fixed brocken tests by classifier loger from r9027

This commit is contained in:
Marina Kolpakova 2012-07-15 04:11:46 +00:00
parent e4e00498a8
commit 336dcbcff7
3 changed files with 69 additions and 58 deletions

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@ -97,13 +97,15 @@ void cv::gpu::CascadeClassifier_GPU_LBP::allocateBuffers(cv::Size frame)
Ncv32u bufSize; Ncv32u bufSize;
ncvSafeCall( nppiStIntegralGetSize_8u32u(roiSize, &bufSize, prop) ); ncvSafeCall( nppiStIntegralGetSize_8u32u(roiSize, &bufSize, prop) );
integralBuffer.create(1, bufSize, CV_8UC1); integralBuffer.create(1, bufSize, CV_8UC1);
}
candidates.create(1 , frame.width >> 1, CV_32SC4); candidates.create(1 , frame.width >> 1, CV_32SC4);
} }
}
bool cv::gpu::CascadeClassifier_GPU_LBP::empty() const { return stage_mat.empty(); } bool cv::gpu::CascadeClassifier_GPU_LBP::empty() const
Size cv::gpu::CascadeClassifier_GPU_LBP::getClassifierSize() const { return NxM; } {
return stage_mat.empty();
}
bool cv::gpu::CascadeClassifier_GPU_LBP::load(const string& classifierAsXml) bool cv::gpu::CascadeClassifier_GPU_LBP::load(const string& classifierAsXml)
{ {
@ -301,7 +303,6 @@ int cv::gpu::CascadeClassifier_GPU_LBP::detectMultiScale(const GpuMat& image, Gp
else else
objects.create(1 , image.cols >> 4, CV_32SC4); objects.create(1 , image.cols >> 4, CV_32SC4);
// GpuMat candidates(1 , defaultObjSearchNum, CV_32SC4);
// used for debug // used for debug
// candidates.setTo(cv::Scalar::all(0)); // candidates.setTo(cv::Scalar::all(0));
// objects.setTo(cv::Scalar::all(0)); // objects.setTo(cv::Scalar::all(0));
@ -314,7 +315,6 @@ int cv::gpu::CascadeClassifier_GPU_LBP::detectMultiScale(const GpuMat& image, Gp
GpuMat dclassified(1, 1, CV_32S); GpuMat dclassified(1, 1, CV_32S);
cudaSafeCall( cudaMemcpy(dclassified.ptr(), &classified, sizeof(int), cudaMemcpyHostToDevice) ); cudaSafeCall( cudaMemcpy(dclassified.ptr(), &classified, sizeof(int), cudaMemcpyHostToDevice) );
//int step = 2;
// cv::gpu::device::lbp::bindIntegral(integral); // cv::gpu::device::lbp::bindIntegral(integral);
Size scaledImageSize(image.cols, image.rows); Size scaledImageSize(image.cols, image.rows);

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@ -357,11 +357,15 @@ TEST_P(LBP_classify, Accuracy)
{ {
cv::Rect r = faces[i]; cv::Rect r = faces[i];
#if defined (LOG_CASCADE_STATISTIC)
std::cout << r.x << " " << r.y << " " << r.width << " " << r.height << std::endl; std::cout << r.x << " " << r.y << " " << r.width << " " << r.height << std::endl;
#endif
cv::rectangle(markedImage, r , CV_RGB(255, 0, 0)); cv::rectangle(markedImage, r , CV_RGB(255, 0, 0));
} }
#if defined (LOG_CASCADE_STATISTIC)
cv::imshow("Res", markedImage); cv::waitKey(); cv::imshow("Res", markedImage); cv::waitKey();
#endif
} }
INSTANTIATE_TEST_CASE_P(GPU_ObjDetect, LBP_classify, INSTANTIATE_TEST_CASE_P(GPU_ObjDetect, LBP_classify,

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@ -978,7 +978,10 @@ struct CascadeClassifierInvoker
double gypWeight; double gypWeight;
int result = classifier->runAt(evaluator, Point(x, y), gypWeight); int result = classifier->runAt(evaluator, Point(x, y), gypWeight);
#if defined (LOG_CASCADE_STATISTIC)
logger.setPoint(Point(x, y), result); logger.setPoint(Point(x, y), result);
#endif
if( rejectLevels ) if( rejectLevels )
{ {
if( result == 1 ) if( result == 1 )
@ -1019,8 +1022,9 @@ bool CascadeClassifier::detectSingleScale( const Mat& image, int stripCount, Siz
if( !featureEvaluator->setImage( image, data.origWinSize ) ) if( !featureEvaluator->setImage( image, data.origWinSize ) )
return false; return false;
#if defined (LOG_CASCADE_STATISTIC)
logger.setImage(image); logger.setImage(image);
#endif
Mat currentMask; Mat currentMask;
if (!maskGenerator.empty()) { if (!maskGenerator.empty()) {
@ -1044,7 +1048,10 @@ bool CascadeClassifier::detectSingleScale( const Mat& image, int stripCount, Siz
} }
candidates.insert( candidates.end(), concurrentCandidates.begin(), concurrentCandidates.end() ); candidates.insert( candidates.end(), concurrentCandidates.begin(), concurrentCandidates.end() );
#if defined (LOG_CASCADE_STATISTIC)
logger.write(); logger.write();
#endif
return true; return true;
} }