/external/opencv3/modules/java/src/ |
H A D | objdetect+HOGDescriptor.java | 233 // C++: void detectMultiScale(Mat img, vector_Rect& foundLocations, vector_double& foundWeights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), double scale = 1.05, double finalThreshold = 2.0, bool useMeanshiftGrouping = false) 236 //javadoc: HOGDescriptor::detectMultiScale(img, foundLocations, foundWeights, hitThreshold, winStride, padding, scale, finalThreshold, useMeanshiftGrouping) 237 public void detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping) argument 241 detectMultiScale_0(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, foundWeights_mat.nativeObj, hitThreshold, winStride.width, winStride.height, padding.width, padding.height, scale, finalThreshold, useMeanshiftGrouping); 535 // C++: void detectMultiScale(Mat img, vector_Rect& foundLocations, vector_double& foundWeights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), double scale = 1.05, double finalThreshold = 2.0, bool useMeanshiftGrouping = false) 536 private static native void detectMultiScale_0(long nativeObj, long img_nativeObj, long foundLocations_mat_nativeObj, long foundWeights_mat_nativeObj, double hitThreshold, double winStride_width, double winStride_height, double padding_width, double padding_height, double scale, double finalThreshold, boolean useMeanshiftGrouping); argument
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H A D | objdetect.cpp | 882 // void detectMultiScale(Mat img, vector_Rect& foundLocations, vector_double& foundWeights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), double scale = 1.05, double finalThreshold = 2.0, bool useMeanshiftGrouping = false) 888 (JNIEnv* env, jclass , jlong self, jlong img_nativeObj, jlong foundLocations_mat_nativeObj, jlong foundWeights_mat_nativeObj, jdouble hitThreshold, jdouble winStride_width, jdouble winStride_height, jdouble padding_width, jdouble padding_height, jdouble scale, jdouble finalThreshold, jboolean useMeanshiftGrouping) 901 me->detectMultiScale( img, foundLocations, foundWeights, (double)hitThreshold, winStride, padding, (double)scale, (double)finalThreshold, (bool)useMeanshiftGrouping ); 887 Java_org_opencv_objdetect_HOGDescriptor_detectMultiScale_10(JNIEnv* env, jclass , jlong self, jlong img_nativeObj, jlong foundLocations_mat_nativeObj, jlong foundWeights_mat_nativeObj, jdouble hitThreshold, jdouble winStride_width, jdouble winStride_height, jdouble padding_width, jdouble padding_height, jdouble scale, jdouble finalThreshold, jboolean useMeanshiftGrouping) argument
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/external/deqp/modules/gles3/functional/ |
H A D | es3fFragmentOutputTests.cpp | 898 UVec4 finalThreshold; local 921 finalThreshold = select(max(formatThreshold, UVec4(deMax32(interpThreshold, outTypeThreshold))), UVec4(~0u), cmpMask); 923 isOk = tcu::floatUlpThresholdCompare(log, name.c_str(), desc.c_str(), reference, rendered, finalThreshold, tcu::COMPARE_LOG_RESULT);
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/external/opencv3/modules/objdetect/src/ |
H A D | hog.cpp | 1837 double scale0, double finalThreshold, bool useMeanshiftGrouping) const 1861 ocl_detectMultiScale(_img, foundLocations, levelScale, hitThreshold, winStride, finalThreshold, oclSvmDetector, 1882 groupRectangles_meanshift(foundLocations, foundWeights, foundScales, finalThreshold, winSize); 1884 groupRectangles(foundLocations, foundWeights, (int)finalThreshold, 0.2); 1890 double scale0, double finalThreshold, bool useMeanshiftGrouping) const 1894 padding, scale0, finalThreshold, useMeanshiftGrouping); 1834 detectMultiScale( InputArray _img, std::vector<Rect>& foundLocations, std::vector<double>& foundWeights, double hitThreshold, Size winStride, Size padding, double scale0, double finalThreshold, bool useMeanshiftGrouping) const argument 1888 detectMultiScale(InputArray img, std::vector<Rect>& foundLocations, double hitThreshold, Size winStride, Size padding, double scale0, double finalThreshold, bool useMeanshiftGrouping) const argument
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