improvements in Haar CascadeClassifier: 1) use CV_32S instead of CV_32F for the integral of squares (which is more accurate and more efficient); 2) skip the window if its contrast is too low
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@@ -160,7 +160,7 @@ void runHaarClassifier(
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__global const int* psum = psum1;
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#endif
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__global const float* psqsum = (__global const float*)(psum1 + sqofs);
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__global const int* psqsum = (__global const int*)(psum1 + sqofs);
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float sval = (psum[nofs.x] - psum[nofs.y] - psum[nofs.z] + psum[nofs.w])*invarea;
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float sqval = (psqsum[nofs0.x] - psqsum[nofs0.y] - psqsum[nofs0.z] + psqsum[nofs0.w])*invarea;
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float nf = (float)normarea * sqrt(max(sqval - sval * sval, 0.f));
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