机器学习开发环境搭建配置（ML+python+pycharm）图文教程
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 cv2
import cv2 as cv
print help(cv2)
print help(cv)cv2
Help on module cv2:
NAME
cv2
FILE
c:\programdata\anaconda2\lib\site-packages\cv2.pyd
SUBMODULES
cv
CLASSES
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__ =
| 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
|
| message
FUNCTIONS
ANN_MLP(...)
ANN_MLP([layerSizes[, activateFunc[, fparam1[, fparam2]]]]) ->
Algorithm__create(...)
Algorithm__create(name) -> retval
Algorithm_getList(...)
Algorithm_getList() -> algorithms
BFMatcher(...)
BFMatcher([, normType[, crossCheck]]) ->
BOWImgDescriptorExtractor(...)
BOWImgDescriptorExtractor(dextractor, dmatcher) ->
BOWKMeansTrainer(...)
BOWKMeansTrainer(clusterCount[, termcrit[, attempts[, flags]]]) ->
BRISK(...)
BRISK([, thresh[, octaves[, patternScale]]]) -> or BRISK(radiusList, numberList[, dMax[, dMin[, indexChange]]]) ->
BackgroundSubtractorMOG(...)
BackgroundSubtractorMOG([history, nmixtures, backgroundRatio[, noiseSigma]]) ->
BackgroundSubtractorMOG2(...)
BackgroundSubtractorMOG2([history, varThreshold[, bShadowDetection]]) ->
Boost(...)
Boost([trainData, tflag, responses[, varIdx[, sampleIdx[, varType[, missingDataMask[, params]]]]]]) ->
CamShift(...)
CamShift(probImage, window, criteria) -> retval, window
Canny(...)
Canny(image, threshold1, threshold2[, edges[, apertureSize[, L2gradient]]]) -> edges
CascadeClassifier(...)
CascadeClassifier([filename]) ->
DMatch(...)
DMatch() -> or DMatch(_queryIdx, _trainIdx, _distance) -> or DMatch(_queryIdx, _trainIdx, _imgIdx, _distance) ->
DTree(...)
DTree() ->
DescriptorExtractor_create(...)
DescriptorExtractor_create(descriptorExtractorType) -> retval
DescriptorMatcher_create(...)
DescriptorMatcher_create(descriptorMatcherType) -> retval
EM(...)
EM([, nclusters[, covMatType[, termCrit]]]) ->
ERTrees(...)
ERTrees() ->
FastFeatureDetector(...)
FastFeatureDetector([, threshold[, nonmaxSuppression]]) ->
Feature2D_create(...)
Feature2D_create(name) -> retval
FeatureDetector_create(...)
FeatureDetector_create(detectorType) -> retval
FileNode(...)
FileNode() ->
FileStorage(...)
FileStorage([source, flags[, encoding]]) ->
FlannBasedMatcher(...)
FlannBasedMatcher([, indexParams[, searchParams]]) ->
GBTrees(...)
GBTrees([trainData, tflag, responses[, varIdx[, sampleIdx[, varType[, missingDataMask[, params]]]]]]) ->
GFTTDetector(...)
GFTTDetector([, maxCorners[, qualityLevel[, minDistance[, blockSize[, useHarrisDetector[, k]]]]]]) ->
GaussianBlur(...)
GaussianBlur(src, ksize, sigmaX[, dst[, sigmaY[, borderType]]]) -> dst
GridAdaptedFeatureDetector(...)
GridAdaptedFeatureDetector([, detector[, maxTotalKeypoints[, gridRows[, gridCols]]]]) ->
HOGDescriptor(...)
HOGDescriptor() -> or HOGDescriptor(_winSize, _blockSize, _blockStride, _cellSize, _nbins[, _derivAperture[, _winSigma[, _histogramNormType[, _L2HysThreshold[, _gammaCorrection[, _nlevels]]]]]]) -> or HOGDescriptor(filename) ->
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() -> or KDTree(points[, copyAndReorderPoints]) -> or KDTree(points, _labels[, copyAndReorderPoints]) ->
KNearest(...)
KNearest([trainData, responses[, sampleIdx[, isRegression[, max_k]]]]) ->
KalmanFilter(...)
KalmanFilter([dynamParams, measureParams[, controlParams[, type]]]) ->
KeyPoint(...)
KeyPoint([x, y, _size[, _angle[, _response[, _octave[, _class_id]]]]]) ->
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]]]]]]]]]) ->
Mahalanobis(...)
Mahalanobis(v1, v2, icovar) -> retval
NormalBayesClassifier(...)
NormalBayesClassifier([trainData, responses[, varIdx[, sampleIdx]]]) ->
ORB(...)
ORB([, nfeatures[, scaleFactor[, nlevels[, edgeThreshold[, firstLevel[, WTA_K[, scoreType[, patchSize]]]]]]]]) ->
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]) ->
RQDecomp3x3(...)
RQDecomp3x3(src[, mtxR[, mtxQ[, Qx[, Qy[, Qz]]]]]) -> retval, mtxR, mtxQ, Qx, Qy, Qz
RTrees(...)
RTrees() ->
Rodrigues(...)
Rodrigues(src[, dst[, jacobian]]) -> dst, jacobian
SIFT(...)
SIFT([, nfeatures[, nOctaveLayers[, contrastThreshold[, edgeThreshold[, sigma]]]]]) ->
SURF(...)
SURF([hessianThreshold[, nOctaves[, nOctaveLayers[, extended[, upright]]]]]) ->
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]]]]) ->
Scharr(...)
Scharr(src, ddepth, dx, dy[, dst[, scale[, delta[, borderType]]]]) -> dst
SimpleBlobDetector(...)
SimpleBlobDetector([, parameters]) ->
SimpleBlobDetector_Params(...)
SimpleBlobDetector_Params() ->
Sobel(...)
Sobel(src, ddepth, dx, dy[, dst[, ksize[, scale[, delta[, borderType]]]]]) -> dst
StarDetector(...)
StarDetector([, _maxSize[, _responseThreshold[, _lineThresholdProjected[, _lineThresholdBinarized[, _suppressNonmaxSize]]]]]) ->
StereoBM(...)
StereoBM([preset[, ndisparities[, SADWindowSize]]]) ->
StereoSGBM(...)
StereoSGBM([minDisparity, numDisparities, SADWindowSize[, P1[, P2[, disp12MaxDiff[, preFilterCap[, uniquenessRatio[, speckleWindowSize[, speckleRange[, fullDP]]]]]]]]]) ->
StereoVar(...)
StereoVar([levels, pyrScale, nIt, minDisp, maxDisp, poly_n, poly_sigma, fi, lambda, penalization, cycle, flags]) ->
Subdiv2D(...)
Subdiv2D([rect]) ->
VideoCapture(...)
VideoCapture() -> or VideoCapture(filename) -> or VideoCapture(device) ->
VideoWriter(...)
VideoWriter([filename, fourcc, fps, frameSize[, isColor]]) ->
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]]) ->
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) -> None
DATA
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
2.4.13.2
Process finished with exit code 0 cv
Help on module cv2.cv in cv2:
NAME
cv2.cv
FILE
(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__ =
| 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__ =
| T.__new__(S, ...) -> a new object with type S, a subtype of T
FUNCTIONS
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
2.4.13.2
Process finished with exit code 0