Can't input Support vectors to HogDescriptor (opencv/python)

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I want to input SVM model to cv2.HogDescriptor.

here is my code

svm = trainSVM() #load image and train cv2.ml.svm
rho, _, _ = svm.model.getDecisionFunction(0)
hog = cv2.HOGDescriptor(winSize,blockSize,blockStride,cellSize,nbins,derivAperture,winSigma,histogramNormType,L2HysThreshold,gammaCorrection,nlevels)
SV = svm.model.getSupportVectors()

To input support vector to HogDescriptor, I used 3 ways.

hog.setSVMDetector(SV)

It returns error

cv2.error: C:\projects\opencv-python\opencv\modules\core\src\matrix.cpp:2558: error: (-215) d == 2 && (sizes[0] == 1 || sizes[1] == 1 || sizes[0]*sizes[1] == 0) in function cv::_OutputArray::create

This post said that I must input -rho to end of the array

http://answers.opencv.org/question/16...

So I tried like this

SV2 = np.insert(SV, 64, h, axis = 1)
hog.setSVMDetector(SV2)

SV2 looks like 2 dimensions array

and SV2 returns the same error

cv2.error: C:\projects\opencv-python\opencv\modules\core\src\matrix.cpp:2558: error: (-215) d == 2 && (sizes[0] == 1 || sizes[1] == 1 || sizes[0]*sizes[1] == 0) in function cv::_OutputArray::create

so I make SV3 like below

SV3 = np.append(SV, -rho)
hog.setSVMDetector(SV3)

SV3 looks like 1 line array

SV3 returns no error message, but it doesn't work. when I use SV3 at Linux, It returns just one line error message.

Maybe there is something wrong with Numpy array... But I don't know what's wrong. How can I solve this problem?