diff --git a/package_bgs/ae/NPBGSubtractor.cpp b/package_bgs/ae/NPBGSubtractor.cpp
index 0f77a9a225b8ae6a1ae54f716e29575aea5dd50d..935d26ef95da261becb024d62165c2e571c9af46 100644
--- a/package_bgs/ae/NPBGSubtractor.cpp
+++ b/package_bgs/ae/NPBGSubtractor.cpp
@@ -67,7 +67,7 @@ void BGR2SnGnRn(unsigned char * in_image,
unsigned int cols)
{
unsigned int i;
- unsigned int r1,r2,r3;
+ unsigned int r2,r3;
unsigned int r,g,b;
double s;
diff --git a/package_bgs/av/TBackgroundVuMeter.cpp b/package_bgs/av/TBackgroundVuMeter.cpp
index 5aab897295cf28ba5e3bb771ba3a3ada4baaee18..5c802ce4071633edb901d07b4d4173e7d3220587 100644
--- a/package_bgs/av/TBackgroundVuMeter.cpp
+++ b/package_bgs/av/TBackgroundVuMeter.cpp
@@ -56,7 +56,7 @@ void TBackgroundVuMeter::Clear(void)
cvReleaseImage(&m_pHist[i]);
}
- delete m_pHist;
+ delete[] m_pHist;
m_pHist = NULL;
m_nBinCount = 0;
}
diff --git a/package_bgs/bl/SigmaDeltaBGS.cpp b/package_bgs/bl/SigmaDeltaBGS.cpp
index 68b74636d53f5d60d8fd4ccedc067f583fe66d60..a9c7914f427dc5cecd75b2fa6e7fa51247096d2b 100644
--- a/package_bgs/bl/SigmaDeltaBGS.cpp
+++ b/package_bgs/bl/SigmaDeltaBGS.cpp
@@ -43,7 +43,7 @@ void SigmaDeltaBGS::process(
unsigned char* tmpBuffer = (unsigned char*)img_output_tmp.data;
unsigned char* outBuffer = (unsigned char*)img_output.data;
- for (int i = 0; i < img_output.total(); ++i) {
+ for (size_t i = 0; i < img_output.total(); ++i) {
*outBuffer = *tmpBuffer;
++outBuffer;
diff --git a/package_bgs/ck/MEImage.cpp b/package_bgs/ck/MEImage.cpp
index 9693e9b359e1beebeebcd9661d59f09dfeb9509c..737383447133ee6148d6f384cd7b5ff31ed0cee3 100644
--- a/package_bgs/ck/MEImage.cpp
+++ b/package_bgs/ck/MEImage.cpp
@@ -1280,7 +1280,7 @@ int MEImage::NeighbourhoodCounter(int startx, int starty,
void MEImage::GradientVector(bool smooth, int x, int y, int mask_size, int& result_x, int& result_y)
{
int Results[8];
- int DiagonalMaskSize = (int)((float)mask_size / sqrt(2));
+ int DiagonalMaskSize = (int)((float)mask_size / sqrtf(2));
if (ME_CAST_TO_IPLIMAGE(cvImg)->nChannels > 1)
{
diff --git a/package_bgs/ck/MotionDetection.cpp b/package_bgs/ck/MotionDetection.cpp
index 7fe4b7e2653a0e4c530b9d6d0441f7edd8500b4a..e22648a0b4f7f930d1322cee1c2824b4c983d6ee 100644
--- a/package_bgs/ck/MotionDetection.cpp
+++ b/package_bgs/ck/MotionDetection.cpp
@@ -1308,7 +1308,7 @@ void MotionDetection::SetSampleMaskHU(SampleMaskType mask_type, int desiredarea)
IplImage *MaskImage = cvCreateImage(cvSize(HUHistogramArea, HUHistogramArea), 8, 1);
int DesiredArea = desiredarea <= 0 ? HUHistogramBins*2 : desiredarea;
int CalculationMask[HUHistogramArea][HUHistogramArea];
- int SquareSide = (int)MERound(sqrt(DesiredArea));
+ int SquareSide = (int)MERound(sqrtf(DesiredArea));
int CircleRadius = (int)MERound(sqrt((float)DesiredArea / ME_PI_VALUE));
int EllipseA = (int)MERound(HUHistogramArea / 2+1);
int EllipseB = (int)MERound(DesiredArea / (EllipseA*1.2*ME_PI_VALUE));
diff --git a/package_bgs/db/imbs.cpp b/package_bgs/db/imbs.cpp
index 715d699c117c4dab3c41a270d8f28791e31c8852..f5fc0d0235e3ad026c2990b04f9ce6c677ca05fd 100644
--- a/package_bgs/db/imbs.cpp
+++ b/package_bgs/db/imbs.cpp
@@ -32,8 +32,8 @@ BackgroundSubtractorIMBS::BackgroundSubtractorIMBS()
samplingPeriod = 250.;//500.ms
minBinHeight = 2;
numSamples = 10; //30
- alpha = 0.65;
- beta = 1.15;
+ alpha = 0.65f;
+ beta = 1.15f;
tau_s = 60.;
tau_h = 40.;
minArea = 30.;
@@ -106,7 +106,7 @@ void BackgroundSubtractorIMBS::initialize(Size frameSize, int frameType)
this->numPixels = frameSize.width*frameSize.height;
persistenceMap = new unsigned int[numPixels];
- for(int i = 0; i < numPixels; i++) {
+ for(unsigned int i = 0; i < numPixels; i++) {
persistenceMap[i] = 0;
}
@@ -432,7 +432,7 @@ void BackgroundSubtractorIMBS::createBg(unsigned int bg_sample_number) {
sudden_change = false;
}
- for(int i = 0; i < numPixels; i++) {
+ for(unsigned int i = 0; i < numPixels; i++) {
persistenceMap[i] = 0;
}
@@ -727,7 +727,7 @@ void BackgroundSubtractorIMBS::getBgModel(BgModel bgModel_copy[], int size) {
if(size != numPixels) {
return;
}
- for(int i = 0; i < numPixels; ++i){
+ for(unsigned int i = 0; i < numPixels; ++i){
bgModel_copy[i].values = new Vec3b[maxBgBins];
bgModel_copy[i].isValid = new bool[maxBgBins];
bgModel_copy[i].isValid[0] = false;
diff --git a/package_bgs/dp/AdaptiveMedianBGS.h b/package_bgs/dp/AdaptiveMedianBGS.h
index 3ea25af0ff3bf2c8b2956294015617347b17c672..d199b81896bae228d42d8685566502344ecbeb29 100644
--- a/package_bgs/dp/AdaptiveMedianBGS.h
+++ b/package_bgs/dp/AdaptiveMedianBGS.h
@@ -85,5 +85,5 @@ namespace Algorithms
RgbImage m_median;
};
- };
-};
+ }
+}
diff --git a/package_bgs/dp/Bgs.h b/package_bgs/dp/Bgs.h
index c1ae23c25b90d1b5795afaef2e3d96f641eaac60..5f91246e0aa87fd2a43e86d58e663998fbb56e7c 100644
--- a/package_bgs/dp/Bgs.h
+++ b/package_bgs/dp/Bgs.h
@@ -61,7 +61,7 @@ namespace Algorithms
// Return the current background model.
virtual RgbImage *Background() = 0;
};
- };
-};
+ }
+}
-#endif
\ No newline at end of file
+#endif
diff --git a/package_bgs/dp/BgsParams.h b/package_bgs/dp/BgsParams.h
index c3bad830f254eb6c6ba45750610abab8283fed2c..a63b1ac3cff432124bd0608c20f586f0e97eefab 100644
--- a/package_bgs/dp/BgsParams.h
+++ b/package_bgs/dp/BgsParams.h
@@ -53,7 +53,7 @@ namespace Algorithms
unsigned int m_height;
unsigned int m_size;
};
- };
-};
+ }
+}
-#endif
\ No newline at end of file
+#endif
diff --git a/package_bgs/dp/Eigenbackground.h b/package_bgs/dp/Eigenbackground.h
index b86ac92a66bfeb6b07c694f1599b61f2bdb9b5cf..721b7356e453be4903f19698de7b2b4b150578e7 100644
--- a/package_bgs/dp/Eigenbackground.h
+++ b/package_bgs/dp/Eigenbackground.h
@@ -95,7 +95,7 @@ namespace Algorithms
RgbImage m_background;
};
- };
-};
+ }
+}
-#endif
\ No newline at end of file
+#endif
diff --git a/package_bgs/dp/GrimsonGMM.h b/package_bgs/dp/GrimsonGMM.h
index 2d11a286962e37fc4467ec7decda61209f64a4c1..a177a803bbd81f8da79f0b9afbe86ff1cdd276fc 100644
--- a/package_bgs/dp/GrimsonGMM.h
+++ b/package_bgs/dp/GrimsonGMM.h
@@ -144,7 +144,7 @@ namespace Algorithms
// Current background model
RgbImage m_background;
};
- };
-};
+ }
+}
#endif
diff --git a/package_bgs/dp/MeanBGS.h b/package_bgs/dp/MeanBGS.h
index 881beb70fcdb6796aff3039f8dec8d1282c2bf86..247e09493a6af6bd954d2c6be825f31007fe5c76 100644
--- a/package_bgs/dp/MeanBGS.h
+++ b/package_bgs/dp/MeanBGS.h
@@ -89,8 +89,8 @@ namespace Algorithms
RgbImage m_background;
};
- };
-};
+ }
+}
diff --git a/package_bgs/dp/PratiMediodBGS.h b/package_bgs/dp/PratiMediodBGS.h
index 0b373d7c45f49c28b3c7c04cacfd9e222b998bef..bc8cb7fdf94a8eead4b79cdf5403ce4f0d74d8f4 100644
--- a/package_bgs/dp/PratiMediodBGS.h
+++ b/package_bgs/dp/PratiMediodBGS.h
@@ -130,8 +130,8 @@ namespace Algorithms
BwImage m_mask_high_threshold;
};
- };
-};
+ }
+}
#endif
diff --git a/package_bgs/dp/WrenGA.h b/package_bgs/dp/WrenGA.h
index d623e20557fc795dc04ea45478e6030094b16008..116c292a9adfc6f9c80313865d5b501daec8e269 100644
--- a/package_bgs/dp/WrenGA.h
+++ b/package_bgs/dp/WrenGA.h
@@ -108,8 +108,8 @@ namespace Algorithms
RgbImage m_background;
};
- };
-};
+ }
+}
#endif
diff --git a/package_bgs/dp/ZivkovicAGMM.h b/package_bgs/dp/ZivkovicAGMM.h
index c58fac424f2f6b83f51e676cc30d14038a67cd44..1cd99b0211aa31056dc4df69cb3672138eedf3ae 100644
--- a/package_bgs/dp/ZivkovicAGMM.h
+++ b/package_bgs/dp/ZivkovicAGMM.h
@@ -148,8 +148,8 @@ namespace Algorithms
//number of Gaussian components per pixel
unsigned char* m_modes_per_pixel;
};
- };
-};
+ }
+}
#endif
diff --git a/package_bgs/jmo/BlobExtraction.cpp b/package_bgs/jmo/BlobExtraction.cpp
index cd728fe34314dedda69e2bcb509fab22d97e77b3..c3d2bea679c147872f3acbd293e01bcef8c5f36a 100644
--- a/package_bgs/jmo/BlobExtraction.cpp
+++ b/package_bgs/jmo/BlobExtraction.cpp
@@ -1241,7 +1241,12 @@ namespace Blob
}
} // end Main loop
- if (ErrorFlag != 0) return false;
+ if (ErrorFlag != 0) {
+ delete[] Transition;
+ delete[] ThisRegion;
+ delete[] LastRegion;
+ return false;
+ }
// ens situem al primer pixel de la seguent fila
pImage = inputImage->imageData - 1 + startCol + (ThisRow + startRow) * inputImage->widthStep;
@@ -1362,9 +1367,9 @@ namespace Blob
//free(RegionData);
free(SubsumedRegion);
- delete Transition;
- delete ThisRegion;
- delete LastRegion;
+ delete[] Transition;
+ delete[] ThisRegion;
+ delete[] LastRegion;
if (imatgePerimetreExtern) cvReleaseImage(&imatgePerimetreExtern);
diff --git a/package_bgs/jmo/MultiLayerBGS.cpp b/package_bgs/jmo/MultiLayerBGS.cpp
index 38ba6451a6d76cc154cfb0ca5ffb9215a6b3f888..46b4489ab4e09f7fb1b2b0afc0e6fad44ca0c508 100644
--- a/package_bgs/jmo/MultiLayerBGS.cpp
+++ b/package_bgs/jmo/MultiLayerBGS.cpp
@@ -115,17 +115,17 @@ void MultiLayerBGS::process(const cv::Mat &img_input, cv::Mat &img_output, cv::M
max_mode_num = 5;
weight_updating_constant = 5.0;
texture_weight = 0.5;
- bg_mode_percent = 0.6;
+ bg_mode_percent = 0.6f;
pattern_neig_half_size = 4;
- pattern_neig_gaus_sigma = 3.0;
- bg_prob_threshold = 0.2;
- bg_prob_updating_threshold = 0.2;
+ pattern_neig_gaus_sigma = 3.0f;
+ bg_prob_threshold = 0.2f;
+ bg_prob_updating_threshold = 0.2f;
robust_LBP_constant = 3;
min_noised_angle = 10.0 / 180.0 * PI; //0,01768
- shadow_rate = 0.6;
- highlight_rate = 1.2;
- bilater_filter_sigma_s = 3.0;
- bilater_filter_sigma_r = 0.1;
+ shadow_rate = 0.6f;
+ highlight_rate = 1.2f;
+ bilater_filter_sigma_s = 3.0f;
+ bilater_filter_sigma_r = 0.1f;
}
else
std::cout << "MultiLayerBGS loading config params" << std::endl;
@@ -149,7 +149,7 @@ void MultiLayerBGS::process(const cv::Mat &img_input, cv::Mat &img_output, cv::M
{
//frame_duration = 1.0 / 30.0;
//frame_duration = 1.0 / 25.0;
- frame_duration = 1.0 / 10.0;
+ frame_duration = 1.0f / 10.0f;
}
BGS->SetFrameRate(frame_duration);
@@ -160,7 +160,7 @@ void MultiLayerBGS::process(const cv::Mat &img_input, cv::Mat &img_output, cv::M
{
mode_learn_rate_per_second = 0.5;
weight_learn_rate_per_second = 0.5;
- init_mode_weight = 0.05;
+ init_mode_weight = 0.05f;
}
else
{
@@ -174,9 +174,9 @@ void MultiLayerBGS::process(const cv::Mat &img_input, cv::Mat &img_output, cv::M
{
if (loadDefaultParams)
{
- mode_learn_rate_per_second = 0.01;
- weight_learn_rate_per_second = 0.01;
- init_mode_weight = 0.001;
+ mode_learn_rate_per_second = 0.01f;
+ weight_learn_rate_per_second = 0.01f;
+ init_mode_weight = 0.001f;
}
else
{
@@ -204,9 +204,9 @@ void MultiLayerBGS::process(const cv::Mat &img_input, cv::Mat &img_output, cv::M
status = MLBGS_DETECT;
- mode_learn_rate_per_second = 0.01;
- weight_learn_rate_per_second = 0.01;
- init_mode_weight = 0.001;
+ mode_learn_rate_per_second = 0.01f;
+ weight_learn_rate_per_second = 0.01f;
+ init_mode_weight = 0.001f;
BGS->SetParameters(max_mode_num, mode_learn_rate_per_second, weight_learn_rate_per_second, init_mode_weight);
diff --git a/package_bgs/lb/BGModelFuzzyGauss.h b/package_bgs/lb/BGModelFuzzyGauss.h
index 033eaf318d260cd8bc1c2c459cb3314886c36d8e..98a92e594c4783eca28bb85aba22cb1c2f125bd7 100644
--- a/package_bgs/lb/BGModelFuzzyGauss.h
+++ b/package_bgs/lb/BGModelFuzzyGauss.h
@@ -43,11 +43,11 @@ namespace lb_library
{
namespace FuzzyGaussian
{
- const float ALPHAFUZZYGAUSS = 0.02;
- const float THRESHOLDFUZZYGAUSS = 3.5;
- const float THRESHOLDBG = 0.5;
- const float NOISEFUZZYGAUSS = 50.0;
- const float FUZZYEXP = -5.0;
+ const float ALPHAFUZZYGAUSS = 0.02f;
+ const float THRESHOLDFUZZYGAUSS = 3.5f;
+ const float THRESHOLDBG = 0.5f;
+ const float NOISEFUZZYGAUSS = 50.0f;
+ const float FUZZYEXP = -5.0f;
class BGModelFuzzyGauss : public BGModel
{
diff --git a/package_bgs/lb/BGModelSom.h b/package_bgs/lb/BGModelSom.h
index e95af11fffd5e97a18a040722d25c30cc9ec298d..dcd715819927d69ef0a3831637dea7f57264ca4e 100644
--- a/package_bgs/lb/BGModelSom.h
+++ b/package_bgs/lb/BGModelSom.h
@@ -55,7 +55,7 @@ namespace lb_library
const float EPS1 = 100.0; // model match distance during training
const float EPS2 = 20.0; // model match distance
const float C1 = 1.0; // learning rate during training
- const float C2 = 0.05; // learning rate
+ const float C2 = 0.05f; // learning rate
class BGModelSom : public BGModel
{
diff --git a/package_bgs/sjn/SJN_MultiCueBGS.cpp b/package_bgs/sjn/SJN_MultiCueBGS.cpp
index 7f5bcb0f486b8df0ee7c7a4ba995d4fb1f1c10a9..ba5392b0e3c524b03c5e7da1ffe9aa1a2c8b7274 100644
--- a/package_bgs/sjn/SJN_MultiCueBGS.cpp
+++ b/package_bgs/sjn/SJN_MultiCueBGS.cpp
@@ -31,7 +31,7 @@ SJN_MultiCueBGS::SJN_MultiCueBGS() : firstTime(true), showOutput(true)
g_iT_ModelThreshold = 1; //the threshold for texture-model based BGS. (The parameter tau_T in the paper)
g_iC_ModelThreshold = 10; //the threshold for appearance based verification. (The parameter tau_A in the paper)
- g_fLearningRate = 0.05; //the learning rate for background models. (The parameter alpha in the paper)
+ g_fLearningRate = 0.05f; //the learning rate for background models. (The parameter alpha in the paper)
g_nTextureTrainVolRange = 15; //the codebook size factor for texture models. (The parameter k in the paper)
g_nColorTrainVolRange = 20; //the codebook size factor for color models. (The parameter eta_1 in the paper)
diff --git a/package_bgs/tb/FuzzyChoquetIntegral.cpp b/package_bgs/tb/FuzzyChoquetIntegral.cpp
index f5d98a8fbd0f221087e757397a5deb49092b4abe..c97e1743e445220616a82f6de99f2d176770b6ee 100644
--- a/package_bgs/tb/FuzzyChoquetIntegral.cpp
+++ b/package_bgs/tb/FuzzyChoquetIntegral.cpp
@@ -106,14 +106,14 @@ void FuzzyChoquetIntegral::process(const cv::Mat &img_input, cv::Mat &img_output
// 3 color components
if(option == 1)
{
- fu.FuzzyMeasureG(0.4, 0.3, 0.3, measureG);
+ fu.FuzzyMeasureG(0.4f, 0.3f, 0.3f, measureG);
fu.getFuzzyIntegralChoquet(sim_texture_f1, sim_color_f3, option, measureG, integral_choquet_f1);
}
// 2 color components + 1 texture component
if(option == 2)
{
- fu.FuzzyMeasureG(0.6, 0.3, 0.1, measureG);
+ fu.FuzzyMeasureG(0.6f, 0.3f, 0.1f, measureG);
fu.getFuzzyIntegralChoquet(sim_texture_f1, sim_color_f3, option, measureG, integral_choquet_f1);
}
diff --git a/package_bgs/tb/FuzzySugenoIntegral.cpp b/package_bgs/tb/FuzzySugenoIntegral.cpp
index e311d417403b3e756aa0c93633e8195704d74b8f..859f14e91d9707d26b61c4af8d47c00e2aa55284 100644
--- a/package_bgs/tb/FuzzySugenoIntegral.cpp
+++ b/package_bgs/tb/FuzzySugenoIntegral.cpp
@@ -106,14 +106,14 @@ void FuzzySugenoIntegral::process(const cv::Mat &img_input, cv::Mat &img_output,
// 3 color components
if(option == 1)
{
- fu.FuzzyMeasureG(0.4, 0.3, 0.3, measureG);
+ fu.FuzzyMeasureG(0.4f, 0.3f, 0.3f, measureG);
fu.getFuzzyIntegralSugeno(sim_texture_f1, sim_color_f3, option, measureG, integral_sugeno_f1);
}
// 2 color components + 1 texture component
if(option == 2)
{
- fu.FuzzyMeasureG(0.6, 0.3, 0.1, measureG);
+ fu.FuzzyMeasureG(0.6f, 0.3f, 0.1f, measureG);
fu.getFuzzyIntegralSugeno(sim_texture_f1, sim_color_f3, option, measureG, integral_sugeno_f1);
}
diff --git a/package_bgs/tb/FuzzyUtils.cpp b/package_bgs/tb/FuzzyUtils.cpp
index 84d5a5092da97601ebe2608351362de7465e9206..fcb1972b3d21438c92333762b522c49a7e043800 100644
--- a/package_bgs/tb/FuzzyUtils.cpp
+++ b/package_bgs/tb/FuzzyUtils.cpp
@@ -338,7 +338,6 @@ void FuzzyUtils::getFuzzyIntegralChoquet(IplImage* H, IplImage* Delta, int n, fl
float *Integral = (float*) malloc(3*(sizeof(float)));
float* X = (float*) malloc(1*sizeof(float));
float* XiXj = (float*) malloc(1*sizeof(float));
- float* IntegralFlou1 = (float*) malloc(1*sizeof(float));
float IntegralFlou;
*Indice = 0;
@@ -508,4 +507,6 @@ void FuzzyUtils::AdaptativeSelectiveBackgroundModelUpdate(IplImage* CurrentImage
free(BGImagePixel);
free(OutputImagePixel);
free(IntegralImagePixel);
+ free(Maximum);
+ free(Minimum);
}
diff --git a/package_bgs/tb/MRF.cpp b/package_bgs/tb/MRF.cpp
index fcd3f48f41c43914b355bc350408efb8d13cbd25..cfde8af470bdfdb588d9be501639738709be254a 100644
--- a/package_bgs/tb/MRF.cpp
+++ b/package_bgs/tb/MRF.cpp
@@ -309,7 +309,6 @@ double MRF_TC::LocalEnergy2(int i, int j, int label)
void MRF_TC::ICM2()
{
int i, j;
- int r;
//double summa_deltaE = 0;
double localenergy0 = 0, localenergy1 = 0;
diff --git a/package_bgs/tb/MRF.h b/package_bgs/tb/MRF.h
index 457bbbc600c81486a7c1c60ffc7c7d664f29065c..c74589958988c2b9f38895650f651d8fdb57bbfe 100644
--- a/package_bgs/tb/MRF.h
+++ b/package_bgs/tb/MRF.h
@@ -101,7 +101,7 @@ namespace Algorithms
void ICM2();
void Metropolis2(bool mmd);
};
- };
-};
+ }
+}
-#endif
\ No newline at end of file
+#endif
diff --git a/package_bgs/tb/T2FGMM.h b/package_bgs/tb/T2FGMM.h
index a698e5a821b454c0e9d8def8aea344037cbf88dd..7d966db3b313fb073e6765c6d0f8531350bdb4c8 100644
--- a/package_bgs/tb/T2FGMM.h
+++ b/package_bgs/tb/T2FGMM.h
@@ -129,7 +129,7 @@ namespace Algorithms
// Factor control for the T2FGMM-UV
float kv;
};
- };
-};
+ }
+}
#endif
diff --git a/package_bgs/tb/T2FGMM_UM.cpp b/package_bgs/tb/T2FGMM_UM.cpp
index aaf280f3cac0f78661cceb6479162b4af0643fb3..1f92ba6fcf0c69b321878abbdeccfb1718dba2e0 100644
--- a/package_bgs/tb/T2FGMM_UM.cpp
+++ b/package_bgs/tb/T2FGMM_UM.cpp
@@ -16,7 +16,7 @@ along with BGSLibrary. If not, see <http://www.gnu.org/licenses/>.
*/
#include "T2FGMM_UM.h"
-T2FGMM_UM::T2FGMM_UM() : firstTime(true), frameNumber(0), showOutput(true), threshold(9.0), alpha(0.01), gaussians(3), km(1.5), kv(0.6)
+T2FGMM_UM::T2FGMM_UM() : firstTime(true), frameNumber(0), showOutput(true), threshold(9.0), alpha(0.01), gaussians(3), km(1.5f), kv(0.6f)
{
std::cout << "T2FGMM_UM()" << std::endl;
}
diff --git a/package_bgs/tb/T2FGMM_UV.cpp b/package_bgs/tb/T2FGMM_UV.cpp
index 6094fe30d9dce9d74672bf44b4d80384e56b1bfd..3b99dd637d85d57cae2b92f53d4856a2a3fdd738 100644
--- a/package_bgs/tb/T2FGMM_UV.cpp
+++ b/package_bgs/tb/T2FGMM_UV.cpp
@@ -16,7 +16,7 @@ along with BGSLibrary. If not, see <http://www.gnu.org/licenses/>.
*/
#include "T2FGMM_UV.h"
-T2FGMM_UV::T2FGMM_UV() : firstTime(true), frameNumber(0), showOutput(true), threshold(9.0), alpha(0.01), gaussians(3), km(1.5), kv(0.6)
+T2FGMM_UV::T2FGMM_UV() : firstTime(true), frameNumber(0), showOutput(true), threshold(9.0), alpha(0.01), gaussians(3), km(1.5f), kv(0.6f)
{
std::cout << "T2FGMM_UV()" << std::endl;
}
diff --git a/package_bgs/tb/T2FMRF.cpp b/package_bgs/tb/T2FMRF.cpp
index 945a904a9a9b9c00fd4d2db54619a2be0b35dae7..372f564fe434ec0d9010e644cf8a8f2f65d32c87 100644
--- a/package_bgs/tb/T2FMRF.cpp
+++ b/package_bgs/tb/T2FMRF.cpp
@@ -116,11 +116,11 @@ void T2FMRF::InitModel(const RgbImage& data)
for (unsigned int j = 0; j < m_params.Size(); ++j)
{
m_state[j].State = background;
- m_state[j].Ab2b = 0.7;
- m_state[j].Ab2f = 0.3;
- m_state[j].Af2b = 0.4;
- m_state[j].Af2f = 0.6;
- m_state[j].T = 0.7;
+ m_state[j].Ab2b = 0.7f;
+ m_state[j].Ab2f = 0.3f;
+ m_state[j].Af2b = 0.4f;
+ m_state[j].Af2f = 0.6f;
+ m_state[j].T = 0.7f;
}
}
diff --git a/package_bgs/tb/T2FMRF.h b/package_bgs/tb/T2FMRF.h
index e6fb4495638622431c2345a44ce0fd6bc485a595..00e464c310bfbb2f6795f22451b27aa4fe5a92ab 100644
--- a/package_bgs/tb/T2FMRF.h
+++ b/package_bgs/tb/T2FMRF.h
@@ -158,7 +158,7 @@ namespace Algorithms
// Factor control for the T2FGMM-UV
float kv;
};
- };
-};
+ }
+}
#endif
diff --git a/package_bgs/tb/T2FMRF_UM.cpp b/package_bgs/tb/T2FMRF_UM.cpp
index cf7b5d84f2539787d04874bee6bff458d2caf4bb..439cc53af1adbedc5bb51ff595d997af6a88a6db 100644
--- a/package_bgs/tb/T2FMRF_UM.cpp
+++ b/package_bgs/tb/T2FMRF_UM.cpp
@@ -17,7 +17,7 @@ along with BGSLibrary. If not, see <http://www.gnu.org/licenses/>.
#include "T2FMRF_UM.h"
T2FMRF_UM::T2FMRF_UM() : firstTime(true), frameNumber(0), showOutput(true), threshold(9.0), alpha(0.01),
-gaussians(3), km(2), kv(0.9)
+gaussians(3), km(2.f), kv(0.9f)
{
std::cout << "T2FMRF_UM()" << std::endl;
}
diff --git a/package_bgs/tb/T2FMRF_UV.cpp b/package_bgs/tb/T2FMRF_UV.cpp
index da9984dfae1b0887b6d0dd6972cb85146ab7176a..0ada1f7fa7488018bc268b8f59f01531529e5467 100644
--- a/package_bgs/tb/T2FMRF_UV.cpp
+++ b/package_bgs/tb/T2FMRF_UV.cpp
@@ -17,7 +17,7 @@ along with BGSLibrary. If not, see <http://www.gnu.org/licenses/>.
#include "T2FMRF_UV.h"
T2FMRF_UV::T2FMRF_UV() : firstTime(true), frameNumber(0), showOutput(true), threshold(9.0), alpha(0.01),
-gaussians(3), km(2), kv(0.9)
+gaussians(3), km(2.f), kv(0.9f)
{
std::cout << "T2FMRF_UV()" << std::endl;
}