93L COLOR_YUV420SP2BGRA = 97L COLOR_YUV420SP2GRAY = 106L COLOR_YUV420SP2RGB = 92L COLOR_YUV420SP2RGBA = 96L COVAR_COLS = 16L COVAR_NORMAL = 1L COVAR_ROWS = 8L COVAR_SCALE = 4L COVAR_SCRAMBLED = 0L COVAR_USE_AVG = 2L CV_16S = 3 CV_16SC1 = 3 CV_16SC2 = 11 CV_16SC3 = 19 CV_16SC4 = 27 CV_16U = 2 CV_16UC1 = 2 CV_16UC2 = 10 CV_16UC3 = 18 CV_16UC4 = 26 CV_32F = 5 CV_32FC1 = 5 CV_32FC2 = 13 CV_32FC3 = 21 CV_32FC4 = 29 CV_32S = 4 CV_32SC1 = 4 CV_32SC2 = 12 CV_32SC3 = 20 CV_32SC4 = 28 CV_64F = 6 CV_64FC1 = 6 CV_64FC2 = 14 CV_64FC3 = 22 CV_64FC4 = 30 CV_8S = 1 CV_8SC1 = 1 CV_8SC2 = 9 CV_8SC3 = 17 CV_8SC4 = 25 CV_8U = 0 CV_8UC1 = 0 CV_8UC2 = 8 CV_8UC3 = 16 CV_8UC4 = 24 CV_AA = 16 CV_EPNP = 1L CV_HIST_ARRAY = 0 CV_HIST_SPARSE = 1 CV_ITERATIVE = 0L CV_LOAD_IMAGE_COLOR = 1 CV_LOAD_IMAGE_GRAYSCALE = 0 CV_LOAD_IMAGE_UNCHANGED = -1 CV_NEXT_AROUND_DST = 34 CV_NEXT_AROUND_LEFT = 19 CV_NEXT_AROUND_ORG = 0 CV_NEXT_AROUND_RIGHT = 49 CV_P3P = 2L CV_PREV_AROUND_DST = 51 CV_PREV_AROUND_LEFT = 32 CV_PREV_AROUND_ORG = 17 CV_PREV_AROUND_RIGHT = 2 CV_PTLOC_INSIDE = 0 CV_PTLOC_ON_EDGE = 2 CV_PTLOC_OUTSIDE_RECT = -1 CV_PTLOC_VERTEX = 1 CV_ROW_SAMPLE = 1 CV_VAR_CATEGORICAL = 1 CV_VAR_NUMERICAL = 0 CV_VAR_ORDERED = 0 CV_WINDOW_AUTOSIZE = 1 DCT_INVERSE = 1L DCT_ROWS = 4L DECOMP_CHOLESKY = 3L DECOMP_EIG = 2L DECOMP_LU = 0L DECOMP_NORMAL = 16L DECOMP_QR = 4L DECOMP_SVD = 1L DEPTH_MASK = 7L DEPTH_MASK_16S = 8L DEPTH_MASK_16U = 4L DEPTH_MASK_32F = 32L DEPTH_MASK_32S = 16L DEPTH_MASK_64F = 64L DEPTH_MASK_8S = 2L DEPTH_MASK_8U = 1L DEPTH_MASK_ALL = 127L DEPTH_MASK_ALL_BUT_8S = 125L DEPTH_MASK_FLT = 96L DFT_COMPLEX_OUTPUT = 16L DFT_INVERSE = 1L DFT_REAL_OUTPUT = 32L DFT_ROWS = 4L DFT_SCALE = 2L DIST_LABEL_CCOMP = 0L DIST_LABEL_PIXEL = 1L DRAW_MATCHES_FLAGS_DEFAULT = 0L DRAW_MATCHES_FLAGS_DRAW_OVER_OUTIMG = 1L DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS = 4L DRAW_MATCHES_FLAGS_NOT_DRAW_SINGLE_POINTS = 2L EM_COV_MAT_DEFAULT = 1L EM_COV_MAT_DIAGONAL = 1L EM_COV_MAT_GENERIC = 2L EM_COV_MAT_SPHERICAL = 0L EM_DEFAULT_MAX_ITERS = 100L EM_DEFAULT_NCLUSTERS = 5L EM_START_AUTO_STEP = 0L EM_START_E_STEP = 1L EM_START_M_STEP = 2L EPNP = 1L EVENT_FLAG_ALTKEY = 32L EVENT_FLAG_CTRLKEY = 8L EVENT_FLAG_LBUTTON = 1L EVENT_FLAG_MBUTTON = 4L EVENT_FLAG_RBUTTON = 2L EVENT_FLAG_SHIFTKEY = 16L EVENT_LBUTTONDBLCLK = 7L EVENT_LBUTTONDOWN = 1L EVENT_LBUTTONUP = 4L EVENT_MBUTTONDBLCLK = 9L EVENT_MBUTTONDOWN = 3L EVENT_MBUTTONUP = 6L EVENT_MOUSEMOVE = 0L EVENT_RBUTTONDBLCLK = 8L EVENT_RBUTTONDOWN = 2L EVENT_RBUTTONUP = 5L FAST_FEATURE_DETECTOR_TYPE_5_8 = 0L FAST_FEATURE_DETECTOR_TYPE_7_12 = 1L FAST_FEATURE_DETECTOR_TYPE_9_16 = 2L FEATURE_EVALUATOR_HAAR = 0L FEATURE_EVALUATOR_HOG = 2L FEATURE_EVALUATOR_LBP = 1L FILE_NODE_EMPTY = 32L FILE_NODE_FLOAT = 2L FILE_NODE_FLOW = 8L FILE_NODE_INT = 1L FILE_NODE_MAP = 6L FILE_NODE_NAMED = 64L FILE_NODE_NONE = 0L FILE_NODE_REAL = 2L FILE_NODE_REF = 4L FILE_NODE_SEQ = 5L FILE_NODE_STR = 3L FILE_NODE_STRING = 3L FILE_NODE_TYPE_MASK = 7L FILE_NODE_USER = 16L FILE_STORAGE_APPEND = 2L FILE_STORAGE_FORMAT_AUTO = 0L FILE_STORAGE_FORMAT_MASK = 56L FILE_STORAGE_FORMAT_XML = 8L FILE_STORAGE_FORMAT_YAML = 16L FILE_STORAGE_INSIDE_MAP = 4L FILE_STORAGE_MEMORY = 4L FILE_STORAGE_NAME_EXPECTED = 2L FILE_STORAGE_READ = 0L FILE_STORAGE_UNDEFINED = 0L FILE_STORAGE_VALUE_EXPECTED = 1L FILE_STORAGE_WRITE = 1L FISHEYE_CALIB_CHECK_COND = 4L FISHEYE_CALIB_FIX_INTRINSIC = 256L FISHEYE_CALIB_FIX_K1 = 16L FISHEYE_CALIB_FIX_K2 = 32L FISHEYE_CALIB_FIX_K3 = 64L FISHEYE_CALIB_FIX_K4 = 128L FISHEYE_CALIB_FIX_SKEW = 8L FISHEYE_CALIB_RECOMPUTE_EXTRINSIC = 2L FISHEYE_CALIB_USE_INTRINSIC_GUESS = 1L FLOODFILL_FIXED_RANGE = 65536L FLOODFILL_MASK_ONLY = 131072L FM_7POINT = 1L FM_8POINT = 2L FM_LMEDS = 4L FM_RANSAC = 8L FONT_HERSHEY_COMPLEX = 3L FONT_HERSHEY_COMPLEX_SMALL = 5L FONT_HERSHEY_DUPLEX = 2L FONT_HERSHEY_PLAIN = 1L FONT_HERSHEY_SCRIPT_COMPLEX = 7L FONT_HERSHEY_SCRIPT_SIMPLEX = 6L FONT_HERSHEY_SIMPLEX = 0L FONT_HERSHEY_TRIPLEX = 4L FONT_ITALIC = 16L FREAK_NB_ORIENPAIRS = 45L FREAK_NB_PAIRS = 512L FREAK_NB_SCALES = 64L FUZZY_MEAN_SHIFT_TRACKER_MIN_KERNEL_MASS = 1000L FUZZY_MEAN_SHIFT_TRACKER_RM_EDGE_DENSITY_FUZZY = 1L FUZZY_MEAN_SHIFT_TRACKER_RM_EDGE_DENSITY_LINEAR = 0L FUZZY_MEAN_SHIFT_TRACKER_RM_INNER_DENSITY = 2L FUZZY_MEAN_SHIFT_TRACKER_TS_DISABLED = 10L FUZZY_MEAN_SHIFT_TRACKER_TS_NONE = 0L FUZZY_MEAN_SHIFT_TRACKER_TS_SEARCHING = 1L FUZZY_MEAN_SHIFT_TRACKER_TS_SET_WINDOW = 3L FUZZY_MEAN_SHIFT_TRACKER_TS_TRACKING = 2L GBTREES_ABSOLUTE_LOSS = 1L GBTREES_DEVIANCE_LOSS = 4L GBTREES_HUBER_LOSS = 3L GBTREES_SQUARED_LOSS = 0L GC_BGD = 0L GC_EVAL = 2L GC_FGD = 1L GC_INIT_WITH_MASK = 1L GC_INIT_WITH_RECT = 0L GC_PR_BGD = 2L GC_PR_FGD = 3L GEMM_1_T = 1L GEMM_2_T = 2L GEMM_3_T = 4L GHT_POSITION = 0L GHT_ROTATION = 2L GHT_SCALE = 1L HAMMING_NORM_TYPE = 6L HOGDESCRIPTOR_DEFAULT_NLEVELS = 64L HOGDESCRIPTOR_L2HYS = 0L IMREAD_ANYCOLOR = 4L IMREAD_ANYDEPTH = 2L IMREAD_COLOR = 1L IMREAD_GRAYSCALE = 0L IMREAD_UNCHANGED = -1L IMWRITE_JPEG_QUALITY = 1L IMWRITE_PNG_BILEVEL = 18L IMWRITE_PNG_COMPRESSION = 16L IMWRITE_PNG_STRATEGY = 17L IMWRITE_PNG_STRATEGY_DEFAULT = 0L IMWRITE_PNG_STRATEGY_FILTERED = 1L IMWRITE_PNG_STRATEGY_FIXED = 4L IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY = 2L IMWRITE_PNG_STRATEGY_RLE = 3L IMWRITE_PXM_BINARY = 32L INPAINT_NS = 0L INPAINT_TELEA = 1L INTER_AREA = 3L INTER_BITS = 5L INTER_BITS2 = 10L INTER_CUBIC = 2L INTER_LANCZOS4 = 4L INTER_LINEAR = 1L INTER_MAX = 7L INTER_NEAREST = 0L INTER_TAB_SIZE = 32L INTER_TAB_SIZE2 = 1024L IPL_DEPTH_16S = 2147483664L IPL_DEPTH_16U = 16L IPL_DEPTH_32F = 32L IPL_DEPTH_32S = 2147483680L IPL_DEPTH_64F = 64L IPL_DEPTH_8S = 2147483656L IPL_DEPTH_8U = 8L ITERATIVE = 0L KERNEL_ASYMMETRICAL = 2L KERNEL_GENERAL = 0L KERNEL_INTEGER = 8L KERNEL_SMOOTH = 4L KERNEL_SYMMETRICAL = 1L KMEANS_PP_CENTERS = 2L KMEANS_RANDOM_CENTERS = 0L KMEANS_USE_INITIAL_LABELS = 1L LEV_MARQ_CALC_J = 2L LEV_MARQ_CHECK_ERR = 3L LEV_MARQ_DONE = 0L LEV_MARQ_STARTED = 1L LMEDS = 4L MAGIC_MASK = -65536L MARKER_CROSS = 0L MARKER_DIAMOND = 3L MARKER_SQUARE = 4L MARKER_STAR = 2L MARKER_TILTED_CROSS = 1L MARKER_TRIANGLE_DOWN = 6L MARKER_TRIANGLE_UP = 5L MAT_AUTO_STEP = 0L MAT_CONTINUOUS_FLAG = 16384L MAT_MAGIC_VAL = 1124007936L MAT_SUBMATRIX_FLAG = 32768L MORPH_BLACKHAT = 6L MORPH_CLOSE = 3L MORPH_CROSS = 1L MORPH_DILATE = 1L MORPH_ELLIPSE = 2L MORPH_ERODE = 0L MORPH_GRADIENT = 4L MORPH_HITMISS = 7L MORPH_OPEN = 2L MORPH_RECT = 0L MORPH_TOPHAT = 5L NORM_HAMMING = 6L NORM_HAMMING2 = 7L NORM_INF = 1L NORM_L1 = 2L NORM_L2 = 4L NORM_L2SQR = 5L NORM_MINMAX = 32L NORM_RELATIVE = 8L NORM_TYPE_MASK = 7L OPTFLOW_FARNEBACK_GAUSSIAN = 256L OPTFLOW_LK_GET_MIN_EIGENVALS = 8L OPTFLOW_USE_INITIAL_FLOW = 4L ORB_FAST_SCORE = 1L ORB_HARRIS_SCORE = 0L ORB_K_BYTES = 32L P3P = 2L PARAM_ALGORITHM = 6L PARAM_BOOLEAN = 1L PARAM_FLOAT = 7L PARAM_GRID_SVM_C = 0L PARAM_GRID_SVM_COEF = 4L PARAM_GRID_SVM_DEGREE = 5L PARAM_GRID_SVM_GAMMA = 1L PARAM_GRID_SVM_NU = 3L PARAM_GRID_SVM_P = 2L PARAM_INT = 0L PARAM_MAT = 4L PARAM_MAT_VECTOR = 5L PARAM_REAL = 2L PARAM_SHORT = 10L PARAM_STRING = 3L PARAM_UCHAR = 11L PARAM_UINT64 = 9L PARAM_UNSIGNED_INT = 8L PROJ_SPHERICAL_EQRECT = 1L PROJ_SPHERICAL_ORTHO = 0L RANSAC = 8L RETR_CCOMP = 2L RETR_EXTERNAL = 0L RETR_FLOODFILL = 4L RETR_LIST = 1L RETR_TREE = 3L RIGID_BODY_MOTION = 4L RNG_NORMAL = 1L RNG_UNIFORM = 0L ROTATION = 1L SELF_SIM_DESCRIPTOR_DEFAULT_LARGE_SIZE = 41L SELF_SIM_DESCRIPTOR_DEFAULT_NUM_ANGLES = 20L SELF_SIM_DESCRIPTOR_DEFAULT_NUM_DISTANCE_BUCKETS = 7L SELF_SIM_DESCRIPTOR_DEFAULT_SMALL_SIZE = 5L SELF_SIM_DESCRIPTOR_DEFAULT_START_DISTANCE_BUCKET = 3L SORT_ASCENDING = 0L SORT_DESCENDING = 16L SORT_EVERY_COLUMN = 1L SORT_EVERY_ROW = 0L SPARSE_MAT_HASH_BIT = -2147483648L SPARSE_MAT_HASH_SCALE = 1540483477L SPARSE_MAT_MAGIC_VAL = 1123876864L SPARSE_MAT_MAX_DIM = 32L STEREO_BM_BASIC_PRESET = 0L STEREO_BM_FISH_EYE_PRESET = 1L STEREO_BM_NARROW_PRESET = 2L STEREO_BM_PREFILTER_NORMALIZED_RESPONSE = 0L STEREO_BM_PREFILTER_XSOBEL = 1L STEREO_SGBM_DISP_SCALE = 16L STEREO_SGBM_DISP_SHIFT = 4L STEREO_VAR_CYCLE_O = 0L STEREO_VAR_CYCLE_V = 1L STEREO_VAR_PENALIZATION_CHARBONNIER = 1L STEREO_VAR_PENALIZATION_PERONA_MALIK = 2L STEREO_VAR_PENALIZATION_TICHONOV = 0L STEREO_VAR_USE_AUTO_PARAMS = 8L STEREO_VAR_USE_EQUALIZE_HIST = 2L STEREO_VAR_USE_INITIAL_DISPARITY = 1L STEREO_VAR_USE_MEDIAN_FILTERING = 16L STEREO_VAR_USE_SMART_ID = 4L SUBDIV2D_NEXT_AROUND_DST = 34L SUBDIV2D_NEXT_AROUND_LEFT = 19L SUBDIV2D_NEXT_AROUND_ORG = 0L SUBDIV2D_NEXT_AROUND_RIGHT = 49L SUBDIV2D_PREV_AROUND_DST = 51L SUBDIV2D_PREV_AROUND_LEFT = 32L SUBDIV2D_PREV_AROUND_ORG = 17L SUBDIV2D_PREV_AROUND_RIGHT = 2L SUBDIV2D_PTLOC_ERROR = -2L SUBDIV2D_PTLOC_INSIDE = 0L SUBDIV2D_PTLOC_ON_EDGE = 2L SUBDIV2D_PTLOC_OUTSIDE_RECT = -1L SUBDIV2D_PTLOC_VERTEX = 1L SVD_FULL_UV = 4L SVD_MODIFY_A = 1L SVD_NO_UV = 2L SVM_C = 0L SVM_COEF = 4L SVM_C_SVC = 100L SVM_DEGREE = 5L SVM_EPS_SVR = 103L SVM_GAMMA = 1L SVM_LINEAR = 0L SVM_NU = 3L SVM_NU_SVC = 101L SVM_NU_SVR = 104L SVM_ONE_CLASS = 102L SVM_P = 2L SVM_POLY = 1L SVM_RBF = 2L SVM_SIGMOID = 3L TERM_CRITERIA_COUNT = 1L TERM_CRITERIA_EPS = 2L TERM_CRITERIA_MAX_ITER = 1L THRESH_BINARY = 0L THRESH_BINARY_INV = 1L THRESH_MASK = 7L THRESH_OTSU = 8L THRESH_TOZERO = 3L THRESH_TOZERO_INV = 4L THRESH_TRUNC = 2L TM_CCOEFF = 4L TM_CCOEFF_NORMED = 5L TM_CCORR = 2L TM_CCORR_NORMED = 3L TM_SQDIFF = 0L TM_SQDIFF_NORMED = 1L TRANSLATION = 2L TYPE_MASK = 4095L WARP_INVERSE_MAP = 16L WINDOW_AUTOSIZE = 1L WINDOW_NORMAL = 0L WINDOW_OPENGL = 4096L WND_PROP_ASPECT_RATIO = 2L WND_PROP_AUTOSIZE = 1L WND_PROP_FULLSCREEN = 0L WND_PROP_OPENGL = 3L __version__ = '2.4.13.2'VERSION 2.4.13.2Process finished with exit code 0cv
Help on module cv2.cv in cv2:NAME cv2.cvFILE (built-in)CLASSES __builtin__.object cvmat iplimage class cvmat(__builtin__.object) | Methods defined here: | | __delitem__(...) | x.__delitem__(y) <==> del x[y] | | __getitem__(...) | x.__getitem__(y) <==> x[y] | | __init__(...) | x.__init__(...) initializes x; see help(type(x)) for signature | | __repr__(...) | x.__repr__() <==> repr(x) | | __setitem__(...) | x.__setitem__(i, y) <==> x[i]=y | | tostring(...) | | ---------------------------------------------------------------------- | Data descriptors defined here: | | __array_struct__ | __array_struct__ | | channels | channels | | cols | cols | | height | height | | rows | rows | | step | step | | type | type | | width | width | | ---------------------------------------------------------------------- | Data and other attributes defined here: | | __new__ = <built-in method __new__ of type object> | T.__new__(S, ...) -> a new object with type S, a subtype of T class iplimage(__builtin__.object) | Methods defined here: | | __delitem__(...) | x.__delitem__(y) <==> del x[y] | | __getitem__(...) | x.__getitem__(y) <==> x[y] | | __repr__(...) | x.__repr__() <==> repr(x) | | __setitem__(...) | x.__setitem__(i, y) <==> x[i]=y | | tostring(...) | | ---------------------------------------------------------------------- | Data descriptors defined here: | | channels | nChannels | | depth | depth | | height | height | | nChannels | nChannels | | origin | origin | | width | width | | ---------------------------------------------------------------------- | Data and other attributes defined here: | | __new__ = <built-in method __new__ of type object> | T.__new__(S, ...) -> a new object with type S, a subtype of TFUNCTIONS 16SC(...) CV_16SC(n) -> int 16UC(...) CV_16UC(n) -> int 32FC(...) CV_32FC(n) -> int 32SC(...) CV_32SC(n) -> int 64FC(...) CV_64FC(n) -> int 8SC(...) CV_8SC(n) -> int 8UC(...) CV_8UC(n) -> int Abs(...) Abs(src, dst) -> None AbsDiff(...) AbsDiff(src1, src2, dst) -> None AbsDiffS(...) AbsDiffS(src, dst, value) -> None Acc(...) Acc(image, sum [, mask]) -> None AdaptiveThreshold(...) AdaptiveThreshold(src, dst, maxValue [, adaptive_method [, thresholdType [, blockSize [, param1]]]]) -> None Add(...) Add(src1, src2, dst [, mask]) -> None AddS(...) AddS(src, value, dst [, mask]) -> None AddWeighted(...) AddWeighted(src1, alpha, src2, beta, gamma, dst) -> None And(...) And(src1, src2, dst [, mask]) -> None AndS(...) AndS(src, value, dst [, mask]) -> None ApproxChains(...) ApproxChains(src_seq, storage [, method [, parameter [, minimal_perimeter [, recursive]]]]) -> CvSeq* ApproxPoly(...) ApproxPoly(src_seq, storage, method [, parameter [, parameter2]]) -> None ArcLength(...) ArcLength(curve [, slice [, isClosed]]) -> double Avg(...) Avg(arr [, mask]) -> CvScalar AvgSdv(...) AvgSdv(arr [, mask]) -> mean,stdDev BackProjectPCA(...) BackProjectPCA(proj, avg, eigenvects, result) -> None BoundingRect(...) BoundingRect(points [, update]) -> CvRect BoxPoints(...) BoxPoints(box) -> points CMP(...) CV_CMP(a, b) -> int CV_16SC(...) CV_16SC(n) -> int CV_16UC(...) CV_16UC(n) -> int CV_32FC(...) CV_32FC(n) -> int CV_32SC(...) CV_32SC(n) -> int CV_64FC(...) CV_64FC(n) -> int CV_8SC(...) CV_8SC(n) -> int CV_8UC(...) CV_8UC(n) -> int CV_CMP(...) CV_CMP(a, b) -> int CV_FOURCC(...) CV_FOURCC(c1, c2, c3, c4) -> int CV_IABS(...) CV_IABS(a) -> int CV_IS_SEQ_CLOSED(...) CV_IS_SEQ_CLOSED(s) -> int CV_IS_SEQ_CONVEX(...) CV_IS_SEQ_CONVEX(s) -> int CV_IS_SEQ_CURVE(...) CV_IS_SEQ_CURVE(s) -> int CV_IS_SEQ_HOLE(...) CV_IS_SEQ_HOLE(s) -> int CV_IS_SEQ_INDEX(...) CV_IS_SEQ_INDEX(s) -> int CV_IS_SEQ_SIMPLE(...) CV_IS_SEQ_SIMPLE(s) -> int CV_MAKETYPE(...) CV_MAKETYPE(depth, cn) -> int CV_MAT_CN(...) CV_MAT_CN(i) -> int CV_MAT_DEPTH(...) CV_MAT_DEPTH(i) -> int CV_RGB(...) CV_RGB(red, grn, blu) -> CvScalar CV_SIGN(...) CV_SIGN(a) -> int CalcArrBackProject(...) CalcArrBackProject(image, back_project, hist) -> None CalcArrHist(...) CalcArrHist(image, hist [, accumulate [, mask]]) -> None CalcBackProject(...) CalcBackProject(image, back_project, hist) -> None CalcBackProjectPatch(...) CalcBackProjectPatch(images, dst, patch_size, hist, method, factor) -> None CalcCovarMatrix(...) CalcCovarMatrix(vects, covMat, avg, flags) -> None CalcEMD2(...) CalcEMD2(signature1, signature2, distance_type [, distance_func [, cost_matrix [, flow [, lower_bound [, userdata]]]]]) -> float CalcGlobalOrientation(...) CalcGlobalOrientation(orientation, mask, mhi, timestamp, duration) -> double CalcHist(...) CalcHist(image, hist [, accumulate [, mask]]) -> None CalcMotionGradient(...) CalcMotionGradient(mhi, mask, orientation, delta1, delta2 [, apertureSize]) -> None CalcOpticalFlowBM(...) CalcOpticalFlowBM(prev, curr, blockSize, shiftSize, max_range, usePrevious, velx, vely) -> None CalcOpticalFlowFarneback(...) CalcOpticalFlowFarneback(prev, curr, flow [, pyr_scale [, levels [, winsize [, iterations [, poly_n [, poly_sigma [, flags]]]]]]]) -> None CalcOpticalFlowHS(...) CalcOpticalFlowHS(prev, curr, usePrevious, velx, vely, lambda, criteria) -> None CalcOpticalFlowLK(...) CalcOpticalFlowLK(prev, curr, winSize, velx, vely) -> None CalcOpticalFlowPyrLK(...) CalcOpticalFlowPyrLK(prev, curr, prevPyr, currPyr, prevFeatures, winSize, level, criteria, flags [, guesses]) -> currFeatures,status,track_error CalcPCA(...) CalcPCA(data, avg, eigenvalues, eigenvectors, flags) -> None CalcProbDensity(...) CalcProbDensity(hist1, hist2, dst_hist [, scale]) -> None CalcSubdivVoronoi2D(...) CalcSubdivVoronoi2D(subdiv) -> None CalibrateCamera2(...) CalibrateCamera2(objectPoints, imagePoints, pointCounts, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs [, flags]) -> None CalibrationMatrixValues(...) CalibrationMatrixValues(calibMatr, image_size [, apertureWidth [, apertureHeight]]) -> fovx,fovy,focalLength,principalPoint,pixelAspectRatio CamShift(...) CamShift(prob_image, window, criteria) -> int,comp,box Canny(...) Canny(image, edges, threshold1, threshold2 [, aperture_size]) -> None CaptureFromCAM(...) CaptureFromCAM(index) -> CvCapture* CaptureFromFile(...) CaptureFromFile(filename) -> CvCapture* CartToPolar(...) CartToPolar(x, y, magnitude [, angle [, angleInDegrees]]) -> None Cbrt(...) Cbrt(value) -> float Ceil(...) Ceil(value) -> int CheckArr(...) CheckArr(arr [, flags [, min_val [, max_val]]]) -> int CheckContourConvexity(...) CheckContourConvexity(contour) -> int Circle(...) Circle(img, center, radius, color [, thickness [, lineType [, shift]]]) -> None ClearHist(...) ClearHist(hist) -> None ClearND(...) ClearND(arr, idx) -> None ClearSeq(...) ClearSeq(seq) -> None ClearSubdivVoronoi2D(...) ClearSubdivVoronoi2D(subdiv) -> None ClipLine(...) ClipLine(imgSize, pt1, pt2) -> point1,point2 CloneImage(...) CloneImage(image) -> IplImage* CloneMat(...) CloneMat(mat) -> CvMat* CloneMatND(...) CloneMatND(mat) -> CvMatND* CloneSeq(...) CloneSeq(seq, storage) -> None Cmp(...) Cmp(src1, src2, dst, cmpOp) -> None CmpS(...) CmpS(src, value, dst, cmpOp) -> None CompareHist(...) CompareHist(hist1, hist2, method) -> double ComputeCorrespondEpilines(...) ComputeCorrespondEpilines(points, whichImage, F, lines) -> None ContourArea(...) ContourArea(contour [, slice]) -> double Convert(...) Convert(src, dst) -> None ConvertImage(...) ConvertImage(src, dst [, flags]) -> None ConvertMaps(...) ConvertMaps(mapx, mapy, mapxy, mapalpha) -> None ConvertPointsHomogeneous(...) ConvertPointsHomogeneous(src, dst) -> None ConvertScale(...) ConvertScale(src, dst [, scale [, shift]]) -> None ConvertScaleAbs(...) ConvertScaleAbs(src, dst [, scale [, shift]]) -> None ConvexHull2(...) ConvexHull2(points, storage [, orientation [, return_points]]) -> CvSeq* ConvexityDefects(...) ConvexityDefects(contour, convexhull, storage) -> CvSeqOfCvConvexityDefect* Copy(...) Copy(src, dst [, mask]) -> None CopyMakeBorder(...) CopyMakeBorder(src, dst, offset, bordertype [, value]) -> None CornerEigenValsAndVecs(...) CornerEigenValsAndVecs(image, eigenvv, blockSize [, aperture_size]) -> None CornerHarris(...) CornerHarris(image, harris_dst, blockSize [, aperture_size [, k]]) -> None CornerMinEigenVal(...) CornerMinEigenVal(image, eigenval, blockSize [, aperture_size]) -> None CountNonZero(...) CountNonZero(arr) -> int CreateCameraCapture(...) CreateCameraCapture(index) -> CvCapture* CreateData(...) CreateData(arr) -> None CreateFileCapture(...) CreateFileCapture(filename) -> CvCapture* CreateHist(...) CreateHist(dims, type [, ranges [, uniform]]) -> CvHistogram CreateImage(...) CreateImage(size, depth, channels) -> IplImage* CreateImageHeader(...) CreateImageHeader(size, depth, channels) -> IplImage* CreateKalman(...) CreateKalman(dynam_params, measure_params [, control_params]) -> CvKalman* CreateMat(...) CreateMat(rows, cols, type) -> CvMat CreateMatHeader(...) CreateMatHeader(rows, cols, type) -> CvMat CreateMatND(...) CreateMatND(dims, type) -> CvMatND CreateMatNDHeader(...) CreateMatNDHeader(dims, type) -> CvMatND CreateMemStorage(...) CreateMemStorage( [, blockSize]) -> CvMemStorage CreatePOSITObject(...) CreatePOSITObject(points) -> CvPOSITObject* CreateStereoBMState(...) CreateStereoBMState( [, preset [, numberOfDisparities]]) -> CvStereoBMState* CreateStereoGCState(...) CreateStereoGCState(numberOfDisparities, maxIters) -> CvStereoGCState* CreateStructuringElementEx(...) CreateStructuringElementEx(cols, rows, anchorX, anchorY, shape [, values]) -> IplConvKernel* CreateSubdivDelaunay2D(...) CreateSubdivDelaunay2D(rect, storage) -> CvSubdiv2D* CreateTrackbar(...) CreateTrackbar(trackbarName, windowName, value, count, onChange) -> None CreateVideoWriter(...) CreateVideoWriter(filename, fourcc, fps, frame_size [, is_color]) -> CvVideoWriter* CrossProduct(...) CrossProduct(src1, src2, dst) -> None CvtColor(...) CvtColor(src, dst, code) -> None CvtPixToPlane(...) CvtPixToPlane(src, dst0, dst1, dst2, dst3) -> None CvtScale(...) CvtScale(src, dst [, scale [, shift]]) -> None DCT(...) DCT(src, dst, flags) -> None DFT(...) DFT(src, dst, flags [, nonzeroRows]) -> None DecodeImage(...) DecodeImage(buf [, iscolor]) -> IplImage* DecodeImageM(...) DecodeImageM(buf [, iscolor]) -> CvMat* DecomposeProjectionMatrix(...) DecomposeProjectionMatrix(projMatrix, cameraMatrix, rotMatrix, transVect [, rotMatrX [, rotMatrY [, rotMatrZ]]]) -> eulerAngles DestroyAllWindows(...) DestroyAllWindows() -> None DestroyWindow(...) DestroyWindow(name) -> None Det(...) Det(mat) -> double Dilate(...) Dilate(src, dst [, element [, iterations]]) -> None DistTransform(...) DistTransform(src, dst [, distance_type [, mask_size [, mask [, labels]]]]) -> None Div(...) Div(src1, src2, dst [, scale]) -> None DotProduct(...) DotProduct(src1, src2) -> double DrawChessboardCorners(...) DrawChessboardCorners(image, patternSize, corners, patternWasFound) -> None DrawContours(...) DrawContours(img, contour, external_color, hole_color, max_level [, thickness [, lineType [, offset]]]) -> None EigenVV(...) EigenVV(mat, evects, evals, eps [, lowindex [, highindex]]) -> None Ellipse(...) Ellipse(img, center, axes, angle, start_angle, end_angle, color [, thickness [, lineType [, shift]]]) -> None EllipseBox(...) EllipseBox(img, box, color [, thickness [, lineType [, shift]]]) -> None EncodeImage(...) EncodeImage(ext, image [, params]) -> CvMat* EqualizeHist(...) EqualizeHist(src, dst) -> None Erode(...) Erode(src, dst [, element [, iterations]]) -> None EstimateRigidTransform(...) EstimateRigidTransform(A, B, M, full_affine) -> None Exp(...) Exp(src, dst) -> None ExtractSURF(...) ExtractSURF(image, mask, storage, params) -> keypoints,descriptors FOURCC(...) CV_FOURCC(c1, c2, c3, c4) -> int FastArctan(...) FastArctan(y, x) -> float FillConvexPoly(...) FillConvexPoly(img, pn, color [, lineType [, shift]]) -> None FillPoly(...) FillPoly(img, polys, color [, lineType [, shift]]) -> None Filter2D(...) Filter2D(src, dst, kernel [, anchor]) -> None FindChessboardCorners(...) FindChessboardCorners(image, patternSize [, flags]) -> corners FindContours(...) FindContours(image, storage [, mode [, method [, offset]]]) -> CvSeq FindCornerSubPix(...) FindCornerSubPix(image, corners, win, zero_zone, criteria) -> corners FindDataMatrix(...) FindExtrinsicCameraParams2(...) FindExtrinsicCameraParams2(objectPoints, imagePoints, cameraMatrix, distCoeffs, rvec, tvec [, useExtrinsicGuess]) -> None FindFundamentalMat(...) FindFundamentalMat(points1, points2, fundamentalMatrix [, method [, param1 [, param2 [, status]]]]) -> int FindHomography(...) FindHomography(srcPoints, dstPoints, H [, method [, ransacReprojThreshold [, status]]]) -> None FindNearestPoint2D(...) FindNearestPoint2D(subdiv, pt) -> CvSubdiv2DPoint* FindStereoCorrespondenceBM(...) FindStereoCorrespondenceBM(left, right, disparity, state) -> None FindStereoCorrespondenceGC(...) FindStereoCorrespondenceGC(left, right, dispLeft, dispRight, state [, useDisparityGuess]) -> None FitEllipse2(...) FitEllipse2(points) -> CvBox2D FitLine(...) FitLine(points, dist_type, param, reps, aeps) -> line Flip(...) Flip(src [, dst [, flipMode]]) -> None FloodFill(...) FloodFill(image, seed_point, new_val [, lo_diff [, up_diff [, flags [, mask]]]]) -> comp Floor(...) Floor(value) -> int GEMM(...) GEMM(src1, src2, alpha, src3, beta, dst [, tABC]) -> None Get1D(...) Get1D(arr, idx) -> CvScalar Get2D(...) Get2D(arr, idx0, idx1) -> CvScalar Get3D(...) Get3D(arr, idx0, idx1, idx2) -> CvScalar GetAffineTransform(...) GetAffineTransform(src, dst, mapMatrix) -> None GetCaptureProperty(...) GetCaptureProperty(capture, property_id) -> double GetCentralMoment(...) GetCentralMoment(moments, x_order, y_order) -> double GetCol(...) GetCol(arr, col) -> submat GetCols(...) GetCols(arr, startCol, endCol) -> submat GetDiag(...) GetDiag(arr [, diag]) -> submat GetDims(...) GetDims(arr) -> dim1,dim2,... GetElemType(...) GetElemType(arr) -> int GetHuMoments(...) GetHuMoments(moments) -> hu GetImage(...) GetImage(arr) -> iplimage GetImageCOI(...) GetImageCOI(image) -> int GetImageROI(...) GetImageROI(image) -> CvRect GetMat(...) GetMat(arr [, allowND]) -> CvMat GetMinMaxHistValue(...) GetMinMaxHistValue(hist) -> min_value,max_value,min_idx,max_idx GetND(...) GetND(arr, indices) -> CvScalar GetNormalizedCentralMoment(...) GetNormalizedCentralMoment(moments, x_order, y_order) -> double GetOptimalDFTSize(...) GetOptimalDFTSize(size0) -> int GetOptimalNewCameraMatrix(...) GetOptimalNewCameraMatrix(cameraMatrix, distCoeffs, imageSize, alpha, newCameraMatrix [, newImageSize [, validPixROI [, centerPrincipalPoint]]]) -> None GetPerspectiveTransform(...) GetPerspectiveTransform(src, dst, mapMatrix) -> None GetQuadrangleSubPix(...) GetQuadrangleSubPix(src, dst, mapMatrix) -> None GetReal1D(...) GetReal1D(arr, idx0) -> double GetReal2D(...) GetReal2D(arr, idx0, idx1) -> double GetReal3D(...) GetReal3D(arr, idx0, idx1, idx2) -> double GetRealND(...) GetRealND(arr, idx) -> double GetRectSubPix(...) GetRectSubPix(src, dst, center) -> None GetRotationMatrix2D(...) GetRotationMatrix2D(center, angle, scale, mapMatrix) -> None GetRow(...) GetRow(arr, row) -> submat GetRows(...) GetRows(arr, startRow, endRow [, deltaRow]) -> submat GetSize(...) GetSize(arr) -> CvSize GetSpatialMoment(...) GetSpatialMoment(moments, x_order, y_order) -> double GetStarKeypoints(...) GetStarKeypoints(image, storage [, params]) -> CvSeqOfCvStarKeypoint* GetSubRect(...) GetSubRect(arr, rect) -> submat GetTextSize(...) GetTextSize(textString, font) -> textSize,baseline GetTickCount(...) GetTickCount() -> int64 GetTickFrequency(...) GetTickFrequency() -> int64 GetTrackbarPos(...) GetTrackbarPos(trackbarName, windowName) -> int GetWindowProperty(...) GetWindowProperty(name, prop_id) -> double GoodFeaturesToTrack(...) GoodFeaturesToTrack(image, eigImage, tempImage, cornerCount, qualityLevel, minDistance [, mask [, blockSize [, useHarris [, k]]]]) -> cornerCount GrabCut(...) GrabCut(image, mask, rect, bgdModel, fgdModel, iterCount, mode) -> None GrabFrame(...) GrabFrame(capture) -> int HOGDetectMultiScale(...) HOGDetectMultiScale(image, storage [, svm_classifier [, win_stride [, hit_threshold [, scale [, group_threshold [, padding [, win_size [, block_size [, block_stride [, cell_size [, nbins [, gammaCorrection]]]]]]]]]]]]) -> CvSeq* HaarDetectObjects(...) HaarDetectObjects(image, cascade, storage [, scale_factor [, min_neighbors [, flags [, min_size]]]]) -> CvSeqOfCvAvgComp* HoughCircles(...) HoughCircles(image, circle_storage, method, dp, min_dist [, param1 [, param2 [, min_radius [, max_radius]]]]) -> None HoughLines2(...) HoughLines2(image, storage, method, rho, theta, threshold [, param1 [, param2]]) -> CvSeq* IABS(...) CV_IABS(a) -> int IS_SEQ_CLOSED(...) CV_IS_SEQ_CLOSED(s) -> int IS_SEQ_CONVEX(...) CV_IS_SEQ_CONVEX(s) -> int IS_SEQ_CURVE(...) CV_IS_SEQ_CURVE(s) -> int IS_SEQ_HOLE(...) CV_IS_SEQ_HOLE(s) -> int IS_SEQ_INDEX(...) CV_IS_SEQ_INDEX(s) -> int IS_SEQ_SIMPLE(...) CV_IS_SEQ_SIMPLE(s) -> int InRange(...) InRange(src, lower, upper, dst) -> None InRangeS(...) InRangeS(src, lower, upper, dst) -> None InitFont(...) InitFont(fontFace, hscale, vscale [, shear [, thickness [, lineType]]]) -> font InitIntrinsicParams2D(...) InitIntrinsicParams2D(objectPoints, imagePoints, npoints, imageSize, cameraMatrix [, aspectRatio]) -> None InitLineIterator(...) InitLineIterator(image, pt1, pt2 [, connectivity [, left_to_right]]) -> line_iterator InitUndistortMap(...) InitUndistortMap(cameraMatrix, distCoeffs, map1, map2) -> None InitUndistortRectifyMap(...) InitUndistortRectifyMap(cameraMatrix, distCoeffs, R, newCameraMatrix, map1, map2) -> None Inpaint(...) Inpaint(src, mask, dst, inpaintRadius, flags) -> None Integral(...) Integral(image, sum [, sqsum [, tiltedSum]]) -> None InvSqrt(...) InvSqrt(value) -> float Invert(...) Invert(src, dst [, method]) -> double IsInf(...) IsInf(value) -> int IsNaN(...) IsNaN(value) -> int KMeans2(...) KMeans2(samples, nclusters, labels, termcrit [, attempts [, flags [, centers]]]) -> double KalmanCorrect(...) KalmanCorrect(kalman, measurement) -> ROCvMat* KalmanPredict(...) KalmanPredict(kalman [, control]) -> ROCvMat* LUT(... LUT(src, dst, lut) -> None Laplace(...) Laplace(src, dst [, apertureSize]) -> None Line(...) Line(img, pt1, pt2, color [, thickness [, lineType [, shift]]]) -> None Load(...) Load(filename [, storage [, name]]) -> generic LoadImage(...) LoadImage(filename [, iscolor]) -> None LoadImageM(...) LoadImageM(filename [, iscolor]) -> None Log(...) Log(src, dst) -> None LogPolar(...) LogPolar(src, dst, center, M [, flags]) -> None MAKETYPE(...) CV_MAKETYPE(depth, cn) -> int MAT_CN(...) CV_MAT_CN(i) -> int MAT_DEPTH(...) CV_MAT_DEPTH(i) -> int Mahalonobis(...) Mahalonobis(vec1, vec2, mat) -> None MatMul(...) MatMul(src1, src2, dst) -> None MatMulAdd(...) MatMulAdd(src1, src2, src3, dst) -> None MatchShapes(...) MatchShapes(object1, object2, method [, parameter]) -> double MatchTemplate(...) MatchTemplate(image, templ, result, method) -> None Max(...) Max(src1, src2, dst) -> None MaxRect(...) MaxRect(rect1, rect2) -> CvRect MaxS(...) MaxS(src, value, dst) -> None MeanShift(...) MeanShift(prob_image, window, criteria) -> comp Merge(...) Merge(src0, src1, src2, src3, dst) -> None Min(...) Min(src1, src2, dst) -> None MinAreaRect2(...) MinAreaRect2(points [, storage]) -> CvBox2D MinEnclosingCircle(...) MinEnclosingCircle(points) -> int,center,radius MinMaxLoc(...) MinMaxLoc(arr [, mask]) -> minVal,maxVal,minLoc,maxLoc MinS(...) MinS(src, value, dst) -> None MixChannels(...) MixChannels(src, dst, fromTo) -> None Moments(...) Moments(arr [, binary]) -> moments MorphologyEx(...) MorphologyEx(src, dst, temp, element, operation [, iterations]) -> None MoveWindow(...) MoveWindow(name, x, y) -> None Mul(...) Mul(src1, src2, dst [, scale]) -> None MulSpectrums(...) MulSpectrums(src1, src2, dst, flags) -> None MulTransposed(...) MulTransposed(src, dst, order [, delta [, scale]]) -> None MultiplyAcc(...) MultiplyAcc(image1, image2, acc [, mask]) -> None NamedWindow(...) NamedWindow(name [, flags]) -> None Norm(...) Norm(arr1, arr2 [, normType [, mask]]) -> double Normalize(...) Normalize(src, dst [, a [, b [, norm_type [, mask]]]]) -> None NormalizeHist(...) NormalizeHist(hist, factor) -> None Not(...) Not(src, dst) -> None Or(...) Or(src1, src2, dst [, mask]) -> None OrS(...) OrS(src, value, dst [, mask]) -> None POSIT(...) POSIT(posit_object, imagePoints, focal_length, criteria) -> rotationMatrix,translation_vector PerspectiveTransform(...) PerspectiveTransform(src, dst, mat) -> None PointPolygonTest(...) PointPolygonTest(contour, pt, measure_dist) -> double PolarToCart(...) PolarToCart(magnitude, angle, x, y [, angleInDegrees]) -> None PolyLine(...) PolyLine(img, polys, is_closed, color [, thickness [, lineType [, shift]]]) -> None Pow(...) Pow(src, dst, power) -> None PreCornerDetect(...) PreCornerDetect(image, corners [, apertureSize]) -> None ProjectPCA(...) ProjectPCA(data, avg, eigenvectors, result) -> None ProjectPoints2(...) ProjectPoints2(objectPoints, rvec, tvec, cameraMatrix, distCoeffs, imagePoints [, dpdrot [, dpdt [, dpdf [, dpdc [, dpddist]]]]]) -> None PutText(...) PutText(img, text, org, font, color) -> None PyrDown(...) PyrDown(src, dst [, filter]) -> None PyrMeanShiftFiltering(...) PyrMeanShiftFiltering(src, dst, sp, sr [, max_level [, termcrit]]) -> None PyrSegmentation(...) PyrSegmentation(src, dst, storage, level, threshold1, threshold2) -> comp PyrUp(...) PyrUp(src, dst [, filter]) -> None QueryFrame(...) QueryFrame(capture) -> ROIplImage* QueryHistValue_1D(...) QueryHistValue_1D(hist, idx0) -> double QueryHistValue_2D(...) QueryHistValue_2D(hist, idx0, idx1) -> double QueryHistValue_3D(...) QueryHistValue_3D(hist, idx0, idx1, idx2) -> double QueryHistValue_nD(...) QueryHistValue_nD(hist, idx) -> double RGB(...) CV_RGB(red, grn, blu) -> CvScalar RNG(...) RNG( [, seed]) -> CvRNG RQDecomp3x3(...) RQDecomp3x3(M, R, Q [, Qx [, Qy [, Qz]]]) -> eulerAngles RandArr(...) RandArr(rng, arr, distType, param1, param2) -> None RandInt(...) RandInt(rng) -> unsigned RandReal(...) RandReal(rng) -> double RandShuffle(...) RandShuffle(mat, rng [, iter_factor]) -> None Range(...) Range(mat, start, end) -> None RealScalar(...) RealScalar(val0) -> CvScalar Rectangle(...) Rectangle(img, pt1, pt2, color [, thickness [, lineType [, shift]]]) -> None Reduce(...) Reduce(src, dst [, dim [, op]]) -> None Remap(...) Remap(src, dst, mapx, mapy [, flags [, fillval]]) -> None Repeat(...) Repeat(src, dst) -> None ReprojectImageTo3D(...) ReprojectImageTo3D(disparity, _3dImage, Q [, handleMissingValues]) -> None ResetImageROI(...) ResetImageROI(image) -> None Reshape(...) Reshape(arr, newCn [, newRows]) -> CvMat ReshapeMatND(...) ReshapeMatND(arr, newCn, newDims) -> CvMat Resize(...) Resize(src, dst [, interpolation]) -> None ResizeWindow(...) ResizeWindow(name, width, height) -> None RetrieveFrame(...) RetrieveFrame(capture [, index]) -> ROIplImage* Rodrigues2(...) Rodrigues2(src, dst [, jacobian]) -> None Round(...) Round(value) -> int RunningAvg(...) RunningAvg(image, acc, alpha [, mask]) -> None SIGN(...) CV_SIGN(a) -> int SVBkSb(...) SVBkSb(W, U, V, B, X, flags) -> None SVD(...) SVD(A, W [, U [, V [, flags]]]) -> None Save(...) Save(filename, structPtr [, name [, comment]]) -> None SaveImage(...) SaveImage(filename, image) -> None Scalar(...) Scalar(val0 [, val1 [, val2 [, val3]]]) -> CvScalar ScalarAll(...) ScalarAll(val0123) -> CvScalar Scale(...) Scale(src, dst [, scale [, shift]]) -> None ScaleAdd(...) ScaleAdd(src1, scale, src2, dst) -> None SegmentMotion(...) SegmentMotion(mhi, seg_mask, storage, timestamp, seg_thresh) -> CvSeq* SeqInvert(...) SeqInvert(seq) -> None SeqRemove(...) SeqRemove(seq, index) -> None SeqRemoveSlice(...) SeqRemoveSlice(seq, slice) -> None Set(...) Set(arr, value [, mask]) -> None Set1D(...) Set1D(arr, idx, value) -> None Set2D(...) Set2D(arr, idx0, idx1, value) -> None Set3D(...) Set3D(arr, idx0, idx1, idx2, value) -> None SetCaptureProperty(...) SetCaptureProperty(capture, property_id, value) -> int SetData(...) SetData(arr, data, step) -> None SetIdentity(...) SetIdentity(mat [, value]) -> None SetImageCOI(...) SetImageCOI(image, coi) -> None SetImageROI(...) SetImageROI(image, rect) -> None SetMouseCallback(...) SetMouseCallback(windowName, onMouse [, param]) -> None SetND(...) SetND(arr, indices, value) -> None SetReal1D(...) SetReal1D(arr, idx, value) -> None SetReal2D(...) SetReal2D(arr, idx0, idx1, value) -> None SetReal3D(...) SetReal3D(arr, idx0, idx1, idx2, value) -> None SetRealND(...) SetRealND(arr, indices, value) -> None SetTrackbarPos(...) SetTrackbarPos(trackbarName, windowName, pos) -> None SetWindowProperty(...) SetWindowProperty(name, prop_id, prop_value) -> None SetZero(...) SetZero(arr) -> None ShowImage(...) ShowImage(name, image) -> None Smooth(...) Smooth(src, dst [, smoothtype [, param1 [, param2 [, param3 [, param4]]]]]) -> None SnakeImage(...) SnakeImage(image, points, alpha, beta, gamma, win, criteria [, calc_gradient]) -> points Sobel(...) Sobel(src, dst, xorder, yorder [, apertureSize]) -> None Solve(...) Solve(A, B, X [, method]) -> None SolveCubic(...) SolveCubic(coeffs, roots) -> None SolvePoly(...) SolvePoly(coeffs, roots [, maxiter [, fig]]) -> None Sort(...) Sort(src, dst, idxmat [, flags]) -> None Split(...) Split(src, dst0, dst1, dst2, dst3) -> None Sqrt(...) Sqrt(value) -> float SquareAcc(...) SquareAcc(image, sqsum [, mask]) -> None StartWindowThread(...) StartWindowThread() -> None StereoCalibrate(...) StereoCalibrate(objectPoints, imagePoints1, imagePoints2, pointCounts, cameraMatrix1, distCoeffs1, cameraMatrix2, distCoeffs2, imageSize, R, T [, E [, F [, term_crit [, flags]]]]) -> None StereoRectify(...) StereoRectify(cameraMatrix1, cameraMatrix2, distCoeffs1, distCoeffs2, imageSize, R, T, R1, R2, P1, P2 [, Q [, flags [, alpha [, newImageSize]]]]) -> roi1,roi2 StereoRectifyUncalibrated(...) StereoRectifyUncalibrated(points1, points2, F, imageSize, H1, H2 [, threshold]) -> None Sub(...) Sub(src1, src2, dst [, mask]) -> None SubRS(...) SubRS(src, value, dst [, mask]) -> None SubS(...) SubS(src, value, dst [, mask]) -> None Subdiv2DEdgeDst(...) Subdiv2DEdgeDst(edge) -> CvSubdiv2DPoint* Subdiv2DEdgeOrg(...) Subdiv2DEdgeOrg(edge) -> CvSubdiv2DPoint* Subdiv2DGetEdge(...) Subdiv2DGetEdge(edge, type) -> CvSubdiv2DEdge Subdiv2DLocate(...) Subdiv2DLocate(subdiv, pt) -> loc,where Subdiv2DNextEdge(...) Subdiv2DNextEdge(edge) -> CvSubdiv2DEdge Subdiv2DRotateEdge(...) Subdiv2DRotateEdge(edge, rotate) -> CvSubdiv2DEdge SubdivDelaunay2DInsert(...) SubdivDelaunay2DInsert(subdiv, pt) -> CvSubdiv2DPoint* Sum(...) Sum(arr) -> CvScalar ThreshHist(...) ThreshHist(hist, threshold) -> None Threshold(...) Threshold(src, dst, threshold, maxValue, thresholdType) -> None Trace(...) Trace(mat) -> CvScalar Transform(...) Transform(src, dst, transmat [, shiftvec]) -> None Transpose(...) Transpose(src, dst) -> None Undistort2(...) Undistort2(src, dst, cameraMatrix, distCoeffs) -> None UndistortPoints(...) UndistortPoints(src, dst, cameraMatrix, distCoeffs [, R [, P]]) -> None UpdateMotionHistory(...) UpdateMotionHistory(silhouette, mhi, timestamp, duration) -> None WaitKey(...) WaitKey( [, delay]) -> int WarpAffine(...) WarpAffine(src, dst, mapMatrix [, flags [, fillval]]) -> None WarpPerspective(...) WarpPerspective(src, dst, mapMatrix [, flags [, fillval]]) -> None Watershed(...) Watershed(image, markers) -> None WriteFrame(...) WriteFrame(writer, image) -> int Xor(...) Xor(src1, src2, dst [, mask]) -> None XorS(...) XorS(src, value, dst [, mask]) -> None Zero(...) Zero(arr) -> None fromarray(...) fromarray(array [, allowND]) -> CvMat mGet(...) mGet(mat, row, col) -> double mSet(...) mSet(mat, row, col, value) -> None temp_test(...)DATA CV_16S = 3 CV_16SC1 = 3 CV_16SC2 = 11 CV_16SC3 = 19 CV_16SC4 = 27 CV_16U = 2 CV_16UC1 = 2 CV_16UC2 = 10 CV_16UC3 = 18 CV_16UC4 = 26 CV_32F = 5 CV_32FC1 = 5 CV_32FC2 = 13 CV_32FC3 = 21 CV_32FC4 = 29 CV_32S = 4 CV_32SC1 = 4 CV_32SC2 = 12 CV_32SC3 = 20 CV_32SC4 = 28 CV_64F = 6 CV_64FC1 = 6 CV_64FC2 = 14 CV_64FC3 = 22 CV_64FC4 = 30 CV_8S = 1 CV_8SC1 = 1 CV_8SC2 = 9 CV_8SC3 = 17 CV_8SC4 = 25 CV_8U = 0 CV_8UC1 = 0 CV_8UC2 = 8 CV_8UC3 = 16 CV_8UC4 = 24 CV_AA = 16 CV_ADAPTIVE_THRESH_GAUSSIAN_C = 1 CV_ADAPTIVE_THRESH_MEAN_C = 0 CV_AUTOSTEP = 2147483647 CV_BACK = 0 CV_BGR2BGR555 = 22 CV_BGR2BGR565 = 12 CV_BGR2BGRA = 0 CV_BGR2GRAY = 6 CV_BGR2HLS = 52 CV_BGR2HSV = 40 CV_BGR2Lab = 44 CV_BGR2Luv = 50 CV_BGR2RGB = 4 CV_BGR2RGBA = 2 CV_BGR2XYZ = 32 CV_BGR2YCrCb = 36 CV_BGR5552BGR = 24 CV_BGR5552BGRA = 28 CV_BGR5552GRAY = 31 CV_BGR5552RGB = 25 CV_BGR5552RGBA = 29 CV_BGR5652BGR = 14 CV_BGR5652BGRA = 18 CV_BGR5652GRAY = 21 CV_BGR5652RGB = 15 CV_BGR5652RGBA = 19 CV_BGRA2BGR = 1 CV_BGRA2BGR555 = 26 CV_BGRA2BGR565 = 16 CV_BGRA2GRAY = 10 CV_BGRA2RGB = 3 CV_BGRA2RGBA = 5 CV_BILATERAL = 4 CV_BLUR = 1 CV_BLUR_NO_SCALE = 0 CV_BayerBG2BGR = 46 CV_BayerBG2BGR_VNG = 62 CV_BayerBG2RGB = 48 CV_BayerGB2BGR = 47 CV_BayerGB2BGR_VNG = 63 CV_BayerGB2RGB = 49 CV_BayerGR2BGR = 49 CV_BayerGR2BGR_VNG = 65 CV_BayerGR2RGB = 47 CV_BayerRG2BGR = 48 CV_BayerRG2BGR_VNG = 64 CV_BayerRG2RGB = 46 CV_C = 1 CV_CALIB_CB_ADAPTIVE_THRESH = 1 CV_CALIB_CB_FILTER_QUADS = 4 CV_CALIB_CB_NORMALIZE_IMAGE = 2 CV_CALIB_FIX_ASPECT_RATIO = 2 CV_CALIB_FIX_FOCAL_LENGTH = 16 CV_CALIB_FIX_INTRINSIC = 256 CV_CALIB_FIX_K1 = 32 CV_CALIB_FIX_K2 = 64 CV_CALIB_FIX_K3 = 128 CV_CALIB_FIX_PRINCIPAL_POINT = 4 CV_CALIB_SAME_FOCAL_LENGTH = 512 CV_CALIB_USE_INTRINSIC_GUESS = 1 CV_CALIB_ZERO_DISPARITY = 1024 CV_CALIB_ZERO_TANGENT_DIST = 8 CV_CANNY_L2_GRADIENT = -2147483648 CV_CAP_OPENNI = 900 CV_CAP_OPENNI_BGR_IMAGE = 5 CV_CAP_OPENNI_DEPTH_GENERATOR = -2147483648 CV_CAP_OPENNI_DEPTH_GENERATOR_BASELINE = -2147483546 CV_CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH = -2147483545 CV_CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION = -2147483544 CV_CAP_OPENNI_DEPTH_MAP = 0 CV_CAP_OPENNI_DISPARITY_MAP = 2 CV_CAP_OPENNI_DISPARITY_MAP_32F = 3 CV_CAP_OPENNI_GRAY_IMAGE = 6 CV_CAP_OPENNI_IMAGE_GENERATOR = 1073741824 CV_CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE = 1073741924 CV_CAP_OPENNI_POINT_CLOUD_MAP = 1 CV_CAP_OPENNI_SXGA_15HZ = 1 CV_CAP_OPENNI_VALID_DEPTH_MASK = 4 CV_CAP_OPENNI_VGA_30HZ = 0 CV_CAP_PROP_BRIGHTNESS = 10 CV_CAP_PROP_CONTRAST = 11 CV_CAP_PROP_CONVERT_RGB = 16 CV_CAP_PROP_EXPOSURE = 15 CV_CAP_PROP_FORMAT = 8 CV_CAP_PROP_FOURCC = 6 CV_CAP_PROP_FPS = 5 CV_CAP_PROP_FRAME_COUNT = 7 CV_CAP_PROP_FRAME_HEIGHT = 4 CV_CAP_PROP_FRAME_WIDTH = 3 CV_CAP_PROP_GAIN = 14 CV_CAP_PROP_HUE = 13 CV_CAP_PROP_MODE = 9 CV_CAP_PROP_OPENNI_BASELINE = 102 CV_CAP_PROP_OPENNI_FOCAL_LENGTH = 103 CV_CAP_PROP_OPENNI_FRAME_MAX_DEPTH = 101 CV_CAP_PROP_OPENNI_OUTPUT_MODE = 100 CV_CAP_PROP_OPENNI_REGISTRATION = 104 CV_CAP_PROP_POS_AVI_RATIO = 2 CV_CAP_PROP_POS_FRAMES = 1 CV_CAP_PROP_POS_MSEC = 0 CV_CAP_PROP_RECTIFICATION = 18 CV_CAP_PROP_SATURATION = 12 CV_CHAIN_APPROX_NONE = 1 CV_CHAIN_APPROX_SIMPLE = 2 CV_CHAIN_APPROX_TC89_KCOS = 4 CV_CHAIN_APPROX_TC89_L1 = 3 CV_CHAIN_CODE = 0 CV_CHECK_QUIET = 2 CV_CHECK_RANGE = 1 CV_CHOLESKY = 3 CV_CLOCKWISE = 1 CV_CMP_EQ = 0 CV_CMP_GE = 2 CV_CMP_GT = 1 CV_CMP_LE = 4 CV_CMP_LT = 3 CV_CMP_NE = 5 CV_CN_MAX = 512 CV_CN_SHIFT = 3 CV_COLORCVT_MAX = 135 CV_COMP_BHATTACHARYYA = 3 CV_COMP_CHISQR = 1 CV_COMP_CORREL = 0 CV_COMP_INTERSECT = 2 CV_CONTOURS_MATCH_I1 = 1 CV_CONTOURS_MATCH_I2 = 2 CV_CONTOURS_MATCH_I3 = 3 CV_COUNTER_CLOCKWISE = 2 CV_COVAR_COLS = 16 CV_COVAR_NORMAL = 1 CV_COVAR_ROWS = 8 CV_COVAR_SCALE = 4 CV_COVAR_SCRAMBLED = 0 CV_COVAR_USE_AVG = 2 CV_CVTIMG_FLIP = 1 CV_CVTIMG_SWAP_RB = 2 CV_DIFF = 16 CV_DIFF_C = 17 CV_DIFF_L1 = 18 CV_DIFF_L2 = 20 CV_DIST_C = 3 CV_DIST_FAIR = 5 CV_DIST_HUBER = 7 CV_DIST_L1 = 1 CV_DIST_L12 = 4 CV_DIST_L2 = 2 CV_DIST_MASK_3 = 3 CV_DIST_MASK_5 = 5 CV_DIST_MASK_PRECISE = 0 CV_DIST_USER = -1 CV_DIST_WELSCH = 6 CV_DXT_FORWARD = 0 CV_DXT_INVERSE = 1 CV_DXT_INVERSE_SCALE = 3 CV_DXT_INV_SCALE = 3 CV_DXT_MUL_CONJ = 8 CV_DXT_ROWS = 4 CV_DXT_SCALE = 2 CV_EVENT_FLAG_ALTKEY = 32 CV_EVENT_FLAG_CTRLKEY = 8 CV_EVENT_FLAG_LBUTTON = 1 CV_EVENT_FLAG_MBUTTON = 4 CV_EVENT_FLAG_RBUTTON = 2 CV_EVENT_FLAG_SHIFTKEY = 16 CV_EVENT_LBUTTONDBLCLK = 7 CV_EVENT_LBUTTONDOWN = 1 CV_EVENT_LBUTTONUP = 4 CV_EVENT_MBUTTONDBLCLK = 9 CV_EVENT_MBUTTONDOWN = 3 CV_EVENT_MBUTTONUP = 6 CV_EVENT_MOUSEMOVE = 0 CV_EVENT_RBUTTONDBLCLK = 8 CV_EVENT_RBUTTONDOWN = 2 CV_EVENT_RBUTTONUP = 5 CV_ErrModeLeaf = 0 CV_ErrModeParent = 1 CV_ErrModeSilent = 2 CV_FILLED = -1 CV_FLOODFILL_FIXED_RANGE = 65536 CV_FLOODFILL_MASK_ONLY = 131072 CV_FM_7POINT = 1 CV_FM_8POINT = 2 CV_FM_LMEDS = 4 CV_FM_LMEDS_ONLY = 4 CV_FM_RANSAC = 8 CV_FM_RANSAC_ONLY = 8 CV_FONT_HERSHEY_COMPLEX = 3 CV_FONT_HERSHEY_COMPLEX_SMALL = 5 CV_FONT_HERSHEY_DUPLEX = 2 CV_FONT_HERSHEY_PLAIN = 1 CV_FONT_HERSHEY_SCRIPT_COMPLEX = 7 CV_FONT_HERSHEY_SCRIPT_SIMPLEX = 6 CV_FONT_HERSHEY_SIMPLEX = 0 CV_FONT_HERSHEY_TRIPLEX = 4 CV_FONT_ITALIC = 16 CV_FONT_VECTOR0 = 0 CV_FRONT = 1 CV_GAUSSIAN = 2 CV_GAUSSIAN_5x5 = 7 CV_GEMM_A_T = 1 CV_GEMM_B_T = 2 CV_GEMM_C_T = 4 CV_GRAPH_ALL_ITEMS = -1 CV_GRAPH_ANY_EDGE = 30 CV_GRAPH_BACKTRACKING = 64 CV_GRAPH_BACK_EDGE = 4 CV_GRAPH_CROSS_EDGE = 16 CV_GRAPH_FORWARD_EDGE = 8 CV_GRAPH_FORWARD_EDGE_FLAG = 268435456 CV_GRAPH_ITEM_VISITED_FLAG = 1073741824 CV_GRAPH_NEW_TREE = 32 CV_GRAPH_OVER = -1 CV_GRAPH_SEARCH_TREE_NODE_FLAG = 536870912 CV_GRAPH_TREE_EDGE = 2 CV_GRAPH_VERTEX = 1 CV_GRAY2BGR = 8 CV_GRAY2BGR555 = 30 CV_GRAY2BGR565 = 20 CV_GRAY2BGRA = 9 CV_GRAY2RGB = 8 CV_GRAY2RGBA = 9 CV_HAAR_DO_CANNY_PRUNING = 1 CV_HAAR_DO_ROUGH_SEARCH = 8 CV_HAAR_FEATURE_MAX = 3 CV_HAAR_FIND_BIGGEST_OBJECT = 4 CV_HAAR_MAGIC_VAL = 1112539136 CV_HAAR_SCALE_IMAGE = 2 CV_HIST_ARRAY = 0 CV_HIST_SPARSE = 1 CV_HLS2BGR = 60 CV_HLS2RGB = 61 CV_HOUGH_GRADIENT = 3 CV_HOUGH_MULTI_SCALE = 2 CV_HOUGH_PROBABILISTIC = 1 CV_HOUGH_STANDARD = 0 CV_HSV2BGR = 54 CV_HSV2RGB = 55 CV_IMWRITE_JPEG_QUALITY = 1 CV_IMWRITE_PNG_COMPRESSION = 16 CV_IMWRITE_PXM_BINARY = 32 CV_INPAINT_NS = 0 CV_INPAINT_TELEA = 1 CV_INTER_AREA = 3 CV_INTER_CUBIC = 2 CV_INTER_LINEAR = 1 CV_INTER_NN = 0 CV_KMEANS_USE_INITIAL_LABELS = 1 CV_L1 = 2 CV_L2 = 4 CV_LINK_RUNS = 5 CV_LKFLOW_GET_MIN_EIGENVALS = 8 CV_LKFLOW_INITIAL_GUESSES = 4 CV_LKFLOW_PYR_A_READY = 1 CV_LKFLOW_PYR_B_READY = 2 CV_LMEDS = 4 CV_LOAD_IMAGE_COLOR = 1 CV_LOAD_IMAGE_GRAYSCALE = 0 CV_LOAD_IMAGE_UNCHANGED = -1 CV_LU = 0 CV_Lab2BGR = 56 CV_Lab2RGB = 57 CV_Luv2BGR = 58 CV_Luv2RGB = 59 CV_MAX_ARR = 10 CV_MAX_DIM = 32 CV_MAX_SOBEL_KSIZE = 7 CV_MEDIAN = 3 CV_MINMAX = 32 CV_MOP_BLACKHAT = 6 CV_MOP_CLOSE = 3 CV_MOP_GRADIENT = 4 CV_MOP_OPEN = 2 CV_MOP_TOPHAT = 5 CV_NEXT_AROUND_DST = 34 CV_NEXT_AROUND_LEFT = 19 CV_NEXT_AROUND_ORG = 0 CV_NEXT_AROUND_RIGHT = 49 CV_NORMAL = 16 CV_NORM_MASK = 7 CV_NO_CN_CHECK = 2 CV_NO_DEPTH_CHECK = 1 CV_NO_SIZE_CHECK = 4 CV_PCA_DATA_AS_COL = 1 CV_PCA_DATA_AS_ROW = 0 CV_PCA_USE_AVG = 2 CV_PI = 3.141592653589793 CV_POLY_APPROX_DP = 0 CV_PREV_AROUND_DST = 51 CV_PREV_AROUND_LEFT = 32 CV_PREV_AROUND_ORG = 17 CV_PREV_AROUND_RIGHT = 2 CV_PTLOC_INSIDE = 0 CV_PTLOC_ON_EDGE = 2 CV_PTLOC_OUTSIDE_RECT = -1 CV_PTLOC_VERTEX = 1 CV_QR = 4 CV_RAND_NORMAL = 1 CV_RAND_UNI = 0 CV_RANSAC = 8 CV_REDUCE_AVG = 1 CV_REDUCE_MAX = 2 CV_REDUCE_MIN = 3 CV_REDUCE_SUM = 0 CV_RELATIVE = 8 CV_RELATIVE_C = 9 CV_RELATIVE_L1 = 10 CV_RELATIVE_L2 = 12 CV_RETR_CCOMP = 2 CV_RETR_EXTERNAL = 0 CV_RETR_LIST = 1 CV_RETR_TREE = 3 CV_RGB2BGR = 4 CV_RGB2BGR555 = 23 CV_RGB2BGR565 = 13 CV_RGB2BGRA = 2 CV_RGB2GRAY = 7 CV_RGB2HLS = 53 CV_RGB2HSV = 41 CV_RGB2Lab = 45 CV_RGB2Luv = 51 CV_RGB2RGBA = 0 CV_RGB2XYZ = 33 CV_RGB2YCrCb = 37 CV_RGBA2BGR = 3 CV_RGBA2BGR555 = 27 CV_RGBA2BGR565 = 17 CV_RGBA2BGRA = 5 CV_RGBA2GRAY = 11 CV_RGBA2RGB = 1 CV_SCHARR = -1 CV_SHAPE_CROSS = 1 CV_SHAPE_CUSTOM = 100 CV_SHAPE_ELLIPSE = 2 CV_SHAPE_RECT = 0 CV_SORT_ASCENDING = 0 CV_SORT_DESCENDING = 16 CV_SORT_EVERY_COLUMN = 1 CV_SORT_EVERY_ROW = 0 CV_STEREO_BM_BASIC = 0 CV_STEREO_BM_FISH_EYE = 1 CV_STEREO_BM_NARROW = 2 CV_STEREO_BM_NORMALIZED_RESPONSE = 0 CV_STEREO_GC_OCCLUDED = 32767 CV_SUBDIV2D_VIRTUAL_POINT_FLAG = 1073741824 CV_SVD = 1 CV_SVD_MODIFY_A = 1 CV_SVD_SYM = 2 CV_SVD_U_T = 2 CV_SVD_V_T = 4 CV_TERMCRIT_EPS = 2 CV_TERMCRIT_ITER = 1 CV_TERMCRIT_NUMBER = 1 CV_THRESH_BINARY = 0 CV_THRESH_BINARY_INV = 1 CV_THRESH_MASK = 7 CV_THRESH_OTSU = 8 CV_THRESH_TOZERO = 3 CV_THRESH_TOZERO_INV = 4 CV_THRESH_TRUNC = 2 CV_TM_CCOEFF = 4 CV_TM_CCOEFF_NORMED = 5 CV_TM_CCORR = 2 CV_TM_CCORR_NORMED = 3 CV_TM_SQDIFF = 0 CV_TM_SQDIFF_NORMED = 1 CV_WARP_FILL_OUTLIERS = 8 CV_WARP_INVERSE_MAP = 16 CV_WINDOW_AUTOSIZE = 1 CV_WINDOW_FULLSCREEN = 1 CV_WINDOW_NORMAL = 0 CV_XYZ2BGR = 34 CV_XYZ2RGB = 35 CV_YCrCb2BGR = 38 CV_YCrCb2RGB = 39 GC_BGD = 0 GC_EVAL = 2 GC_FGD = 1 GC_INIT_WITH_MASK = 1 GC_INIT_WITH_RECT = 0 GC_PR_BGD = 2 GC_PR_FGD = 3 HG_AUTOSIZE = 1 IPL_DEPTH_16S = 2147483664L IPL_DEPTH_16U = 16L IPL_DEPTH_32F = 32L IPL_DEPTH_32S = 2147483680L IPL_DEPTH_64F = 64L IPL_DEPTH_8S = 2147483656L IPL_DEPTH_8U = 8L IPL_ORIGIN_BL = 1 IPL_ORIGIN_TL = 0 __version__ = '2.4.13.2'VERSION 2.4.13.2Process finished with exit code 0
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