random_util.cpp
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35 
37 #include <iostream>
38 
39 namespace jsk_recognition_utils
40 {
41  double randomGaussian(double mean, double var, boost::mt19937& gen)
42  {
43  if (var == 0.0) {
44  return mean;
45  }
46  else {
47  boost::normal_distribution<> dst(mean, sqrt(var));
48  boost::variate_generator<
49  boost::mt19937&,
50  boost::normal_distribution<> > rand(gen, dst);
51  return rand();
52  }
53  }
54 
55  double randomUniform(double min, double max, boost::mt19937& gen)
56  {
57  // Ensure min < max
58  double amin = std::min(min, max);
59  double amax = std::max(min, max);
60  boost::uniform_real<> dst(amin, amax);
61  boost::variate_generator<
62  boost::mt19937&,
63  boost::uniform_real<> > rand(gen, dst);
64  return rand();
65  }
66 }
double randomGaussian(double mean, double var, boost::mt19937 &gen)
Return a random value according to gaussian distribution. If variance is zero, it just returns mean...
Definition: random_util.cpp:41
INLINE Rall1d< T, V, S > sqrt(const Rall1d< T, V, S > &arg)
double randomUniform(double min, double max, boost::mt19937 &gen)
Return a random value according to uniform distribution.
Definition: random_util.cpp:55


jsk_recognition_utils
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autogenerated on Wed May 27 2020 03:59:48