mirror of https://github.com/davisking/dlib.git
Added missing asserts
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@ -20,6 +20,15 @@ namespace dlib
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const matrix<T>& R
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)
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{
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DLIB_ASSERT( L.size() > 0 && R.size() > 0 && L.nr() == R.nr(),
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"\t matrix compute_correlations()"
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<< "\n\t Invalid inputs were given to this function."
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<< "\n\t L.size(): " << L.size()
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<< "\n\t R.size(): " << R.size()
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<< "\n\t L.nr(): " << L.nr()
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<< "\n\t R.nr(): " << R.nr()
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);
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matrix<T> A, B, C;
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A = diag(trans(R)*L);
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B = sqrt(diag(trans(L)*L));
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@ -89,6 +98,16 @@ namespace dlib
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unsigned long q = 2
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)
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{
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DLIB_ASSERT( num_correlations > 0 && L.size() > 0 && R.size() > 0 && L.nr() == R.nr(),
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"\t matrix cca()"
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<< "\n\t Invalid inputs were given to this function."
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<< "\n\t num_correlations: " << num_correlations
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<< "\n\t L.size(): " << L.size()
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<< "\n\t R.size(): " << R.size()
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<< "\n\t L.nr(): " << L.nr()
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<< "\n\t R.nr(): " << R.nr()
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);
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using std::min;
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const unsigned long n = min(num_correlations, (unsigned long)min(R.nr(),min(L.nc(), R.nc())));
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return impl_cca(L,R,Ltrans, Rtrans, num_correlations, extra_rank, q, n);
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@ -107,6 +126,17 @@ namespace dlib
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unsigned long q = 2
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)
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{
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DLIB_ASSERT( num_correlations > 0 && L.size() == R.size() &&
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max_index_plus_one(L) > 0 && max_index_plus_one(R) > 0,
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"\t matrix cca()"
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<< "\n\t Invalid inputs were given to this function."
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<< "\n\t num_correlations: " << num_correlations
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<< "\n\t L.size(): " << L.size()
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<< "\n\t R.size(): " << R.size()
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<< "\n\t max_index_plus_one(L): " << max_index_plus_one(L)
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<< "\n\t max_index_plus_one(R): " << max_index_plus_one(R)
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);
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using std::min;
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const unsigned long n = min(max_index_plus_one(L), max_index_plus_one(R));
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const unsigned long num_output_correlations = min(num_correlations, min(R.size(),n));
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