Commit cc0a94c5 authored by Ievgen Khvedchenia's avatar Ievgen Khvedchenia

Fix "conditional expression constant" warning

parent 2162aab0
......@@ -150,8 +150,8 @@ namespace cv
impl.Compute_Descriptors(keypoints, desc);
CV_Assert((!desc.rows || desc.cols == descriptorSize()) && "Descriptor size does not match expected");
CV_Assert((!desc.rows || (desc.type() & descriptorType())) && "Descriptor type does not match expected");
CV_Assert((!desc.rows || desc.cols == descriptorSize()));
CV_Assert((!desc.rows || (desc.type() & descriptorType())));
}
void AKAZE::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
......@@ -196,7 +196,7 @@ namespace cv
impl.Create_Nonlinear_Scale_Space(img1_32);
impl.Compute_Descriptors(keypoints, desc);
CV_Assert((!desc.rows || desc.cols == descriptorSize()) && "Descriptor size does not match expected");
CV_Assert((!desc.rows || (desc.type() & descriptorType())) && "Descriptor type does not match expected");
CV_Assert((!desc.rows || desc.cols == descriptorSize()));
CV_Assert((!desc.rows || (desc.type() & descriptorType())));
}
}
\ No newline at end of file
......@@ -119,8 +119,8 @@ namespace cv
impl.Feature_Description(keypoints, desc);
CV_Assert((!desc.rows || desc.cols == descriptorSize()) && "Descriptor size does not match expected");
CV_Assert((!desc.rows || (desc.type() & descriptorType())) && "Descriptor type does not match expected");
CV_Assert((!desc.rows || desc.cols == descriptorSize()));
CV_Assert((!desc.rows || (desc.type() & descriptorType())));
}
void KAZE::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
......@@ -167,7 +167,7 @@ namespace cv
impl.Create_Nonlinear_Scale_Space(img1_32);
impl.Feature_Description(keypoints, desc);
CV_Assert((!desc.rows || desc.cols == descriptorSize()) && "Descriptor size does not match expected");
CV_Assert((!desc.rows || (desc.type() & descriptorType())) && "Descriptor type does not match expected");
CV_Assert((!desc.rows || desc.cols == descriptorSize()));
CV_Assert((!desc.rows || (desc.type() & descriptorType())));
}
}
\ No newline at end of file
......@@ -51,6 +51,8 @@ KAZEFeatures::KAZEFeatures(KAZEOptions& options) {
use_fed_ = options.use_fed;
use_upright_ = options.upright;
use_extended_ = options.extended;
use_normalization = USE_CLIPPING_NORMALIZATION;
kcontrast_ = DEFAULT_KCONTRAST;
ncycles_ = 0;
reordering_ = true;
......@@ -232,9 +234,9 @@ void KAZEFeatures::Compute_KContrast(const cv::Mat &img, const float &kpercentil
// cout << "Computing Kcontrast factor." << endl;
//}
if (COMPUTE_KCONTRAST) {
//if (COMPUTE_KCONTRAST) {
kcontrast_ = compute_k_percentile(img, kpercentile, sderivatives_, KCONTRAST_NBINS, 0, 0);
}
//}
//if (verbosity_ == true) {
// cout << "kcontrast = " << kcontrast_ << endl;
......@@ -972,7 +974,7 @@ void KAZEFeatures::Get_SURF_Upright_Descriptor_64(const cv::KeyPoint &kpt, float
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -1079,7 +1081,7 @@ void KAZEFeatures::Get_SURF_Descriptor_64(const cv::KeyPoint &kpt, float *desc)
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -1211,7 +1213,7 @@ void KAZEFeatures::Get_MSURF_Upright_Descriptor_64(const cv::KeyPoint &kpt, floa
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -1344,7 +1346,7 @@ void KAZEFeatures::Get_MSURF_Descriptor_64(const cv::KeyPoint &kpt, float *desc)
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -1479,7 +1481,7 @@ void KAZEFeatures::Get_GSURF_Upright_Descriptor_64(const cv::KeyPoint &kpt, floa
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -1617,7 +1619,7 @@ void KAZEFeatures::Get_GSURF_Descriptor_64(const cv::KeyPoint &kpt, float *desc)
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
......@@ -1737,7 +1739,7 @@ void KAZEFeatures::Get_SURF_Upright_Descriptor_128(const cv::KeyPoint &kpt, floa
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -1865,7 +1867,7 @@ void KAZEFeatures::Get_SURF_Descriptor_128(const cv::KeyPoint &kpt, float *desc)
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -2021,7 +2023,7 @@ void KAZEFeatures::Get_MSURF_Upright_Descriptor_128(const cv::KeyPoint &kpt, flo
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -2182,7 +2184,7 @@ void KAZEFeatures::Get_MSURF_Descriptor_128(const cv::KeyPoint &kpt, float *desc
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -2335,7 +2337,7 @@ void KAZEFeatures::Get_GSURF_Upright_Descriptor_128(const cv::KeyPoint &kpt, flo
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......@@ -2493,7 +2495,7 @@ void KAZEFeatures::Get_GSURF_Descriptor_128(const cv::KeyPoint &kpt, float *desc
desc[i] /= len;
}
if (USE_CLIPPING_NORMALIZATION == true) {
if (use_normalization == true) {
clippingDescriptor(desc, dsize, CLIPPING_NORMALIZATION_NITER, CLIPPING_NORMALIZATION_RATIO);
}
}
......
......@@ -43,6 +43,7 @@ private:
bool use_fed_; // Set to true in case we want to use FED for the nonlinear diffusion filtering. Set false for using AOS
bool use_upright_; // Set to true in case we want to use the upright version of the descriptors
bool use_extended_; // Set to true in case we want to use the extended version of the descriptors
bool use_normalization;
// Vector of keypoint vectors for finding extrema in multiple threads
std::vector<std::vector<cv::KeyPoint> > kpts_par_;
......
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