made random generators of MLL classes depended on default rng (theRNG) (#205).
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@@ -95,7 +95,7 @@ CvANN_MLP::CvANN_MLP()
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layer_sizes = wbuf = 0;
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min_val = max_val = min_val1 = max_val1 = 0.;
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weights = 0;
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rng = cvRNG(-1);
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rng = &cv::theRNG();
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default_model_name = "my_nn";
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clear();
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}
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@@ -108,7 +108,7 @@ CvANN_MLP::CvANN_MLP( const CvMat* _layer_sizes,
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layer_sizes = wbuf = 0;
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min_val = max_val = min_val1 = max_val1 = 0.;
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weights = 0;
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rng = cvRNG(-1);
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rng = &cv::theRNG();
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default_model_name = "my_nn";
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create( _layer_sizes, _activ_func, _f_param1, _f_param2 );
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}
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@@ -190,7 +190,7 @@ void CvANN_MLP::init_weights()
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double s = 0;
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for( k = 0; k <= n1; k++ )
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{
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val = cvRandReal(&rng)*2-1.;
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val = rng->uniform(0., 1.)*2-1.;
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w[k*n2 + j] = val;
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s += fabs(val);
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}
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@@ -928,8 +928,8 @@ int CvANN_MLP::train_backprop( CvVectors x0, CvVectors u, const double* sw )
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for( i = 0; i < count; i++ )
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{
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int tt;
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j = (unsigned)cvRandInt(&rng) % count;
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k = (unsigned)cvRandInt(&rng) % count;
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j = (*rng)(count);
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k = (*rng)(count);
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CV_SWAP( _idx->data.i[j], _idx->data.i[k], tt );
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}
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}
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@@ -1507,7 +1507,7 @@ CvANN_MLP::CvANN_MLP( const Mat& _layer_sizes, int _activ_func,
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layer_sizes = wbuf = 0;
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min_val = max_val = min_val1 = max_val1 = 0.;
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weights = 0;
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rng = cvRNG(-1);
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rng = &cv::theRNG();
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default_model_name = "my_nn";
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create( _layer_sizes, _activ_func, _f_param1, _f_param2 );
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}
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