.

import glob
import sys
PY3 = sys.version_info[0] == 3

if PY3:
    from functools import reduce

import numpy as np
import cv2 as cv
import cv2

# built-in modules
import os
import itertools as it
from contextlib import contextmanager


samples = []
labels = []    

# Get positive samples
for filename in glob.glob(os.path.join("/redarrows", '*.jpg')):
    img = cv2.imread(filename, 1)
    hist = hog(img)
    samples.append(hist)
    labels.append(1)

# Get negative samples
for filename in glob.glob(os.path.join("/cat", '*.jpg')):
    img = cv2.imread(filename, 1)
    hist = hog(img)
    samples.append(hist)
    labels.append(0)

# Convert objects to Numpy Objects
samples = np.float32(samples)
labels = np.array(labels)

# Shuffle Samples
rand = np.random.RandomState(321)
shuffle = rand.permutation(len(samples))
samples = samples[shuffle]
labels = labels[shuffle]    

# Create SVM classifier
svm = cv2.ml.SVM_create()
svm.setType(cv2.ml.SVM_C_SVC)
svm.setKernel(cv2.ml.SVM_RBF) # cv2.ml.SVM_LINEAR
# svm.setDegree(0.0)
svm.setGamma(5.383)
# svm.setCoef0(0.0)
svm.setC(2.67)
# svm.setNu(0.0)
# svm.setP(0.0)
# svm.setClassWeights(None)


# Train
svm.train(samples, cv2.ml.ROW_SAMPLE, labels)
svm.save('svm_data.dat')

When I try to compile it, it shows me the error is python arrow.py

OpenCV Error: Bad argument (in the case of classification problem the responses must be categorical; either specify varType when creating TrainData, or pass integer responses) in train, file /build/opencv-L2vuMj/opencv-3.2.0+dfsg/modules/ml/src/svm.cpp, line 1618
Traceback (most recent call last):
  File "arrow.py", line 59, in <module>
    svm.train(samples, cv2.ml.ROW_SAMPLE, labels)
cv2.error: /build/opencv-L2vuMj/opencv-3.2.0+dfsg/modules/ml/src/svm.cpp:1618: error: (-5) in the case of classification problem the responses must be categorical; either specify varType when creating TrainData, or pass integer responses in function train

Please give me some suggestion about this. I am so confused.