Add function setRNGSeed and seed setup in python tests
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@ -2170,6 +2170,14 @@ is much faster to use this function to retrieve the generator and then use RNG::
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*/
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CV_EXPORTS RNG& theRNG();
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/** @brief Sets state of default random number generator.
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The function sets state of default random number generator to custom value.
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@param new state for default random number generator
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@sa RNG, randu, randn
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*/
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CV_EXPORTS_W void setRNGSeed(int seed);
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/** @brief Generates a single uniformly-distributed random number or an array of random numbers.
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Non-template variant of the function fills the matrix dst with uniformly-distributed
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@ -734,6 +734,12 @@ cv::RNG& cv::theRNG()
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return getCoreTlsData().get()->rng;
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}
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void cv::setRNGSeed(int seed)
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{
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getCoreTlsData().get()->rng.state = static_cast<uint64>(seed);
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}
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void cv::randu(InputOutputArray dst, InputArray low, InputArray high)
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{
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theRNG().fill(dst, RNG::UNIFORM, low, high);
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@ -42,6 +42,7 @@ class NewOpenCVTests(unittest.TestCase):
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return self.image_cache[filename]
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def setUp(self):
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cv2.setRNGSeed(10)
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self.image_cache = {}
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def hashimg(self, im):
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