cn 1807 modules/calib3d/src/calibinit.cpp int type, cn, line_type; cn 1812 modules/calib3d/src/calibinit.cpp cn = CV_MAT_CN(type); cn 1813 modules/calib3d/src/calibinit.cpp if( cn != 1 && cn != 3 && cn != 4 ) cn 1837 modules/calib3d/src/calibinit.cpp if( cn == 1 ) cn 1875 modules/calib3d/src/calibinit.cpp if( cn == 1 ) cn 1241 modules/calib3d/src/calibration.cpp int i, nimages, maxPoints = 0, ni = 0, pos, total = 0, nparams, npstep, cn; cn 1265 modules/calib3d/src/calibration.cpp cn = CV_MAT_CN(rvecs->type); cn 1268 modules/calib3d/src/calibration.cpp ((rvecs->rows != nimages || (rvecs->cols*cn != 3 && rvecs->cols*cn != 9)) && cn 1269 modules/calib3d/src/calibration.cpp (rvecs->rows != 1 || rvecs->cols != nimages || cn != 3)) ) cn 1276 modules/calib3d/src/calibration.cpp cn = CV_MAT_CN(tvecs->type); cn 1279 modules/calib3d/src/calibration.cpp ((tvecs->rows != nimages || tvecs->cols*cn != 3) && cn 1280 modules/calib3d/src/calibration.cpp (tvecs->rows != 1 || tvecs->cols != nimages || cn != 3)) ) cn 1688 modules/calib3d/src/calibration.cpp int cn = CV_MAT_CN(_imagePoints1->type); cn 1691 modules/calib3d/src/calibration.cpp ((_imagePoints1->rows == pointsTotal && _imagePoints1->cols*cn == 2) || cn 1692 modules/calib3d/src/calibration.cpp (_imagePoints1->rows == 1 && _imagePoints1->cols == pointsTotal && cn == 2)) ); cn 543 modules/calib3d/src/fisheye.cpp cv::Vec2d cn(center_mass.val); cn 549 modules/calib3d/src/fisheye.cpp cn[0] *= aspect_ratio; cn 573 modules/calib3d/src/fisheye.cpp double f1 = w * 0.5/(cn[0] - minx); cn 574 modules/calib3d/src/fisheye.cpp double f2 = w * 0.5/(maxx - cn[0]); cn 575 modules/calib3d/src/fisheye.cpp double f3 = h * 0.5 * aspect_ratio/(cn[1] - miny); cn 576 modules/calib3d/src/fisheye.cpp double f4 = h * 0.5 * aspect_ratio/(maxy - cn[1]); cn 584 modules/calib3d/src/fisheye.cpp cv::Vec2d new_f(f, f), new_c = -cn * f + Vec2d(w, h * aspect_ratio) * 0.5; cn 875 modules/calib3d/src/fundam.cpp int i, npoints = src.checkVector(3), depth = src.depth(), cn = 3; cn 880 modules/calib3d/src/fundam.cpp cn = 4; cn 884 modules/calib3d/src/fundam.cpp int dtype = CV_MAKETYPE(depth <= CV_32F ? CV_32F : CV_64F, cn-1); cn 897 modules/calib3d/src/fundam.cpp if( cn == 3 ) cn 920 modules/calib3d/src/fundam.cpp if( cn == 3 ) cn 943 modules/calib3d/src/fundam.cpp if( cn == 3 ) cn 974 modules/calib3d/src/fundam.cpp int i, npoints = src.checkVector(2), depth = src.depth(), cn = 2; cn 979 modules/calib3d/src/fundam.cpp cn = 3; cn 983 modules/calib3d/src/fundam.cpp int dtype = CV_MAKETYPE(depth <= CV_32F ? CV_32F : CV_64F, cn+1); cn 996 modules/calib3d/src/fundam.cpp if( cn == 2 ) cn 1013 modules/calib3d/src/fundam.cpp if( cn == 2 ) cn 1030 modules/calib3d/src/fundam.cpp if( cn == 2 ) cn 127 modules/calib3d/src/stereosgbm.cpp int x, c, width = img1.cols, cn = img1.channels(); cn 132 modules/calib3d/src/stereosgbm.cpp PixType *prow1 = buffer + width2*2, *prow2 = prow1 + width*cn*2; cn 136 modules/calib3d/src/stereosgbm.cpp for( c = 0; c < cn*2; c++ ) cn 145 modules/calib3d/src/stereosgbm.cpp if( cn == 1 ) cn 188 modules/calib3d/src/stereosgbm.cpp for( c = 0; c < cn*2; c++, prow1 += width, prow2 += width ) cn 190 modules/calib3d/src/stereosgbm.cpp int diff_scale = c < cn ? 0 : 2; cn 254 modules/calib3d/src/stereosgbm.cpp for( c = 0; c < cn*2; c++, prow1 += width, prow2 += width ) cn 589 modules/core/include/opencv2/core/base.hpp template<typename _Tp, int cn> class Vec; cn 241 modules/core/include/opencv2/core/cuda.hpp GpuMat reshape(int cn, int rows = 0) const; cn 386 modules/core/include/opencv2/core/cuda.hpp HostMem reshape(int cn, int rows = 0) const; cn 92 modules/core/include/opencv2/core/cuda/filters.hpp typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type; cn 123 modules/core/include/opencv2/core/cuda/filters.hpp typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type; cn 200 modules/core/include/opencv2/core/cuda/filters.hpp typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type; cn 240 modules/core/include/opencv2/core/cuda/filters.hpp typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type; cn 62 modules/core/include/opencv2/core/cuda/transform.hpp transform_detail::TransformDispatcher<VecTraits<T>::cn == 1 && VecTraits<D>::cn == 1 && ft::smart_shift != 1>::call(src, dst, op, mask, stream); cn 69 modules/core/include/opencv2/core/cuda/transform.hpp transform_detail::TransformDispatcher<VecTraits<T1>::cn == 1 && VecTraits<T2>::cn == 1 && VecTraits<D>::cn == 1 && ft::smart_shift != 1>::call(src1, src2, dst, op, mask, stream); cn 62 modules/core/include/opencv2/core/cuda/vec_math.hpp template <int cn, typename VecD> struct SatCastHelper; cn 98 modules/core/include/opencv2/core/cuda/vec_math.hpp return SatCastHelper<VecTraits<VecD>::cn, VecD>::cast(v); cn 113 modules/core/include/opencv2/core/cvdef.h #define CV_MAKETYPE(depth,cn) (CV_MAT_DEPTH(depth) + (((cn)-1) << CV_CN_SHIFT)) cn 104 modules/core/include/opencv2/core/ippasync.hpp inline void copyHppToMat(hppiMatrix* src, Mat& dst, hppAccel accel, int cn) cn 117 modules/core/include/opencv2/core/ippasync.hpp int matType = CV_MAKETYPE(toCvType(type), cn); cn 119 modules/core/include/opencv2/core/ippasync.hpp CV_Assert(width%cn == 0); cn 121 modules/core/include/opencv2/core/ippasync.hpp width /= cn; cn 141 modules/core/include/opencv2/core/ippasync.hpp inline Mat getMat(hppiMatrix* src, hppAccel accel, int cn) cn 144 modules/core/include/opencv2/core/ippasync.hpp copyHppToMat(src, dst, accel, cn); cn 171 modules/core/include/opencv2/core/ippasync.hpp int cn = src.channels(); cn 179 modules/core/include/opencv2/core/ippasync.hpp hppQueryMatrixAllocParams(accel, src.cols*cn, src.rows, htype, &pitch, &size); cn 183 modules/core/include/opencv2/core/ippasync.hpp return hppiCreateSharedMatrix(htype, src.cols*cn, src.rows, src.data, pitch, size); cn 187 modules/core/include/opencv2/core/ippasync.hpp return hppiCreateMatrix(htype, src.cols*cn, src.rows, src.data, (hpp32s)(src.step));; cn 1136 modules/core/include/opencv2/core/mat.hpp Mat reshape(int cn, int rows=0) const; cn 1139 modules/core/include/opencv2/core/mat.hpp Mat reshape(int cn, int newndims, const int* newsz) const; cn 2199 modules/core/include/opencv2/core/mat.hpp UMat reshape(int cn, int rows=0) const; cn 2200 modules/core/include/opencv2/core/mat.hpp UMat reshape(int cn, int newndims, const int* newsz) const; cn 300 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> class Vec : public Matx<_Tp, cn, 1> cn 305 modules/core/include/opencv2/core/matx.hpp channels = cn, cn 324 modules/core/include/opencv2/core/matx.hpp Vec(const Vec<_Tp, cn>& v); cn 329 modules/core/include/opencv2/core/matx.hpp Vec mul(const Vec<_Tp, cn>& v) const; cn 341 modules/core/include/opencv2/core/matx.hpp template<typename T2> operator Vec<T2, cn>() const; cn 349 modules/core/include/opencv2/core/matx.hpp Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_AddOp); cn 350 modules/core/include/opencv2/core/matx.hpp Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_SubOp); cn 351 modules/core/include/opencv2/core/matx.hpp template<typename _T2> Vec(const Matx<_Tp, cn, 1>& a, _T2 alpha, Matx_ScaleOp); cn 389 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> class DataType< Vec<_Tp, cn> > cn 392 modules/core/include/opencv2/core/matx.hpp typedef Vec<_Tp, cn> value_type; cn 393 modules/core/include/opencv2/core/matx.hpp typedef Vec<typename DataType<_Tp>::work_type, cn> work_type; cn 399 modules/core/include/opencv2/core/matx.hpp channels = cn, cn 415 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static Vec<_Tp, cn> normalize(const Vec<_Tp, cn>& v); cn 881 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 882 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec() {} cn 884 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 885 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0) cn 886 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0) {} cn 888 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 889 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1) cn 890 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1) {} cn 892 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 893 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2) cn 894 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1, v2) {} cn 896 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 897 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3) cn 898 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1, v2, v3) {} cn 900 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 901 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4) cn 902 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4) {} cn 904 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 905 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5) cn 906 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5) {} cn 908 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 909 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6) cn 910 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5, v6) {} cn 912 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 913 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7) cn 914 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5, v6, v7) {} cn 916 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 917 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8) cn 918 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5, v6, v7, v8) {} cn 920 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 921 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9) cn 922 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5, v6, v7, v8, v9) {} cn 924 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 925 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(const _Tp* values) cn 926 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(values) {} cn 928 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 929 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(const Vec<_Tp, cn>& m) cn 930 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(m.val) {} cn 932 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 933 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_AddOp op) cn 934 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(a, b, op) {} cn 936 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 937 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_SubOp op) cn 938 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(a, b, op) {} cn 940 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> template<typename _T2> inline cn 941 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(const Matx<_Tp, cn, 1>& a, _T2 alpha, Matx_ScaleOp op) cn 942 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(a, alpha, op) {} cn 944 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 945 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> Vec<_Tp, cn>::all(_Tp alpha) cn 948 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) v.val[i] = alpha; cn 952 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 953 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> Vec<_Tp, cn>::mul(const Vec<_Tp, cn>& v) const cn 955 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> w; cn 956 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) w.val[i] = saturate_cast<_Tp>(this->val[i]*v.val[i]); cn 984 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 985 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> Vec<_Tp, cn>::cross(const Vec<_Tp, cn>&) const cn 987 modules/core/include/opencv2/core/matx.hpp CV_StaticAssert(cn == 3, "for arbitrary-size vector there is no cross-product defined"); cn 988 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(); cn 1007 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> template<typename T2> inline cn 1008 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::operator Vec<T2, cn>() const cn 1010 modules/core/include/opencv2/core/matx.hpp Vec<T2, cn> v; cn 1011 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) v.val[i] = saturate_cast<T2>(this->val[i]); cn 1015 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 1016 modules/core/include/opencv2/core/matx.hpp const _Tp& Vec<_Tp, cn>::operator [](int i) const cn 1018 modules/core/include/opencv2/core/matx.hpp CV_DbgAssert( (unsigned)i < (unsigned)cn ); cn 1022 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 1023 modules/core/include/opencv2/core/matx.hpp _Tp& Vec<_Tp, cn>::operator [](int i) cn 1025 modules/core/include/opencv2/core/matx.hpp CV_DbgAssert( (unsigned)i < (unsigned)cn ); cn 1029 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 1030 modules/core/include/opencv2/core/matx.hpp const _Tp& Vec<_Tp, cn>::operator ()(int i) const cn 1032 modules/core/include/opencv2/core/matx.hpp CV_DbgAssert( (unsigned)i < (unsigned)cn ); cn 1036 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 1037 modules/core/include/opencv2/core/matx.hpp _Tp& Vec<_Tp, cn>::operator ()(int i) cn 1039 modules/core/include/opencv2/core/matx.hpp CV_DbgAssert( (unsigned)i < (unsigned)cn ); cn 1043 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 1044 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> normalize(const Vec<_Tp, cn>& v) cn 1055 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, typename _T2, int cn> static inline cn 1056 modules/core/include/opencv2/core/matx.hpp VecCommaInitializer<_Tp, cn> operator << (const Vec<_Tp, cn>& vec, _T2 val) cn 1058 modules/core/include/opencv2/core/matx.hpp VecCommaInitializer<_Tp, cn> commaInitializer((Vec<_Tp, cn>*)&vec); cn 1062 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 1063 modules/core/include/opencv2/core/matx.hpp VecCommaInitializer<_Tp, cn>::VecCommaInitializer(Vec<_Tp, cn>* _vec) cn 1064 modules/core/include/opencv2/core/matx.hpp : MatxCommaInitializer<_Tp, cn, 1>(_vec) cn 1067 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> template<typename _T2> inline cn 1068 modules/core/include/opencv2/core/matx.hpp VecCommaInitializer<_Tp, cn>& VecCommaInitializer<_Tp, cn>::operator , (_T2 value) cn 1070 modules/core/include/opencv2/core/matx.hpp CV_DbgAssert( this->idx < cn ); cn 1075 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> inline cn 1076 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> VecCommaInitializer<_Tp, cn>::operator *() const cn 1078 modules/core/include/opencv2/core/matx.hpp CV_DbgAssert( this->idx == cn ); cn 1217 modules/core/include/opencv2/core/matx.hpp template<typename _Tp1, typename _Tp2, int cn> static inline cn 1218 modules/core/include/opencv2/core/matx.hpp Vec<_Tp1, cn>& operator += (Vec<_Tp1, cn>& a, const Vec<_Tp2, cn>& b) cn 1220 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) cn 1225 modules/core/include/opencv2/core/matx.hpp template<typename _Tp1, typename _Tp2, int cn> static inline cn 1226 modules/core/include/opencv2/core/matx.hpp Vec<_Tp1, cn>& operator -= (Vec<_Tp1, cn>& a, const Vec<_Tp2, cn>& b) cn 1228 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) cn 1233 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1234 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator + (const Vec<_Tp, cn>& a, const Vec<_Tp, cn>& b) cn 1236 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, b, Matx_AddOp()); cn 1239 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1240 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator - (const Vec<_Tp, cn>& a, const Vec<_Tp, cn>& b) cn 1242 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, b, Matx_SubOp()); cn 1245 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1246 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>& operator *= (Vec<_Tp, cn>& a, int alpha) cn 1248 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) cn 1253 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1254 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>& operator *= (Vec<_Tp, cn>& a, float alpha) cn 1256 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) cn 1261 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1262 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>& operator *= (Vec<_Tp, cn>& a, double alpha) cn 1264 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) cn 1269 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1270 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>& operator /= (Vec<_Tp, cn>& a, int alpha) cn 1273 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) cn 1278 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1279 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>& operator /= (Vec<_Tp, cn>& a, float alpha) cn 1282 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) cn 1287 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1288 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>& operator /= (Vec<_Tp, cn>& a, double alpha) cn 1291 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) cn 1296 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1297 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator * (const Vec<_Tp, cn>& a, int alpha) cn 1299 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); cn 1302 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1303 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator * (int alpha, const Vec<_Tp, cn>& a) cn 1305 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); cn 1308 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1309 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator * (const Vec<_Tp, cn>& a, float alpha) cn 1311 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); cn 1314 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1315 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator * (float alpha, const Vec<_Tp, cn>& a) cn 1317 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); cn 1320 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1321 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator * (const Vec<_Tp, cn>& a, double alpha) cn 1323 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); cn 1326 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1327 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator * (double alpha, const Vec<_Tp, cn>& a) cn 1329 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); cn 1332 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1333 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator / (const Vec<_Tp, cn>& a, int alpha) cn 1335 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, 1./alpha, Matx_ScaleOp()); cn 1338 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1339 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator / (const Vec<_Tp, cn>& a, float alpha) cn 1341 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, 1.f/alpha, Matx_ScaleOp()); cn 1344 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1345 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator / (const Vec<_Tp, cn>& a, double alpha) cn 1347 modules/core/include/opencv2/core/matx.hpp return Vec<_Tp, cn>(a, 1./alpha, Matx_ScaleOp()); cn 1350 modules/core/include/opencv2/core/matx.hpp template<typename _Tp, int cn> static inline cn 1351 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn> operator - (const Vec<_Tp, cn>& a) cn 1353 modules/core/include/opencv2/core/matx.hpp Vec<_Tp,cn> t; cn 1354 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < cn; i++ ) t.val[i] = saturate_cast<_Tp>(-a.val[i]); cn 605 modules/core/include/opencv2/core/ocl.hpp CV_EXPORTS const char* convertTypeStr(int sdepth, int ddepth, int cn, char* buf); cn 664 modules/core/include/opencv2/core/ocl.hpp static bool isFormatSupported(int depth, int cn, bool norm); cn 716 modules/core/include/opencv2/core/persistence.hpp template<typename _Tp, int cn> static inline void read(const FileNode& node, Vec<_Tp, cn>& value, const Vec<_Tp, cn>& default_value) cn 719 modules/core/include/opencv2/core/persistence.hpp value = temp.size() != cn ? default_value : Vec<_Tp, cn>(&temp[0]); cn 806 modules/core/include/opencv2/core/persistence.hpp size_t cn = DataType<_Tp>::channels; cn 809 modules/core/include/opencv2/core/persistence.hpp size_t remaining1 = remaining / cn; cn 893 modules/core/include/opencv2/core/persistence.hpp template<typename _Tp, int cn> static inline cn 894 modules/core/include/opencv2/core/persistence.hpp void write(FileStorage& fs, const Vec<_Tp, cn>& v ) cn 896 modules/core/include/opencv2/core/persistence.hpp for(int i = 0; i < cn; i++) cn 959 modules/core/include/opencv2/core/persistence.hpp template<typename _Tp, int cn> static inline cn 960 modules/core/include/opencv2/core/persistence.hpp void write(FileStorage& fs, const String& name, const Vec<_Tp, cn>& v ) cn 578 modules/core/include/opencv2/core/types.hpp template<typename _Tp2, int cn> cn 579 modules/core/include/opencv2/core/types.hpp Scalar_(const Vec<_Tp2, cn>& v); cn 1948 modules/core/include/opencv2/core/types.hpp template<typename _Tp> template<typename _Tp2, int cn> inline cn 1949 modules/core/include/opencv2/core/types.hpp Scalar_<_Tp>::Scalar_(const Vec<_Tp2, cn>& v) cn 1952 modules/core/include/opencv2/core/types.hpp for( i = 0; i < (cn < 4 ? cn : 4); i++ ) cn 1135 modules/core/include/opencv2/core/types_c.h template<typename _Tp, int cn> cn 1136 modules/core/include/opencv2/core/types_c.h CvScalar(const cv::Vec<_Tp, cn>& v) cn 1139 modules/core/include/opencv2/core/types_c.h for( i = 0; i < (cn < 4 ? cn : 4); i++ ) val[i] = v.val[i]; cn 652 modules/core/misc/java/src/java/core+Mat.java public Mat reshape(int cn, int rows) cn 655 modules/core/misc/java/src/java/core+Mat.java Mat retVal = new Mat(n_reshape(nativeObj, cn, rows)); cn 661 modules/core/misc/java/src/java/core+Mat.java public Mat reshape(int cn) cn 664 modules/core/misc/java/src/java/core+Mat.java Mat retVal = new Mat(n_reshape(nativeObj, cn)); cn 1237 modules/core/misc/java/src/java/core+Mat.java private static native long n_reshape(long nativeObj, int cn, int rows); cn 1239 modules/core/misc/java/src/java/core+Mat.java private static native long n_reshape(long nativeObj, int cn); cn 60 modules/core/perf/opencl/perf_arithm.cpp const int type = get<1>(params), cn = CV_MAT_CN(type); cn 64 modules/core/perf/opencl/perf_arithm.cpp UMat src(srcSize, CV_8UC(cn)), lut(1, 256, type); cn 977 modules/core/perf/opencl/perf_arithm.cpp const int type = get<1>(params), cn = CV_MAT_CN(type); cn 981 modules/core/perf/opencl/perf_arithm.cpp UMat src(srcSize, type), dst(srcSize, CV_8UC(cn)); cn 998 modules/core/perf/opencl/perf_arithm.cpp const int type = get<1>(params), cn = CV_MAT_CN(type); cn 1008 modules/core/perf/opencl/perf_arithm.cpp srcSize.width *= cn; cn 65 modules/core/perf/opencl/perf_channels.cpp const int depth = get<1>(params), cn = get<2>(params), dtype = CV_MAKE_TYPE(depth, cn); cn 70 modules/core/perf/opencl/perf_channels.cpp vector<UMat> src(cn); cn 93 modules/core/perf/opencl/perf_channels.cpp const int depth = get<1>(params), cn = get<2>(params), type = CV_MAKE_TYPE(depth, cn); cn 95 modules/core/perf/opencl/perf_channels.cpp ASSERT_TRUE(cn == 3 || cn == 2); cn 100 modules/core/perf/opencl/perf_channels.cpp std::vector<UMat> dst(cn, UMat(srcSize, CV_MAKE_TYPE(depth, 1))); cn 103 modules/core/perf/opencl/perf_channels.cpp for (int i = 0; i < cn; ++i) cn 108 modules/core/perf/opencl/perf_channels.cpp ASSERT_EQ(cn, (int)dst.size()); cn 110 modules/core/perf/opencl/perf_channels.cpp if (cn == 2) cn 70 modules/core/perf/opencl/perf_matop.cpp cn = CV_MAT_CN(type), dtype = CV_MAKE_TYPE(ddepth, cn); cn 1410 modules/core/src/arithm.cpp int scn = (int)sc.total(), cn = CV_MAT_CN(buftype); cn 1412 modules/core/src/arithm.cpp getConvertFunc(sc.depth(), buftype)(sc.ptr(), 1, 0, 1, scbuf, 1, Size(std::min(cn, scn), 1), 0); cn 1414 modules/core/src/arithm.cpp if( scn < cn ) cn 1443 modules/core/src/arithm.cpp int cn = CV_MAT_CN(srctype); cn 1447 modules/core/src/arithm.cpp if( oclop < 0 || ((haveMask || haveScalar) && cn > 4) || cn 1452 modules/core/src/arithm.cpp int kercn = haveMask || haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst); cn 1473 modules/core/src/arithm.cpp ocl::KernelArg src1arg = ocl::KernelArg::ReadOnlyNoSize(src1, cn, kercn); cn 1474 modules/core/src/arithm.cpp ocl::KernelArg dstarg = haveMask ? ocl::KernelArg::ReadWrite(dst, cn, kercn) : cn 1475 modules/core/src/arithm.cpp ocl::KernelArg::WriteOnly(dst, cn, kercn); cn 1499 modules/core/src/arithm.cpp ocl::KernelArg src2arg = ocl::KernelArg::ReadOnlyNoSize(src2, cn, kercn); cn 1507 modules/core/src/arithm.cpp size_t globalsize[] = { src1.cols * cn / kercn, (src1.rows + rowsPerWI - 1) / rowsPerWI }; cn 1519 modules/core/src/arithm.cpp int type1 = psrc1->type(), depth1 = CV_MAT_DEPTH(type1), cn = CV_MAT_CN(type1); cn 1540 modules/core/src/arithm.cpp cn = (int)CV_ELEM_SIZE(type1); cn 1547 modules/core/src/arithm.cpp size_t len = sz.width*(size_t)cn; cn 1567 modules/core/src/arithm.cpp swap(cn, cn2); cn 1613 modules/core/src/arithm.cpp cn = (int)esz; cn 1626 modules/core/src/arithm.cpp if( blocksize*cn > INT_MAX ) cn 1627 modules/core/src/arithm.cpp blocksize = INT_MAX/cn; cn 1642 modules/core/src/arithm.cpp func( ptrs[0], 0, ptrs[1], 0, haveMask ? maskbuf : ptrs[2], 0, Size(bsz*cn, 1), 0 ); cn 1674 modules/core/src/arithm.cpp func( ptrs[0], 0, scbuf, 0, haveMask ? maskbuf : ptrs[1], 0, Size(bsz*cn, 1), 0 ); cn 1812 modules/core/src/arithm.cpp int type1 = _src1.type(), depth1 = CV_MAT_DEPTH(type1), cn = CV_MAT_CN(type1); cn 1815 modules/core/src/arithm.cpp if ( (haveMask || haveScalar) && cn > 4 ) cn 1822 modules/core/src/arithm.cpp wtype = CV_MAKETYPE(wdepth, cn); cn 1827 modules/core/src/arithm.cpp int kercn = haveMask || haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst); cn 1868 modules/core/src/arithm.cpp ocl::KernelArg src1arg = ocl::KernelArg::ReadOnlyNoSize(src1, cn, kercn); cn 1869 modules/core/src/arithm.cpp ocl::KernelArg dstarg = haveMask ? ocl::KernelArg::ReadWrite(dst, cn, kercn) : cn 1870 modules/core/src/arithm.cpp ocl::KernelArg::WriteOnly(dst, cn, kercn); cn 1899 modules/core/src/arithm.cpp ocl::KernelArg src2arg = ocl::KernelArg::ReadOnlyNoSize(src2, cn, kercn); cn 1920 modules/core/src/arithm.cpp size_t globalsize[] = { src1.cols * cn / kercn, (src1.rows + rowsPerWI - 1) / rowsPerWI }; cn 1934 modules/core/src/arithm.cpp int type1 = psrc1->type(), depth1 = CV_MAT_DEPTH(type1), cn = CV_MAT_CN(type1); cn 1945 modules/core/src/arithm.cpp if( (kind1 == kind2 || cn == 1) && sz1 == sz2 && dims1 <= 2 && dims2 <= 2 && type1 == type2 && cn 1964 modules/core/src/arithm.cpp if( dims1 != dims2 || sz1 != sz2 || cn != cn2 || cn 1975 modules/core/src/arithm.cpp swap(cn, cn2); cn 1994 modules/core/src/arithm.cpp depth2 = actualScalarDepth(sc.ptr<double>(), cn); cn 2037 modules/core/src/arithm.cpp dtype = CV_MAKETYPE(dtype, cn); cn 2038 modules/core/src/arithm.cpp wtype = CV_MAKETYPE(wtype, cn); cn 2101 modules/core/src/arithm.cpp Size bszn(bsz*cn, 1); cn 2166 modules/core/src/arithm.cpp Size bszn(bsz*cn, 1); cn 4893 modules/core/src/arithm.cpp int type1 = _src1.type(), depth1 = CV_MAT_DEPTH(type1), cn = CV_MAT_CN(type1), cn 4902 modules/core/src/arithm.cpp int kercn = haveScalar ? cn : ocl::predictOptimalVectorWidth(_src1, _src2, _dst), rowsPerWI = dev.isIntel() ? 4 : 1; cn 4929 modules/core/src/arithm.cpp _dst.create(size, CV_8UC(cn)); cn 4965 modules/core/src/arithm.cpp k.args(ocl::KernelArg::ReadOnlyNoSize(src1, cn, kercn), cn 4966 modules/core/src/arithm.cpp ocl::KernelArg::WriteOnly(dst, cn, kercn), scalararg); cn 4974 modules/core/src/arithm.cpp ocl::KernelArg::WriteOnly(dst, cn, kercn)); cn 4977 modules/core/src/arithm.cpp size_t globalsize[2] = { dst.cols * cn / kercn, (dst.rows + rowsPerWI - 1) / rowsPerWI }; cn 5019 modules/core/src/arithm.cpp int cn = src1.channels(); cn 5020 modules/core/src/arithm.cpp _dst.create(src1.size(), CV_8UC(cn)); cn 5027 modules/core/src/arithm.cpp int cn = src1.channels(), depth1 = src1.depth(), depth2 = src2.depth(); cn 5029 modules/core/src/arithm.cpp _dst.create(src1.dims, src1.size, CV_8UC(cn)); cn 5520 modules/core/src/arithm.cpp static void inRangeReduce(const uchar* src, uchar* dst, size_t len, int cn) cn 5522 modules/core/src/arithm.cpp int k = cn % 4 ? cn % 4 : 4; cn 5525 modules/core/src/arithm.cpp for( i = j = 0; i < len; i++, j += cn ) cn 5528 modules/core/src/arithm.cpp for( i = j = 0; i < len; i++, j += cn ) cn 5531 modules/core/src/arithm.cpp for( i = j = 0; i < len; i++, j += cn ) cn 5534 modules/core/src/arithm.cpp for( i = j = 0; i < len; i++, j += cn ) cn 5537 modules/core/src/arithm.cpp for( ; k < cn; k += 4 ) cn 5539 modules/core/src/arithm.cpp for( i = 0, j = k; i < len; i++, j += cn ) cn 5569 modules/core/src/arithm.cpp int cn = CV_MAT_CN(stype), rowsPerWI = d.isIntel() ? 4 : 1; cn 5600 modules/core/src/arithm.cpp int kercn = haveScalar ? cn : std::max(std::min(ocl::predictOptimalVectorWidth(_src, _lowerb, _upperb, _dst), 4), cn); cn 5601 modules/core/src/arithm.cpp if (kercn % cn != 0) cn 5602 modules/core/src/arithm.cpp kercn = cn; cn 5603 modules/core/src/arithm.cpp int colsPerWI = kercn / cn; cn 5605 modules/core/src/arithm.cpp haveScalar ? "-D HAVE_SCALAR " : "", cn, ocl::typeToStr(CV_MAKE_TYPE(sdepth, kercn)), cn 5625 modules/core/src/arithm.cpp AutoBuffer<uchar> _buf(blocksize*(((int)lbScalar + (int)ubScalar)*esz + cn) + 2*cn*sizeof(int) + 128); cn 5626 modules/core/src/arithm.cpp uchar *buf = alignPtr(_buf + blocksize*cn, 16); cn 5631 modules/core/src/arithm.cpp int* iubuf = ilbuf + cn; cn 5634 modules/core/src/arithm.cpp sccvtfunc(lscalar.ptr(), 1, 0, 1, (uchar*)ilbuf, 1, Size(cn, 1), 0); cn 5635 modules/core/src/arithm.cpp sccvtfunc(uscalar.ptr(), 1, 0, 1, (uchar*)iubuf, 1, Size(cn, 1), 0); cn 5638 modules/core/src/arithm.cpp for( int k = 0; k < cn; k++ ) cn 5643 modules/core/src/arithm.cpp lscalar = Mat(cn, 1, CV_32S, ilbuf); cn 5644 modules/core/src/arithm.cpp uscalar = Mat(cn, 1, CV_32S, iubuf); cn 5711 modules/core/src/arithm.cpp int cn = src.channels(), depth = src.depth(); cn 5727 modules/core/src/arithm.cpp AutoBuffer<uchar> _buf(blocksize*(((int)lbScalar + (int)ubScalar)*esz + cn) + 2*cn*sizeof(int) + 128); cn 5729 modules/core/src/arithm.cpp buf = alignPtr(buf + blocksize*cn, 16); cn 5742 modules/core/src/arithm.cpp int* iubuf = ilbuf + cn; cn 5745 modules/core/src/arithm.cpp sccvtfunc(lb.ptr(), 1, 0, 1, (uchar*)ilbuf, 1, Size(cn, 1), 0); cn 5746 modules/core/src/arithm.cpp sccvtfunc(ub.ptr(), 1, 0, 1, (uchar*)iubuf, 1, Size(cn, 1), 0); cn 5749 modules/core/src/arithm.cpp for( int k = 0; k < cn; k++ ) cn 5754 modules/core/src/arithm.cpp lb = Mat(cn, 1, CV_32S, ilbuf); cn 5755 modules/core/src/arithm.cpp ub = Mat(cn, 1, CV_32S, iubuf); cn 5780 modules/core/src/arithm.cpp func( ptrs[0], 0, lptr, 0, uptr, 0, cn == 1 ? ptrs[1] : mbuf, 0, Size(bsz*cn, 1)); cn 5781 modules/core/src/arithm.cpp if( cn > 1 ) cn 5782 modules/core/src/arithm.cpp inRangeReduce(mbuf, ptrs[1], bsz, cn); cn 1463 modules/core/src/array.cpp int cn = CV_MAT_CN( type ); cn 1467 modules/core/src/array.cpp if( (unsigned)(cn - 1) >= 4 ) cn 1473 modules/core/src/array.cpp while( cn-- ) cn 1475 modules/core/src/array.cpp int t = cvRound( scalar->val[cn] ); cn 1476 modules/core/src/array.cpp ((uchar*)data)[cn] = cv::saturate_cast<uchar>(t); cn 1480 modules/core/src/array.cpp while( cn-- ) cn 1482 modules/core/src/array.cpp int t = cvRound( scalar->val[cn] ); cn 1483 modules/core/src/array.cpp ((char*)data)[cn] = cv::saturate_cast<schar>(t); cn 1487 modules/core/src/array.cpp while( cn-- ) cn 1489 modules/core/src/array.cpp int t = cvRound( scalar->val[cn] ); cn 1490 modules/core/src/array.cpp ((ushort*)data)[cn] = cv::saturate_cast<ushort>(t); cn 1494 modules/core/src/array.cpp while( cn-- ) cn 1496 modules/core/src/array.cpp int t = cvRound( scalar->val[cn] ); cn 1497 modules/core/src/array.cpp ((short*)data)[cn] = cv::saturate_cast<short>(t); cn 1501 modules/core/src/array.cpp while( cn-- ) cn 1502 modules/core/src/array.cpp ((int*)data)[cn] = cvRound( scalar->val[cn] ); cn 1505 modules/core/src/array.cpp while( cn-- ) cn 1506 modules/core/src/array.cpp ((float*)data)[cn] = (float)(scalar->val[cn]); cn 1509 modules/core/src/array.cpp while( cn-- ) cn 1510 modules/core/src/array.cpp ((double*)data)[cn] = (double)(scalar->val[cn]); cn 1536 modules/core/src/array.cpp int cn = CV_MAT_CN( flags ); cn 1540 modules/core/src/array.cpp if( (unsigned)(cn - 1) >= 4 ) cn 1548 modules/core/src/array.cpp while( cn-- ) cn 1549 modules/core/src/array.cpp scalar->val[cn] = CV_8TO32F(((uchar*)data)[cn]); cn 1552 modules/core/src/array.cpp while( cn-- ) cn 1553 modules/core/src/array.cpp scalar->val[cn] = CV_8TO32F(((char*)data)[cn]); cn 1556 modules/core/src/array.cpp while( cn-- ) cn 1557 modules/core/src/array.cpp scalar->val[cn] = ((ushort*)data)[cn]; cn 1560 modules/core/src/array.cpp while( cn-- ) cn 1561 modules/core/src/array.cpp scalar->val[cn] = ((short*)data)[cn]; cn 1564 modules/core/src/array.cpp while( cn-- ) cn 1565 modules/core/src/array.cpp scalar->val[cn] = ((int*)data)[cn]; cn 1568 modules/core/src/array.cpp while( cn-- ) cn 1569 modules/core/src/array.cpp scalar->val[cn] = ((float*)data)[cn]; cn 1572 modules/core/src/array.cpp while( cn-- ) cn 1573 modules/core/src/array.cpp scalar->val[cn] = ((double*)data)[cn]; cn 2542 modules/core/src/array.cpp int total_width, new_rows, cn; cn 2556 modules/core/src/array.cpp cn = CV_MAT_CN( mat->type ); cn 2557 modules/core/src/array.cpp total_width = mat->cols * cn; cn 2560 modules/core/src/array.cpp new_cn = cn; cn 278 modules/core/src/convert.cpp split_( const T* src, T** dst, int len, int cn ) cn 280 modules/core/src/convert.cpp int k = cn % 4 ? cn % 4 : 4; cn 286 modules/core/src/convert.cpp if(cn == 1) cn 292 modules/core/src/convert.cpp for( i = 0, j = 0 ; i < len; i++, j += cn ) cn 302 modules/core/src/convert.cpp if(cn == 2) cn 312 modules/core/src/convert.cpp if (cn == 2) cn 325 modules/core/src/convert.cpp for( ; i < len; i++, j += cn ) cn 337 modules/core/src/convert.cpp if(cn == 3) cn 347 modules/core/src/convert.cpp if (cn == 3) cn 361 modules/core/src/convert.cpp for( ; i < len; i++, j += cn ) cn 374 modules/core/src/convert.cpp if(cn == 4) cn 384 modules/core/src/convert.cpp if (cn == 4) cn 397 modules/core/src/convert.cpp for( ; i < len; i++, j += cn ) cn 404 modules/core/src/convert.cpp for( ; k < cn; k += 4 ) cn 407 modules/core/src/convert.cpp for( i = 0, j = k; i < len; i++, j += cn ) cn 636 modules/core/src/convert.cpp merge_( const T** src, T* dst, int len, int cn ) cn 638 modules/core/src/convert.cpp int k = cn % 4 ? cn % 4 : 4; cn 643 modules/core/src/convert.cpp for( i = j = 0; i < len; i++, j += cn ) cn 651 modules/core/src/convert.cpp if(cn == 2) cn 661 modules/core/src/convert.cpp if(cn == 2) cn 672 modules/core/src/convert.cpp for( ; i < len; i++, j += cn ) cn 683 modules/core/src/convert.cpp if(cn == 3) cn 693 modules/core/src/convert.cpp if(cn == 3) cn 704 modules/core/src/convert.cpp for( ; i < len; i++, j += cn ) cn 716 modules/core/src/convert.cpp if(cn == 4) cn 726 modules/core/src/convert.cpp if(cn == 4) cn 737 modules/core/src/convert.cpp for( ; i < len; i++, j += cn ) cn 744 modules/core/src/convert.cpp for( ; k < cn; k += 4 ) cn 747 modules/core/src/convert.cpp for( i = 0, j = k; i < len; i++, j += cn ) cn 755 modules/core/src/convert.cpp static void split8u(const uchar* src, uchar** dst, int len, int cn ) cn 757 modules/core/src/convert.cpp split_(src, dst, len, cn); cn 760 modules/core/src/convert.cpp static void split16u(const ushort* src, ushort** dst, int len, int cn ) cn 762 modules/core/src/convert.cpp split_(src, dst, len, cn); cn 765 modules/core/src/convert.cpp static void split32s(const int* src, int** dst, int len, int cn ) cn 767 modules/core/src/convert.cpp split_(src, dst, len, cn); cn 770 modules/core/src/convert.cpp static void split64s(const int64* src, int64** dst, int len, int cn ) cn 772 modules/core/src/convert.cpp split_(src, dst, len, cn); cn 775 modules/core/src/convert.cpp static void merge8u(const uchar** src, uchar* dst, int len, int cn ) cn 777 modules/core/src/convert.cpp merge_(src, dst, len, cn); cn 780 modules/core/src/convert.cpp static void merge16u(const ushort** src, ushort* dst, int len, int cn ) cn 782 modules/core/src/convert.cpp merge_(src, dst, len, cn); cn 785 modules/core/src/convert.cpp static void merge32s(const int** src, int* dst, int len, int cn ) cn 787 modules/core/src/convert.cpp merge_(src, dst, len, cn); cn 790 modules/core/src/convert.cpp static void merge64s(const int64** src, int64* dst, int len, int cn ) cn 792 modules/core/src/convert.cpp merge_(src, dst, len, cn); cn 795 modules/core/src/convert.cpp typedef void (*SplitFunc)(const uchar* src, uchar** dst, int len, int cn); cn 796 modules/core/src/convert.cpp typedef void (*MergeFunc)(const uchar** src, uchar* dst, int len, int cn); cn 824 modules/core/src/convert.cpp int k, depth = src.depth(), cn = src.channels(); cn 825 modules/core/src/convert.cpp if( cn == 1 ) cn 836 modules/core/src/convert.cpp AutoBuffer<uchar> _buf((cn+1)*(sizeof(Mat*) + sizeof(uchar*)) + 16); cn 838 modules/core/src/convert.cpp uchar** ptrs = (uchar**)alignPtr(arrays + cn + 1, 16); cn 841 modules/core/src/convert.cpp for( k = 0; k < cn; k++ ) cn 847 modules/core/src/convert.cpp NAryMatIterator it(arrays, ptrs, cn+1); cn 848 modules/core/src/convert.cpp int total = (int)it.size, blocksize = cn <= 4 ? total : std::min(total, blocksize0); cn 855 modules/core/src/convert.cpp func( ptrs[0], &ptrs[1], bsz, cn ); cn 860 modules/core/src/convert.cpp for( k = 0; k < cn; k++ ) cn 873 modules/core/src/convert.cpp int type = _m.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 877 modules/core/src/convert.cpp for (int i = 0; i < cn; ++i) cn 887 modules/core/src/convert.cpp ocl::memopTypeToStr(depth), cn, dstargs.c_str(), cn 893 modules/core/src/convert.cpp _mv.create(cn, 1, depth); cn 894 modules/core/src/convert.cpp for (int i = 0; i < cn; ++i) cn 901 modules/core/src/convert.cpp for (int i = 0; i < cn; ++i) cn 928 modules/core/src/convert.cpp int depth = m.depth(), cn = m.channels(); cn 929 modules/core/src/convert.cpp _mv.create(cn, 1, depth); cn 930 modules/core/src/convert.cpp for (int i = 0; i < cn; ++i) cn 945 modules/core/src/convert.cpp int k, cn = 0; cn 952 modules/core/src/convert.cpp cn += mv[i].channels(); cn 955 modules/core/src/convert.cpp CV_Assert( 0 < cn && cn <= CV_CN_MAX ); cn 956 modules/core/src/convert.cpp _dst.create(mv[0].dims, mv[0].size, CV_MAKETYPE(depth, cn)); cn 967 modules/core/src/convert.cpp AutoBuffer<int> pairs(cn*2); cn 979 modules/core/src/convert.cpp mixChannels( mv, n, &dst, 1, &pairs[0], cn ); cn 985 modules/core/src/convert.cpp AutoBuffer<uchar> _buf((cn+1)*(sizeof(Mat*) + sizeof(uchar*)) + 16); cn 987 modules/core/src/convert.cpp uchar** ptrs = (uchar**)alignPtr(arrays + cn + 1, 16); cn 990 modules/core/src/convert.cpp for( k = 0; k < cn; k++ ) cn 993 modules/core/src/convert.cpp NAryMatIterator it(arrays, ptrs, cn+1); cn 994 modules/core/src/convert.cpp int total = (int)it.size, blocksize = cn <= 4 ? total : std::min(total, blocksize0); cn 1002 modules/core/src/convert.cpp func( (const uchar**)&ptrs[1], ptrs[0], bsz, cn ); cn 1007 modules/core/src/convert.cpp for( int t = 0; t < cn; t++ ) cn 1037 modules/core/src/convert.cpp for (int cn = 0; cn < icn; ++cn) cn 1040 modules/core/src/convert.cpp tsrc.offset += cn * esz1; cn 1254 modules/core/src/convert.cpp static void getUMatIndex(const std::vector<UMat> & um, int cn, int & idx, int & cnidx) cn 1262 modules/core/src/convert.cpp if (totalChannels == cn) cn 1268 modules/core/src/convert.cpp else if (totalChannels > cn) cn 1271 modules/core/src/convert.cpp cnidx = i == 0 ? cn : (cn - totalChannels + ccn); cn 1409 modules/core/src/convert.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 1410 modules/core/src/convert.cpp CV_Assert( 0 <= coi && coi < cn ); cn 5484 modules/core/src/convert.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 5489 modules/core/src/convert.cpp _dst.create(_src.size(), CV_8UC(cn)); cn 5523 modules/core/src/convert.cpp dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn); cn 5530 modules/core/src/convert.cpp size_t globalsize[2] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI }; cn 5544 modules/core/src/convert.cpp int cn = src.channels(); cn 5546 modules/core/src/convert.cpp _dst.create( src.dims, src.size, CV_8UC(cn) ); cn 5553 modules/core/src/convert.cpp Size sz = getContinuousSize(src, dst, cn); cn 5561 modules/core/src/convert.cpp Size sz((int)it.size*cn, 1); cn 5588 modules/core/src/convert.cpp int cn = channels(); cn 5595 modules/core/src/convert.cpp Size sz = getContinuousSize(src, dst, cn); cn 5605 modules/core/src/convert.cpp Size sz((int)(it.size*cn), 1); cn 5620 modules/core/src/convert.cpp LUT8u_( const uchar* src, const T* lut, T* dst, int len, int cn, int lutcn ) cn 5624 modules/core/src/convert.cpp for( int i = 0; i < len*cn; i++ ) cn 5629 modules/core/src/convert.cpp for( int i = 0; i < len*cn; i += cn ) cn 5630 modules/core/src/convert.cpp for( int k = 0; k < cn; k++ ) cn 5631 modules/core/src/convert.cpp dst[i+k] = lut[src[i+k]*cn+k]; cn 5635 modules/core/src/convert.cpp static void LUT8u_8u( const uchar* src, const uchar* lut, uchar* dst, int len, int cn, int lutcn ) cn 5637 modules/core/src/convert.cpp LUT8u_( src, lut, dst, len, cn, lutcn ); cn 5640 modules/core/src/convert.cpp static void LUT8u_8s( const uchar* src, const schar* lut, schar* dst, int len, int cn, int lutcn ) cn 5642 modules/core/src/convert.cpp LUT8u_( src, lut, dst, len, cn, lutcn ); cn 5645 modules/core/src/convert.cpp static void LUT8u_16u( const uchar* src, const ushort* lut, ushort* dst, int len, int cn, int lutcn ) cn 5647 modules/core/src/convert.cpp LUT8u_( src, lut, dst, len, cn, lutcn ); cn 5650 modules/core/src/convert.cpp static void LUT8u_16s( const uchar* src, const short* lut, short* dst, int len, int cn, int lutcn ) cn 5652 modules/core/src/convert.cpp LUT8u_( src, lut, dst, len, cn, lutcn ); cn 5655 modules/core/src/convert.cpp static void LUT8u_32s( const uchar* src, const int* lut, int* dst, int len, int cn, int lutcn ) cn 5657 modules/core/src/convert.cpp LUT8u_( src, lut, dst, len, cn, lutcn ); cn 5660 modules/core/src/convert.cpp static void LUT8u_32f( const uchar* src, const float* lut, float* dst, int len, int cn, int lutcn ) cn 5662 modules/core/src/convert.cpp LUT8u_( src, lut, dst, len, cn, lutcn ); cn 5665 modules/core/src/convert.cpp static void LUT8u_64f( const uchar* src, const double* lut, double* dst, int len, int cn, int lutcn ) cn 5667 modules/core/src/convert.cpp LUT8u_( src, lut, dst, len, cn, lutcn ); cn 5670 modules/core/src/convert.cpp typedef void (*LUTFunc)( const uchar* src, const uchar* lut, uchar* dst, int len, int cn, int lutcn ); cn 5892 modules/core/src/convert.cpp int cn = src.channels(); cn 5901 modules/core/src/convert.cpp func(ptrs[0], lut_.ptr(), ptrs[1], len, cn, lutcn); cn 5912 modules/core/src/convert.cpp int cn = _src.channels(), depth = _src.depth(); cn 5915 modules/core/src/convert.cpp CV_Assert( (lutcn == cn || lutcn == 1) && cn 5923 modules/core/src/convert.cpp _dst.create(src.dims, src.size, CV_MAKETYPE(_lut.depth(), cn)); cn 5976 modules/core/src/convert.cpp func(ptrs[0], lut.ptr(), ptrs[1], len, cn, lutcn); cn 5994 modules/core/src/convert.cpp int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), cn 6022 modules/core/src/convert.cpp ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn, cn 6023 modules/core/src/convert.cpp rowsPerWI, ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]), cn 6024 modules/core/src/convert.cpp ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)), cn 6093 modules/core/src/convert.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 6096 modules/core/src/convert.cpp _dst.createSameSize(_src, CV_MAKETYPE(rtype, cn)); cn 366 modules/core/src/copy.cpp int cn = channels(), mcn = mask.channels(); cn 367 modules/core/src/copy.cpp CV_Assert( mask.depth() == CV_8U && (mcn == 1 || mcn == cn) ); cn 478 modules/core/src/copy.cpp int cn = channels(), depth0 = depth(); cn 482 modules/core/src/copy.cpp (cn == 1 || cn == 3 || cn == 4)) cn 498 modules/core/src/copy.cpp if (cn == 1) cn 511 modules/core/src/copy.cpp else if (cn == 3 || cn == 4) cn 524 modules/core/src/copy.cpp if (cn == ippcn) \ cn 679 modules/core/src/copy.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 684 modules/core/src/copy.cpp kercn = cn; cn 686 modules/core/src/copy.cpp if (cn > 4) cn 698 modules/core/src/copy.cpp kercn = (cn!=3 || flipType == FLIP_ROWS) ? std::max(kercn, cn) : cn; cn 702 modules/core/src/copy.cpp kercn != cn ? ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)) : ocl::vecopTypeToStr(CV_MAKE_TYPE(depth, kercn)), cn 703 modules/core/src/copy.cpp kercn != cn ? ocl::typeToStr(depth) : ocl::vecopTypeToStr(depth), cn, pxPerWIy, kercn)); cn 711 modules/core/src/copy.cpp int cols = size.width * cn / kercn, rows = size.height; cn 716 modules/core/src/copy.cpp ocl::KernelArg::WriteOnly(dst, cn, kercn), rows, cols); cn 848 modules/core/src/copy.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 860 modules/core/src/copy.cpp k.args(ocl::KernelArg::ReadOnly(src, cn, kercn), ocl::KernelArg::WriteOnlyNoSize(dst)); cn 862 modules/core/src/copy.cpp size_t globalsize[] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI }; cn 959 modules/core/src/copy.cpp int top, int left, int cn, int borderType ) cn 965 modules/core/src/copy.cpp if( (cn | srcstep | dststep | (size_t)src | (size_t)dst) % isz == 0 ) cn 967 modules/core/src/copy.cpp cn /= isz; cn 972 modules/core/src/copy.cpp cv::AutoBuffer<int> _tab((dstroi.width - srcroi.width)*cn); cn 979 modules/core/src/copy.cpp j = cv::borderInterpolate(i - left, srcroi.width, borderType)*cn; cn 980 modules/core/src/copy.cpp for( k = 0; k < cn; k++ ) cn 981 modules/core/src/copy.cpp tab[i*cn + k] = j + k; cn 986 modules/core/src/copy.cpp j = cv::borderInterpolate(srcroi.width + i, srcroi.width, borderType)*cn; cn 987 modules/core/src/copy.cpp for( k = 0; k < cn; k++ ) cn 988 modules/core/src/copy.cpp tab[(i+left)*cn + k] = j + k; cn 991 modules/core/src/copy.cpp srcroi.width *= cn; cn 992 modules/core/src/copy.cpp dstroi.width *= cn; cn 993 modules/core/src/copy.cpp left *= cn; cn 994 modules/core/src/copy.cpp right *= cn; cn 1040 modules/core/src/copy.cpp int top, int left, int cn, const uchar* value ) cn 1043 modules/core/src/copy.cpp cv::AutoBuffer<uchar> _constBuf(dstroi.width*cn); cn 1050 modules/core/src/copy.cpp for( j = 0; j < cn; j++ ) cn 1051 modules/core/src/copy.cpp constBuf[i*cn + j] = value[j]; cn 1054 modules/core/src/copy.cpp srcroi.width *= cn; cn 1055 modules/core/src/copy.cpp dstroi.width *= cn; cn 1056 modules/core/src/copy.cpp left *= cn; cn 1057 modules/core/src/copy.cpp right *= cn; cn 1087 modules/core/src/copy.cpp int type = _src.type(), cn = CV_MAT_CN(type), depth = CV_MAT_DEPTH(type), cn 1094 modules/core/src/copy.cpp cn > 4) cn 1098 modules/core/src/copy.cpp int scalarcn = cn == 3 ? 4 : cn; cn 1102 modules/core/src/copy.cpp ocl::memopTypeToStr(depth), cn, cn 1307 modules/core/src/copy.cpp int cn = src.channels(), cn1 = cn; cn 1308 modules/core/src/copy.cpp AutoBuffer<double> buf(cn); cn 1309 modules/core/src/copy.cpp if( cn > 4 ) cn 1314 modules/core/src/copy.cpp scalarToRawData(value, buf, CV_MAKETYPE(src.depth(), cn1), cn); cn 165 modules/core/src/cuda_gpu_mat.cpp int cn = channels(); cn 167 modules/core/src/cuda_gpu_mat.cpp new_cn = cn; cn 169 modules/core/src/cuda_gpu_mat.cpp int total_width = cols * cn; cn 247 modules/core/src/cuda_host_mem.cpp int cn = channels(); cn 249 modules/core/src/cuda_host_mem.cpp new_cn = cn; cn 251 modules/core/src/cuda_host_mem.cpp int total_width = cols * cn; cn 2078 modules/core/src/dxt.cpp int type = _src.type(), cn = CV_MAT_CN(type), depth = CV_MAT_DEPTH(type); cn 2082 modules/core/src/dxt.cpp if ( !((cn == 1 || cn == 2) && (depth == CV_32F || (depth == CV_64F && doubleSupport))) ) cn 2090 modules/core/src/dxt.cpp int complex_input = cn == 2 ? 1 : 0; cn 2092 modules/core/src/dxt.cpp int real_input = cn == 1 ? 1 : 0; cn 2363 modules/core/src/dxt.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 2376 modules/core/src/dxt.cpp int dst_complex_input = cn == 2 ? 1 : 0; cn 2954 modules/core/src/dxt.cpp int depth = srcA.depth(), cn = srcA.channels(), type = srcA.type(); cn 2970 modules/core/src/dxt.cpp int ncols = cols*cn; cn 2971 modules/core/src/dxt.cpp int j0 = cn == 1; cn 2972 modules/core/src/dxt.cpp int j1 = ncols - (cols % 2 == 0 && cn == 1); cn 2984 modules/core/src/dxt.cpp if( !is_1d && cn == 1 ) cn 3018 modules/core/src/dxt.cpp if( is_1d && cn == 1 ) cn 3051 modules/core/src/dxt.cpp if( !is_1d && cn == 1 ) cn 3085 modules/core/src/dxt.cpp if( is_1d && cn == 1 ) cn 66 modules/core/src/mathfuncs.cpp int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 89 modules/core/src/mathfuncs.cpp dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn); cn 96 modules/core/src/mathfuncs.cpp size_t globalsize[] = { src1.cols * cn / kercn, (src1.rows + rowsPerWI - 1) / rowsPerWI }; cn 172 modules/core/src/mathfuncs.cpp int type = src1.type(), depth = src1.depth(), cn = src1.channels(); cn 185 modules/core/src/mathfuncs.cpp int len = (int)it.size*cn; cn 207 modules/core/src/mathfuncs.cpp int type = src1.type(), depth = src1.depth(), cn = src1.channels(); cn 222 modules/core/src/mathfuncs.cpp int j, k, total = (int)(it.size*cn), blockSize = total; cn 227 modules/core/src/mathfuncs.cpp blockSize = std::min(blockSize, ((BLOCK_SIZE+cn-1)/cn)*cn); cn 303 modules/core/src/mathfuncs.cpp int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 330 modules/core/src/mathfuncs.cpp ocl::KernelArg::WriteOnly(dst1, cn), cn 333 modules/core/src/mathfuncs.cpp size_t globalsize[2] = { dst1.cols * cn, (dst1.rows + rowsPerWI - 1) / rowsPerWI }; cn 346 modules/core/src/mathfuncs.cpp int type = X.type(), depth = X.depth(), cn = X.channels(); cn 357 modules/core/src/mathfuncs.cpp int j, k, total = (int)(it.size*cn), blockSize = std::min(total, ((BLOCK_SIZE+cn-1)/cn)*cn); cn 589 modules/core/src/mathfuncs.cpp int type = _angle.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 613 modules/core/src/mathfuncs.cpp ocl::KernelArg::WriteOnly(dst1, cn), ocl::KernelArg::WriteOnlyNoSize(dst2)); cn 615 modules/core/src/mathfuncs.cpp size_t globalsize[2] = { dst1.cols * cn, (dst1.rows + rowsPerWI - 1) / rowsPerWI }; cn 624 modules/core/src/mathfuncs.cpp int type = src2.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 648 modules/core/src/mathfuncs.cpp IppStatus status = ippFunc(Mag.ptr(), Angle.ptr(), X.ptr(), Y.ptr(), static_cast<int>(cn * X.total())); cn 664 modules/core/src/mathfuncs.cpp int j, k, total = (int)(it.size*cn), blockSize = std::min(total, ((BLOCK_SIZE+cn-1)/cn)*cn); cn 789 modules/core/src/mathfuncs.cpp int type = _src.type(), depth = _src.depth(), cn = _src.channels(); cn 802 modules/core/src/mathfuncs.cpp int len = (int)(it.size*cn); cn 856 modules/core/src/mathfuncs.cpp int type = _src.type(), depth = _src.depth(), cn = _src.channels(); cn 869 modules/core/src/mathfuncs.cpp int len = (int)(it.size*cn); cn 1294 modules/core/src/mathfuncs.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 1338 modules/core/src/mathfuncs.cpp dstarg = ocl::KernelArg::WriteOnly(dst, cn); cn 1352 modules/core/src/mathfuncs.cpp size_t globalsize[2] = { dst.cols * cn, (dst.rows + rowsPerWI - 1) / rowsPerWI }; cn 1366 modules/core/src/mathfuncs.cpp cn = CV_MAT_CN(type), ipower = cvRound(power); cn 1398 modules/core/src/mathfuncs.cpp int len = (int)(it.size*cn); cn 1419 modules/core/src/mathfuncs.cpp int j, k, blockSize = std::min(len, ((BLOCK_SIZE + cn-1)/cn)*cn); cn 1732 modules/core/src/mathfuncs.cpp int cn = a.channels(); cn 1735 modules/core/src/mathfuncs.cpp ocl::KernelArg::WriteOnly(a, cn), (float)value); cn 1737 modules/core/src/mathfuncs.cpp size_t globalsize[2] = { a.cols * cn, (a.rows + rowsPerWI - 1) / rowsPerWI }; cn 794 modules/core/src/matmul.cpp int depth = matA.depth(), cn = matA.channels(); cn 795 modules/core/src/matmul.cpp int type = CV_MAKETYPE(depth, cn); cn 822 modules/core/src/matmul.cpp int block_size = (max_wg_size / (32*cn) < 32) ? (max_wg_size / (16*cn) < 16) ? (max_wg_size / (8*cn) < 8) ? 1 : 8 : 16 : 32; cn 837 modules/core/src/matmul.cpp int vectorWidths[] = { 4, 4, 2, 2, 1, 4, cn, -1 }; cn 842 modules/core/src/matmul.cpp cn, kercn, block_size, cn 853 modules/core/src/matmul.cpp ocl::KernelArg::ReadOnlyNoSize(B, cn, kercn), cn 854 modules/core/src/matmul.cpp ocl::KernelArg::ReadWrite(D, cn, kercn), cn 858 modules/core/src/matmul.cpp ocl::KernelArg::ReadOnlyNoSize(B, cn, kercn), cn 859 modules/core/src/matmul.cpp ocl::KernelArg::ReadWrite(D, cn, kercn), cn 862 modules/core/src/matmul.cpp size_t globalsize[2] = { sizeD.width * cn / kercn, sizeD.height}; cn 1826 modules/core/src/matmul.cpp diagtransform_( const T* src, T* dst, const WT* m, int len, int cn, int ) cn 1830 modules/core/src/matmul.cpp if( cn == 2 ) cn 1839 modules/core/src/matmul.cpp else if( cn == 3 ) cn 1849 modules/core/src/matmul.cpp else if( cn == 4 ) cn 1863 modules/core/src/matmul.cpp for( x = 0; x < len; x++, src += cn, dst += cn ) cn 1866 modules/core/src/matmul.cpp for( int j = 0; j < cn; j++, _m += cn + 1 ) cn 1867 modules/core/src/matmul.cpp dst[j] = saturate_cast<T>(src[j]*_m[j] + _m[cn]); cn 2278 modules/core/src/matmul.cpp int cn = CV_MAT_CN(type), wdepth = std::max(depth, CV_32F); cn 2300 modules/core/src/matmul.cpp dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn); cn 2307 modules/core/src/matmul.cpp size_t globalsize[2] = { dst.cols * cn / kercn, (dst.rows + rowsPerWI - 1) / rowsPerWI }; cn 2317 modules/core/src/matmul.cpp int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 2342 modules/core/src/matmul.cpp size_t len = src1.total()*cn; cn 2350 modules/core/src/matmul.cpp size_t i, len = it.size*cn; cn 3242 modules/core/src/matmul.cpp int cn = channels(); cn 3248 modules/core/src/matmul.cpp size_t len = total()*cn; cn 3256 modules/core/src/matmul.cpp int len = (int)(it.size*cn); cn 958 modules/core/src/matrix.cpp int cn = channels(); cn 961 modules/core/src/matrix.cpp if( dims > 2 && new_rows == 0 && new_cn != 0 && size[dims-1]*cn % new_cn == 0 ) cn 965 modules/core/src/matrix.cpp hdr.size[dims-1] = hdr.size[dims-1]*cn / new_cn; cn 972 modules/core/src/matrix.cpp new_cn = cn; cn 974 modules/core/src/matrix.cpp int total_width = cols * cn; cn 1038 modules/core/src/matrix.cpp int i, depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 1039 modules/core/src/matrix.cpp CV_Assert(cn <= 4); cn 1045 modules/core/src/matrix.cpp for(i = 0; i < cn; i++) cn 1048 modules/core/src/matrix.cpp buf[i] = buf[i-cn]; cn 1054 modules/core/src/matrix.cpp for(i = 0; i < cn; i++) cn 1057 modules/core/src/matrix.cpp buf[i] = buf[i-cn]; cn 1063 modules/core/src/matrix.cpp for(i = 0; i < cn; i++) cn 1066 modules/core/src/matrix.cpp buf[i] = buf[i-cn]; cn 1072 modules/core/src/matrix.cpp for(i = 0; i < cn; i++) cn 1075 modules/core/src/matrix.cpp buf[i] = buf[i-cn]; cn 1081 modules/core/src/matrix.cpp for(i = 0; i < cn; i++) cn 1084 modules/core/src/matrix.cpp buf[i] = buf[i-cn]; cn 1090 modules/core/src/matrix.cpp for(i = 0; i < cn; i++) cn 1093 modules/core/src/matrix.cpp buf[i] = buf[i-cn]; cn 1099 modules/core/src/matrix.cpp for(i = 0; i < cn; i++) cn 1102 modules/core/src/matrix.cpp buf[i] = buf[i-cn]; cn 1303 modules/core/src/matrix.cpp int t = CV_MAT_DEPTH(flags), cn = CV_MAT_CN(flags); cn 1307 modules/core/src/matrix.cpp mv[i] = Mat(1, cn, t, (void*)(&v[0] + esz*i)); cn 2812 modules/core/src/matrix.cpp int type = _m.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), kercn = cn, rowsPerWI = 1; cn 2813 modules/core/src/matrix.cpp int sctype = CV_MAKE_TYPE(depth, cn == 3 ? 4 : cn); cn 2817 modules/core/src/matrix.cpp if (cn == 1) cn 2828 modules/core/src/matrix.cpp ocl::memopTypeToStr(depth), cn, cn 2835 modules/core/src/matrix.cpp k.args(ocl::KernelArg::WriteOnly(m, cn, kercn), cn 2838 modules/core/src/matrix.cpp size_t globalsize[2] = { m.cols * cn / kercn, (m.rows + rowsPerWI - 1) / rowsPerWI }; cn 3041 modules/core/src/matrix.cpp int type = _src.type(), cn = CV_MAT_CN(type), depth = CV_MAT_DEPTH(type), cn 3067 modules/core/src/matrix.cpp cn, TILE_DIM, BLOCK_ROWS, rowsPerWI, inplace ? " -D INPLACE" : "")); cn 3315 modules/core/src/matrix.cpp int i, k, cn = srcmat.channels(); cn 3316 modules/core/src/matrix.cpp size.width *= cn; cn 3323 modules/core/src/matrix.cpp if( size.width == cn ) cn 3324 modules/core/src/matrix.cpp for( k = 0; k < cn; k++ ) cn 3328 modules/core/src/matrix.cpp for( k = 0; k < cn; k++ ) cn 3330 modules/core/src/matrix.cpp WT a0 = src[k], a1 = src[k+cn]; cn 3331 modules/core/src/matrix.cpp for( i = 2*cn; i <= size.width - 4*cn; i += 4*cn ) cn 3334 modules/core/src/matrix.cpp a1 = op(a1, (WT)src[i+k+cn]); cn 3335 modules/core/src/matrix.cpp a0 = op(a0, (WT)src[i+k+cn*2]); cn 3336 modules/core/src/matrix.cpp a1 = op(a1, (WT)src[i+k+cn*3]); cn 3339 modules/core/src/matrix.cpp for( ; i < size.width; i += cn ) cn 3530 modules/core/src/matrix.cpp int sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), cn 3556 modules/core/src/matrix.cpp tileHeight = min(tileHeight, defDev.localMemSize() / buf_cols / CV_ELEM_SIZE(CV_MAKETYPE(wdepth, cn)) / maxItemInGroupCount); cn 3563 modules/core/src/matrix.cpp buf_cols, tileHeight, ops[op], cn, ddepth, cn 3596 modules/core/src/matrix.cpp ops[op], dim, cn, ddepth, ocl::typeToStr(useOptimized ? ddepth : sdepth), cn 3633 modules/core/src/matrix.cpp int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype); cn 3636 modules/core/src/matrix.cpp dtype = CV_MAKETYPE(dtype >= 0 ? dtype : stype, cn); cn 3639 modules/core/src/matrix.cpp CV_Assert( cn == CV_MAT_CN(dtype) ); cn 3655 modules/core/src/matrix.cpp temp.create(dst.rows, dst.cols, CV_32SC(cn)); cn 4573 modules/core/src/matrix.cpp convertData_(const void* _from, void* _to, int cn) cn 4577 modules/core/src/matrix.cpp if( cn == 1 ) cn 4580 modules/core/src/matrix.cpp for( int i = 0; i < cn; i++ ) cn 4585 modules/core/src/matrix.cpp convertScaleData_(const void* _from, void* _to, int cn, double alpha, double beta) cn 4589 modules/core/src/matrix.cpp if( cn == 1 ) cn 4592 modules/core/src/matrix.cpp for( int i = 0; i < cn; i++ ) cn 4596 modules/core/src/matrix.cpp typedef void (*ConvertData)(const void* from, void* to, int cn); cn 4597 modules/core/src/matrix.cpp typedef void (*ConvertScaleData)(const void* from, void* to, int cn, double alpha, double beta); cn 4836 modules/core/src/matrix.cpp int cn = channels(); cn 4839 modules/core/src/matrix.cpp rtype = CV_MAKETYPE(rtype, cn); cn 4862 modules/core/src/matrix.cpp cvtfunc( from.ptr, to, cn ); cn 4872 modules/core/src/matrix.cpp cvtfunc( from.ptr, to, cn, alpha, 0 ); cn 4880 modules/core/src/matrix.cpp int cn = channels(); cn 4883 modules/core/src/matrix.cpp rtype = CV_MAKETYPE(rtype, cn); cn 4899 modules/core/src/matrix.cpp cvtfunc( from.ptr, to, cn ); cn 4909 modules/core/src/matrix.cpp cvtfunc( from.ptr, to, cn, alpha, beta ); cn 5310 modules/core/src/ocl.cpp int cn = CV_MAT_CN(type), depth = CV_MAT_DEPTH(type); cn 5311 modules/core/src/ocl.cpp return cn > 16 ? "?" : tab[depth*16 + cn-1]; cn 5327 modules/core/src/ocl.cpp int cn = CV_MAT_CN(type), depth = CV_MAT_DEPTH(type); cn 5328 modules/core/src/ocl.cpp return cn > 16 ? "?" : tab[depth*16 + cn-1]; cn 5344 modules/core/src/ocl.cpp int cn = CV_MAT_CN(type), depth = CV_MAT_DEPTH(type); cn 5345 modules/core/src/ocl.cpp return cn > 16 ? "?" : tab[depth*16 + cn-1]; cn 5348 modules/core/src/ocl.cpp const char* convertTypeStr(int sdepth, int ddepth, int cn, char* buf) cn 5352 modules/core/src/ocl.cpp const char *typestr = typeToStr(CV_MAKETYPE(ddepth, cn)); cn 5543 modules/core/src/ocl.cpp static cl_image_format getImageFormat(int depth, int cn, bool norm) cn 5553 modules/core/src/ocl.cpp int channelOrder = channelOrders[cn]; cn 5593 modules/core/src/ocl.cpp int err, depth = src.depth(), cn = src.channels(); cn 5594 modules/core/src/ocl.cpp CV_Assert(cn <= 4); cn 5595 modules/core/src/ocl.cpp cl_image_format format = getImageFormat(depth, cn, norm); cn 5704 modules/core/src/ocl.cpp bool Image2D::isFormatSupported(int depth, int cn, bool norm) cn 5706 modules/core/src/ocl.cpp cl_image_format format = Impl::getImageFormat(depth, cn, norm); cn 996 modules/core/src/opengl.cpp const int cn = CV_MAT_CN(atype); cn 999 modules/core/src/opengl.cpp CV_Assert( cn == 1 || cn == 3 || cn == 4 ); cn 1016 modules/core/src/opengl.cpp impl_.reset(new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], 0, autoRelease)); cn 1030 modules/core/src/opengl.cpp impl_.reset(new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], 0, autoRelease)); cn 1042 modules/core/src/opengl.cpp impl_.reset(new Impl(internalFormats[cn], asize.width, asize.height, srcFormats[cn], gl_types[depth], mat.data, autoRelease)); cn 1049 modules/core/src/opengl.cpp format_ = internalFormats[cn]; cn 1108 modules/core/src/opengl.cpp const int cn = CV_MAT_CN(atype); cn 1111 modules/core/src/opengl.cpp CV_Assert( cn == 1 || cn == 3 || cn == 4 ); cn 1122 modules/core/src/opengl.cpp create(asize, internalFormats[cn], autoRelease); cn 1130 modules/core/src/opengl.cpp impl_->copyFrom(asize.width, asize.height, srcFormats[cn], gl_types[depth], 0); cn 1144 modules/core/src/opengl.cpp impl_->copyFrom(asize.width, asize.height, srcFormats[cn], gl_types[depth], 0); cn 1156 modules/core/src/opengl.cpp impl_->copyFrom(asize.width, asize.height, srcFormats[cn], gl_types[depth], mat.data); cn 1172 modules/core/src/opengl.cpp const int cn = format_ == DEPTH_COMPONENT ? 1: format_ == RGB ? 3 : 4; cn 1180 modules/core/src/opengl.cpp buf.create(rows_, cols_, CV_MAKE_TYPE(ddepth, cn), ogl::Buffer::PIXEL_PACK_BUFFER, autoRelease); cn 1192 modules/core/src/opengl.cpp ogl::Buffer buf(rows_, cols_, CV_MAKE_TYPE(ddepth, cn), ogl::Buffer::PIXEL_PACK_BUFFER); cn 1205 modules/core/src/opengl.cpp arr.create(rows_, cols_, CV_MAKE_TYPE(ddepth, cn)); cn 1240 modules/core/src/opengl.cpp const int cn = vertex.channels(); cn 1243 modules/core/src/opengl.cpp CV_Assert( cn == 2 || cn == 3 || cn == 4 ); cn 1262 modules/core/src/opengl.cpp const int cn = color.channels(); cn 1264 modules/core/src/opengl.cpp CV_Assert( cn == 3 || cn == 4 ); cn 1279 modules/core/src/opengl.cpp const int cn = normal.channels(); cn 1282 modules/core/src/opengl.cpp CV_Assert( cn == 3 ); cn 1298 modules/core/src/opengl.cpp const int cn = texCoord.channels(); cn 1301 modules/core/src/opengl.cpp CV_Assert( cn >= 1 && cn <= 4 ); cn 1384 modules/core/src/opengl.cpp const int cn = color_.channels(); cn 1386 modules/core/src/opengl.cpp gl::ColorPointer(cn, gl_types[color_.depth()], 0, 0); cn 66 modules/core/src/out.cpp int cn; cn 73 modules/core/src/out.cpp void valueToStr8u() { sprintf(buf, "%3d", (int)mtx.ptr<uchar>(row, col)[cn]); } cn 74 modules/core/src/out.cpp void valueToStr8s() { sprintf(buf, "%3d", (int)mtx.ptr<schar>(row, col)[cn]); } cn 75 modules/core/src/out.cpp void valueToStr16u() { sprintf(buf, "%d", (int)mtx.ptr<ushort>(row, col)[cn]); } cn 76 modules/core/src/out.cpp void valueToStr16s() { sprintf(buf, "%d", (int)mtx.ptr<short>(row, col)[cn]); } cn 77 modules/core/src/out.cpp void valueToStr32s() { sprintf(buf, "%d", mtx.ptr<int>(row, col)[cn]); } cn 78 modules/core/src/out.cpp void valueToStr32f() { sprintf(buf, floatFormat, mtx.ptr<float>(row, col)[cn]); } cn 79 modules/core/src/out.cpp void valueToStr64f() { sprintf(buf, floatFormat, mtx.ptr<double>(row, col)[cn]); } cn 96 modules/core/src/out.cpp row = col = cn =0; cn 144 modules/core/src/out.cpp if (++cn >= mcn) cn 152 modules/core/src/out.cpp sprintf(buf, "\n(:, :, %d) = \n", cn+1); cn 155 modules/core/src/out.cpp sprintf(buf, "(:, :, %d) = \n", cn+1); cn 195 modules/core/src/out.cpp cn = 0; cn 221 modules/core/src/out.cpp if (++cn < mcn) cn 3786 modules/core/src/persistence.cpp int sizes[CV_MAX_DIM_HEAP], dims, elem_type, cn; cn 3810 modules/core/src/persistence.cpp cn = CV_MAT_CN(elem_type); cn 3844 modules/core/src/persistence.cpp cvReadRawDataSlice( fs, &reader, cn, val, dt ); cn 3845 modules/core/src/persistence.cpp i += cn; cn 5117 modules/core/src/persistence.cpp static void getElemSize( const String& fmt, size_t& elemSize, size_t& cn ) cn 5120 modules/core/src/persistence.cpp cn = 1; cn 5123 modules/core/src/persistence.cpp cn = dt[0] - '0'; cn 5127 modules/core/src/persistence.cpp elemSize = cn*(c == 'u' || c == 'c' ? sizeof(uchar) : c == 'w' || c == 's' ? sizeof(ushort) : cn 5260 modules/core/src/persistence.cpp size_t elemSize, cn; cn 5261 modules/core/src/persistence.cpp getElemSize( fmt, elemSize, cn ); cn 5433 modules/core/src/persistence.cpp size_t elem_size, cn; cn 5434 modules/core/src/persistence.cpp getElemSize( fmt, elem_size, cn ); cn 5441 modules/core/src/persistence.cpp remaining -= count*cn; cn 221 modules/core/src/precomp.hpp int cn = CV_MAT_CN(atype); cn 224 modules/core/src/precomp.hpp return sz == Size(1, 1) || sz == Size(1, cn) || sz == Size(cn, 1) || cn 225 modules/core/src/precomp.hpp (sz == Size(1, 4) && sc.type() == CV_64F && cn <= 4); cn 235 modules/core/src/precomp.hpp int cn = CV_MAT_CN(atype); cn 238 modules/core/src/precomp.hpp return sz == Size(1, 1) || sz == Size(1, cn) || sz == Size(cn, 1) || cn 239 modules/core/src/precomp.hpp (sz == Size(1, 4) && sc.type() == CV_64F && cn <= 4); cn 410 modules/core/src/rand.cpp randnScale_( const float* src, T* dst, int len, int cn, const PT* mean, const PT* stddev, bool stdmtx ) cn 415 modules/core/src/rand.cpp if( cn == 1 ) cn 423 modules/core/src/rand.cpp for( i = 0; i < len; i++, src += cn, dst += cn ) cn 424 modules/core/src/rand.cpp for( k = 0; k < cn; k++ ) cn 430 modules/core/src/rand.cpp for( i = 0; i < len; i++, src += cn, dst += cn ) cn 432 modules/core/src/rand.cpp for( j = 0; j < cn; j++ ) cn 435 modules/core/src/rand.cpp for( k = 0; k < cn; k++ ) cn 436 modules/core/src/rand.cpp s += src[k]*stddev[j*cn + k]; cn 443 modules/core/src/rand.cpp static void randnScale_8u( const float* src, uchar* dst, int len, int cn, cn 445 modules/core/src/rand.cpp { randnScale_(src, dst, len, cn, mean, stddev, stdmtx); } cn 447 modules/core/src/rand.cpp static void randnScale_8s( const float* src, schar* dst, int len, int cn, cn 449 modules/core/src/rand.cpp { randnScale_(src, dst, len, cn, mean, stddev, stdmtx); } cn 451 modules/core/src/rand.cpp static void randnScale_16u( const float* src, ushort* dst, int len, int cn, cn 453 modules/core/src/rand.cpp { randnScale_(src, dst, len, cn, mean, stddev, stdmtx); } cn 455 modules/core/src/rand.cpp static void randnScale_16s( const float* src, short* dst, int len, int cn, cn 457 modules/core/src/rand.cpp { randnScale_(src, dst, len, cn, mean, stddev, stdmtx); } cn 459 modules/core/src/rand.cpp static void randnScale_32s( const float* src, int* dst, int len, int cn, cn 461 modules/core/src/rand.cpp { randnScale_(src, dst, len, cn, mean, stddev, stdmtx); } cn 463 modules/core/src/rand.cpp static void randnScale_32f( const float* src, float* dst, int len, int cn, cn 465 modules/core/src/rand.cpp { randnScale_(src, dst, len, cn, mean, stddev, stdmtx); } cn 467 modules/core/src/rand.cpp static void randnScale_64f( const float* src, double* dst, int len, int cn, cn 469 modules/core/src/rand.cpp { randnScale_(src, dst, len, cn, mean, stddev, stdmtx); } cn 471 modules/core/src/rand.cpp typedef void (*RandnScaleFunc)(const float* src, uchar* dst, int len, int cn, cn 485 modules/core/src/rand.cpp int depth = mat.depth(), cn = mat.channels(); cn 492 modules/core/src/rand.cpp (_param1.rows + _param1.cols - 1 == cn || _param1.rows + _param1.cols - 1 == 1 || cn 493 modules/core/src/rand.cpp (_param1.size() == Size(1, 4) && _param1.type() == CV_64F && cn <= 4))); cn 496 modules/core/src/rand.cpp (_param2.rows + _param2.cols - 1 == cn || _param2.rows + _param2.cols - 1 == 1 || cn 497 modules/core/src/rand.cpp (_param1.size() == Size(1, 4) && _param1.type() == CV_64F && cn <= 4))) || cn 498 modules/core/src/rand.cpp (_param2.rows == cn && _param2.cols == cn && disttype == NORMAL))); cn 512 modules/core/src/rand.cpp _parambuf.allocate(cn*8 + n1 + n2); cn 517 modules/core/src/rand.cpp if( !_param1.isContinuous() || _param1.type() != CV_64F || n1 != cn ) cn 522 modules/core/src/rand.cpp if( n1 < cn ) cn 523 modules/core/src/rand.cpp for( j = n1; j < cn; j++ ) cn 527 modules/core/src/rand.cpp if( !_param2.isContinuous() || _param2.type() != CV_64F || n2 != cn ) cn 529 modules/core/src/rand.cpp Mat tmp(_param2.size(), CV_64F, parambuf + cn); cn 531 modules/core/src/rand.cpp p2 = parambuf + cn; cn 532 modules/core/src/rand.cpp if( n2 < cn ) cn 533 modules/core/src/rand.cpp for( j = n2; j < cn; j++ ) cn 539 modules/core/src/rand.cpp ip = (Vec2i*)(parambuf + cn*2); cn 540 modules/core/src/rand.cpp for( j = 0, fast_int_mode = 1; j < cn; j++ ) cn 569 modules/core/src/rand.cpp ds = (DivStruct*)(ip + cn); cn 570 modules/core/src/rand.cpp for( j = 0; j < cn; j++ ) cn 598 modules/core/src/rand.cpp fp = (Vec2f*)(parambuf + cn*2); cn 599 modules/core/src/rand.cpp for( j = 0; j < cn; j++ ) cn 607 modules/core/src/rand.cpp dp = (Vec2d*)(parambuf + cn*2); cn 608 modules/core/src/rand.cpp for( j = 0; j < cn; j++ ) cn 621 modules/core/src/rand.cpp _parambuf.allocate(MAX(n1, cn) + MAX(n2, cn)); cn 636 modules/core/src/rand.cpp if( n1 < cn ) cn 637 modules/core/src/rand.cpp for( j = n1*esz; j < cn*esz; j++ ) cn 644 modules/core/src/rand.cpp Mat tmp(_param2.size(), ptype, parambuf + cn); cn 646 modules/core/src/rand.cpp stddev = (uchar*)(parambuf + cn); cn 649 modules/core/src/rand.cpp if( n1 < cn ) cn 650 modules/core/src/rand.cpp for( j = n1*esz; j < cn*esz; j++ ) cn 653 modules/core/src/rand.cpp stdmtx = _param2.rows == cn && _param2.cols == cn; cn 663 modules/core/src/rand.cpp int total = (int)it.size, blockSize = std::min((BLOCK_SIZE + cn - 1)/cn, total); cn 671 modules/core/src/rand.cpp buf.allocate(blockSize*cn*4); cn 679 modules/core/src/rand.cpp for( j = 0; j < blockSize*cn; j += cn ) cn 680 modules/core/src/rand.cpp for( k = 0; k < cn; k++ ) cn 686 modules/core/src/rand.cpp for( j = 0; j < blockSize*cn; j += cn ) cn 687 modules/core/src/rand.cpp for( k = 0; k < cn; k++ ) cn 694 modules/core/src/rand.cpp for( j = 0; j < blockSize*cn; j += cn ) cn 695 modules/core/src/rand.cpp for( k = 0; k < cn; k++ ) cn 701 modules/core/src/rand.cpp for( j = 0; j < blockSize*cn; j += cn ) cn 702 modules/core/src/rand.cpp for( k = 0; k < cn; k++ ) cn 708 modules/core/src/rand.cpp buf.allocate((blockSize*cn+1)/2); cn 719 modules/core/src/rand.cpp func( ptr, len*cn, &state, param, smallFlag != 0 ); cn 722 modules/core/src/rand.cpp randn_0_1_32f(nbuf, len*cn, &state); cn 723 modules/core/src/rand.cpp scaleFunc(nbuf, ptr, len, cn, mean, stddev, stdmtx); cn 81 modules/core/src/stat.cpp int operator () (const schar * src0, const uchar * mask, int * dst, int len, int cn) const cn 83 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2 && cn != 4) || !USE_SSE2) cn 113 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 114 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 117 modules/core/src/stat.cpp return x / cn; cn 124 modules/core/src/stat.cpp int operator () (const int * src0, const uchar * mask, double * dst, int len, int cn) const cn 126 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2 && cn != 4) || !USE_SSE2) cn 143 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 144 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 147 modules/core/src/stat.cpp return x / cn; cn 154 modules/core/src/stat.cpp int operator () (const float * src0, const uchar * mask, double * dst, int len, int cn) const cn 156 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2 && cn != 4) || !USE_SSE2) cn 174 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 175 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 178 modules/core/src/stat.cpp return x / cn; cn 188 modules/core/src/stat.cpp int operator () (const uchar * src0, const uchar * mask, int * dst, int len, int cn) const cn 190 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2 && cn != 4)) cn 220 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 221 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 224 modules/core/src/stat.cpp return x / cn; cn 231 modules/core/src/stat.cpp int operator () (const schar * src0, const uchar * mask, int * dst, int len, int cn) const cn 233 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2 && cn != 4)) cn 263 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 264 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 267 modules/core/src/stat.cpp return x / cn; cn 274 modules/core/src/stat.cpp int operator () (const ushort * src0, const uchar * mask, int * dst, int len, int cn) const cn 276 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2 && cn != 4)) cn 296 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 297 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 300 modules/core/src/stat.cpp return x / cn; cn 307 modules/core/src/stat.cpp int operator () (const short * src0, const uchar * mask, int * dst, int len, int cn) const cn 309 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2 && cn != 4)) cn 329 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 330 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 333 modules/core/src/stat.cpp return x / cn; cn 340 modules/core/src/stat.cpp static int sum_(const T* src0, const uchar* mask, ST* dst, int len, int cn ) cn 346 modules/core/src/stat.cpp int i = vop(src0, mask, dst, len, cn), k = cn % 4; cn 347 modules/core/src/stat.cpp src += i * cn; cn 354 modules/core/src/stat.cpp for(; i <= len - 4; i += 4, src += cn*4 ) cn 355 modules/core/src/stat.cpp s0 += src[0] + src[cn] + src[cn*2] + src[cn*3]; cn 357 modules/core/src/stat.cpp for( ; i < len; i++, src += cn ) cn 364 modules/core/src/stat.cpp for( ; i < len; i++, src += cn ) cn 375 modules/core/src/stat.cpp for( ; i < len; i++, src += cn ) cn 386 modules/core/src/stat.cpp for( ; k < cn; k += 4 ) cn 388 modules/core/src/stat.cpp src = src0 + i*cn + k; cn 390 modules/core/src/stat.cpp for( ; i < len; i++, src += cn ) cn 404 modules/core/src/stat.cpp if( cn == 1 ) cn 415 modules/core/src/stat.cpp else if( cn == 3 ) cn 432 modules/core/src/stat.cpp for( i = 0; i < len; i++, src += cn ) cn 437 modules/core/src/stat.cpp for( ; k <= cn - 4; k += 4 ) cn 448 modules/core/src/stat.cpp for( ; k < cn; k++ ) cn 457 modules/core/src/stat.cpp static int sum8u( const uchar* src, const uchar* mask, int* dst, int len, int cn ) cn 458 modules/core/src/stat.cpp { return sum_(src, mask, dst, len, cn); } cn 460 modules/core/src/stat.cpp static int sum8s( const schar* src, const uchar* mask, int* dst, int len, int cn ) cn 461 modules/core/src/stat.cpp { return sum_(src, mask, dst, len, cn); } cn 463 modules/core/src/stat.cpp static int sum16u( const ushort* src, const uchar* mask, int* dst, int len, int cn ) cn 464 modules/core/src/stat.cpp { return sum_(src, mask, dst, len, cn); } cn 466 modules/core/src/stat.cpp static int sum16s( const short* src, const uchar* mask, int* dst, int len, int cn ) cn 467 modules/core/src/stat.cpp { return sum_(src, mask, dst, len, cn); } cn 469 modules/core/src/stat.cpp static int sum32s( const int* src, const uchar* mask, double* dst, int len, int cn ) cn 470 modules/core/src/stat.cpp { return sum_(src, mask, dst, len, cn); } cn 472 modules/core/src/stat.cpp static int sum32f( const float* src, const uchar* mask, double* dst, int len, int cn ) cn 473 modules/core/src/stat.cpp { return sum_(src, mask, dst, len, cn); } cn 475 modules/core/src/stat.cpp static int sum64f( const double* src, const uchar* mask, double* dst, int len, int cn ) cn 476 modules/core/src/stat.cpp { return sum_(src, mask, dst, len, cn); } cn 753 modules/core/src/stat.cpp int operator () (const uchar * src0, const uchar * mask, int * sum, int * sqsum, int len, int cn) const cn 755 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2) || !USE_SSE2) cn 798 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 799 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 805 modules/core/src/stat.cpp return x / cn; cn 812 modules/core/src/stat.cpp int operator () (const schar * src0, const uchar * mask, int * sum, int * sqsum, int len, int cn) const cn 814 modules/core/src/stat.cpp if (mask || (cn != 1 && cn != 2) || !USE_SSE2) cn 857 modules/core/src/stat.cpp for (int i = 0; i < 4; i += cn) cn 858 modules/core/src/stat.cpp for (int j = 0; j < cn; ++j) cn 864 modules/core/src/stat.cpp return x / cn; cn 871 modules/core/src/stat.cpp static int sumsqr_(const T* src0, const uchar* mask, ST* sum, SQT* sqsum, int len, int cn ) cn 878 modules/core/src/stat.cpp int i = vop(src0, mask, sum, sqsum, len, cn), k = cn % 4; cn 879 modules/core/src/stat.cpp src += i * cn; cn 885 modules/core/src/stat.cpp for( ; i < len; i++, src += cn ) cn 897 modules/core/src/stat.cpp for( ; i < len; i++, src += cn ) cn 910 modules/core/src/stat.cpp for( ; i < len; i++, src += cn ) cn 921 modules/core/src/stat.cpp for( ; k < cn; k += 4 ) cn 926 modules/core/src/stat.cpp for( ; i < len; i++, src += cn ) cn 946 modules/core/src/stat.cpp if( cn == 1 ) cn 960 modules/core/src/stat.cpp else if( cn == 3 ) cn 978 modules/core/src/stat.cpp for( i = 0; i < len; i++, src += cn ) cn 981 modules/core/src/stat.cpp for( int k = 0; k < cn; k++ ) cn 995 modules/core/src/stat.cpp static int sqsum8u( const uchar* src, const uchar* mask, int* sum, int* sqsum, int len, int cn ) cn 996 modules/core/src/stat.cpp { return sumsqr_(src, mask, sum, sqsum, len, cn); } cn 998 modules/core/src/stat.cpp static int sqsum8s( const schar* src, const uchar* mask, int* sum, int* sqsum, int len, int cn ) cn 999 modules/core/src/stat.cpp { return sumsqr_(src, mask, sum, sqsum, len, cn); } cn 1001 modules/core/src/stat.cpp static int sqsum16u( const ushort* src, const uchar* mask, int* sum, double* sqsum, int len, int cn ) cn 1002 modules/core/src/stat.cpp { return sumsqr_(src, mask, sum, sqsum, len, cn); } cn 1004 modules/core/src/stat.cpp static int sqsum16s( const short* src, const uchar* mask, int* sum, double* sqsum, int len, int cn ) cn 1005 modules/core/src/stat.cpp { return sumsqr_(src, mask, sum, sqsum, len, cn); } cn 1007 modules/core/src/stat.cpp static int sqsum32s( const int* src, const uchar* mask, double* sum, double* sqsum, int len, int cn ) cn 1008 modules/core/src/stat.cpp { return sumsqr_(src, mask, sum, sqsum, len, cn); } cn 1010 modules/core/src/stat.cpp static int sqsum32f( const float* src, const uchar* mask, double* sum, double* sqsum, int len, int cn ) cn 1011 modules/core/src/stat.cpp { return sumsqr_(src, mask, sum, sqsum, len, cn); } cn 1013 modules/core/src/stat.cpp static int sqsum64f( const double* src, const uchar* mask, double* sum, double* sqsum, int len, int cn ) cn 1014 modules/core/src/stat.cpp { return sumsqr_(src, mask, sum, sqsum, len, cn); } cn 1036 modules/core/src/stat.cpp int cn = m.channels(); cn 1039 modules/core/src/stat.cpp for (int x = 0, w = m.cols * cn; x < w; ) cn 1040 modules/core/src/stat.cpp for (int c = 0; c < cn; ++c, ++x) cn 1057 modules/core/src/stat.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 1058 modules/core/src/stat.cpp kercn = cn == 1 && !haveMask ? ocl::predictOptimalVectorWidth(_src, _src2) : 1, cn 1059 modules/core/src/stat.cpp mcn = std::max(cn, kercn); cn 1061 modules/core/src/stat.cpp int convert_cn = haveSrc2 ? mcn : cn; cn 1063 modules/core/src/stat.cpp if ( (!doubleSupport && depth == CV_64F) || cn > 4 ) cn 1070 modules/core/src/stat.cpp dtype = CV_MAKE_TYPE(ddepth, cn); cn 1084 modules/core/src/stat.cpp ocl::typeToStr(ddepth), ddepth, cn, cn 1153 modules/core/src/stat.cpp int k, cn = src.channels(), depth = src.depth(); cn 1191 modules/core/src/stat.cpp for( int i = 0; i < cn; i++ ) cn 1203 modules/core/src/stat.cpp CV_Assert( cn <= 4 && func != 0 ); cn 1220 modules/core/src/stat.cpp _buf.allocate(cn); cn 1223 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1233 modules/core/src/stat.cpp func( ptrs[0], 0, (uchar*)buf, bsz, cn ); cn 1237 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1296 modules/core/src/stat.cpp int type = _src.type(), cn = CV_MAT_CN(type); cn 1297 modules/core/src/stat.cpp CV_Assert( cn == 1 ); cn 1359 modules/core/src/stat.cpp int k, cn = src.channels(), depth = src.depth(); cn 1437 modules/core/src/stat.cpp for( int i = 0; i < cn; i++ ) cn 1451 modules/core/src/stat.cpp CV_Assert( cn <= 4 && func != 0 ); cn 1468 modules/core/src/stat.cpp _buf.allocate(cn); cn 1471 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1481 modules/core/src/stat.cpp int nz = func( ptrs[0], ptrs[1], (uchar*)buf, bsz, cn ); cn 1486 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1512 modules/core/src/stat.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 1526 modules/core/src/stat.cpp dtype = CV_MAKE_TYPE(ddepth, cn), cn 1527 modules/core/src/stat.cpp sqdtype = CV_MAKETYPE(sqddepth, cn); cn 1535 modules/core/src/stat.cpp if ( (!doubleSupport && depth == CV_64F) || cn > 4 ) cn 1545 modules/core/src/stat.cpp ocl::convertTypeStr(depth, sqddepth, cn, cvt[0]), cn 1546 modules/core/src/stat.cpp cn, isContinuous ? " -D HAVE_SRC_CONT" : "", cn 1548 modules/core/src/stat.cpp ocl::convertTypeStr(depth, ddepth, cn, cvt[1]), cn 1587 modules/core/src/stat.cpp int k, j, cn = _src.channels(); cn 1588 modules/core/src/stat.cpp for (int i = 0; i < cn; ++i) cn 1602 modules/core/src/stat.cpp _dst.create(cn, 1, CV_64F, -1, true); cn 1606 modules/core/src/stat.cpp (dst.cols == 1 || dst.rows == 1) && dcn >= cn ); cn 1608 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1629 modules/core/src/stat.cpp int k, cn = src.channels(), depth = src.depth(); cn 1647 modules/core/src/stat.cpp _mean.create(cn, 1, CV_64F, -1, true); cn 1656 modules/core/src/stat.cpp _sdv.create(cn, 1, CV_64F, -1, true); cn 1661 modules/core/src/stat.cpp for( int c = cn; c < dcn_mean; c++ ) cn 1663 modules/core/src/stat.cpp for( int c = cn; c < dcn_stddev; c++ ) cn 1753 modules/core/src/stat.cpp AutoBuffer<double> _buf(cn*4); cn 1754 modules/core/src/stat.cpp double *s = (double*)_buf, *sq = s + cn; cn 1759 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1766 modules/core/src/stat.cpp sbuf = (int*)(sq + cn); cn 1768 modules/core/src/stat.cpp sqbuf = sbuf + cn; cn 1769 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1779 modules/core/src/stat.cpp int nz = func( ptrs[0], ptrs[1], (uchar*)sbuf, (uchar*)sqbuf, bsz, cn ); cn 1784 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1791 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1806 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 1820 modules/core/src/stat.cpp _dst.create(cn, 1, CV_64F, -1, true); cn 1824 modules/core/src/stat.cpp (dst.cols == 1 || dst.rows == 1) && dcn >= cn ); cn 1826 modules/core/src/stat.cpp for( k = 0; k < cn; k++ ) cn 2060 modules/core/src/stat.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 2061 modules/core/src/stat.cpp kercn = haveMask ? cn : std::min(4, ocl::predictOptimalVectorWidth(_src, _src2)); cn 2067 modules/core/src/stat.cpp CV_Assert( (cn == 1 && (!haveMask || _mask.type() == CV_8U)) || cn 2068 modules/core/src/stat.cpp (cn >= 1 && !minLoc && !maxLoc) ); cn 2130 modules/core/src/stat.cpp if (cn > 1 && !haveMask) cn 2190 modules/core/src/stat.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 2191 modules/core/src/stat.cpp CV_Assert( (cn == 1 && (_mask.empty() || _mask.type() == CV_8U)) || cn 2192 modules/core/src/stat.cpp (cn > 1 && _mask.empty() && !minIdx && !maxIdx) ); cn 2206 modules/core/src/stat.cpp IppiSize sz = { cols * cn, rows }; cn 2307 modules/core/src/stat.cpp int planeSize = (int)it.size*cn; cn 2355 modules/core/src/stat.cpp normInf_(const T* src, const uchar* mask, ST* _result, int len, int cn) cn 2360 modules/core/src/stat.cpp result = std::max(result, normInf<T, ST>(src, len*cn)); cn 2364 modules/core/src/stat.cpp for( int i = 0; i < len; i++, src += cn ) cn 2367 modules/core/src/stat.cpp for( int k = 0; k < cn; k++ ) cn 2376 modules/core/src/stat.cpp normL1_(const T* src, const uchar* mask, ST* _result, int len, int cn) cn 2381 modules/core/src/stat.cpp result += normL1<T, ST>(src, len*cn); cn 2385 modules/core/src/stat.cpp for( int i = 0; i < len; i++, src += cn ) cn 2388 modules/core/src/stat.cpp for( int k = 0; k < cn; k++ ) cn 2397 modules/core/src/stat.cpp normL2_(const T* src, const uchar* mask, ST* _result, int len, int cn) cn 2402 modules/core/src/stat.cpp result += normL2Sqr<T, ST>(src, len*cn); cn 2406 modules/core/src/stat.cpp for( int i = 0; i < len; i++, src += cn ) cn 2409 modules/core/src/stat.cpp for( int k = 0; k < cn; k++ ) cn 2421 modules/core/src/stat.cpp normDiffInf_(const T* src1, const T* src2, const uchar* mask, ST* _result, int len, int cn) cn 2426 modules/core/src/stat.cpp result = std::max(result, normInf<T, ST>(src1, src2, len*cn)); cn 2430 modules/core/src/stat.cpp for( int i = 0; i < len; i++, src1 += cn, src2 += cn ) cn 2433 modules/core/src/stat.cpp for( int k = 0; k < cn; k++ ) cn 2442 modules/core/src/stat.cpp normDiffL1_(const T* src1, const T* src2, const uchar* mask, ST* _result, int len, int cn) cn 2447 modules/core/src/stat.cpp result += normL1<T, ST>(src1, src2, len*cn); cn 2451 modules/core/src/stat.cpp for( int i = 0; i < len; i++, src1 += cn, src2 += cn ) cn 2454 modules/core/src/stat.cpp for( int k = 0; k < cn; k++ ) cn 2463 modules/core/src/stat.cpp normDiffL2_(const T* src1, const T* src2, const uchar* mask, ST* _result, int len, int cn) cn 2468 modules/core/src/stat.cpp result += normL2Sqr<T, ST>(src1, src2, len*cn); cn 2472 modules/core/src/stat.cpp for( int i = 0; i < len; i++, src1 += cn, src2 += cn ) cn 2475 modules/core/src/stat.cpp for( int k = 0; k < cn; k++ ) cn 2492 modules/core/src/stat.cpp static int norm##L##_##suffix(const type* src, const uchar* mask, ntype* r, int len, int cn) \ cn 2493 modules/core/src/stat.cpp { return norm##L##_(src, mask, r, len, cn); } \ cn 2495 modules/core/src/stat.cpp const uchar* mask, ntype* r, int len, int cn) \ cn 2496 modules/core/src/stat.cpp { return normDiff##L##_(src1, src2, mask, r, (int)len, cn); } cn 2574 modules/core/src/stat.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 2600 modules/core/src/stat.cpp cn = 1; cn 2603 modules/core/src/stat.cpp for (int i = 0; i < cn; ++i) cn 2631 modules/core/src/stat.cpp int depth = src.depth(), cn = src.channels(); cn 2781 modules/core/src/stat.cpp for( int i = 1; i < cn; i++ ) cn 2801 modules/core/src/stat.cpp size_t len = src.total()*cn; cn 2899 modules/core/src/stat.cpp intSumBlockSize = (normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15))/cn; cn 2910 modules/core/src/stat.cpp func( ptrs[0], ptrs[1], (uchar*)ibuf, bsz, cn ); cn 2951 modules/core/src/stat.cpp int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 2967 modules/core/src/stat.cpp cn = 1; cn 2971 modules/core/src/stat.cpp for (int i = 0; i < cn; ++i) cn 3118 modules/core/src/stat.cpp int depth = src1.depth(), cn = src1.channels(); cn 3395 modules/core/src/stat.cpp func( ptrs[0], ptrs[1], ptrs[2], (uchar*)ibuf, bsz, cn ); cn 481 modules/core/src/umatrix.cpp int cn = channels(); cn 484 modules/core/src/umatrix.cpp if( dims > 2 && new_rows == 0 && new_cn != 0 && size[dims-1]*cn % new_cn == 0 ) cn 488 modules/core/src/umatrix.cpp hdr.size[dims-1] = hdr.size[dims-1]*cn / new_cn; cn 495 modules/core/src/umatrix.cpp new_cn = cn; cn 497 modules/core/src/umatrix.cpp int total_width = cols * cn; cn 671 modules/core/src/umatrix.cpp int cn = channels(), mtype = _mask.type(), mdepth = CV_MAT_DEPTH(mtype), mcn = CV_MAT_CN(mtype); cn 672 modules/core/src/umatrix.cpp CV_Assert( mdepth == CV_8U && (mcn == 1 || mcn == cn) ); cn 686 modules/core/src/umatrix.cpp ocl::memopTypeToStr(depth()), cn, mcn, cn 713 modules/core/src/umatrix.cpp int stype = type(), cn = CV_MAT_CN(stype); cn 718 modules/core/src/umatrix.cpp _type = CV_MAKETYPE(CV_MAT_DEPTH(_type), cn); cn 729 modules/core/src/umatrix.cpp if( dims <= 2 && cn && _dst.isUMat() && ocl::useOpenCL() && cn 749 modules/core/src/umatrix.cpp dstarg = ocl::KernelArg::WriteOnly(dst, cn); cn 756 modules/core/src/umatrix.cpp size_t globalsize[2] = { dst.cols * cn, (dst.rows + rowsPerWI - 1) / rowsPerWI }; cn 773 modules/core/src/umatrix.cpp int tp = type(), cn = CV_MAT_CN(tp), d = CV_MAT_DEPTH(tp); cn 775 modules/core/src/umatrix.cpp if( dims <= 2 && cn <= 4 && CV_MAT_DEPTH(tp) < CV_64F && ocl::useOpenCL() ) cn 779 modules/core/src/umatrix.cpp int kercn = haveMask || cn == 3 ? cn : std::max(cn, ocl::predictOptimalVectorWidth(*this)), cn 784 modules/core/src/umatrix.cpp convertAndUnrollScalar(value, tp, (uchar *)buf, kercn / cn); cn 808 modules/core/src/umatrix.cpp ocl::KernelArg dstarg = ocl::KernelArg::WriteOnly(*this, cn, kercn); cn 812 modules/core/src/umatrix.cpp size_t globalsize[] = { cols * cn / kercn, (rows + rowsPerWI - 1) / rowsPerWI }; cn 57 modules/core/test/ocl/test_arithm.cpp int cn; cn 68 modules/core/test/ocl/test_arithm.cpp cn = GET_PARAM(2); cn 75 modules/core/test/ocl/test_arithm.cpp const int src_type = CV_MAKE_TYPE(src_depth, cn); cn 76 modules/core/test/ocl/test_arithm.cpp const int lut_type = CV_MAKE_TYPE(lut_depth, same_cn ? cn : 1); cn 77 modules/core/test/ocl/test_arithm.cpp const int dst_type = CV_MAKE_TYPE(lut_depth, cn); cn 119 modules/core/test/ocl/test_arithm.cpp int cn; cn 133 modules/core/test/ocl/test_arithm.cpp cn = GET_PARAM(1); cn 139 modules/core/test/ocl/test_arithm.cpp const int type = CV_MAKE_TYPE(depth, cn); cn 585 modules/core/test/ocl/test_arithm.cpp const int type = CV_MAKE_TYPE(depth, cn); cn 902 modules/core/test/ocl/test_arithm.cpp const int type = CV_MAKE_TYPE(depth, cn); cn 967 modules/core/test/ocl/test_arithm.cpp for (int i = 0; i < cn; ++i) cn 988 modules/core/test/ocl/test_arithm.cpp for (int i = 0; i < cn; ++i) cn 1008 modules/core/test/ocl/test_arithm.cpp for (int i = 0; i < cn; ++i) cn 1163 modules/core/test/ocl/test_arithm.cpp if (cn > 1) cn 1481 modules/core/test/ocl/test_arithm.cpp int cn; cn 1493 modules/core/test/ocl/test_arithm.cpp cn = GET_PARAM(1); cn 1500 modules/core/test/ocl/test_arithm.cpp const int type = CV_MAKE_TYPE(depth, cn); cn 1563 modules/core/test/ocl/test_arithm.cpp int cn; cn 1573 modules/core/test/ocl/test_arithm.cpp cn = GET_PARAM(1); cn 1579 modules/core/test/ocl/test_arithm.cpp const int stype = CV_MAKE_TYPE(depth, cn); cn 1580 modules/core/test/ocl/test_arithm.cpp const int dtype = CV_MAKE_TYPE(CV_8U, cn); cn 1638 modules/core/test/ocl/test_arithm.cpp int cn; cn 1646 modules/core/test/ocl/test_arithm.cpp cn = GET_PARAM(0); cn 1652 modules/core/test/ocl/test_arithm.cpp const int type = CV_MAKE_TYPE(CV_32F, cn); cn 1659 modules/core/test/ocl/test_arithm.cpp roiSize.width *= cn; cn 1714 modules/core/test/ocl/test_arithm.cpp int sdepth, ddepth, cn, dim, dtype; cn 1725 modules/core/test/ocl/test_arithm.cpp cn = GET_PARAM(1); cn 1732 modules/core/test/ocl/test_arithm.cpp const int stype = CV_MAKE_TYPE(sdepth, cn); cn 1733 modules/core/test/ocl/test_arithm.cpp dtype = CV_MAKE_TYPE(ddepth, cn); cn 150 modules/core/test/ocl/test_channels.cpp int depth, cn; cn 165 modules/core/test/ocl/test_channels.cpp cn = GET_PARAM(1); cn 168 modules/core/test/ocl/test_channels.cpp CV_Assert(cn >= 1 && cn <= 4); cn 175 modules/core/test/ocl/test_channels.cpp randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 5, 16); cn 199 modules/core/test/ocl/test_channels.cpp if (cn >= 2) cn 202 modules/core/test/ocl/test_channels.cpp if (cn >= 3) cn 205 modules/core/test/ocl/test_channels.cpp if (cn >= 4) cn 220 modules/core/test/ocl/test_channels.cpp for (int i = 0; i < cn; ++i) cn 257 modules/core/test/ocl/test_channels.cpp int cn = randomInt(1, 5); cn 258 modules/core/test/ocl/test_channels.cpp return CV_MAKE_TYPE(depth, cn); cn 371 modules/core/test/ocl/test_channels.cpp int depth, cn, coi; cn 380 modules/core/test/ocl/test_channels.cpp cn = GET_PARAM(1); cn 387 modules/core/test/ocl/test_channels.cpp coi = randomInt(0, cn); cn 393 modules/core/test/ocl/test_channels.cpp randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_MAKE_TYPE(depth, cn), 5, 16); cn 417 modules/core/test/ocl/test_channels.cpp int depth, cn, coi; cn 426 modules/core/test/ocl/test_channels.cpp cn = GET_PARAM(1); cn 433 modules/core/test/ocl/test_channels.cpp coi = randomInt(0, cn); cn 436 modules/core/test/ocl/test_channels.cpp randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 2, 11); cn 68 modules/core/test/ocl/test_dft.cpp int dft_flags, depth, cn, dft_type; cn 84 modules/core/test/ocl/test_dft.cpp case R2R: dft_flags |= cv::DFT_REAL_OUTPUT; cn = 1; break; cn 85 modules/core/test/ocl/test_dft.cpp case C2R: dft_flags |= cv::DFT_REAL_OUTPUT; cn = 2; break; cn 86 modules/core/test/ocl/test_dft.cpp case R2C: dft_flags |= cv::DFT_COMPLEX_OUTPUT; cn = 1; break; cn 87 modules/core/test/ocl/test_dft.cpp case C2C: dft_flags |= cv::DFT_COMPLEX_OUTPUT; cn = 2; break; cn 102 modules/core/test/ocl/test_dft.cpp src = randomMat(dft_size, CV_MAKE_TYPE(depth, cn), 0.0, 100.0); cn 59 modules/core/test/ocl/test_matrix_operation.cpp int src_depth, cn, dstType; cn 68 modules/core/test/ocl/test_matrix_operation.cpp cn = GET_PARAM(2); cn 69 modules/core/test/ocl/test_matrix_operation.cpp dstType = CV_MAKE_TYPE(GET_PARAM(1), cn); cn 78 modules/core/test/ocl/test_matrix_operation.cpp randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(src_depth, cn), -MAX_VALUE, MAX_VALUE); cn 108 modules/core/test/ocl/test_matrix_operation.cpp int depth, cn; cn 119 modules/core/test/ocl/test_matrix_operation.cpp cn = GET_PARAM(1); cn 126 modules/core/test/ocl/test_matrix_operation.cpp const int type = CV_MAKE_TYPE(depth, cn); cn 137 modules/core/test/ocl/test_matrix_operation.cpp mask_cn = cn; cn 511 modules/core/test/test_arithm.cpp inRangeS_(const _Tp* src, const _WTp* a, const _WTp* b, uchar* dst, size_t total, int cn) cn 517 modules/core/test/test_arithm.cpp _Tp val = src[i*cn]; cn 520 modules/core/test/test_arithm.cpp for( c = 1; c < cn; c++ ) cn 524 modules/core/test/test_arithm.cpp _Tp val = src[i*cn + c]; cn 530 modules/core/test/test_arithm.cpp template<typename _Tp> static void inRange_(const _Tp* src, const _Tp* a, const _Tp* b, uchar* dst, size_t total, int cn) cn 536 modules/core/test/test_arithm.cpp _Tp val = src[i*cn]; cn 537 modules/core/test/test_arithm.cpp dst[i] = a[i*cn] <= val && val <= b[i*cn] ? 255 : 0; cn 539 modules/core/test/test_arithm.cpp for( c = 1; c < cn; c++ ) cn 543 modules/core/test/test_arithm.cpp _Tp val = src[i*cn + c]; cn 544 modules/core/test/test_arithm.cpp dst[i] = a[i*cn + c] <= val && val <= b[i*cn + c] ? dst[i] : 0; cn 561 modules/core/test/test_arithm.cpp int depth = src.depth(), cn = src.channels(); cn 573 modules/core/test/test_arithm.cpp inRange_((const uchar*)sptr, (const uchar*)aptr, (const uchar*)bptr, dptr, total, cn); cn 576 modules/core/test/test_arithm.cpp inRange_((const schar*)sptr, (const schar*)aptr, (const schar*)bptr, dptr, total, cn); cn 579 modules/core/test/test_arithm.cpp inRange_((const ushort*)sptr, (const ushort*)aptr, (const ushort*)bptr, dptr, total, cn); cn 582 modules/core/test/test_arithm.cpp inRange_((const short*)sptr, (const short*)aptr, (const short*)bptr, dptr, total, cn); cn 585 modules/core/test/test_arithm.cpp inRange_((const int*)sptr, (const int*)aptr, (const int*)bptr, dptr, total, cn); cn 588 modules/core/test/test_arithm.cpp inRange_((const float*)sptr, (const float*)aptr, (const float*)bptr, dptr, total, cn); cn 591 modules/core/test/test_arithm.cpp inRange_((const double*)sptr, (const double*)aptr, (const double*)bptr, dptr, total, cn); cn 609 modules/core/test/test_arithm.cpp int depth = src.depth(), cn = src.channels(); cn 611 modules/core/test/test_arithm.cpp int wtype = CV_MAKETYPE(depth <= CV_32S ? CV_32S : depth, cn); cn 612 modules/core/test/test_arithm.cpp scalarToRawData(lb, lbuf.d, wtype, cn); cn 613 modules/core/test/test_arithm.cpp scalarToRawData(rb, rbuf.d, wtype, cn); cn 623 modules/core/test/test_arithm.cpp inRangeS_((const uchar*)sptr, lbuf.i, rbuf.i, dptr, total, cn); cn 626 modules/core/test/test_arithm.cpp inRangeS_((const schar*)sptr, lbuf.i, rbuf.i, dptr, total, cn); cn 629 modules/core/test/test_arithm.cpp inRangeS_((const ushort*)sptr, lbuf.i, rbuf.i, dptr, total, cn); cn 632 modules/core/test/test_arithm.cpp inRangeS_((const short*)sptr, lbuf.i, rbuf.i, dptr, total, cn); cn 635 modules/core/test/test_arithm.cpp inRangeS_((const int*)sptr, lbuf.i, rbuf.i, dptr, total, cn); cn 638 modules/core/test/test_arithm.cpp inRangeS_((const float*)sptr, lbuf.f, rbuf.f, dptr, total, cn); cn 641 modules/core/test/test_arithm.cpp inRangeS_((const double*)sptr, lbuf.d, rbuf.d, dptr, total, cn); cn 1188 modules/core/test/test_arithm.cpp int cn; cn 1192 modules/core/test/test_arithm.cpp cn = 0; cn 1209 modules/core/test/test_arithm.cpp cn = temp.channels(); cn 1220 modules/core/test/test_arithm.cpp CV_Assert(cn > 0); cn 1222 modules/core/test/test_arithm.cpp for(int i = 1; i < cn; ++i) cn 1446 modules/core/test/test_arithm.cpp int cn = rng.uniform(1, 6); cn 1447 modules/core/test/test_arithm.cpp int type = CV_MAKETYPE(depth, cn); cn 107 modules/core/test/test_dxt.cpp const int cn = 2; cn 116 modules/core/test/test_dxt.cpp Mat srci = src.row(i).reshape(cn, src.cols), dsti = tmp.col(i); cn 128 modules/core/test/test_dxt.cpp Mat srci = tmp.row(i).reshape(cn, tmp.cols), dsti = dst.col(i); cn 214 modules/core/test/test_dxt.cpp const int cn = 1; cn 223 modules/core/test/test_dxt.cpp Mat srci = src.row(i).reshape(cn, src.cols); cn 236 modules/core/test/test_dxt.cpp Mat srci = tmp.row(i).reshape(cn, tmp.cols); cn 278 modules/core/test/test_dxt.cpp int cn = _src0.channels(); cn 279 modules/core/test/test_dxt.cpp int srcstep = cn, dststep = 1; cn 299 modules/core/test/test_dxt.cpp dst[n2*dststep].re = src0[(cn == 1 ? n-1 : n2)*srcstep]; cn 304 modules/core/test/test_dxt.cpp delta1 = delta0 + (cn == 1 ? srcstep : 1); cn 305 modules/core/test/test_dxt.cpp if( cn == 1 ) cn 335 modules/core/test/test_dxt.cpp dst[n2*dststep].re = src0[(cn == 1 ? n-1 : n2)*srcstep]; cn 340 modules/core/test/test_dxt.cpp delta1 = delta0 + (cn == 1 ? srcstep : 1); cn 341 modules/core/test/test_dxt.cpp if( cn == 1 ) cn 540 modules/core/test/test_dxt.cpp int cn = !allow_complex || !(bits & 256) ? 1 : 2; cn 548 modules/core/test/test_dxt.cpp types[OUTPUT][0] = CV_MAKETYPE(depth, cn); cn 585 modules/core/test/test_dxt.cpp if( cn == 1 ) cn 593 modules/core/test/test_dxt.cpp else if( /*(cn == 2 && (bits&32)) ||*/ (cn == 1 && allow_complex) ) cn 601 modules/core/test/test_dxt.cpp if( cn == 2 ) cn 614 modules/core/test/test_dxt.cpp if( cn == 2 ) cn 813 modules/core/test/test_dxt.cpp int cn = src1->channels(); cn 815 modules/core/test/test_dxt.cpp if( cn == 1 ) cn 824 modules/core/test/test_dxt.cpp if( cn == 1 ) cn 115 modules/core/test/test_io.cpp int cn = cvtest::randInt(rng) % 4 + 1; cn 116 modules/core/test/test_io.cpp Mat test_mat(cvtest::randInt(rng)%30+1, cvtest::randInt(rng)%30+1, CV_MAKETYPE(depth, cn)); cn 146 modules/core/test/test_io.cpp cn = cvtest::randInt(rng) % 4 + 1; cn 152 modules/core/test/test_io.cpp MatND test_mat_nd(3, sz, CV_MAKETYPE(depth, cn)); cn 17 modules/core/test/test_ippasync.cpp int cn; cn 31 modules/core/test/test_ippasync.cpp cn = GET_PARAM(1); cn 72 modules/core/test/test_ippasync.cpp result = hpp::getMat(virtMatrix[1], accel, cn); cn 88 modules/core/test/test_ippasync.cpp int cn; cn 100 modules/core/test/test_ippasync.cpp cn = GET_PARAM(0); cn 111 modules/core/test/test_ippasync.cpp sts = hppQueryMatrixAllocParams(accel, (hpp32u)(matrix_Size.width*cn), (hpp32u)matrix_Size.height, HPP_DATA_TYPE_8U, &pitch, &size); cn 118 modules/core/test/test_ippasync.cpp for(int i=0; i<matrix_Size.width*cn; i++) cn 156 modules/core/test/test_ippasync.cpp result = hpp::getMat(virtMatrix[1], accel, cn); cn 1184 modules/core/test/test_mat.cpp int cn = 0; cn 1187 modules/core/test/test_mat.cpp cn = M.channels(); cn 1189 modules/core/test/test_mat.cpp ASSERT_EQ(1, cn); cn 57 modules/core/test/test_math.cpp int cn = cvtest::randInt(rng) % 4 + 1, type = CV_MAKETYPE(depth, cn); cn 102 modules/core/test/test_math.cpp int cn = cvtest::randInt(rng) % 4 + 1; cn 119 modules/core/test/test_math.cpp int type = CV_MAKETYPE(depth, cn); cn 397 modules/core/test/test_math.cpp int cn = cvtest::randInt(rng) % max_cn + 1; cn 411 modules/core/test/test_math.cpp int type = !flag ? CV_MAKETYPE(depth, cn) : CV_64FC1; cn 522 modules/core/test/test_math.cpp int cn = cvtest::randInt(rng) & 1 ? 3 : 1, type = CV_MAKETYPE(depth, cn); cn 527 modules/core/test/test_math.cpp if( cn == 3 ) cn 930 modules/core/test/test_math.cpp int depth, cn, mattype; cn 933 modules/core/test/test_math.cpp cn = CV_MAT_CN(types[INPUT][0]) + 1; cn 935 modules/core/test/test_math.cpp types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth, cn); cn 939 modules/core/test/test_math.cpp sizes[INPUT][1] = Size(cn + 1, cn + 1); cn 961 modules/core/test/test_math.cpp int cn, depth, mat_depth; cn 968 modules/core/test/test_math.cpp cn = CV_MAT_CN(a->type); cn 989 modules/core/test/test_math.cpp cols = a->cols * cn; cn 1011 modules/core/test/test_math.cpp switch( cn ) cn 107 modules/core/test/test_rand.cpp int c, cn = (cvtest::randInt(rng) % 4) + 1; cn 108 modules/core/test/test_rand.cpp int type = CV_MAKETYPE(depth, cn); cn 110 modules/core/test/test_rand.cpp int i, k, SZ = N/cn; cn 125 modules/core/test/test_rand.cpp for( c = 0; c < cn; c++ ) cn 184 modules/core/test/test_rand.cpp for( c = 0; c < cn; c++ ) cn 196 modules/core/test/test_rand.cpp for( i = c; i < SZ*cn; i += cn ) cn 228 modules/core/test/test_rand.cpp A[c], B[c], c, cn); cn 235 modules/core/test/test_rand.cpp A[c], B[c], A[c], B[c], c, cn); cn 245 modules/core/test/test_rand.cpp realval, refval, c, cn); cn 256 modules/core/test/test_rand.cpp int N0 = (SZ*cn/SDIM), n = 0; cn 260 modules/core/test/test_rand.cpp for( c = 0; c < cn; c++ ) cn 266 modules/core/test/test_rand.cpp for( i = k = c = 0; i <= SZ*cn - SDIM; i++, k++, c++ ) cn 274 modules/core/test/test_rand.cpp c &= c < cn ? -1 : 0; cn 63 modules/core/test/test_umat.cpp int cn; cn 72 modules/core/test/test_umat.cpp cn = GET_PARAM(1); cn 75 modules/core/test/test_umat.cpp type = CV_MAKE_TYPE(depth, cn); cn 146 modules/core/test/test_umat.cpp ASSERT_EQ(ua.channels(), cn); cn 273 modules/core/test/test_umat.cpp int cn; cn 280 modules/core/test/test_umat.cpp cn = GET_PARAM(1); cn 283 modules/core/test/test_umat.cpp type = CV_MAKE_TYPE(depth, cn); cn 361 modules/core/test/test_umat.cpp int cn; cn 367 modules/core/test/test_umat.cpp cn = GET_PARAM(1); cn 369 modules/core/test/test_umat.cpp type = CV_MAKE_TYPE(depth, cn); cn 436 modules/core/test/test_umat.cpp int cn; cn 443 modules/core/test/test_umat.cpp cn = GET_PARAM(1); cn 446 modules/core/test/test_umat.cpp type = CV_MAKE_TYPE(depth, cn); cn 485 modules/core/test/test_umat.cpp int cn; cn 492 modules/core/test/test_umat.cpp cn = GET_PARAM(1); cn 495 modules/core/test/test_umat.cpp type = CV_MAKE_TYPE(depth, cn); cn 132 modules/cudaarithm/src/element_operations.cpp const int cn = src1.empty() ? src2.channels() : src1.channels(); cn 142 modules/cudaarithm/src/element_operations.cpp CV_Assert( mask.empty() || (cn == 1 && mask.size() == size && mask.type() == CV_8UC1) ); cn 150 modules/cudaarithm/src/element_operations.cpp GpuMat dst = getOutputMat(_dst, size, CV_MAKE_TYPE(ddepth, cn), stream); cn 334 modules/cudaarithm/src/element_operations.cpp template <int DEPTH, int cn> struct NppShiftFunc cn 347 modules/cudaarithm/src/element_operations.cpp template <int DEPTH, int cn, typename NppShiftFunc<DEPTH, cn>::func_t func> struct NppShift cn 1904 modules/cudaarithm/test/test_element_operations.cpp const int cn = src.channels(); cn 1906 modules/cudaarithm/test/test_element_operations.cpp dst.create(src.size(), CV_MAKE_TYPE(CV_8U, cn)); cn 1912 modules/cudaarithm/test/test_element_operations.cpp for (int c = 0; c < cn; ++c) cn 1914 modules/cudaarithm/test/test_element_operations.cpp T src_val = src.at<T>(y, x * cn + c); cn 1916 modules/cudaarithm/test/test_element_operations.cpp dst.at<uchar>(y, x * cn + c) = static_cast<uchar>(static_cast<int>(op(src_val, sc_val)) * 255); cn 2149 modules/cudaarithm/test/test_element_operations.cpp const int cn = src.channels(); cn 2157 modules/cudaarithm/test/test_element_operations.cpp for (int c = 0; c < cn; ++c) cn 2158 modules/cudaarithm/test/test_element_operations.cpp dst.at<T>(y, x * cn + c) = src.at<T>(y, x * cn + c) >> val.val[c]; cn 2229 modules/cudaarithm/test/test_element_operations.cpp const int cn = src.channels(); cn 2237 modules/cudaarithm/test/test_element_operations.cpp for (int c = 0; c < cn; ++c) cn 2238 modules/cudaarithm/test/test_element_operations.cpp dst.at<T>(y, x * cn + c) = src.at<T>(y, x * cn + c) << val.val[c]; cn 295 modules/cudaarithm/test/test_opengl.cpp int cn; cn 304 modules/cudaarithm/test/test_opengl.cpp cn = CV_MAT_CN(type); cn 305 modules/cudaarithm/test/test_opengl.cpp format = cn == 1 ? cv::ogl::Texture2D::DEPTH_COMPONENT : cn == 3 ? cv::ogl::Texture2D::RGB : cn == 4 ? cv::ogl::Texture2D::RGBA : cv::ogl::Texture2D::NONE; cn 184 modules/cudaarithm/test/test_reductions.cpp const int cn = src.channels(); cn 192 modules/cudaarithm/test/test_reductions.cpp for (int c = 0; c < cn; ++c) cn 193 modules/cudaarithm/test/test_reductions.cpp sum[c] += std::abs(src.at<T>(y, x * cn + c)); cn 221 modules/cudaarithm/test/test_reductions.cpp const int cn = src.channels(); cn 229 modules/cudaarithm/test/test_reductions.cpp for (int c = 0; c < cn; ++c) cn 231 modules/cudaarithm/test/test_reductions.cpp const T val = src.at<T>(y, x * cn + c); cn 77 modules/cudabgsegm/perf/perf_bgsegm.cpp const int cn = GET_PARAM(1); cn 88 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 91 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 115 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 118 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 142 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 145 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 181 modules/cudabgsegm/perf/perf_bgsegm.cpp const int cn = GET_PARAM(1); cn 191 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 194 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 219 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 222 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 246 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 249 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 280 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 283 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 305 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 308 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 334 modules/cudabgsegm/perf/perf_bgsegm.cpp const int cn = GET_PARAM(1); cn 353 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 356 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 384 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn != 3) cn 387 modules/cudabgsegm/perf/perf_bgsegm.cpp if (cn == 1) cn 58 modules/cudabgsegm/src/mog.cpp void mog_gpu(PtrStepSzb frame, int cn, PtrStepSzb fgmask, PtrStepSzf weight, PtrStepSzf sortKey, PtrStepSzb mean, PtrStepSzb var, cn 61 modules/cudabgsegm/src/mog.cpp void getBackgroundImage_gpu(int cn, PtrStepSzf weight, PtrStepSzb mean, PtrStepSzb dst, int nmixtures, float backgroundRatio, cudaStream_t stream); cn 59 modules/cudabgsegm/src/mog2.cpp void mog2_gpu(PtrStepSzb frame, int cn, PtrStepSzb fgmask, PtrStepSzb modesUsed, PtrStepSzf weight, PtrStepSzf variance, PtrStepSzb mean, float alphaT, float prune, bool detectShadows, cudaStream_t stream); cn 60 modules/cudabgsegm/src/mog2.cpp void getBackgroundImage2_gpu(int cn, PtrStepSzb modesUsed, PtrStepSzf weight, PtrStepSzb mean, PtrStepSzb dst, cudaStream_t stream); cn 72 modules/cudafilters/src/cuda/column_filter.hpp typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type sum_t; cn 72 modules/cudafilters/src/cuda/row_filter.hpp typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type sum_t; cn 366 modules/cudafilters/src/filtering.cpp const int cn = CV_MAT_CN(srcType); cn 372 modules/cudafilters/src/filtering.cpp CV_Assert( sdepth <= CV_64F && cn <= 4 ); cn 392 modules/cudafilters/src/filtering.cpp bufType_ = CV_MAKE_TYPE(CV_32F, cn); cn 394 modules/cudafilters/src/filtering.cpp rowFilter_ = rowFilterFuncs[sdepth][cn - 1]; cn 397 modules/cudafilters/src/filtering.cpp columnFilter_ = columnFilterFuncs[ddepth][cn - 1]; cn 226 modules/cudafilters/test/test_filters.cpp int cn; cn 239 modules/cudafilters/test/test_filters.cpp cn = GET_PARAM(3); cn 247 modules/cudafilters/test/test_filters.cpp type = CV_MAKE_TYPE(depth, cn); cn 295 modules/cudafilters/test/test_filters.cpp int cn; cn 309 modules/cudafilters/test/test_filters.cpp cn = GET_PARAM(3); cn 318 modules/cudafilters/test/test_filters.cpp type = CV_MAKE_TYPE(depth, cn); cn 362 modules/cudafilters/test/test_filters.cpp int cn; cn 375 modules/cudafilters/test/test_filters.cpp cn = GET_PARAM(3); cn 383 modules/cudafilters/test/test_filters.cpp type = CV_MAKE_TYPE(depth, cn); cn 426 modules/cudafilters/test/test_filters.cpp int cn; cn 438 modules/cudafilters/test/test_filters.cpp cn = GET_PARAM(3); cn 445 modules/cudafilters/test/test_filters.cpp type = CV_MAKE_TYPE(depth, cn); cn 66 modules/cudaimgproc/perf/perf_match_template.cpp const int cn = GET_PARAM(2); cn 69 modules/cudaimgproc/perf/perf_match_template.cpp cv::Mat image(size, CV_MAKE_TYPE(CV_8U, cn)); cn 70 modules/cudaimgproc/perf/perf_match_template.cpp cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn)); cn 108 modules/cudaimgproc/perf/perf_match_template.cpp const int cn = GET_PARAM(2); cn 111 modules/cudaimgproc/perf/perf_match_template.cpp cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn)); cn 112 modules/cudaimgproc/perf/perf_match_template.cpp cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn)); cn 62 modules/cudaimgproc/src/blend.cpp void blendLinearCaller(int rows, int cols, int cn, PtrStep<T> img1, PtrStep<T> img2, PtrStepf weights1, PtrStepf weights2, PtrStep<T> result, cudaStream_t stream); cn 88 modules/cudaimgproc/src/blend.cpp const int cn = img1.channels(); cn 90 modules/cudaimgproc/src/blend.cpp _result.create(size, CV_MAKE_TYPE(depth, cn)); cn 96 modules/cudaimgproc/src/blend.cpp if (cn != 4) cn 97 modules/cudaimgproc/src/blend.cpp blendLinearCaller<uchar>(size.height, size.width, cn, img1, img2, weights1, weights2, result, StreamAccessor::getStream(stream)); cn 102 modules/cudaimgproc/src/blend.cpp blendLinearCaller<float>(size.height, size.width, cn, img1, img2, weights1, weights2, result, StreamAccessor::getStream(stream)); cn 68 modules/cudaimgproc/src/color.cpp template <int cn> cn 70 modules/cudaimgproc/src/color.cpp template <int cn> cn 73 modules/cudaimgproc/src/color.cpp template <int cn> cn 89 modules/cudaimgproc/src/corners.cpp const int cn = CV_MAT_CN(srcType_); cn 91 modules/cudaimgproc/src/corners.cpp CV_Assert( cn == 1 ); cn 58 modules/cudaimgproc/src/match_template.cpp void matchTemplateNaive_CCORR_8U(const PtrStepSzb image, const PtrStepSzb templ, PtrStepSzf result, int cn, cudaStream_t stream); cn 59 modules/cudaimgproc/src/match_template.cpp void matchTemplateNaive_CCORR_32F(const PtrStepSzb image, const PtrStepSzb templ, PtrStepSzf result, int cn, cudaStream_t stream); cn 61 modules/cudaimgproc/src/match_template.cpp void matchTemplateNaive_SQDIFF_8U(const PtrStepSzb image, const PtrStepSzb templ, PtrStepSzf result, int cn, cudaStream_t stream); cn 62 modules/cudaimgproc/src/match_template.cpp void matchTemplateNaive_SQDIFF_32F(const PtrStepSzb image, const PtrStepSzb templ, PtrStepSzf result, int cn, cudaStream_t stream); cn 65 modules/cudaimgproc/src/match_template.cpp int cn, cudaStream_t stream); cn 68 modules/cudaimgproc/src/match_template.cpp int cn, cudaStream_t stream); cn 134 modules/cudaimgproc/src/match_template.cpp double templ_sqsum, PtrStepSzf result, int cn, cudaStream_t stream); cn 136 modules/cudaimgproc/src/match_template.cpp void extractFirstChannel_32F(const PtrStepSzb image, PtrStepSzf result, int cn, cudaStream_t stream); cn 59 modules/cudaimgproc/test/test_blend.cpp int cn = img1.channels(); cn 69 modules/cudaimgproc/test/test_blend.cpp for (int x = 0; x < img1.cols * cn; ++x) cn 71 modules/cudaimgproc/test/test_blend.cpp float w1 = weights1_row[x / cn]; cn 72 modules/cudaimgproc/test/test_blend.cpp float w2 = weights2_row[x / cn]; cn 65 modules/cudaimgproc/test/test_match_template.cpp int cn; cn 73 modules/cudaimgproc/test/test_match_template.cpp cn = GET_PARAM(3); cn 82 modules/cudaimgproc/test/test_match_template.cpp cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn)); cn 83 modules/cudaimgproc/test/test_match_template.cpp cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn)); cn 122 modules/cudaimgproc/test/test_match_template.cpp int cn; cn 132 modules/cudaimgproc/test/test_match_template.cpp cn = GET_PARAM(3); cn 141 modules/cudaimgproc/test/test_match_template.cpp cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn)); cn 142 modules/cudaimgproc/test/test_match_template.cpp cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn)); cn 57 modules/cudalegacy/include/opencv2/cudalegacy/NCVPyramid.hpp CV_EXPORTS void downsampleX2(PtrStepSzb src, PtrStepSzb dst, int depth, int cn, cudaStream_t stream); cn 58 modules/cudalegacy/include/opencv2/cudalegacy/NCVPyramid.hpp CV_EXPORTS void interpolateFrom1(PtrStepSzb src, PtrStepSzb dst, int depth, int cn, cudaStream_t stream); cn 151 modules/cudalegacy/perf/perf_bgsegm.cpp const int cn = GET_PARAM(1); cn 161 modules/cudalegacy/perf/perf_bgsegm.cpp if (cn != 3) cn 164 modules/cudalegacy/perf/perf_bgsegm.cpp if (cn == 1) cn 194 modules/cudalegacy/perf/perf_bgsegm.cpp if (cn != 3) cn 197 modules/cudalegacy/perf/perf_bgsegm.cpp if (cn == 1) cn 226 modules/cudalegacy/perf/perf_bgsegm.cpp if (cn != 3) cn 229 modules/cudalegacy/perf/perf_bgsegm.cpp if (cn == 1) cn 158 modules/cudaoptflow/src/pyrlk.cpp int cn = prevImg.channels(); cn 160 modules/cudaoptflow/src/pyrlk.cpp if (cn == 1 || cn == 4) cn 186 modules/cudaoptflow/src/pyrlk.cpp if (cn == 1) cn 56 modules/cudawarping/test/test_remap.cpp const int cn = src.channels(); cn 66 modules/cudawarping/test/test_remap.cpp for (int c = 0; c < cn; ++c) cn 67 modules/cudawarping/test/test_remap.cpp dst.at<T>(y, x * cn + c) = Interpolator<T>::getValue(src, ymap.at<float>(y, x), xmap.at<float>(y, x), c, borderType, borderVal); cn 57 modules/cudawarping/test/test_resize.cpp const int cn = src.channels(); cn 70 modules/cudawarping/test/test_resize.cpp for (int c = 0; c < cn; ++c) cn 71 modules/cudawarping/test/test_resize.cpp dst.at<T>(y, x * cn + c) = Interpolator<T>::getValue(src, y * ify, x * ifx, c, cv::BORDER_REPLICATE); cn 116 modules/cudawarping/test/test_warp_affine.cpp const int cn = src.channels(); cn 127 modules/cudawarping/test/test_warp_affine.cpp for (int c = 0; c < cn; ++c) cn 128 modules/cudawarping/test/test_warp_affine.cpp dst.at<T>(y, x * cn + c) = Interpolator<T>::getValue(src, ycoo, xcoo, c, borderType, borderVal); cn 117 modules/cudawarping/test/test_warp_perspective.cpp const int cn = src.channels(); cn 130 modules/cudawarping/test/test_warp_perspective.cpp for (int c = 0; c < cn; ++c) cn 131 modules/cudawarping/test/test_warp_perspective.cpp dst.at<T>(y, x * cn + c) = Interpolator<T>::getValue(src, ycoo, xcoo, c, borderType, borderVal); cn 132 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct equal_to : binary_function<T, T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 134 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 142 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct not_equal_to : binary_function<T, T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 144 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 152 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct greater : binary_function<T, T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 154 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 162 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct less : binary_function<T, T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 164 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 172 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct greater_equal : binary_function<T, T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 174 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 182 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct less_equal : binary_function<T, T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 184 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 194 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct logical_and : binary_function<T, T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 196 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 204 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct logical_or : binary_function<T, T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 206 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 214 modules/cudev/include/opencv2/cudev/functional/functional.hpp template <typename T> struct logical_not : unary_function<T, typename MakeVec<uchar, VecTraits<T>::cn>::type> cn 216 modules/cudev/include/opencv2/cudev/functional/functional.hpp __device__ __forceinline__ typename MakeVec<uchar, VecTraits<T>::cn>::type cn 451 modules/cudev/include/opencv2/cudev/functional/functional.hpp VecTraits<T>::cn cn 66 modules/cudev/include/opencv2/cudev/grid/detail/pyr_down.hpp typedef typename MakeVec<work_elem_type, VecTraits<src_type>::cn>::type work_type; cn 66 modules/cudev/include/opencv2/cudev/grid/detail/pyr_up.hpp typedef typename MakeVec<work_elem_type, VecTraits<src_type>::cn>::type work_type; cn 66 modules/cudev/include/opencv2/cudev/grid/detail/reduce.hpp template <int cn> struct Unroll; cn 159 modules/cudev/include/opencv2/cudev/grid/detail/reduce.hpp template <typename R, int cn> struct AtomicUnroll; cn 262 modules/cudev/include/opencv2/cudev/grid/detail/reduce.hpp enum { cn = VecTraits<src_type>::cn }; cn 279 modules/cudev/include/opencv2/cudev/grid/detail/reduce.hpp __shared__ work_elem_type smem[BLOCK_SIZE * cn]; cn 281 modules/cudev/include/opencv2/cudev/grid/detail/reduce.hpp blockReduce<BLOCK_SIZE>(Unroll<cn>::template smem<BLOCK_SIZE>(smem), Unroll<cn>::res(sum), tid, Unroll<cn>::op(plus<work_elem_type>())); cn 284 modules/cudev/include/opencv2/cudev/grid/detail/reduce.hpp AtomicUnroll<work_elem_type, cn>::add(result, sum); cn 57 modules/cudev/include/opencv2/cudev/grid/detail/reduce_to_column.hpp template <int BLOCK_SIZE, typename work_type, typename work_elem_type, class Reductor, int cn> struct Reduce; cn 100 modules/cudev/include/opencv2/cudev/grid/detail/reduce_to_column.hpp const int cn = VecTraits<work_type>::cn; cn 102 modules/cudev/include/opencv2/cudev/grid/detail/reduce_to_column.hpp __shared__ work_elem_type smem[cn][BLOCK_SIZE]; cn 118 modules/cudev/include/opencv2/cudev/grid/detail/reduce_to_column.hpp Reduce<BLOCK_SIZE, work_type, work_elem_type, Reductor, cn>::call(smem, myVal); cn 155 modules/cudev/include/opencv2/cudev/grid/detail/split_merge.hpp template <int cn, class Policy> struct MergeImpl; cn 62 modules/cudev/include/opencv2/cudev/grid/detail/transform.hpp template <int cn> struct OpUnroller; cn 362 modules/cudev/include/opencv2/cudev/grid/detail/transform.hpp TransformDispatcher<VecTraits<SrcType>::cn == 1 && VecTraits<DstType>::cn == 1 && Policy::shift != 1, Policy>::call(src, dst, op, mask, rows, cols, stream); cn 368 modules/cudev/include/opencv2/cudev/grid/detail/transform.hpp TransformDispatcher<VecTraits<SrcType1>::cn == 1 && VecTraits<SrcType2>::cn == 1 && VecTraits<DstType>::cn == 1 && Policy::shift != 1, Policy>::call(src1, src2, dst, op, mask, rows, cols, stream); cn 68 modules/cudev/include/opencv2/cudev/grid/reduce.hpp CV_StaticAssert( unsigned(VecTraits<src_type>::cn) == unsigned(VecTraits<ResType>::cn), "" ); cn 90 modules/cudev/include/opencv2/cudev/grid/reduce.hpp CV_StaticAssert( unsigned(VecTraits<src_type>::cn) == unsigned(VecTraits<ResType>::cn), "" ); cn 66 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<DstType>::cn == tuple_size<SrcPtrTuple>::value, "" ); cn 75 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp grid_split_merge_detail::MergeImpl<VecTraits<DstType>::cn, Policy>::merge(shrinkPtr(src), cn 85 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<DstType>::cn == tuple_size<SrcPtrTuple>::value, "" ); cn 93 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp grid_split_merge_detail::MergeImpl<VecTraits<DstType>::cn, Policy>::merge(shrinkPtr(src), cn 103 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<DstType>::cn == tuple_size<SrcPtrTuple>::value, "" ); cn 110 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp grid_split_merge_detail::MergeImpl<VecTraits<DstType>::cn, Policy>::merge(shrinkPtr(src), cn 120 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<DstType>::cn == tuple_size<SrcPtrTuple>::value, "" ); cn 127 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp grid_split_merge_detail::MergeImpl<VecTraits<DstType>::cn, Policy>::merge(shrinkPtr(src), cn 137 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 2, "" ); cn 157 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 2, "" ); cn 177 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 2, "" ); cn 196 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 2, "" ); cn 214 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 2, "" ); cn 232 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 2, "" ); cn 250 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 3, "" ); cn 271 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 3, "" ); cn 292 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 3, "" ); cn 312 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 3, "" ); cn 331 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 3, "" ); cn 350 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 3, "" ); cn 369 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 4, "" ); cn 391 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 4, "" ); cn 413 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 4, "" ); cn 434 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 4, "" ); cn 454 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 4, "" ); cn 474 modules/cudev/include/opencv2/cudev/grid/split_merge.hpp CV_StaticAssert( VecTraits<typename PtrTraits<SrcPtr>::value_type>::cn == 4, "" ); cn 148 modules/cudev/include/opencv2/cudev/ptr2d/gpumat.hpp template <int cn, typename T> cn 149 modules/cudev/include/opencv2/cudev/ptr2d/gpumat.hpp __host__ GpuMat_<typename MakeVec<typename VecTraits<T>::elem_type, cn>::type> cn 152 modules/cudev/include/opencv2/cudev/ptr2d/gpumat.hpp GpuMat_<typename MakeVec<typename VecTraits<T>::elem_type, cn>::type> dst(mat.reshape(cn, rows)); cn 109 modules/cudev/include/opencv2/cudev/ptr2d/interpolation.hpp typedef typename MakeVec<work_elem_type, VecTraits<src_type>::cn>::type work_type; cn 184 modules/cudev/include/opencv2/cudev/ptr2d/interpolation.hpp typedef typename MakeVec<work_elem_type, VecTraits<src_type>::cn>::type work_type; cn 247 modules/cudev/include/opencv2/cudev/ptr2d/interpolation.hpp typedef typename MakeVec<work_elem_type, VecTraits<src_type>::cn>::type work_type; cn 307 modules/cudev/include/opencv2/cudev/ptr2d/interpolation.hpp typedef typename MakeVec<work_elem_type, VecTraits<src_type>::cn>::type work_type; cn 158 modules/cudev/include/opencv2/cudev/util/type_traits.hpp unsigned(VecTraits<A>::cn) != unsigned(VecTraits<B>::cn), cn 165 modules/cudev/include/opencv2/cudev/util/type_traits.hpp VecTraits<A>::cn cn 61 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template <int cn, typename VecD> struct SatCastHelper; cn 100 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const uchar1& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 101 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const char1& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 102 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const ushort1& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 103 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const short1& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 104 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const uint1& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 105 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const int1& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 106 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const float1& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 107 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const double1& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 109 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const uchar2& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 110 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const char2& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 111 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const ushort2& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 112 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const short2& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 113 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const uint2& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 114 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const int2& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 115 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const float2& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 116 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const double2& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 118 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const uchar3& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 119 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const char3& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 120 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const ushort3& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 121 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const short3& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 122 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const uint3& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 123 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const int3& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 124 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const float3& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 125 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const double3& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 127 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const uchar4& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 128 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const char4& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 129 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const ushort4& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 130 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const short4& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 131 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const uint4& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 132 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const int4& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 133 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const float4& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 134 modules/cudev/include/opencv2/cudev/util/vec_math.hpp template<typename T> __device__ __forceinline__ T saturate_cast(const double4& v) { return vec_math_detail::SatCastHelper<VecTraits<T>::cn, T>::cast(v); } cn 63 modules/imgproc/perf/opencl/perf_accumulate.cpp const int srcType = get<1>(params), cn = CV_MAT_CN(srcType), dstType = CV_32FC(cn); cn 84 modules/imgproc/perf/opencl/perf_accumulate.cpp const int srcType = get<1>(params), cn = CV_MAT_CN(srcType), dstType = CV_32FC(cn); cn 105 modules/imgproc/perf/opencl/perf_accumulate.cpp const int srcType = get<1>(params), cn = CV_MAT_CN(srcType), dstType = CV_32FC(cn); cn 126 modules/imgproc/perf/opencl/perf_accumulate.cpp const int srcType = get<1>(params), cn = CV_MAT_CN(srcType), dstType = CV_32FC(cn); cn 91 modules/imgproc/src/accum.cpp int operator() (const uchar * src, float * dst, const uchar * mask, int len, int cn) const cn 97 modules/imgproc/src/accum.cpp len *= cn; cn 109 modules/imgproc/src/accum.cpp else if (cn == 1) cn 132 modules/imgproc/src/accum.cpp int operator() (const ushort * src, float * dst, const uchar * mask, int len, int cn) const cn 138 modules/imgproc/src/accum.cpp len *= cn; cn 156 modules/imgproc/src/accum.cpp int operator() (const float * src, float * dst, const uchar * mask, int len, int cn) const cn 162 modules/imgproc/src/accum.cpp len *= cn; cn 177 modules/imgproc/src/accum.cpp int operator() (const uchar * src, float * dst, const uchar * mask, int len, int cn) const cn 183 modules/imgproc/src/accum.cpp len *= cn; cn 196 modules/imgproc/src/accum.cpp else if (cn == 1) cn 220 modules/imgproc/src/accum.cpp int operator() (const ushort * src, float * dst, const uchar * mask, int len, int cn) const cn 226 modules/imgproc/src/accum.cpp len *= cn; cn 237 modules/imgproc/src/accum.cpp else if (cn == 1) cn 263 modules/imgproc/src/accum.cpp int operator() (const float * src, float * dst, const uchar * mask, int len, int cn) const cn 269 modules/imgproc/src/accum.cpp len *= cn; cn 287 modules/imgproc/src/accum.cpp int operator() (const uchar * src1, const uchar * src2, float * dst, const uchar * mask, int len, int cn) const cn 293 modules/imgproc/src/accum.cpp len *= cn; cn 306 modules/imgproc/src/accum.cpp else if (cn == 1) cn 331 modules/imgproc/src/accum.cpp int operator() (const ushort * src1, const ushort * src2, float * dst, const uchar * mask, int len, int cn) const cn 337 modules/imgproc/src/accum.cpp len *= cn; cn 348 modules/imgproc/src/accum.cpp else if (cn == 1) cn 375 modules/imgproc/src/accum.cpp int operator() (const float * src1, const float * src2, float * dst, const uchar * mask, int len, int cn) const cn 381 modules/imgproc/src/accum.cpp len *= cn; cn 396 modules/imgproc/src/accum.cpp int operator() (const uchar * src, float * dst, const uchar * mask, int len, int cn, float alpha) const cn 403 modules/imgproc/src/accum.cpp len *= cn; cn 427 modules/imgproc/src/accum.cpp int operator() (const ushort * src, float * dst, const uchar * mask, int len, int cn, float alpha) const cn 434 modules/imgproc/src/accum.cpp len *= cn; cn 452 modules/imgproc/src/accum.cpp int operator() (const float * src, float * dst, const uchar * mask, int len, int cn, float alpha) const cn 459 modules/imgproc/src/accum.cpp len *= cn; cn 474 modules/imgproc/src/accum.cpp acc_( const T* src, AT* dst, const uchar* mask, int len, int cn ) cn 476 modules/imgproc/src/accum.cpp int i = Acc_SIMD<T, AT>()(src, dst, mask, len, cn); cn 480 modules/imgproc/src/accum.cpp len *= cn; cn 497 modules/imgproc/src/accum.cpp else if( cn == 1 ) cn 505 modules/imgproc/src/accum.cpp else if( cn == 3 ) cn 521 modules/imgproc/src/accum.cpp for( ; i < len; i++, src += cn, dst += cn ) cn 524 modules/imgproc/src/accum.cpp for( int k = 0; k < cn; k++ ) cn 532 modules/imgproc/src/accum.cpp accSqr_( const T* src, AT* dst, const uchar* mask, int len, int cn ) cn 534 modules/imgproc/src/accum.cpp int i = AccSqr_SIMD<T, AT>()(src, dst, mask, len, cn); cn 538 modules/imgproc/src/accum.cpp len *= cn; cn 555 modules/imgproc/src/accum.cpp else if( cn == 1 ) cn 563 modules/imgproc/src/accum.cpp else if( cn == 3 ) cn 579 modules/imgproc/src/accum.cpp for( ; i < len; i++, src += cn, dst += cn ) cn 582 modules/imgproc/src/accum.cpp for( int k = 0; k < cn; k++ ) cn 590 modules/imgproc/src/accum.cpp accProd_( const T* src1, const T* src2, AT* dst, const uchar* mask, int len, int cn ) cn 592 modules/imgproc/src/accum.cpp int i = AccProd_SIMD<T, AT>()(src1, src2, dst, mask, len, cn); cn 596 modules/imgproc/src/accum.cpp len *= cn; cn 613 modules/imgproc/src/accum.cpp else if( cn == 1 ) cn 621 modules/imgproc/src/accum.cpp else if( cn == 3 ) cn 637 modules/imgproc/src/accum.cpp for( ; i < len; i++, src1 += cn, src2 += cn, dst += cn ) cn 640 modules/imgproc/src/accum.cpp for( int k = 0; k < cn; k++ ) cn 648 modules/imgproc/src/accum.cpp accW_( const T* src, AT* dst, const uchar* mask, int len, int cn, double alpha ) cn 651 modules/imgproc/src/accum.cpp int i = AccW_SIMD<T, AT>()(src, dst, mask, len, cn, a); cn 655 modules/imgproc/src/accum.cpp len *= cn; cn 672 modules/imgproc/src/accum.cpp else if( cn == 1 ) cn 680 modules/imgproc/src/accum.cpp else if( cn == 3 ) cn 696 modules/imgproc/src/accum.cpp for( ; i < len; i++, src += cn, dst += cn ) cn 699 modules/imgproc/src/accum.cpp for( int k = 0; k < cn; k++ ) cn 708 modules/imgproc/src/accum.cpp const uchar* mask, int len, int cn) \ cn 709 modules/imgproc/src/accum.cpp { acc_(src, dst, mask, len, cn); } \ cn 712 modules/imgproc/src/accum.cpp const uchar* mask, int len, int cn) \ cn 713 modules/imgproc/src/accum.cpp { accSqr_(src, dst, mask, len, cn); } \ cn 716 modules/imgproc/src/accum.cpp acctype* dst, const uchar* mask, int len, int cn) \ cn 717 modules/imgproc/src/accum.cpp { accProd_(src1, src2, dst, mask, len, cn); } \ cn 720 modules/imgproc/src/accum.cpp const uchar* mask, int len, int cn, double alpha) \ cn 721 modules/imgproc/src/accum.cpp { accW_(src, dst, mask, len, cn, alpha); } cn 798 modules/imgproc/src/accum.cpp int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), ddepth = _dst.depth(); cn 799 modules/imgproc/src/accum.cpp int kercn = haveMask ? cn : ocl::predictOptimalVectorWidthMax(_src, _src2, _dst), rowsPerWI = dev.isIntel() ? 4 : 1; cn 821 modules/imgproc/src/accum.cpp dstarg = ocl::KernelArg::ReadWrite(dst, cn, kercn), cn 838 modules/imgproc/src/accum.cpp size_t globalsize[2] = { src.cols * cn / kercn, (src.rows + rowsPerWI - 1) / rowsPerWI }; cn 64 modules/imgproc/src/blend.cpp int cn = src1->channels(), width = src1->cols * cn; cn 76 modules/imgproc/src/blend.cpp int x1 = x / cn; cn 98 modules/imgproc/src/blend.cpp int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 103 modules/imgproc/src/blend.cpp cn, ocl::convertTypeStr(CV_32F, depth, 1, cvt))); cn 99 modules/imgproc/src/canny.cpp int aperture_size, bool L2gradient, int cn, const Size & size) cn 143 modules/imgproc/src/canny.cpp cn, ocl::memopTypeToStr(_src.depth()), cn 144 modules/imgproc/src/canny.cpp ocl::convertTypeStr(_src.depth(), CV_32F, cn, cvt), cn 145 modules/imgproc/src/canny.cpp ocl::typeToStr(CV_MAKE_TYPE(CV_32F, cn)), cn 177 modules/imgproc/src/canny.cpp cn, lSizeX, lSizeY, L2gradient ? " -D L2GRAD" : "")); cn 257 modules/imgproc/src/canny.cpp const int type = src.type(), cn = CV_MAT_CN(type); cn 270 modules/imgproc/src/canny.cpp Mat tempdx(boundaries.end - boundaries.start + 2, src.cols, CV_16SC(cn)); cn 271 modules/imgproc/src/canny.cpp Mat tempdy(boundaries.end - boundaries.start + 2, src.cols, CV_16SC(cn)); cn 273 modules/imgproc/src/canny.cpp memset(tempdx.ptr<short>(0), 0, cn * src.cols*sizeof(short)); cn 274 modules/imgproc/src/canny.cpp memset(tempdy.ptr<short>(0), 0, cn * src.cols*sizeof(short)); cn 275 modules/imgproc/src/canny.cpp memset(tempdx.ptr<short>(tempdx.rows - 1), 0, cn * src.cols*sizeof(short)); cn 276 modules/imgproc/src/canny.cpp memset(tempdy.ptr<short>(tempdy.rows - 1), 0, cn * src.cols*sizeof(short)); cn 286 modules/imgproc/src/canny.cpp Mat tempdx(boundaries.end - boundaries.start + 2 + ksize2, src.cols, CV_16SC(cn)); cn 287 modules/imgproc/src/canny.cpp Mat tempdy(boundaries.end - boundaries.start + 2 + ksize2, src.cols, CV_16SC(cn)); cn 289 modules/imgproc/src/canny.cpp memset(tempdx.ptr<short>(0), 0, cn * src.cols*sizeof(short)); cn 290 modules/imgproc/src/canny.cpp memset(tempdy.ptr<short>(0), 0, cn * src.cols*sizeof(short)); cn 302 modules/imgproc/src/canny.cpp Mat tempdx(boundaries.end - boundaries.start + 2 + ksize2, src.cols, CV_16SC(cn)); cn 303 modules/imgproc/src/canny.cpp Mat tempdy(boundaries.end - boundaries.start + 2 + ksize2, src.cols, CV_16SC(cn)); cn 305 modules/imgproc/src/canny.cpp memset(tempdx.ptr<short>(tempdx.rows - 1), 0, cn * src.cols*sizeof(short)); cn 306 modules/imgproc/src/canny.cpp memset(tempdy.ptr<short>(tempdy.rows - 1), 0, cn * src.cols*sizeof(short)); cn 318 modules/imgproc/src/canny.cpp Mat tempdx(boundaries.end - boundaries.start + 2 + 2*ksize2, src.cols, CV_16SC(cn)); cn 319 modules/imgproc/src/canny.cpp Mat tempdy(boundaries.end - boundaries.start + 2 + 2*ksize2, src.cols, CV_16SC(cn)); cn 335 modules/imgproc/src/canny.cpp AutoBuffer<uchar> buffer(cn * mapstep * 3 * sizeof(int)); cn 339 modules/imgproc/src/canny.cpp mag_buf[1] = mag_buf[0] + mapstep*cn; cn 340 modules/imgproc/src/canny.cpp mag_buf[2] = mag_buf[1] + mapstep*cn; cn 356 modules/imgproc/src/canny.cpp int j = 0, width = src.cols * cn; cn 390 modules/imgproc/src/canny.cpp int j = 0, width = src.cols * cn; cn 426 modules/imgproc/src/canny.cpp if (cn > 1) cn 428 modules/imgproc/src/canny.cpp for(int j = 0, jn = 0; j < src.cols; ++j, jn += cn) cn 431 modules/imgproc/src/canny.cpp for(int k = 1; k < cn; ++k) cn 584 modules/imgproc/src/canny.cpp const int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 603 modules/imgproc/src/canny.cpp CV_OCL_RUN(_dst.isUMat() && (cn == 1 || cn == 3), cn 604 modules/imgproc/src/canny.cpp ocl_Canny(_src, _dst, (float)low_thresh, (float)high_thresh, aperture_size, L2gradient, cn, size)) cn 616 modules/imgproc/src/canny.cpp if( aperture_size == 3 && !L2gradient && 1 == cn ) cn 691 modules/imgproc/src/canny.cpp Mat dx(src.rows, src.cols, CV_16SC(cn)); cn 692 modules/imgproc/src/canny.cpp Mat dy(src.rows, src.cols, CV_16SC(cn)); cn 709 modules/imgproc/src/canny.cpp AutoBuffer<uchar> buffer((src.cols+2)*(src.rows+2) + cn * mapstep * 3 * sizeof(int)); cn 713 modules/imgproc/src/canny.cpp mag_buf[1] = mag_buf[0] + mapstep*cn; cn 714 modules/imgproc/src/canny.cpp mag_buf[2] = mag_buf[1] + mapstep*cn; cn 717 modules/imgproc/src/canny.cpp uchar* map = (uchar*)(mag_buf[2] + mapstep*cn); cn 760 modules/imgproc/src/canny.cpp int j = 0, width = src.cols * cn; cn 794 modules/imgproc/src/canny.cpp int j = 0, width = src.cols * cn; cn 830 modules/imgproc/src/canny.cpp if (cn > 1) cn 832 modules/imgproc/src/canny.cpp for(int j = 0, jn = 0; j < src.cols; ++j, jn += cn) cn 835 modules/imgproc/src/canny.cpp for(int k = 1; k < cn; ++k) cn 112 modules/imgproc/src/color.cpp _Tp cn = 0; cn 125 modules/imgproc/src/color.cpp _Tp c = tab[i*4+1] - tab[i*4]*cn; cn 126 modules/imgproc/src/color.cpp _Tp b = f[i+1] - f[i] - (cn + c*2)*(_Tp)0.3333333333333333; cn 127 modules/imgproc/src/color.cpp _Tp d = (cn - c)*(_Tp)0.3333333333333333; cn 130 modules/imgproc/src/color.cpp cn = c; cn 6444 modules/imgproc/src/color.cpp const int cn = src_.channels(); cn 6455 modules/imgproc/src/color.cpp for( int j = 0, k = 0; j < w * cn; j += 2 * cn, k++ ) cn 6458 modules/imgproc/src/color.cpp int r01 = row0[2-bIdx + cn + j]; int g01 = row0[1 + cn + j]; int b01 = row0[bIdx + cn + j]; cn 6460 modules/imgproc/src/color.cpp int r11 = row1[2-bIdx + cn + j]; int g11 = row1[1 + cn + j]; int b11 = row1[bIdx + cn + j]; cn 609 modules/imgproc/src/corner.cpp int type = src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 614 modules/imgproc/src/corner.cpp (borderTypeNI == BORDER_CONSTANT || borderTypeNI == BORDER_REPLICATE) && cn == 1 && (!src.isSubmatrix() || isolated) ) cn 628 modules/imgproc/src/corner.cpp if (ippiHarrisCornerGetBufferSize(roisize, masksize, blockSize, datatype, cn, &bufsize) >= 0) cn 204 modules/imgproc/src/deriv.cpp int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype); cn 207 modules/imgproc/src/deriv.cpp int dtype = CV_MAKETYPE(ddepth, cn); cn 558 modules/imgproc/src/deriv.cpp int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype); cn 561 modules/imgproc/src/deriv.cpp int dtype = CV_MAKE_TYPE(ddepth, cn); cn 616 modules/imgproc/src/deriv.cpp int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype); cn 619 modules/imgproc/src/deriv.cpp int dtype = CV_MAKETYPE(ddepth, cn); cn 673 modules/imgproc/src/deriv.cpp int sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), esz = CV_ELEM_SIZE(stype); cn 693 modules/imgproc/src/deriv.cpp int loc_mem_cn = dev.vendorID() == ocl::Device::VENDOR_NVIDIA && cn == 3 ? 4 : cn; cn 707 modules/imgproc/src/deriv.cpp int dtype = CV_MAKE_TYPE(ddepth, cn); cn 730 modules/imgproc/src/deriv.cpp ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn 731 modules/imgproc/src/deriv.cpp ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]), cn 734 modules/imgproc/src/deriv.cpp ocl::typeToStr(CV_MAKETYPE(sdepth, cn)), cn 735 modules/imgproc/src/deriv.cpp ocl::typeToStr(CV_MAKETYPE(ddepth, cn)), cn 736 modules/imgproc/src/deriv.cpp ocl::typeToStr(CV_MAKETYPE(wdepth, cn)), cn 737 modules/imgproc/src/deriv.cpp cn); cn 787 modules/imgproc/src/deriv.cpp dstarg = ocl::KernelArg::WriteOnly(dst, cn, kercn); cn 794 modules/imgproc/src/deriv.cpp size_t globalsize[] = { dst.cols * cn / kercn, dst.rows }; cn 805 modules/imgproc/src/deriv.cpp int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype); cn 808 modules/imgproc/src/deriv.cpp _dst.create( _src.size(), CV_MAKETYPE(ddepth, cn) ); cn 904 modules/imgproc/src/deriv.cpp int wtype = CV_MAKETYPE(wdepth, cn); cn 2539 modules/imgproc/src/drawing.cpp int cn = CV_MAT_CN( type ); cn 2540 modules/imgproc/src/drawing.cpp switch( cn ) cn 183 modules/imgproc/src/filter.cpp int cn = CV_MAT_CN(srcType); cn 201 modules/imgproc/src/filter.cpp (*rowFilter)(&srcRow[0], dst, maxWidth, cn); cn 305 modules/imgproc/src/filter.cpp int cn = CV_MAT_CN(bufType); cn 385 modules/imgproc/src/filter.cpp (*columnFilter)((const uchar**)brows, dst, dststep, i, roi.width*cn); cn 387 modules/imgproc/src/filter.cpp (*filter2D)((const uchar**)brows, dst, dststep, i, roi.width, cn); cn 524 modules/imgproc/src/filter.cpp int operator()(const uchar* _src, uchar* _dst, int width, int cn) const cn 532 modules/imgproc/src/filter.cpp width *= cn; cn 542 modules/imgproc/src/filter.cpp for( k = 0; k < _ksize; k++, src += cn ) cn 573 modules/imgproc/src/filter.cpp for( k = 0; k < _ksize; k++, src += cn ) cn 616 modules/imgproc/src/filter.cpp int operator()(const uchar* src, uchar* _dst, int width, int cn) const cn 628 modules/imgproc/src/filter.cpp src += (_ksize/2)*cn; cn 629 modules/imgproc/src/filter.cpp width *= cn; cn 642 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src - cn)); cn 644 modules/imgproc/src/filter.cpp x2 = _mm_loadu_si128((__m128i*)(src + cn)); cn 662 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src - cn)); cn 664 modules/imgproc/src/filter.cpp x2 = _mm_loadu_si128((__m128i*)(src + cn)); cn 688 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src - cn)); cn 690 modules/imgproc/src/filter.cpp x2 = _mm_loadu_si128((__m128i*)(src + cn)); cn 726 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src - cn*2)); cn 728 modules/imgproc/src/filter.cpp x2 = _mm_loadu_si128((__m128i*)(src + cn*2)); cn 754 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src - cn)); cn 756 modules/imgproc/src/filter.cpp x2 = _mm_loadu_si128((__m128i*)(src + cn)); cn 780 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src - cn*2)); cn 781 modules/imgproc/src/filter.cpp x1 = _mm_loadu_si128((__m128i*)(src + cn*2)); cn 810 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src + cn)); cn 811 modules/imgproc/src/filter.cpp x1 = _mm_loadu_si128((__m128i*)(src - cn)); cn 827 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src + cn)); cn 828 modules/imgproc/src/filter.cpp x1 = _mm_loadu_si128((__m128i*)(src - cn)); cn 860 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src + cn)); cn 861 modules/imgproc/src/filter.cpp x2 = _mm_loadu_si128((__m128i*)(src - cn)); cn 874 modules/imgproc/src/filter.cpp x0 = _mm_loadu_si128((__m128i*)(src + cn*2)); cn 875 modules/imgproc/src/filter.cpp x1 = _mm_loadu_si128((__m128i*)(src - cn*2)); cn 896 modules/imgproc/src/filter.cpp src -= (_ksize/2)*cn; cn 902 modules/imgproc/src/filter.cpp for( k = j = 0; k < _ksize; k++, j += cn ) cn 1217 modules/imgproc/src/filter.cpp int operator()(const uchar* _src, uchar* _dst, int width, int cn) const cn 1225 modules/imgproc/src/filter.cpp width *= cn; cn 1231 modules/imgproc/src/filter.cpp for( k = 0; k < _ksize; k++, src += cn ) cn 1423 modules/imgproc/src/filter.cpp int operator()(const uchar* _src, uchar* _dst, int width, int cn) const cn 1428 modules/imgproc/src/filter.cpp int ret = ippiOperator(_src, _dst, width, cn); cn 1442 modules/imgproc/src/filter.cpp width *= cn; cn 1448 modules/imgproc/src/filter.cpp for( k = 0; k < _ksize; k++, src += cn ) cn 1469 modules/imgproc/src/filter.cpp int ippiOperator(const uchar* _src, uchar* _dst, int width, int cn) const cn 1472 modules/imgproc/src/filter.cpp if ((1 != cn && 3 != cn) || width < _ksize*8) cn 1482 modules/imgproc/src/filter.cpp if( (cn == 1 && ippiFilterRowBorderPipelineGetBufferSize_32f_C1R(roisz, _ksize, &bufsz) < 0) || cn 1483 modules/imgproc/src/filter.cpp (cn == 3 && ippiFilterRowBorderPipelineGetBufferSize_32f_C3R(roisz, _ksize, &bufsz) < 0)) cn 1488 modules/imgproc/src/filter.cpp int step = (int)(width*sizeof(dst[0])*cn); cn 1492 modules/imgproc/src/filter.cpp if( (cn == 1 && ippiFilterRowBorderPipeline_32f_C1R(src, step, &dst, roisz, _kx, _ksize, 0, cn 1494 modules/imgproc/src/filter.cpp (cn == 3 && ippiFilterRowBorderPipeline_32f_C3R(src, step, &dst, roisz, _kx, _ksize, 0, cn 1516 modules/imgproc/src/filter.cpp int operator()(const uchar* _src, uchar* _dst, int width, int cn) const cn 1523 modules/imgproc/src/filter.cpp const float* src = (const float*)_src + (_ksize/2)*cn; cn 1526 modules/imgproc/src/filter.cpp width *= cn; cn 1538 modules/imgproc/src/filter.cpp x0 = _mm_loadu_ps(src - cn); cn 1540 modules/imgproc/src/filter.cpp x2 = _mm_loadu_ps(src + cn); cn 1541 modules/imgproc/src/filter.cpp y0 = _mm_loadu_ps(src - cn + 4); cn 1543 modules/imgproc/src/filter.cpp y2 = _mm_loadu_ps(src + cn + 4); cn 1553 modules/imgproc/src/filter.cpp x0 = _mm_loadu_ps(src - cn); cn 1555 modules/imgproc/src/filter.cpp x2 = _mm_loadu_ps(src + cn); cn 1556 modules/imgproc/src/filter.cpp y0 = _mm_loadu_ps(src - cn + 4); cn 1558 modules/imgproc/src/filter.cpp y2 = _mm_loadu_ps(src + cn + 4); cn 1570 modules/imgproc/src/filter.cpp x0 = _mm_loadu_ps(src - cn); cn 1572 modules/imgproc/src/filter.cpp x2 = _mm_loadu_ps(src + cn); cn 1573 modules/imgproc/src/filter.cpp y0 = _mm_loadu_ps(src - cn + 4); cn 1575 modules/imgproc/src/filter.cpp y2 = _mm_loadu_ps(src + cn + 4); cn 1592 modules/imgproc/src/filter.cpp x0 = _mm_loadu_ps(src - cn*2); cn 1594 modules/imgproc/src/filter.cpp x2 = _mm_loadu_ps(src + cn*2); cn 1595 modules/imgproc/src/filter.cpp y0 = _mm_loadu_ps(src - cn*2 + 4); cn 1597 modules/imgproc/src/filter.cpp y2 = _mm_loadu_ps(src + cn*2 + 4); cn 1609 modules/imgproc/src/filter.cpp x0 = _mm_loadu_ps(src - cn); cn 1611 modules/imgproc/src/filter.cpp x2 = _mm_loadu_ps(src + cn); cn 1612 modules/imgproc/src/filter.cpp y0 = _mm_loadu_ps(src - cn + 4); cn 1614 modules/imgproc/src/filter.cpp y2 = _mm_loadu_ps(src + cn + 4); cn 1621 modules/imgproc/src/filter.cpp x2 = _mm_add_ps(_mm_loadu_ps(src + cn*2), _mm_loadu_ps(src - cn*2)); cn 1622 modules/imgproc/src/filter.cpp y2 = _mm_add_ps(_mm_loadu_ps(src + cn*2 + 4), _mm_loadu_ps(src - cn*2 + 4)); cn 1640 modules/imgproc/src/filter.cpp x0 = _mm_loadu_ps(src + cn); cn 1641 modules/imgproc/src/filter.cpp x2 = _mm_loadu_ps(src - cn); cn 1642 modules/imgproc/src/filter.cpp y0 = _mm_loadu_ps(src + cn + 4); cn 1643 modules/imgproc/src/filter.cpp y2 = _mm_loadu_ps(src - cn + 4); cn 1655 modules/imgproc/src/filter.cpp x0 = _mm_loadu_ps(src + cn); cn 1656 modules/imgproc/src/filter.cpp x2 = _mm_loadu_ps(src - cn); cn 1657 modules/imgproc/src/filter.cpp y0 = _mm_loadu_ps(src + cn + 4); cn 1658 modules/imgproc/src/filter.cpp y2 = _mm_loadu_ps(src - cn + 4); cn 1673 modules/imgproc/src/filter.cpp x0 = _mm_loadu_ps(src + cn); cn 1674 modules/imgproc/src/filter.cpp x2 = _mm_loadu_ps(src - cn); cn 1675 modules/imgproc/src/filter.cpp y0 = _mm_loadu_ps(src + cn + 4); cn 1676 modules/imgproc/src/filter.cpp y2 = _mm_loadu_ps(src - cn + 4); cn 1681 modules/imgproc/src/filter.cpp x2 = _mm_sub_ps(_mm_loadu_ps(src + cn*2), _mm_loadu_ps(src - cn*2)); cn 1682 modules/imgproc/src/filter.cpp y2 = _mm_sub_ps(_mm_loadu_ps(src + cn*2 + 4), _mm_loadu_ps(src - cn*2 + 4)); cn 2232 modules/imgproc/src/filter.cpp int operator()(const uchar* src, uchar* _dst, int width, int cn) const cn 2244 modules/imgproc/src/filter.cpp src += (_ksize/2)*cn; cn 2245 modules/imgproc/src/filter.cpp width *= cn; cn 2260 modules/imgproc/src/filter.cpp x0 = vld1_u8( (uint8_t *) (src - cn) ); cn 2262 modules/imgproc/src/filter.cpp x2 = vld1_u8( (uint8_t *) (src + cn) ); cn 2289 modules/imgproc/src/filter.cpp x0 = vld1_u8( (uint8_t *) (src - cn) ); cn 2291 modules/imgproc/src/filter.cpp x2 = vld1_u8( (uint8_t *) (src + cn) ); cn 2325 modules/imgproc/src/filter.cpp x0 = vld1_u8( (uint8_t *) (src - cn) ); cn 2327 modules/imgproc/src/filter.cpp x2 = vld1_u8( (uint8_t *) (src + cn) ); cn 2339 modules/imgproc/src/filter.cpp x3 = vld1_u8( (uint8_t *) (src - cn*2) ); cn 2340 modules/imgproc/src/filter.cpp x4 = vld1_u8( (uint8_t *) (src + cn*2) ); cn 2362 modules/imgproc/src/filter.cpp x0 = vld1_u8( (uint8_t *) (src - cn) ); cn 2363 modules/imgproc/src/filter.cpp x1 = vld1_u8( (uint8_t *) (src + cn) ); cn 2385 modules/imgproc/src/filter.cpp x0 = vld1_u8( (uint8_t *) (src - cn) ); cn 2386 modules/imgproc/src/filter.cpp x1 = vld1_u8( (uint8_t *) (src + cn) ); cn 2413 modules/imgproc/src/filter.cpp x0 = vld1_u8( (uint8_t *) (src - cn) ); cn 2414 modules/imgproc/src/filter.cpp x1 = vld1_u8( (uint8_t *) (src + cn) ); cn 2424 modules/imgproc/src/filter.cpp x2 = vld1_u8( (uint8_t *) (src - cn*2) ); cn 2425 modules/imgproc/src/filter.cpp x3 = vld1_u8( (uint8_t *) (src + cn*2) ); cn 2939 modules/imgproc/src/filter.cpp int operator()(const uchar* _src, uchar* _dst, int width, int cn) const cn 2946 modules/imgproc/src/filter.cpp const float* src = (const float*)_src + (_ksize/2)*cn; cn 2949 modules/imgproc/src/filter.cpp width *= cn; cn 2982 modules/imgproc/src/filter.cpp x1 = vld1q_f32(src - cn); cn 2983 modules/imgproc/src/filter.cpp x2 = vld1q_f32(src + cn); cn 2984 modules/imgproc/src/filter.cpp x3 = vld1q_f32(src - cn*2); cn 2985 modules/imgproc/src/filter.cpp x4 = vld1q_f32(src + cn*2); cn 3018 modules/imgproc/src/filter.cpp x0 = vld1q_f32(src - cn); cn 3019 modules/imgproc/src/filter.cpp x1 = vld1q_f32(src + cn); cn 3020 modules/imgproc/src/filter.cpp x2 = vld1q_f32(src - cn*2); cn 3021 modules/imgproc/src/filter.cpp x3 = vld1q_f32(src + cn*2); cn 3084 modules/imgproc/src/filter.cpp void operator()(const uchar* src, uchar* dst, int width, int cn) cn 3092 modules/imgproc/src/filter.cpp i = vecOp(src, dst, width, cn); cn 3093 modules/imgproc/src/filter.cpp width *= cn; cn 3103 modules/imgproc/src/filter.cpp S += cn; cn 3119 modules/imgproc/src/filter.cpp S += cn; cn 3142 modules/imgproc/src/filter.cpp void operator()(const uchar* src, uchar* dst, int width, int cn) cn 3144 modules/imgproc/src/filter.cpp int ksize2 = this->ksize/2, ksize2n = ksize2*cn; cn 3148 modules/imgproc/src/filter.cpp int i = this->vecOp(src, dst, width, cn), j, k; cn 3150 modules/imgproc/src/filter.cpp width *= cn; cn 3168 modules/imgproc/src/filter.cpp DT s0 = S[-cn] + S[0]*2 + S[cn], s1 = S[1-cn] + S[1]*2 + S[1+cn]; cn 3174 modules/imgproc/src/filter.cpp DT s0 = S[-cn] - S[0]*2 + S[cn], s1 = S[1-cn] - S[1]*2 + S[1+cn]; cn 3182 modules/imgproc/src/filter.cpp DT s0 = S[0]*k0 + (S[-cn] + S[cn])*k1, s1 = S[1]*k0 + (S[1-cn] + S[1+cn])*k1; cn 3193 modules/imgproc/src/filter.cpp DT s0 = -2*S[0] + S[-cn*2] + S[cn*2]; cn 3194 modules/imgproc/src/filter.cpp DT s1 = -2*S[1] + S[1-cn*2] + S[1+cn*2]; cn 3200 modules/imgproc/src/filter.cpp DT s0 = S[0]*k0 + (S[-cn] + S[cn])*k1 + (S[-cn*2] + S[cn*2])*k2; cn 3201 modules/imgproc/src/filter.cpp DT s1 = S[1]*k0 + (S[1-cn] + S[1+cn])*k1 + (S[1-cn*2] + S[1+cn*2])*k2; cn 3209 modules/imgproc/src/filter.cpp for( k = 1, j = cn; k <= ksize2; k++, j += cn ) cn 3221 modules/imgproc/src/filter.cpp DT s0 = S[cn] - S[-cn], s1 = S[1+cn] - S[1-cn]; cn 3229 modules/imgproc/src/filter.cpp DT s0 = (S[cn] - S[-cn])*k1, s1 = (S[1+cn] - S[1-cn])*k1; cn 3239 modules/imgproc/src/filter.cpp DT s0 = (S[cn] - S[-cn])*k1 + (S[cn*2] - S[-cn*2])*k2; cn 3240 modules/imgproc/src/filter.cpp DT s1 = (S[1+cn] - S[1-cn])*k1 + (S[1+cn*2] - S[1-cn*2])*k2; cn 3248 modules/imgproc/src/filter.cpp for( k = 1, j = cn; k <= ksize2; k++, j += cn ) cn 3629 modules/imgproc/src/filter.cpp int cn = CV_MAT_CN(srcType); cn 3630 modules/imgproc/src/filter.cpp CV_Assert( cn == CV_MAT_CN(bufType) && cn 3684 modules/imgproc/src/filter.cpp int cn = CV_MAT_CN(dstType); cn 3685 modules/imgproc/src/filter.cpp CV_Assert( cn == CV_MAT_CN(bufType) && cn 3785 modules/imgproc/src/filter.cpp int cn = CV_MAT_CN(_srcType); cn 3786 modules/imgproc/src/filter.cpp CV_Assert( cn == CV_MAT_CN(_dstType) ); cn 3830 modules/imgproc/src/filter.cpp int _bufType = CV_MAKETYPE(bdepth, cn); cn 3919 modules/imgproc/src/filter.cpp void operator()(const uchar** src, uchar* dst, int dststep, int count, int width, int cn) cn 3928 modules/imgproc/src/filter.cpp width *= cn; cn 3934 modules/imgproc/src/filter.cpp kp[k] = (const ST*)src[pt[k].y] + pt[k].x*cn; cn 4009 modules/imgproc/src/filter.cpp int type = _src.type(), sdepth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 4011 modules/imgproc/src/filter.cpp int dtype = CV_MAKE_TYPE(ddepth, cn), wdepth = std::max(std::max(sdepth, ddepth), CV_32F), cn 4012 modules/imgproc/src/filter.cpp wtype = CV_MAKE_TYPE(wdepth, cn); cn 4013 modules/imgproc/src/filter.cpp if (cn > 4) cn 4056 modules/imgproc/src/filter.cpp (ksize.width == 5 && ksize.height == 5 && cn == 1))) cn 4067 modules/imgproc/src/filter.cpp int pxLoadNumPixels = cn != 1 || sz.width % 4 ? 1 : 4; cn 4068 modules/imgproc/src/filter.cpp int pxLoadVecSize = cn * pxLoadNumPixels; cn 4074 modules/imgproc/src/filter.cpp if (cn <= 2 && ksize.width <= 4 && ksize.height <= 4) cn 4079 modules/imgproc/src/filter.cpp else if (cn < 4 || (ksize.width <= 4 && ksize.height <= 4)) cn 4103 modules/imgproc/src/filter.cpp cn, anchor.x, anchor.y, ksize.width, ksize.height, cn 4110 modules/imgproc/src/filter.cpp ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn 4111 modules/imgproc/src/filter.cpp ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]), kerStr.c_str()); cn 4148 modules/imgproc/src/filter.cpp (int)BLOCK_SIZE, cn, anchor.x, anchor.y, cn 4155 modules/imgproc/src/filter.cpp ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn 4156 modules/imgproc/src/filter.cpp ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1])); cn 4193 modules/imgproc/src/filter.cpp int type = src.type(), cn = CV_MAT_CN(type), sdepth = CV_MAT_DEPTH(type); cn 4225 modules/imgproc/src/filter.cpp radiusX, (int)localsize[0], (int)localsize[1], cn, btype, cn 4229 modules/imgproc/src/filter.cpp ocl::convertTypeStr(sdepth, bdepth, cn, cvt), cn 4273 modules/imgproc/src/filter.cpp int dtype = dst.type(), cn = CV_MAT_CN(dtype), ddepth = CV_MAT_DEPTH(dtype); cn 4284 modules/imgproc/src/filter.cpp anchor, (int)localsize[0], (int)localsize[1], cn, cn 4286 modules/imgproc/src/filter.cpp ocl::convertTypeStr(bdepth, ddepth, cn, cvt), cn 4312 modules/imgproc/src/filter.cpp int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), cn 4314 modules/imgproc/src/filter.cpp dtype = CV_MAKE_TYPE(ddepth, cn); cn 4337 modules/imgproc/src/filter.cpp ocl::typeToStr(stype), ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn 4338 modules/imgproc/src/filter.cpp ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)), ocl::typeToStr(dtype), cn 4339 modules/imgproc/src/filter.cpp ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]), borderMap[borderType], cn 4341 modules/imgproc/src/filter.cpp cn, 2*shift_bits, int_arithm ? " -D INTEGER_ARITHMETIC" : ""); cn 4370 modules/imgproc/src/filter.cpp int type = _src.type(), sdepth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 4371 modules/imgproc/src/filter.cpp if (cn > 4) cn 4434 modules/imgproc/src/filter.cpp UMat buf(bufSize, CV_MAKETYPE(bdepth, cn)); cn 4438 modules/imgproc/src/filter.cpp _dst.create(srcSize, CV_MAKETYPE(ddepth, cn)); cn 4454 modules/imgproc/src/filter.cpp int cn = CV_MAT_CN(srcType), kdepth = _kernel.depth(); cn 4455 modules/imgproc/src/filter.cpp CV_Assert( cn == CV_MAT_CN(dstType) && ddepth >= sdepth ); cn 4535 modules/imgproc/src/filter.cpp int cn = CV_MAT_CN(_srcType); cn 4536 modules/imgproc/src/filter.cpp CV_Assert( cn == CV_MAT_CN(_dstType) ); cn 4589 modules/imgproc/src/filter.cpp int stype = src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), cn 4621 modules/imgproc/src/filter.cpp if ((status = ippiFilterBorderGetSize(kernelSize, dstRoiSize, dataType, kernelType, cn, &specSize, &bufsize)) >= 0) cn 4631 modules/imgproc/src/filter.cpp dataType, cn, ippRndFinancial, spec)) >= 0 ) || cn 4633 modules/imgproc/src/filter.cpp kernelSize, 0, dataType, cn, ippRndFinancial, spec)) >= 0)) cn 70 modules/imgproc/src/filterengine.hpp virtual void operator()(const uchar* src, uchar* dst, int width, int cn) = 0; cn 126 modules/imgproc/src/filterengine.hpp virtual void operator()(const uchar** src, uchar* dst, int dststep, int dstcount, int width, int cn) = 0; cn 485 modules/imgproc/src/floodfill.cpp int cn = img.channels(); cn 487 modules/imgproc/src/floodfill.cpp if ( (cn != 1) && (cn != 3) ) cn 499 modules/imgproc/src/floodfill.cpp for( i = 0; i < cn; i++ ) cn 567 modules/imgproc/src/floodfill.cpp for( i = 0; i < cn; i++ ) cn 573 modules/imgproc/src/floodfill.cpp for( i = 0; i < cn; i++ ) cn 579 modules/imgproc/src/floodfill.cpp for( i = 0; i < cn; i++ ) cn 2075 modules/imgproc/src/histogram.cpp static void getUMatIndex(const std::vector<UMat> & um, int cn, int & idx, int & cnidx) cn 2083 modules/imgproc/src/histogram.cpp if (totalChannels == cn) cn 2089 modules/imgproc/src/histogram.cpp else if (totalChannels > cn) cn 2092 modules/imgproc/src/histogram.cpp cnidx = i == 0 ? cn : (cn - totalChannels + ccn); cn 1403 modules/imgproc/src/imgwarp.cpp int swidth, int dwidth, int cn, int xmin, int xmax ) const cn 1409 modules/imgproc/src/imgwarp.cpp xofs, (const uchar*)alpha, swidth, dwidth, cn, xmin, xmax ); cn 1419 modules/imgproc/src/imgwarp.cpp WT t0 = S0[sx]*a0 + S0[sx + cn]*a1; cn 1420 modules/imgproc/src/imgwarp.cpp WT t1 = S1[sx]*a0 + S1[sx + cn]*a1; cn 1438 modules/imgproc/src/imgwarp.cpp D[dx] = S[sx]*alpha[dx*2] + S[sx+cn]*alpha[dx*2+1]; cn 1518 modules/imgproc/src/imgwarp.cpp int swidth, int dwidth, int cn, int xmin, int xmax ) const cn 1529 modules/imgproc/src/imgwarp.cpp int j, sx = xofs[dx] - cn; cn 1533 modules/imgproc/src/imgwarp.cpp int sxj = sx + j*cn; cn 1537 modules/imgproc/src/imgwarp.cpp sxj += cn; cn 1539 modules/imgproc/src/imgwarp.cpp sxj -= cn; cn 1550 modules/imgproc/src/imgwarp.cpp D[dx] = S[sx-cn]*alpha[0] + S[sx]*alpha[1] + cn 1551 modules/imgproc/src/imgwarp.cpp S[sx+cn]*alpha[2] + S[sx+cn*2]*alpha[3]; cn 1591 modules/imgproc/src/imgwarp.cpp int swidth, int dwidth, int cn, int xmin, int xmax ) const cn 1602 modules/imgproc/src/imgwarp.cpp int j, sx = xofs[dx] - cn*3; cn 1606 modules/imgproc/src/imgwarp.cpp int sxj = sx + j*cn; cn 1610 modules/imgproc/src/imgwarp.cpp sxj += cn; cn 1612 modules/imgproc/src/imgwarp.cpp sxj -= cn; cn 1623 modules/imgproc/src/imgwarp.cpp D[dx] = S[sx-cn*3]*alpha[0] + S[sx-cn*2]*alpha[1] + cn 1624 modules/imgproc/src/imgwarp.cpp S[sx-cn]*alpha[2] + S[sx]*alpha[3] + cn 1625 modules/imgproc/src/imgwarp.cpp S[sx+cn]*alpha[4] + S[sx+cn*2]*alpha[5] + cn 1626 modules/imgproc/src/imgwarp.cpp S[sx+cn*3]*alpha[6] + S[sx+cn*4]*alpha[7]; cn 1708 modules/imgproc/src/imgwarp.cpp int dy, cn = src.channels(); cn 1750 modules/imgproc/src/imgwarp.cpp ssize.width, dsize.width, cn, xmin, xmax ); cn 1779 modules/imgproc/src/imgwarp.cpp int cn = src.channels(); cn 1780 modules/imgproc/src/imgwarp.cpp ssize.width *= cn; cn 1781 modules/imgproc/src/imgwarp.cpp dsize.width *= cn; cn 1782 modules/imgproc/src/imgwarp.cpp xmin *= cn; cn 1783 modules/imgproc/src/imgwarp.cpp xmax *= cn; cn 1807 modules/imgproc/src/imgwarp.cpp cn(_cn), step(_step) cn 1818 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 1835 modules/imgproc/src/imgwarp.cpp else if (cn == 4) cn 1860 modules/imgproc/src/imgwarp.cpp int cn, step; cn 1867 modules/imgproc/src/imgwarp.cpp cn(_cn), step(_step) cn 1878 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 1895 modules/imgproc/src/imgwarp.cpp else if (cn == 4) cn 1910 modules/imgproc/src/imgwarp.cpp int cn, step; cn 1917 modules/imgproc/src/imgwarp.cpp cn(_cn), step(_step) cn 1928 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 1945 modules/imgproc/src/imgwarp.cpp else if (cn == 4) cn 1960 modules/imgproc/src/imgwarp.cpp int cn, step; cn 1966 modules/imgproc/src/imgwarp.cpp cn(_cn), step(_step) cn 1968 modules/imgproc/src/imgwarp.cpp fast_mode = _scale_x == 2 && _scale_y == 2 && (cn == 1 || cn == 4); cn 1981 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 1993 modules/imgproc/src/imgwarp.cpp else if (cn == 4) cn 2008 modules/imgproc/src/imgwarp.cpp int cn; cn 2019 modules/imgproc/src/imgwarp.cpp cn(_cn), step(_step) cn 2035 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 2051 modules/imgproc/src/imgwarp.cpp else if (cn == 3) cn 2076 modules/imgproc/src/imgwarp.cpp CV_Assert(cn == 4); cn 2109 modules/imgproc/src/imgwarp.cpp int cn; cn 2118 modules/imgproc/src/imgwarp.cpp cn(_cn), step(_step) cn 2137 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 2153 modules/imgproc/src/imgwarp.cpp else if (cn == 3) cn 2172 modules/imgproc/src/imgwarp.cpp CV_Assert(cn == 4); cn 2197 modules/imgproc/src/imgwarp.cpp int cn; cn 2206 modules/imgproc/src/imgwarp.cpp cn(_cn), step(_step) cn 2223 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 2241 modules/imgproc/src/imgwarp.cpp else if (cn == 3) cn 2260 modules/imgproc/src/imgwarp.cpp CV_Assert(cn == 4); cn 2283 modules/imgproc/src/imgwarp.cpp int cn; cn 2291 modules/imgproc/src/imgwarp.cpp cn(_cn), step(_step) cn 2293 modules/imgproc/src/imgwarp.cpp fast_mode = _scale_x == 2 && _scale_y == 2 && (cn == 1 || cn == 4); cn 2307 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 2323 modules/imgproc/src/imgwarp.cpp else if (cn == 4) cn 2338 modules/imgproc/src/imgwarp.cpp int cn; cn 2356 modules/imgproc/src/imgwarp.cpp scale_x(_scale_x), scale_y(_scale_y), cn(_cn), step(_step), vecOp(_cn, _step) cn 2358 modules/imgproc/src/imgwarp.cpp fast_mode = scale_x == 2 && scale_y == 2 && (cn == 1 || cn == 3 || cn == 4); cn 2369 modules/imgproc/src/imgwarp.cpp if (cn == 1) cn 2375 modules/imgproc/src/imgwarp.cpp else if (cn == 3) cn 2385 modules/imgproc/src/imgwarp.cpp CV_Assert(cn == 4); cn 2401 modules/imgproc/src/imgwarp.cpp int cn; cn 2422 modules/imgproc/src/imgwarp.cpp int cn = src.channels(); cn 2425 modules/imgproc/src/imgwarp.cpp int dwidth1 = (ssize.width/scale_x)*cn; cn 2426 modules/imgproc/src/imgwarp.cpp dsize.width *= cn; cn 2427 modules/imgproc/src/imgwarp.cpp ssize.width *= cn; cn 2473 modules/imgproc/src/imgwarp.cpp for( int sx = 0; sx < scale_x*cn; sx += cn ) cn 2532 modules/imgproc/src/imgwarp.cpp int cn = dst->channels(); cn 2533 modules/imgproc/src/imgwarp.cpp dsize.width *= cn; cn 2554 modules/imgproc/src/imgwarp.cpp if( cn == 1 ) cn 2561 modules/imgproc/src/imgwarp.cpp else if( cn == 2 ) cn 2571 modules/imgproc/src/imgwarp.cpp else if( cn == 3 ) cn 2582 modules/imgproc/src/imgwarp.cpp else if( cn == 4 ) cn 2604 modules/imgproc/src/imgwarp.cpp for( int c = 0; c < cn; c++ ) cn 2672 modules/imgproc/src/imgwarp.cpp static int computeResizeAreaTab( int ssize, int dsize, int cn, double scale, DecimateAlpha* tab ) cn 2689 modules/imgproc/src/imgwarp.cpp tab[k].di = dx * cn; cn 2690 modules/imgproc/src/imgwarp.cpp tab[k].si = (sx1 - 1) * cn; cn 2697 modules/imgproc/src/imgwarp.cpp tab[k].di = dx * cn; cn 2698 modules/imgproc/src/imgwarp.cpp tab[k].si = sx * cn; cn 2705 modules/imgproc/src/imgwarp.cpp tab[k].di = dx * cn; cn 2706 modules/imgproc/src/imgwarp.cpp tab[k].si = sx2 * cn; cn 2798 modules/imgproc/src/imgwarp.cpp int cn = src.channels(); cn 2807 modules/imgproc/src/imgwarp.cpp CHECK_IPP_STATUS(getBufferSizeFunc(pSpec, dstSize, cn, &bufsize)); cn 2810 modules/imgproc/src/imgwarp.cpp const Ipp8u* pSrc = src.ptr<Ipp8u>(srcOffset.y) + srcOffset.x * cn * itemSize; cn 2811 modules/imgproc/src/imgwarp.cpp Ipp8u* pDst = dst.ptr<Ipp8u>(dstOffset.y) + dstOffset.x * cn * itemSize; cn 2883 modules/imgproc/src/imgwarp.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 2896 modules/imgproc/src/imgwarp.cpp if( !(cn <= 4 && cn 2915 modules/imgproc/src/imgwarp.cpp ocl::Image2D::isFormatSupported(depth, cn, true) && cn 2924 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(wdepth, depth, cn, buf[1]), cn 2925 modules/imgproc/src/imgwarp.cpp cn); cn 2981 modules/imgproc/src/imgwarp.cpp int wdepth = std::max(depth, CV_32S), wtype = CV_MAKETYPE(wdepth, cn); cn 2990 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(depth, wdepth, cn, buf[0]), cn 2991 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(wdepth, depth, cn, buf[1]), cn 2992 modules/imgproc/src/imgwarp.cpp cn, INTER_RESIZE_COEF_BITS)); cn 3001 modules/imgproc/src/imgwarp.cpp int wdepth = std::max(depth, CV_32S), wtype = CV_MAKETYPE(wdepth, cn); cn 3007 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(depth, wdepth, cn, buf[0]), cn 3008 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(wdepth, depth, cn, buf[1]), cn 3009 modules/imgproc/src/imgwarp.cpp cn, INTER_RESIZE_COEF_BITS)); cn 3021 modules/imgproc/src/imgwarp.cpp ocl::vecopTypeToStr(type), ocl::vecopTypeToStr(depth), cn)); cn 3031 modules/imgproc/src/imgwarp.cpp int wtype = CV_MAKE_TYPE(wdepth, cn); cn 3036 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(depth, wdepth, cn, cvt[0]), cn); cn 3043 modules/imgproc/src/imgwarp.cpp int wdepth2 = std::max(CV_32F, depth), wtype2 = CV_MAKE_TYPE(wdepth2, cn); cn 3046 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(wdepth2, depth, cn, cvt[0]), cn 3047 modules/imgproc/src/imgwarp.cpp ocl::typeToStr(wtype2), ocl::convertTypeStr(wdepth, wdepth2, cn, cvt[1]), cn 3056 modules/imgproc/src/imgwarp.cpp buildOption = buildOption + format(" -D convertToT=%s", ocl::convertTypeStr(wdepth, depth, cn, cvt[0])); cn 3234 modules/imgproc/src/imgwarp.cpp int type = src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 3262 modules/imgproc/src/imgwarp.cpp if( mode >= 0 && (cn == 1 || cn == 3 || cn == 4) && cn 3302 modules/imgproc/src/imgwarp.cpp AutoBuffer<int> _ofs(area + dsize.width*cn); cn 3310 modules/imgproc/src/imgwarp.cpp ofs[k++] = (int)(sy*srcstep + sx*cn); cn 3314 modules/imgproc/src/imgwarp.cpp int j = dx * cn; cn 3316 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 3325 modules/imgproc/src/imgwarp.cpp CV_Assert( func != 0 && cn <= 4 ); cn 3330 modules/imgproc/src/imgwarp.cpp int xtab_size = computeResizeAreaTab(ssize.width, dsize.width, cn, scale_x, xtab); cn 3350 modules/imgproc/src/imgwarp.cpp int xmin = 0, xmax = dsize.width, width = dsize.width*cn; cn 3406 modules/imgproc/src/imgwarp.cpp for( k = 0, sx *= cn; k < cn; k++ ) cn 3407 modules/imgproc/src/imgwarp.cpp xofs[dx*cn + k] = sx + k; cn 3421 modules/imgproc/src/imgwarp.cpp ialpha[dx*cn*ksize + k] = saturate_cast<short>(cbuf[k]*INTER_RESIZE_COEF_SCALE); cn 3422 modules/imgproc/src/imgwarp.cpp for( ; k < cn*ksize; k++ ) cn 3423 modules/imgproc/src/imgwarp.cpp ialpha[dx*cn*ksize + k] = ialpha[dx*cn*ksize + k - ksize]; cn 3428 modules/imgproc/src/imgwarp.cpp alpha[dx*cn*ksize + k] = cbuf[k]; cn 3429 modules/imgproc/src/imgwarp.cpp for( ; k < cn*ksize; k++ ) cn 3430 modules/imgproc/src/imgwarp.cpp alpha[dx*cn*ksize + k] = alpha[dx*cn*ksize + k - ksize]; cn 3489 modules/imgproc/src/imgwarp.cpp int cn = _src.channels(); cn 3511 modules/imgproc/src/imgwarp.cpp if( cn == 1 ) cn 3539 modules/imgproc/src/imgwarp.cpp for( dx = 0; dx < dsize.width; dx++, D += cn ) cn 3545 modules/imgproc/src/imgwarp.cpp if( cn == 3 ) cn 3550 modules/imgproc/src/imgwarp.cpp else if( cn == 4 ) cn 3557 modules/imgproc/src/imgwarp.cpp S = S0 + sy*sstep + sx*cn; cn 3558 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 3568 modules/imgproc/src/imgwarp.cpp S = S0 + sy*sstep + sx*cn; cn 3576 modules/imgproc/src/imgwarp.cpp S = S0 + sy*sstep + sx*cn; cn 3578 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 3600 modules/imgproc/src/imgwarp.cpp int cn = _src.channels(), x = 0, sstep = (int)_src.step; cn 3602 modules/imgproc/src/imgwarp.cpp if( (cn != 1 && cn != 3 && cn != 4) || !checkHardwareSupport(CV_CPU_SSE2) || cn 3607 modules/imgproc/src/imgwarp.cpp const short* wtab = cn == 1 ? (const short*)_wtab : &BilinearTab_iC4[0][0][0]; cn 3610 modules/imgproc/src/imgwarp.cpp __m128i xy2ofs = _mm_set1_epi32(cn + (sstep << 16)); cn 3614 modules/imgproc/src/imgwarp.cpp if( cn == 1 ) cn 3672 modules/imgproc/src/imgwarp.cpp else if( cn == 3 ) cn 3731 modules/imgproc/src/imgwarp.cpp else if( cn == 4 ) cn 3808 modules/imgproc/src/imgwarp.cpp int k, cn = _src.channels(); cn 3817 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 3851 modules/imgproc/src/imgwarp.cpp D += len*cn; cn 3854 modules/imgproc/src/imgwarp.cpp if( cn == 1 ) cn 3864 modules/imgproc/src/imgwarp.cpp else if( cn == 2 ) cn 3874 modules/imgproc/src/imgwarp.cpp else if( cn == 3 ) cn 3885 modules/imgproc/src/imgwarp.cpp else if( cn == 4 ) cn 3899 modules/imgproc/src/imgwarp.cpp for( ; dx < X1; dx++, D += cn ) cn 3903 modules/imgproc/src/imgwarp.cpp const T* S = S0 + sy*sstep + sx*cn; cn 3904 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 3906 modules/imgproc/src/imgwarp.cpp WT t0 = S[k]*w[0] + S[k+cn]*w[1] + S[sstep+k]*w[2] + S[sstep+k+cn]*w[3]; cn 3913 modules/imgproc/src/imgwarp.cpp if( borderType == BORDER_TRANSPARENT && cn != 3 ) cn 3915 modules/imgproc/src/imgwarp.cpp D += (X1 - dx)*cn; cn 3920 modules/imgproc/src/imgwarp.cpp if( cn == 1 ) cn 3961 modules/imgproc/src/imgwarp.cpp for( ; dx < X1; dx++, D += cn ) cn 3968 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 3982 modules/imgproc/src/imgwarp.cpp v0 = S0 + sy0*sstep + sx0*cn; cn 3983 modules/imgproc/src/imgwarp.cpp v1 = S0 + sy0*sstep + sx1*cn; cn 3984 modules/imgproc/src/imgwarp.cpp v2 = S0 + sy1*sstep + sx0*cn; cn 3985 modules/imgproc/src/imgwarp.cpp v3 = S0 + sy1*sstep + sx1*cn; cn 3997 modules/imgproc/src/imgwarp.cpp v0 = sx0 >= 0 && sy0 >= 0 ? S0 + sy0*sstep + sx0*cn : &cval[0]; cn 3998 modules/imgproc/src/imgwarp.cpp v1 = sx1 >= 0 && sy0 >= 0 ? S0 + sy0*sstep + sx1*cn : &cval[0]; cn 3999 modules/imgproc/src/imgwarp.cpp v2 = sx0 >= 0 && sy1 >= 0 ? S0 + sy1*sstep + sx0*cn : &cval[0]; cn 4000 modules/imgproc/src/imgwarp.cpp v3 = sx1 >= 0 && sy1 >= 0 ? S0 + sy1*sstep + sx1*cn : &cval[0]; cn 4002 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 4020 modules/imgproc/src/imgwarp.cpp int cn = _src.channels(); cn 4046 modules/imgproc/src/imgwarp.cpp for( dx = 0; dx < dsize.width; dx++, D += cn ) cn 4053 modules/imgproc/src/imgwarp.cpp const T* S = S0 + sy*sstep + sx*cn; cn 4054 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 4056 modules/imgproc/src/imgwarp.cpp WT sum = S[0]*w[0] + S[cn]*w[1] + S[cn*2]*w[2] + S[cn*3]*w[3]; cn 4058 modules/imgproc/src/imgwarp.cpp sum += S[0]*w[4] + S[cn]*w[5] + S[cn*2]*w[6] + S[cn*3]*w[7]; cn 4060 modules/imgproc/src/imgwarp.cpp sum += S[0]*w[8] + S[cn]*w[9] + S[cn*2]*w[10] + S[cn*3]*w[11]; cn 4062 modules/imgproc/src/imgwarp.cpp sum += S[0]*w[12] + S[cn]*w[13] + S[cn*2]*w[14] + S[cn*3]*w[15]; cn 4079 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 4086 modules/imgproc/src/imgwarp.cpp x[i] = borderInterpolate(sx + i, ssize.width, borderType1)*cn; cn 4090 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++, S0++, w -= 16 ) cn 4110 modules/imgproc/src/imgwarp.cpp S0 -= cn; cn 4125 modules/imgproc/src/imgwarp.cpp int cn = _src.channels(); cn 4151 modules/imgproc/src/imgwarp.cpp for( dx = 0; dx < dsize.width; dx++, D += cn ) cn 4155 modules/imgproc/src/imgwarp.cpp const T* S = S0 + sy*sstep + sx*cn; cn 4159 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 4163 modules/imgproc/src/imgwarp.cpp sum += S[0]*w[0] + S[cn]*w[1] + S[cn*2]*w[2] + S[cn*3]*w[3] + cn 4164 modules/imgproc/src/imgwarp.cpp S[cn*4]*w[4] + S[cn*5]*w[5] + S[cn*6]*w[6] + S[cn*7]*w[7]; cn 4182 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++ ) cn 4189 modules/imgproc/src/imgwarp.cpp x[i] = borderInterpolate(sx + i, ssize.width, borderType1)*cn; cn 4193 modules/imgproc/src/imgwarp.cpp for( k = 0; k < cn; k++, S0++, w -= 64 ) cn 4221 modules/imgproc/src/imgwarp.cpp S0 -= cn; cn 4491 modules/imgproc/src/imgwarp.cpp int cn = _src.channels(), type = _src.type(), depth = _src.depth(), cn 4540 modules/imgproc/src/imgwarp.cpp ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)), cn 4541 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(wdepth, depth, cn, cvt[0]), cn 4542 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(depth, wdepth, cn, cvt[1]), cn 4546 modules/imgproc/src/imgwarp.cpp int scalarcn = cn == 3 ? 4 : cn; cn 4550 modules/imgproc/src/imgwarp.cpp cn, ocl::typeToStr(sctype), depth); cn 4593 modules/imgproc/src/imgwarp.cpp int type = dst.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 4596 modules/imgproc/src/imgwarp.cpp !IPPSet(borderValue, dstRoi.ptr(), (int)dstRoi.step, dstRoiSize, cn, depth)) cn 5468 modules/imgproc/src/imgwarp.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 5478 modules/imgproc/src/imgwarp.cpp (!doubleSupport && depth == CV_64F) || cn > 4) cn 5486 modules/imgproc/src/imgwarp.cpp int scalarcn = cn == 3 ? 4 : cn; cn 5498 modules/imgproc/src/imgwarp.cpp ocl::typeToStr(sctype), cn, rowsPerWI); cn 5508 modules/imgproc/src/imgwarp.cpp ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)), depth, cn 5509 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(depth, wdepth, cn, cvt[0]), cn 5510 modules/imgproc/src/imgwarp.cpp ocl::convertTypeStr(wdepth, depth, cn, cvt[1]), cn 5511 modules/imgproc/src/imgwarp.cpp doubleSupport ? " -D DOUBLE_SUPPORT" : "", cn, rowsPerWI); cn 5612 modules/imgproc/src/imgwarp.cpp int type = src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 5614 modules/imgproc/src/imgwarp.cpp ( cn == 1 || cn == 3 || cn == 4 ) && cn 6121 modules/imgproc/src/imgwarp.cpp int type = src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 6123 modules/imgproc/src/imgwarp.cpp (cn == 1 || cn == 3 || cn == 4) && cn 562 modules/imgproc/src/moments.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 577 modules/imgproc/src/moments.cpp if( cn > 1 ) cn 102 modules/imgproc/src/morph.cpp int operator()(const uchar* src, uchar* dst, int width, int cn) const cn 107 modules/imgproc/src/morph.cpp cn *= ESZ; cn 108 modules/imgproc/src/morph.cpp int i, k, _ksize = ksize*cn; cn 109 modules/imgproc/src/morph.cpp width = (width & -4)*cn; cn 115 modules/imgproc/src/morph.cpp for( k = cn; k < _ksize; k += cn ) cn 126 modules/imgproc/src/morph.cpp for( k = cn; k < _ksize; k += cn ) cn 144 modules/imgproc/src/morph.cpp int operator()(const uchar* src, uchar* dst, int width, int cn) const cn 149 modules/imgproc/src/morph.cpp int i, k, _ksize = ksize*cn; cn 150 modules/imgproc/src/morph.cpp width = (width & -4)*cn; cn 156 modules/imgproc/src/morph.cpp for( k = cn; k < _ksize; k += cn ) cn 644 modules/imgproc/src/morph.cpp void operator()(const uchar* src, uchar* dst, int width, int cn) cn 646 modules/imgproc/src/morph.cpp int i, j, k, _ksize = ksize*cn; cn 651 modules/imgproc/src/morph.cpp if( _ksize == cn ) cn 653 modules/imgproc/src/morph.cpp for( i = 0; i < width*cn; i++ ) cn 658 modules/imgproc/src/morph.cpp int i0 = vecOp(src, dst, width, cn); cn 659 modules/imgproc/src/morph.cpp width *= cn; cn 661 modules/imgproc/src/morph.cpp for( k = 0; k < cn; k++, S++, D++ ) cn 663 modules/imgproc/src/morph.cpp for( i = i0; i <= width - cn*2; i += cn*2 ) cn 666 modules/imgproc/src/morph.cpp T m = s[cn]; cn 667 modules/imgproc/src/morph.cpp for( j = cn*2; j < _ksize; j += cn ) cn 670 modules/imgproc/src/morph.cpp D[i+cn] = op(m, s[j]); cn 673 modules/imgproc/src/morph.cpp for( ; i < width; i += cn ) cn 677 modules/imgproc/src/morph.cpp for( j = cn; j < _ksize; j += cn ) cn 799 modules/imgproc/src/morph.cpp void operator()(const uchar** src, uchar* dst, int dststep, int count, int width, int cn) cn 806 modules/imgproc/src/morph.cpp width *= cn; cn 812 modules/imgproc/src/morph.cpp kp[k] = (const T*)src[pt[k].y] + pt[k].x*cn; cn 1268 modules/imgproc/src/morph.cpp int type = src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 1270 modules/imgproc/src/morph.cpp if( !( depth == CV_8U || depth == CV_32F ) || !(cn == 1 || cn == 3 || cn == 4) || cn 1346 modules/imgproc/src/morph.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), esz = CV_ELEM_SIZE(type); cn 1349 modules/imgproc/src/morph.cpp if (cn > 4 || (!doubleSupport && depth == CV_64F) || cn 1369 modules/imgproc/src/morph.cpp wtype = CV_MAKETYPE(wdepth, cn); cn 1390 modules/imgproc/src/morph.cpp int pxLoadNumPixels = cn != 1 || size.width % 4 ? 1 : 4; cn 1391 modules/imgproc/src/morph.cpp int pxLoadVecSize = cn * pxLoadNumPixels; cn 1396 modules/imgproc/src/morph.cpp if (cn <= 2 && ksize.width <= 4 && ksize.height <= 4) cn 1401 modules/imgproc/src/morph.cpp else if (cn < 4 || (ksize.width <= 4 && ksize.height <= 4)) cn 1438 modules/imgproc/src/morph.cpp cn, anchor.x, anchor.y, ksize.width, ksize.height, cn 1446 modules/imgproc/src/morph.cpp haveExtraMat ? ocl::convertTypeStr(depth, wdepth, cn, cvt[0]) : "noconvert",//to prevent overflow - src to WT cn 1447 modules/imgproc/src/morph.cpp haveExtraMat ? ocl::convertTypeStr(wdepth, depth, cn, cvt[1]) : "noconvert",//to prevent overflow - WT to dst cn 1504 modules/imgproc/src/morph.cpp cn = CV_MAT_CN(type), esz = CV_ELEM_SIZE(type); cn 1534 modules/imgproc/src/morph.cpp (ksize.width == 5 && ksize.height == 5 && cn == 1)) && cn 1537 modules/imgproc/src/morph.cpp && cn == 1 cn 1583 modules/imgproc/src/morph.cpp int wdepth = std::max(depth, CV_32F), scalarcn = cn == 3 ? 4 : cn; cn 1597 modules/imgproc/src/morph.cpp ocl::typeToStr(type), depth, cn, ocl::typeToStr(depth), cn 1598 modules/imgproc/src/morph.cpp ocl::convertTypeStr(depth, wdepth, cn, cvt[0]), cn 1599 modules/imgproc/src/morph.cpp ocl::convertTypeStr(wdepth, depth, cn, cvt[1]), cn 44 modules/imgproc/src/phasecorr.cpp int depth = src.depth(), cn = src.channels(), type = src.type(); cn 63 modules/imgproc/src/phasecorr.cpp int ncols = cols*cn; cn 64 modules/imgproc/src/phasecorr.cpp int j0 = cn == 1; cn 65 modules/imgproc/src/phasecorr.cpp int j1 = ncols - (cols % 2 == 0 && cn == 1); cn 75 modules/imgproc/src/phasecorr.cpp if( !is_1d && cn == 1 ) cn 98 modules/imgproc/src/phasecorr.cpp if( is_1d && cn == 1 ) cn 119 modules/imgproc/src/phasecorr.cpp if( !is_1d && cn == 1 ) cn 142 modules/imgproc/src/phasecorr.cpp if( is_1d && cn == 1 ) cn 160 modules/imgproc/src/phasecorr.cpp int depth = srcA.depth(), cn = srcA.channels(), type = srcA.type(); cn 176 modules/imgproc/src/phasecorr.cpp int ncols = cols*cn; cn 177 modules/imgproc/src/phasecorr.cpp int j0 = cn == 1; cn 178 modules/imgproc/src/phasecorr.cpp int j1 = ncols - (cols % 2 == 0 && cn == 1); cn 191 modules/imgproc/src/phasecorr.cpp if( !is_1d && cn == 1 ) cn 238 modules/imgproc/src/phasecorr.cpp if( is_1d && cn == 1 ) cn 276 modules/imgproc/src/phasecorr.cpp if( !is_1d && cn == 1 ) cn 322 modules/imgproc/src/phasecorr.cpp if( is_1d && cn == 1 ) cn 858 modules/imgproc/src/pyramids.cpp int cn = _src.channels(); cn 859 modules/imgproc/src/pyramids.cpp int bufstep = (int)alignSize(dsize.width*cn, 16); cn 863 modules/imgproc/src/pyramids.cpp AutoBuffer<int> _tabM(dsize.width*cn); cn 876 modules/imgproc/src/pyramids.cpp int sx0 = borderInterpolate(x - PD_SZ/2, ssize.width, borderType)*cn; cn 877 modules/imgproc/src/pyramids.cpp int sx1 = borderInterpolate(x + width0*2 - PD_SZ/2, ssize.width, borderType)*cn; cn 878 modules/imgproc/src/pyramids.cpp for( k = 0; k < cn; k++ ) cn 880 modules/imgproc/src/pyramids.cpp tabL[x*cn + k] = sx0 + k; cn 881 modules/imgproc/src/pyramids.cpp tabR[x*cn + k] = sx1 + k; cn 885 modules/imgproc/src/pyramids.cpp ssize.width *= cn; cn 886 modules/imgproc/src/pyramids.cpp dsize.width *= cn; cn 887 modules/imgproc/src/pyramids.cpp width0 *= cn; cn 890 modules/imgproc/src/pyramids.cpp tabM[x] = (x/cn)*2*cn + x % cn; cn 903 modules/imgproc/src/pyramids.cpp int limit = cn; cn 910 modules/imgproc/src/pyramids.cpp row[x] = src[tab[x+cn*2]]*6 + (src[tab[x+cn]] + src[tab[x+cn*3]])*4 + cn 911 modules/imgproc/src/pyramids.cpp src[tab[x]] + src[tab[x+cn*4]]; cn 917 modules/imgproc/src/pyramids.cpp if( cn == 1 ) cn 923 modules/imgproc/src/pyramids.cpp else if( cn == 3 ) cn 934 modules/imgproc/src/pyramids.cpp else if( cn == 4 ) cn 952 modules/imgproc/src/pyramids.cpp row[x] = src[sx]*6 + (src[sx - cn] + src[sx + cn])*4 + cn 953 modules/imgproc/src/pyramids.cpp src[sx - cn*2] + src[sx + cn*2]; cn 982 modules/imgproc/src/pyramids.cpp int cn = _src.channels(); cn 983 modules/imgproc/src/pyramids.cpp int bufstep = (int)alignSize((dsize.width+1)*cn, 16); cn 986 modules/imgproc/src/pyramids.cpp AutoBuffer<int> _dtab(ssize.width*cn); cn 997 modules/imgproc/src/pyramids.cpp ssize.width *= cn; cn 998 modules/imgproc/src/pyramids.cpp dsize.width *= cn; cn 1001 modules/imgproc/src/pyramids.cpp dtab[x] = (x/cn)*2*cn + x % cn; cn 1016 modules/imgproc/src/pyramids.cpp if( ssize.width == cn ) cn 1018 modules/imgproc/src/pyramids.cpp for( x = 0; x < cn; x++ ) cn 1019 modules/imgproc/src/pyramids.cpp row[x] = row[x + cn] = src[x]*8; cn 1023 modules/imgproc/src/pyramids.cpp for( x = 0; x < cn; x++ ) cn 1026 modules/imgproc/src/pyramids.cpp WT t0 = src[x]*6 + src[x + cn]*2; cn 1027 modules/imgproc/src/pyramids.cpp WT t1 = (src[x] + src[x + cn])*4; cn 1028 modules/imgproc/src/pyramids.cpp row[dx] = t0; row[dx + cn] = t1; cn 1029 modules/imgproc/src/pyramids.cpp dx = dtab[ssize.width - cn + x]; cn 1030 modules/imgproc/src/pyramids.cpp int sx = ssize.width - cn + x; cn 1031 modules/imgproc/src/pyramids.cpp t0 = src[sx - cn] + src[sx]*7; cn 1033 modules/imgproc/src/pyramids.cpp row[dx] = t0; row[dx + cn] = t1; cn 1036 modules/imgproc/src/pyramids.cpp for( x = cn; x < ssize.width - cn; x++ ) cn 1039 modules/imgproc/src/pyramids.cpp WT t0 = src[x-cn] + src[x]*6 + src[x+cn]; cn 1040 modules/imgproc/src/pyramids.cpp WT t1 = (src[x] + src[x+cn])*4; cn 1042 modules/imgproc/src/pyramids.cpp row[dx+cn] = t1; cn 1068 modules/imgproc/src/pyramids.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 1071 modules/imgproc/src/pyramids.cpp if (cn > 4 || (depth == CV_64F && !doubleSupport)) cn 1090 modules/imgproc/src/pyramids.cpp if (depth == CV_8U && float_depth == CV_32F && cn == 1 && ocl::Device::getDefault().isIntel()) cn 1098 modules/imgproc/src/pyramids.cpp ocl::typeToStr(type), ocl::typeToStr(CV_MAKETYPE(float_depth, cn)), cn 1099 modules/imgproc/src/pyramids.cpp ocl::convertTypeStr(float_depth, depth, cn, cvt[0]), cn 1100 modules/imgproc/src/pyramids.cpp ocl::convertTypeStr(depth, float_depth, cn, cvt[1]), cn 1102 modules/imgproc/src/pyramids.cpp cn, kercn, float_depth, borderMap[borderType], local_size cn 131 modules/imgproc/src/samplers.cpp _DTp* dst, size_t dst_step, Size win_size, Point2f center, int cn ) cn 162 modules/imgproc/src/samplers.cpp src += ip.y * src_step + ip.x*cn; cn 163 modules/imgproc/src/samplers.cpp win_size.width *= cn; cn 169 modules/imgproc/src/samplers.cpp _WTp s0 = src[j]*a11 + src[j+cn]*a12 + src[j+src_step]*a21 + src[j+src_step+cn]*a22; cn 170 modules/imgproc/src/samplers.cpp _WTp s1 = src[j+1]*a11 + src[j+cn+1]*a12 + src[j+src_step+1]*a21 + src[j+src_step+cn+1]*a22; cn 177 modules/imgproc/src/samplers.cpp _WTp s0 = src[j]*a11 + src[j+cn]*a12 + src[j+src_step]*a21 + src[j+src_step+cn]*a22; cn 186 modules/imgproc/src/samplers.cpp sizeof(*src)*cn, src_size, win_size, ip, &r); cn 196 modules/imgproc/src/samplers.cpp for( c = 0; c < cn; c++ ) cn 198 modules/imgproc/src/samplers.cpp s0 = src[r.x*cn + c]*b1 + src2[r.x*cn + c]*b2; cn 200 modules/imgproc/src/samplers.cpp dst[j*cn + c] = cast_op(s0); cn 201 modules/imgproc/src/samplers.cpp s0 = src[r.width*cn + c]*b1 + src2[r.width*cn + c]*b2; cn 203 modules/imgproc/src/samplers.cpp dst[j*cn + c] = cast_op(s0); cn 206 modules/imgproc/src/samplers.cpp for( j = r.x*cn; j < r.width*cn; j++ ) cn 208 modules/imgproc/src/samplers.cpp s0 = src[j]*a11 + src[j+cn]*a12 + src2[j]*a21 + src2[j+cn]*a22; cn 221 modules/imgproc/src/samplers.cpp float* dst, size_t dst_step, Size win_size, Point2f center0, int cn ) cn 232 modules/imgproc/src/samplers.cpp if( cn == 1 && cn 266 modules/imgproc/src/samplers.cpp (src, src_step, src_size, dst, dst_step, win_size, center0, cn ); cn 273 modules/imgproc/src/samplers.cpp const double *matrix, int cn ) cn 304 modules/imgproc/src/samplers.cpp if( cn == 1 ) cn 309 modules/imgproc/src/samplers.cpp else if( cn == 3 ) cn 322 modules/imgproc/src/samplers.cpp ptr += ixs*cn; cn 323 modules/imgproc/src/samplers.cpp for( k = 0; k < cn; k++ ) cn 324 modules/imgproc/src/samplers.cpp dst[x*cn+k] = ptr[k]*w00 + ptr[k+cn]*w01 + cn 325 modules/imgproc/src/samplers.cpp ptr[src_step+k]*w10 + ptr[src_step+k+cn]*w11; cn 346 modules/imgproc/src/samplers.cpp ptr0 += ixs*cn; ptr1 += ixs*cn; cn 347 modules/imgproc/src/samplers.cpp for( k = 0; k < cn; k++ ) cn 348 modules/imgproc/src/samplers.cpp dst[x*cn + k] = ptr0[k]*w00 + ptr0[k+cn]*w01 + ptr1[k]*w10 + ptr1[k+cn]*w11; cn 353 modules/imgproc/src/samplers.cpp ptr0 += ixs*cn; ptr1 += ixs*cn; cn 354 modules/imgproc/src/samplers.cpp for( k = 0; k < cn; k++ ) cn 355 modules/imgproc/src/samplers.cpp dst[x*cn + k] = ptr0[k]*b1 + ptr1[k]*b; cn 369 modules/imgproc/src/samplers.cpp int depth = image.depth(), cn = image.channels(); cn 372 modules/imgproc/src/samplers.cpp CV_Assert( cn == 1 || cn == 3 ); cn 374 modules/imgproc/src/samplers.cpp _patch.create(patchSize, CV_MAKETYPE(ddepth, cn)); cn 410 modules/imgproc/src/samplers.cpp (image.ptr(), image.step, image.size(), patch.ptr(), patch.step, patch.size(), center, cn); cn 413 modules/imgproc/src/samplers.cpp (image.ptr(), image.step, image.size(), patch.ptr<float>(), patch.step, patch.size(), center, cn); cn 416 modules/imgproc/src/samplers.cpp (image.ptr<float>(), image.step, image.size(), patch.ptr<float>(), patch.step, patch.size(), center, cn); cn 343 modules/imgproc/src/segmentation.cpp const int cn = 3; cn 418 modules/imgproc/src/segmentation.cpp dptr = dst_pyramid[level+1].ptr() + dstep + cn; cn 427 modules/imgproc/src/segmentation.cpp for( j = 1; j < size1.width-1; j++, dptr += cn ) cn 82 modules/imgproc/src/smooth.cpp virtual void operator()(const uchar* src, uchar* dst, int width, int cn) cn 86 modules/imgproc/src/smooth.cpp int i = 0, k, ksz_cn = ksize*cn; cn 88 modules/imgproc/src/smooth.cpp width = (width - 1)*cn; cn 89 modules/imgproc/src/smooth.cpp for( k = 0; k < cn; k++, S++, D++ ) cn 92 modules/imgproc/src/smooth.cpp for( i = 0; i < ksz_cn; i += cn ) cn 95 modules/imgproc/src/smooth.cpp for( i = 0; i < width; i += cn ) cn 98 modules/imgproc/src/smooth.cpp D[i+cn] = s; cn 1036 modules/imgproc/src/smooth.cpp int type = _src.type(), sdepth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), esz = CV_ELEM_SIZE(type); cn 1042 modules/imgproc/src/smooth.cpp if (cn > 4 || (!doubleSupport && (sdepth == CV_64F || ddepth == CV_64F)) || cn 1057 modules/imgproc/src/smooth.cpp wtype = CV_MAKE_TYPE(wdepth, cn), dtype = CV_MAKE_TYPE(ddepth, cn); cn 1081 modules/imgproc/src/smooth.cpp (ksize.width == 5 && ksize.height == 5 && cn == 1))) cn 1087 modules/imgproc/src/smooth.cpp int pxLoadNumPixels = cn != 1 || size.width % 4 ? 1 : 4; cn 1088 modules/imgproc/src/smooth.cpp int pxLoadVecSize = cn * pxLoadNumPixels; cn 1093 modules/imgproc/src/smooth.cpp if (cn <= 2 && ksize.width <= 4 && ksize.height <= 4) cn 1098 modules/imgproc/src/smooth.cpp else if (cn < 4 || (ksize.width <= 4 && ksize.height <= 4)) cn 1122 modules/imgproc/src/smooth.cpp cn, anchor.x, anchor.y, ksize.width, ksize.height, cn 1129 modules/imgproc/src/smooth.cpp ocl::convertTypeStr(sdepth, wdepth, cn, cvt[0]), cn 1130 modules/imgproc/src/smooth.cpp ocl::convertTypeStr(wdepth, ddepth, cn, cvt[1]), cn 1158 modules/imgproc/src/smooth.cpp BLOCK_SIZE_X, BLOCK_SIZE_Y, ocl::typeToStr(type), ocl::typeToStr(CV_MAKE_TYPE(ddepth, cn)), cn 1159 modules/imgproc/src/smooth.cpp ocl::typeToStr(CV_MAKE_TYPE(wdepth, cn)), cn 1160 modules/imgproc/src/smooth.cpp ocl::convertTypeStr(wdepth, ddepth, cn, cvt[0]), cn 1161 modules/imgproc/src/smooth.cpp ocl::convertTypeStr(sdepth, wdepth, cn, cvt[1]), cn 1165 modules/imgproc/src/smooth.cpp ocl::typeToStr(sdepth), ocl::typeToStr(ddepth), cn); cn 1185 modules/imgproc/src/smooth.cpp _dst.create(size, CV_MAKETYPE(ddepth, cn)); cn 1291 modules/imgproc/src/smooth.cpp int cn = CV_MAT_CN(srcType), sumType = CV_64F; cn 1296 modules/imgproc/src/smooth.cpp sumType = CV_MAKETYPE( sumType, cn ); cn 1314 modules/imgproc/src/smooth.cpp int stype = src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype); cn 1317 modules/imgproc/src/smooth.cpp _dst.create( src.size(), CV_MAKETYPE(ddepth, cn) ); cn 1352 modules/imgproc/src/smooth.cpp if (ippiFilterBoxBorderGetBufferSize(roiSize, maskSize, ippDataType, cn, &bufSize) >= 0) \ cn 1434 modules/imgproc/src/smooth.cpp virtual void operator()(const uchar* src, uchar* dst, int width, int cn) cn 1438 modules/imgproc/src/smooth.cpp int i = 0, k, ksz_cn = ksize*cn; cn 1440 modules/imgproc/src/smooth.cpp width = (width - 1)*cn; cn 1441 modules/imgproc/src/smooth.cpp for( k = 0; k < cn; k++, S++, D++ ) cn 1444 modules/imgproc/src/smooth.cpp for( i = 0; i < ksz_cn; i += cn ) cn 1450 modules/imgproc/src/smooth.cpp for( i = 0; i < width; i += cn ) cn 1454 modules/imgproc/src/smooth.cpp D[i+cn] = s; cn 1494 modules/imgproc/src/smooth.cpp int srcType = _src.type(), sdepth = CV_MAT_DEPTH(srcType), cn = CV_MAT_CN(srcType); cn 1514 modules/imgproc/src/smooth.cpp int sumType = CV_MAKETYPE( sumDepth, cn ), dstType = CV_MAKETYPE(ddepth, cn); cn 1660 modules/imgproc/src/smooth.cpp int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 1662 modules/imgproc/src/smooth.cpp if ((depth == CV_8U || depth == CV_16U || depth == CV_16S || depth == CV_32F) && (cn == 1 || cn == 3) && cn 1673 modules/imgproc/src/smooth.cpp if (ippiFilterGaussianGetBufferSize(roiSize, (Ipp32u)ksize.width, dataType, cn, &specSize, &bufferSize) >= 0) cn 1833 modules/imgproc/src/smooth.cpp int cn = _dst.channels(), m = _dst.rows, r = (ksize-1)/2; cn 1838 modules/imgproc/src/smooth.cpp int STRIPE_SIZE = std::min( _dst.cols, 512/cn ); cn 1840 modules/imgproc/src/smooth.cpp std::vector<HT> _h_coarse(1 * 16 * (STRIPE_SIZE + 2*r) * cn + 16); cn 1841 modules/imgproc/src/smooth.cpp std::vector<HT> _h_fine(16 * 16 * (STRIPE_SIZE + 2*r) * cn + 16); cn 1851 modules/imgproc/src/smooth.cpp const uchar* src = _src.ptr() + x*cn; cn 1852 modules/imgproc/src/smooth.cpp uchar* dst = _dst.ptr() + (x - r)*cn; cn 1854 modules/imgproc/src/smooth.cpp memset( h_coarse, 0, 16*n*cn*sizeof(h_coarse[0]) ); cn 1855 modules/imgproc/src/smooth.cpp memset( h_fine, 0, 16*16*n*cn*sizeof(h_fine[0]) ); cn 1858 modules/imgproc/src/smooth.cpp for( c = 0; c < cn; c++ ) cn 1861 modules/imgproc/src/smooth.cpp COP( c, j, src[cn*j+c], += (cv::HT)(r+2) ); cn 1867 modules/imgproc/src/smooth.cpp COP( c, j, p[cn*j+c], ++ ); cn 1876 modules/imgproc/src/smooth.cpp memset( H, 0, cn*sizeof(H[0]) ); cn 1877 modules/imgproc/src/smooth.cpp memset( luc, 0, cn*sizeof(luc[0]) ); cn 1878 modules/imgproc/src/smooth.cpp for( c = 0; c < cn; c++ ) cn 1883 modules/imgproc/src/smooth.cpp COP( c, j, p0[j*cn + c], -- ); cn 1884 modules/imgproc/src/smooth.cpp COP( c, j, p1[j*cn + c], ++ ); cn 1947 modules/imgproc/src/smooth.cpp dst[dstep*i+cn*j+c] = (uchar)(16*k + b); cn 2010 modules/imgproc/src/smooth.cpp dst[dstep*i+cn*j+c] = (uchar)(16*k + b); cn 2037 modules/imgproc/src/smooth.cpp int cn = _src.channels(); cn 2040 modules/imgproc/src/smooth.cpp #define UPDATE_ACC01( pix, cn, op ) \ cn 2043 modules/imgproc/src/smooth.cpp zone1[cn][p] op; \ cn 2044 modules/imgproc/src/smooth.cpp zone0[cn][p >> 4] op; \ cn 2048 modules/imgproc/src/smooth.cpp for( x = 0; x < size.width; x++, src += cn, dst += cn ) cn 2065 modules/imgproc/src/smooth.cpp memset( zone0, 0, sizeof(zone0[0])*cn ); cn 2066 modules/imgproc/src/smooth.cpp memset( zone1, 0, sizeof(zone1[0])*cn ); cn 2070 modules/imgproc/src/smooth.cpp for( c = 0; c < cn; c++ ) cn 2074 modules/imgproc/src/smooth.cpp for( k = 0; k < m*cn; k += cn ) cn 2079 modules/imgproc/src/smooth.cpp for( k = 0; k < m*cn; k += cn ) cn 2092 modules/imgproc/src/smooth.cpp for( c = 0; c < cn; c++ ) cn 2114 modules/imgproc/src/smooth.cpp if( cn == 1 ) cn 2126 modules/imgproc/src/smooth.cpp else if( cn == 3 ) cn 2141 modules/imgproc/src/smooth.cpp assert( cn == 4 ); cn 2381 modules/imgproc/src/smooth.cpp int i, j, k, cn = _src.channels(); cn 2391 modules/imgproc/src/smooth.cpp int sdelta = size.height == 1 ? cn : sstep; cn 2392 modules/imgproc/src/smooth.cpp int sdelta0 = size.height == 1 ? 0 : sstep - cn; cn 2393 modules/imgproc/src/smooth.cpp int ddelta = size.height == 1 ? cn : dstep; cn 2396 modules/imgproc/src/smooth.cpp for( j = 0; j < cn; j++, src++ ) cn 2408 modules/imgproc/src/smooth.cpp size.width *= cn; cn 2414 modules/imgproc/src/smooth.cpp int limit = useSIMD ? cn : size.width; cn 2420 modules/imgproc/src/smooth.cpp int j0 = j >= cn ? j - cn : j; cn 2421 modules/imgproc/src/smooth.cpp int j2 = j < size.width - cn ? j + cn : j; cn 2437 modules/imgproc/src/smooth.cpp for( ; j <= size.width - VecOp::SIZE - cn; j += VecOp::SIZE ) cn 2439 modules/imgproc/src/smooth.cpp VT p0 = vop.load(row0+j-cn), p1 = vop.load(row0+j), p2 = vop.load(row0+j+cn); cn 2440 modules/imgproc/src/smooth.cpp VT p3 = vop.load(row1+j-cn), p4 = vop.load(row1+j), p5 = vop.load(row1+j+cn); cn 2441 modules/imgproc/src/smooth.cpp VT p6 = vop.load(row2+j-cn), p7 = vop.load(row2+j), p8 = vop.load(row2+j+cn); cn 2460 modules/imgproc/src/smooth.cpp int sdelta = size.height == 1 ? cn : sstep; cn 2461 modules/imgproc/src/smooth.cpp int sdelta0 = size.height == 1 ? 0 : sstep - cn; cn 2462 modules/imgproc/src/smooth.cpp int ddelta = size.height == 1 ? cn : dstep; cn 2465 modules/imgproc/src/smooth.cpp for( j = 0; j < cn; j++, src++ ) cn 2480 modules/imgproc/src/smooth.cpp size.width *= cn; cn 2489 modules/imgproc/src/smooth.cpp int limit = useSIMD ? cn*2 : size.width; cn 2496 modules/imgproc/src/smooth.cpp int j1 = j >= cn ? j - cn : j; cn 2497 modules/imgproc/src/smooth.cpp int j0 = j >= cn*2 ? j - cn*2 : j1; cn 2498 modules/imgproc/src/smooth.cpp int j3 = j < size.width - cn ? j + cn : j; cn 2499 modules/imgproc/src/smooth.cpp int j4 = j < size.width - cn*2 ? j + cn*2 : j3; cn 2537 modules/imgproc/src/smooth.cpp for( ; j <= size.width - VecOp::SIZE - cn*2; j += VecOp::SIZE ) cn 2543 modules/imgproc/src/smooth.cpp p[k*5] = vop.load(rowk+j-cn*2); p[k*5+1] = vop.load(rowk+j-cn); cn 2544 modules/imgproc/src/smooth.cpp p[k*5+2] = vop.load(rowk+j); p[k*5+3] = vop.load(rowk+j+cn); cn 2545 modules/imgproc/src/smooth.cpp p[k*5+4] = vop.load(rowk+j+cn*2); cn 2586 modules/imgproc/src/smooth.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 2588 modules/imgproc/src/smooth.cpp if ( !((depth == CV_8U || depth == CV_16U || depth == CV_16S || depth == CV_32F) && cn <= 4 && (m == 3 || m == 5)) ) cn 2592 modules/imgproc/src/smooth.cpp bool useOptimized = (1 == cn) && cn 2602 modules/imgproc/src/smooth.cpp ocl::typeToStr(depth), ocl::typeToStr(depth), cn*4, cn) cn 2604 modules/imgproc/src/smooth.cpp format("-D T=%s -D T1=%s -D cn=%d", ocl::typeToStr(type), ocl::typeToStr(depth), cn) ; cn 2736 modules/imgproc/src/smooth.cpp int cn = src0.channels(); cn 2737 modules/imgproc/src/smooth.cpp CV_Assert( src.depth() == CV_8U && (cn == 1 || cn == 3 || cn == 4) ); cn 2768 modules/imgproc/src/smooth.cpp int i, j, cn = dest->channels(), k; cn 2779 modules/imgproc/src/smooth.cpp const uchar* sptr = temp->ptr(i+radius) + radius*cn; cn 2782 modules/imgproc/src/smooth.cpp if( cn == 1 ) cn 2831 modules/imgproc/src/smooth.cpp assert( cn == 3 ); cn 2974 modules/imgproc/src/smooth.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 2977 modules/imgproc/src/smooth.cpp if (depth != CV_8U || cn > 4) cn 3013 modules/imgproc/src/smooth.cpp space_ofs[maxk++] = (int)(i * temp.step + j * cn); cn 3017 modules/imgproc/src/smooth.cpp String cnstr = cn > 1 ? format("%d", cn) : ""; cn 3024 modules/imgproc/src/smooth.cpp if (dst.cols % 4 == 0 && cn == 1) // For single channel x4 sized images. cn 3033 modules/imgproc/src/smooth.cpp radius, maxk, cn, ocl::typeToStr(CV_32SC(cn)), cnstr.c_str(), cn 3034 modules/imgproc/src/smooth.cpp ocl::convertTypeStr(CV_8U, CV_32S, cn, cvt[0]), cn 3035 modules/imgproc/src/smooth.cpp ocl::typeToStr(type), ocl::typeToStr(CV_32FC(cn)), cn 3036 modules/imgproc/src/smooth.cpp ocl::convertTypeStr(CV_32S, CV_32F, cn, cvt[1]), cn 3037 modules/imgproc/src/smooth.cpp ocl::convertTypeStr(CV_32F, CV_8U, cn, cvt[2]), gauss_color_coeff)); cn 3062 modules/imgproc/src/smooth.cpp int cn = src.channels(); cn 3089 modules/imgproc/src/smooth.cpp if( cn == 1 ) cn 3104 modules/imgproc/src/smooth.cpp std::vector<float> _color_weight(cn*256); cn 3113 modules/imgproc/src/smooth.cpp for( i = 0; i < 256*cn; i++ ) cn 3127 modules/imgproc/src/smooth.cpp space_ofs[maxk++] = (int)(i*temp.step + j*cn); cn 3143 modules/imgproc/src/smooth.cpp cn(_cn), radius(_radius), maxk(_maxk), space_ofs(_space_ofs), cn 3161 modules/imgproc/src/smooth.cpp const float* sptr = temp->ptr<float>(i+radius) + radius*cn; cn 3164 modules/imgproc/src/smooth.cpp if( cn == 1 ) cn 3224 modules/imgproc/src/smooth.cpp CV_Assert( cn == 3 ); cn 3311 modules/imgproc/src/smooth.cpp int cn, radius, maxk, *space_ofs; cn 3323 modules/imgproc/src/smooth.cpp int cn = src.channels(); cn 3370 modules/imgproc/src/smooth.cpp len = (float)(maxValSrc - minValSrc) * cn; cn 3371 modules/imgproc/src/smooth.cpp kExpNumBins = kExpNumBinsPerChannel * cn; cn 3398 modules/imgproc/src/smooth.cpp space_ofs[maxk++] = (int)(i*(temp.step/sizeof(float)) + j*cn); cn 3403 modules/imgproc/src/smooth.cpp BilateralFilter_32f_Invoker body(cn, radius, maxk, space_ofs, temp, dst, scale_index, space_weight, expLUT); cn 81 modules/imgproc/src/sumpixels.cpp Size size, int cn) const cn 83 modules/imgproc/src/sumpixels.cpp if (sqsum || tilted || cn != 1 || !haveSSE2) cn 150 modules/imgproc/src/sumpixels.cpp Size size, int cn ) cn 158 modules/imgproc/src/sumpixels.cpp size, cn)) cn 166 modules/imgproc/src/sumpixels.cpp size.width *= cn; cn 168 modules/imgproc/src/sumpixels.cpp memset( sum, 0, (size.width+cn)*sizeof(sum[0])); cn 169 modules/imgproc/src/sumpixels.cpp sum += sumstep + cn; cn 173 modules/imgproc/src/sumpixels.cpp memset( sqsum, 0, (size.width+cn)*sizeof(sqsum[0])); cn 174 modules/imgproc/src/sumpixels.cpp sqsum += sqsumstep + cn; cn 179 modules/imgproc/src/sumpixels.cpp memset( tilted, 0, (size.width+cn)*sizeof(tilted[0])); cn 180 modules/imgproc/src/sumpixels.cpp tilted += tiltedstep + cn; cn 185 modules/imgproc/src/sumpixels.cpp for( y = 0; y < size.height; y++, src += srcstep - cn, sum += sumstep - cn ) cn 187 modules/imgproc/src/sumpixels.cpp for( k = 0; k < cn; k++, src++, sum++ ) cn 189 modules/imgproc/src/sumpixels.cpp ST s = sum[-cn] = 0; cn 190 modules/imgproc/src/sumpixels.cpp for( x = 0; x < size.width; x += cn ) cn 200 modules/imgproc/src/sumpixels.cpp for( y = 0; y < size.height; y++, src += srcstep - cn, cn 201 modules/imgproc/src/sumpixels.cpp sum += sumstep - cn, sqsum += sqsumstep - cn ) cn 203 modules/imgproc/src/sumpixels.cpp for( k = 0; k < cn; k++, src++, sum++, sqsum++ ) cn 205 modules/imgproc/src/sumpixels.cpp ST s = sum[-cn] = 0; cn 206 modules/imgproc/src/sumpixels.cpp QT sq = sqsum[-cn] = 0; cn 207 modules/imgproc/src/sumpixels.cpp for( x = 0; x < size.width; x += cn ) cn 222 modules/imgproc/src/sumpixels.cpp AutoBuffer<ST> _buf(size.width+cn); cn 226 modules/imgproc/src/sumpixels.cpp for( k = 0; k < cn; k++, src++, sum++, tilted++, buf++ ) cn 228 modules/imgproc/src/sumpixels.cpp sum[-cn] = tilted[-cn] = 0; cn 230 modules/imgproc/src/sumpixels.cpp for( x = 0, s = 0, sq = 0; x < size.width; x += cn ) cn 241 modules/imgproc/src/sumpixels.cpp if( size.width == cn ) cn 242 modules/imgproc/src/sumpixels.cpp buf[cn] = 0; cn 246 modules/imgproc/src/sumpixels.cpp sqsum[-cn] = 0; cn 253 modules/imgproc/src/sumpixels.cpp src += srcstep - cn; cn 254 modules/imgproc/src/sumpixels.cpp sum += sumstep - cn; cn 255 modules/imgproc/src/sumpixels.cpp tilted += tiltedstep - cn; cn 256 modules/imgproc/src/sumpixels.cpp buf += -cn; cn 259 modules/imgproc/src/sumpixels.cpp sqsum += sqsumstep - cn; cn 261 modules/imgproc/src/sumpixels.cpp for( k = 0; k < cn; k++, src++, sum++, tilted++, buf++ ) cn 267 modules/imgproc/src/sumpixels.cpp sum[-cn] = 0; cn 269 modules/imgproc/src/sumpixels.cpp sqsum[-cn] = 0; cn 270 modules/imgproc/src/sumpixels.cpp tilted[-cn] = tilted[-tiltedstep]; cn 275 modules/imgproc/src/sumpixels.cpp tilted[0] = tilted[-tiltedstep] + t0 + buf[cn]; cn 277 modules/imgproc/src/sumpixels.cpp for( x = cn; x < size.width - cn; x += cn ) cn 280 modules/imgproc/src/sumpixels.cpp buf[x - cn] = t1 + t0; cn 288 modules/imgproc/src/sumpixels.cpp t1 += buf[x + cn] + t0 + tilted[x - tiltedstep - cn]; cn 292 modules/imgproc/src/sumpixels.cpp if( size.width > cn ) cn 295 modules/imgproc/src/sumpixels.cpp buf[x - cn] = t1 + t0; cn 303 modules/imgproc/src/sumpixels.cpp tilted[x] = t0 + t1 + tilted[x - tiltedstep - cn]; cn 317 modules/imgproc/src/sumpixels.cpp ST* tilted, size_t tiltedstep, Size size, int cn ) \ cn 318 modules/imgproc/src/sumpixels.cpp { integral_(src, srcstep, sum, sumstep, sqsum, sqsumstep, tilted, tiltedstep, size, cn); } cn 336 modules/imgproc/src/sumpixels.cpp Size size, int cn ); cn 430 modules/imgproc/src/sumpixels.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 450 modules/imgproc/src/sumpixels.cpp _sum.create( isize, CV_MAKETYPE(sdepth, cn) ); cn 455 modules/imgproc/src/sumpixels.cpp _sqsum.create( isize, CV_MAKETYPE(sqdepth, cn) ); cn 462 modules/imgproc/src/sumpixels.cpp if( ( depth == CV_8U ) && ( sdepth == CV_32F || sdepth == CV_32S ) && ( !_tilted.needed() ) && ( !_sqsum.needed() || sqdepth == CV_64F ) && ( cn == 1 ) ) cn 500 modules/imgproc/src/sumpixels.cpp _tilted.create( isize, CV_MAKETYPE(sdepth, cn) ); cn 533 modules/imgproc/src/sumpixels.cpp tilted.ptr(), tilted.step, src.size(), cn ); cn 59 modules/imgproc/src/templmatch.cpp static bool extractFirstChannel_32F(InputArray _image, OutputArray _result, int cn) cn 67 modules/imgproc/src/templmatch.cpp ocl::typeToStr(depth), cn, pxPerWIy)); cn 81 modules/imgproc/src/templmatch.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 82 modules/imgproc/src/templmatch.cpp int wdepth = CV_32F, wtype = CV_MAKE_TYPE(wdepth, cn); cn 93 modules/imgproc/src/templmatch.cpp ocl::typeToStr(type), ocl::typeToStr(depth), ocl::typeToStr(wtype), cn, cn 94 modules/imgproc/src/templmatch.cpp ocl::convertTypeStr(depth, wdepth, cn, cvt), cn 256 modules/imgproc/src/templmatch.cpp int type = _image.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 257 modules/imgproc/src/templmatch.cpp int wdepth = CV_32F, wtype = CV_MAKE_TYPE(wdepth, cn); cn 260 modules/imgproc/src/templmatch.cpp int pxPerWIx = (cn==1 && dev.isIntel() && (dev.type() & ocl::Device::TYPE_GPU)) ? 4 : 1; cn 261 modules/imgproc/src/templmatch.cpp int rated_cn = cn; cn 273 modules/imgproc/src/templmatch.cpp const char* convertToWT1 = ocl::convertTypeStr(depth, wdepth, cn, cvt); cn 278 modules/imgproc/src/templmatch.cpp convertToWT, convertToWT1, cn, pxPerWIx)); cn 320 modules/imgproc/src/templmatch.cpp int type = _image.type(), cn = CV_MAT_CN(type); cn 323 modules/imgproc/src/templmatch.cpp format("-D CCORR_NORMED -D T=%s -D cn=%d", ocl::typeToStr(type), cn)); cn 349 modules/imgproc/src/templmatch.cpp int type = _image.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 350 modules/imgproc/src/templmatch.cpp int wdepth = CV_32F, wtype = CV_MAKE_TYPE(wdepth, cn); cn 355 modules/imgproc/src/templmatch.cpp ocl::typeToStr(wtype), ocl::convertTypeStr(depth, wdepth, cn, cvt), cn)); cn 378 modules/imgproc/src/templmatch.cpp int type = _image.type(), cn = CV_MAT_CN(type); cn 381 modules/imgproc/src/templmatch.cpp format("-D SQDIFF_PREPARED -D T=%s -D cn=%d", ocl::typeToStr(type), cn)); cn 409 modules/imgproc/src/templmatch.cpp int type = _image.type(), cn = CV_MAT_CN(type); cn 412 modules/imgproc/src/templmatch.cpp format("-D SQDIFF_NORMED -D T=%s -D cn=%d", ocl::typeToStr(type), cn)); cn 444 modules/imgproc/src/templmatch.cpp int type = image_sums.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 447 modules/imgproc/src/templmatch.cpp format("-D CCOEFF -D T=%s -D T1=%s -D cn=%d", ocl::typeToStr(type), ocl::typeToStr(depth), cn)); cn 454 modules/imgproc/src/templmatch.cpp if (cn==1) cn 479 modules/imgproc/src/templmatch.cpp int type = image_sums.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 482 modules/imgproc/src/templmatch.cpp format("-D CCOEFF_NORMED -D T=%s -D T1=%s -D cn=%d", ocl::typeToStr(type), ocl::typeToStr(depth), cn)); cn 493 modules/imgproc/src/templmatch.cpp if (cn == 1) cn 521 modules/imgproc/src/templmatch.cpp for (int i = 0; i < cn; i ++) cn 544 modules/imgproc/src/templmatch.cpp int cn = _img.channels(); cn 546 modules/imgproc/src/templmatch.cpp if (cn > 4) cn 644 modules/imgproc/src/templmatch.cpp int depth = img.depth(), cn = img.channels(); cn 692 modules/imgproc/src/templmatch.cpp if( cn > 1 && depth != maxDepth ) cn 696 modules/imgproc/src/templmatch.cpp if( (ccn > 1 || cn > 1) && cdepth != maxDepth ) cn 761 modules/imgproc/src/templmatch.cpp for( k = 0; k < cn; k++ ) cn 766 modules/imgproc/src/templmatch.cpp if( cn > 1 ) cn 820 modules/imgproc/src/templmatch.cpp int type = _img.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 831 modules/imgproc/src/templmatch.cpp type = CV_MAKETYPE(CV_32F, cn); cn 908 modules/imgproc/src/templmatch.cpp int type = _img.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 946 modules/imgproc/src/templmatch.cpp if (method == CV_TM_SQDIFF && cn == 1 && useIppMT) cn 959 modules/imgproc/src/templmatch.cpp if (cn == 1 && useIppMT) cn 1016 modules/imgproc/src/templmatch.cpp q1 = q0 + templ.cols*cn; cn 1018 modules/imgproc/src/templmatch.cpp q3 = q2 + templ.cols*cn; cn 1022 modules/imgproc/src/templmatch.cpp double* p1 = p0 + templ.cols*cn; cn 1024 modules/imgproc/src/templmatch.cpp double* p3 = p2 + templ.cols*cn; cn 1037 modules/imgproc/src/templmatch.cpp for( j = 0; j < result.cols; j++, idx += cn, idx2 += cn ) cn 1044 modules/imgproc/src/templmatch.cpp for( k = 0; k < cn; k++ ) cn 1056 modules/imgproc/src/templmatch.cpp for( k = 0; k < cn; k++ ) cn 1141 modules/imgproc/src/thresh.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), cn 1172 modules/imgproc/src/thresh.cpp k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(dst, cn, kercn), cn 1177 modules/imgproc/src/thresh.cpp size_t globalsize[2] = { dst.cols * cn / kercn, dst.rows }; cn 59 modules/imgproc/test/ocl/test_boxfilter.cpp int depth, cn, borderType; cn 70 modules/imgproc/test/ocl/test_boxfilter.cpp cn = GET_PARAM(1); cn 78 modules/imgproc/test/ocl/test_boxfilter.cpp int type = CV_MAKE_TYPE(depth, cn); cn 63 modules/imgproc/test/ocl/test_canny.cpp int cn, apperture_size; cn 71 modules/imgproc/test/ocl/test_canny.cpp cn = GET_PARAM(0); cn 79 modules/imgproc/test/ocl/test_canny.cpp Mat img = readImageType("shared/fruits.png", CV_8UC(cn)); cn 109 modules/imgproc/test/ocl/test_histogram.cpp int cn = randomInt(1, 5); cn 110 modules/imgproc/test/ocl/test_histogram.cpp randomSubMat(images[i], images_roi[i], roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 0, 125); cn 115 modules/imgproc/test/ocl/test_histogram.cpp channels.push_back(randomInt(0, cn) + totalChannels); cn 116 modules/imgproc/test/ocl/test_histogram.cpp totalChannels += cn; cn 100 modules/imgproc/test/test_bilateral_filter.cpp int cn = src.channels(); cn 150 modules/imgproc/test/test_bilateral_filter.cpp len = (float)(maxValSrc - minValSrc) * cn; cn 151 modules/imgproc/test/test_bilateral_filter.cpp kExpNumBins = kExpNumBinsPerChannel * cn; cn 178 modules/imgproc/test/test_bilateral_filter.cpp space_ofs[maxk++] = (int)(i*(temp.step/sizeof(float)) + j*cn); cn 183 modules/imgproc/test/test_bilateral_filter.cpp const float* sptr = temp.ptr<float>(i+radius) + radius*cn; cn 186 modules/imgproc/test/test_bilateral_filter.cpp if( cn == 1 ) cn 207 modules/imgproc/test/test_bilateral_filter.cpp assert( cn == 3 ); cn 123 modules/imgproc/test/test_color.cpp int depth, cn; cn 139 modules/imgproc/test/test_color.cpp cn = (cvtest::randInt(rng) & 1) + 3; cn 142 modules/imgproc/test/test_color.cpp types[INPUT][0] = CV_MAKETYPE(depth, cn); cn 145 modules/imgproc/test/test_color.cpp types[OUTPUT][1] = types[REF_OUTPUT][1] = CV_MAKETYPE(depth, cn); cn 147 modules/imgproc/test/test_color.cpp inplace = cn == 3 && cvtest::randInt(rng) % 2 != 0; cn 210 modules/imgproc/test/test_color.cpp int cn = src.channels(), dst_cn = dst.channels(); cn 218 modules/imgproc/test/test_color.cpp assert( (cn == 3 || cn == 4) && (dst_cn == 3 || dst_cn == 1) ); cn 231 modules/imgproc/test/test_color.cpp src_buf[j*3] = src_row[j*cn + blue_idx]*c8u; cn 232 modules/imgproc/test/test_color.cpp src_buf[j*3+1] = src_row[j*cn + 1]*c8u; cn 233 modules/imgproc/test/test_color.cpp src_buf[j*3+2] = src_row[j*cn + (blue_idx^2)]*c8u; cn 252 modules/imgproc/test/test_color.cpp src_buf[j*3] = src_row[j*cn + blue_idx]*c16u; cn 253 modules/imgproc/test/test_color.cpp src_buf[j*3+1] = src_row[j*cn + 1]*c16u; cn 254 modules/imgproc/test/test_color.cpp src_buf[j*3+2] = src_row[j*cn + (blue_idx^2)]*c16u; cn 273 modules/imgproc/test/test_color.cpp src_buf[j*3] = src_row[j*cn + blue_idx]; cn 274 modules/imgproc/test/test_color.cpp src_buf[j*3+1] = src_row[j*cn + 1]; cn 275 modules/imgproc/test/test_color.cpp src_buf[j*3+2] = src_row[j*cn + (blue_idx^2)]; cn 305 modules/imgproc/test/test_color.cpp int src_cn = dst.channels(), cn = dst2.channels(); cn 313 modules/imgproc/test/test_color.cpp assert( cn == 3 || cn == 4 ); cn 334 modules/imgproc/test/test_color.cpp dst_row[j*cn + blue_idx] = saturate_cast<uchar>(b); cn 335 modules/imgproc/test/test_color.cpp dst_row[j*cn + 1] = saturate_cast<uchar>(g); cn 336 modules/imgproc/test/test_color.cpp dst_row[j*cn + (blue_idx^2)] = saturate_cast<uchar>(r); cn 337 modules/imgproc/test/test_color.cpp if( cn == 4 ) cn 338 modules/imgproc/test/test_color.cpp dst_row[j*cn + 3] = 255; cn 357 modules/imgproc/test/test_color.cpp dst_row[j*cn + blue_idx] = saturate_cast<ushort>(b); cn 358 modules/imgproc/test/test_color.cpp dst_row[j*cn + 1] = saturate_cast<ushort>(g); cn 359 modules/imgproc/test/test_color.cpp dst_row[j*cn + (blue_idx^2)] = saturate_cast<ushort>(r); cn 360 modules/imgproc/test/test_color.cpp if( cn == 4 ) cn 361 modules/imgproc/test/test_color.cpp dst_row[j*cn + 3] = 65535; cn 377 modules/imgproc/test/test_color.cpp dst_row[j*cn + blue_idx] = b; cn 378 modules/imgproc/test/test_color.cpp dst_row[j*cn + 1] = g; cn 379 modules/imgproc/test/test_color.cpp dst_row[j*cn + (blue_idx^2)] = r; cn 380 modules/imgproc/test/test_color.cpp if( cn == 4 ) cn 381 modules/imgproc/test/test_color.cpp dst_row[j*cn + 3] = 1.f; cn 441 modules/imgproc/test/test_color.cpp int cn = CV_MAT_CN(types[INPUT][0]); cn 445 modules/imgproc/test/test_color.cpp if( cn == 3 ) cn 1290 modules/imgproc/test/test_color.cpp int cn = CV_MAT_CN(types[INPUT][0]); cn 1296 modules/imgproc/test/test_color.cpp types[INPUT][0] = types[OUTPUT][1] = types[REF_OUTPUT][1] = CV_MAKETYPE(CV_8U,cn); cn 1317 modules/imgproc/test/test_color.cpp if( cn == 3 ) cn 1341 modules/imgproc/test/test_color.cpp int depth = src.depth(), cn = src.channels(); cn 1364 modules/imgproc/test/test_color.cpp uchar b = src_row[j*cn + blue_idx]; cn 1365 modules/imgproc/test/test_color.cpp uchar g = src_row[j*cn + 1]; cn 1366 modules/imgproc/test/test_color.cpp uchar r = src_row[j*cn + (blue_idx^2)]; cn 1376 modules/imgproc/test/test_color.cpp int b = src_row[j*cn + blue_idx] >> 3; cn 1377 modules/imgproc/test/test_color.cpp int g = src_row[j*cn + 1] >> g_rshift; cn 1378 modules/imgproc/test/test_color.cpp int r = src_row[j*cn + (blue_idx^2)] >> 3; cn 1380 modules/imgproc/test/test_color.cpp if( cn == 4 && src_row[j*4+3] ) cn 1393 modules/imgproc/test/test_color.cpp ushort b = src_row[j*cn + blue_idx]; cn 1394 modules/imgproc/test/test_color.cpp ushort g = src_row[j*cn + 1]; cn 1395 modules/imgproc/test/test_color.cpp ushort r = src_row[j*cn + (blue_idx^2)]; cn 1409 modules/imgproc/test/test_color.cpp float b = src_row[j*cn + blue_idx]; cn 1410 modules/imgproc/test/test_color.cpp float g = src_row[j*cn + 1]; cn 1411 modules/imgproc/test/test_color.cpp float r = src_row[j*cn + (blue_idx^2)]; cn 1427 modules/imgproc/test/test_color.cpp int depth = src.depth(), cn = dst.channels(); cn 1454 modules/imgproc/test/test_color.cpp dst_row[j*cn + blue_idx] = b; cn 1455 modules/imgproc/test/test_color.cpp dst_row[j*cn + 1] = g; cn 1456 modules/imgproc/test/test_color.cpp dst_row[j*cn + (blue_idx^2)] = r; cn 1458 modules/imgproc/test/test_color.cpp if( cn == 4 ) cn 1459 modules/imgproc/test/test_color.cpp dst_row[j*cn + 3] = 255; cn 1471 modules/imgproc/test/test_color.cpp dst_row[j*cn + blue_idx] = b; cn 1472 modules/imgproc/test/test_color.cpp dst_row[j*cn + 1] = g; cn 1473 modules/imgproc/test/test_color.cpp dst_row[j*cn + (blue_idx^2)] = r; cn 1475 modules/imgproc/test/test_color.cpp if( cn == 4 ) cn 1478 modules/imgproc/test/test_color.cpp dst_row[j*cn + 3] = alpha; cn 1495 modules/imgproc/test/test_color.cpp dst_row[j*cn + blue_idx] = b; cn 1496 modules/imgproc/test/test_color.cpp dst_row[j*cn + 1] = g; cn 1497 modules/imgproc/test/test_color.cpp dst_row[j*cn + (blue_idx^2)] = r; cn 1499 modules/imgproc/test/test_color.cpp if( cn == 4 ) cn 1500 modules/imgproc/test/test_color.cpp dst_row[j*cn + 3] = 65535; cn 1515 modules/imgproc/test/test_color.cpp dst_row[j*cn + blue_idx] = b; cn 1516 modules/imgproc/test/test_color.cpp dst_row[j*cn + 1] = g; cn 1517 modules/imgproc/test/test_color.cpp dst_row[j*cn + (blue_idx^2)] = r; cn 1519 modules/imgproc/test/test_color.cpp if( cn == 4 ) cn 1520 modules/imgproc/test/test_color.cpp dst_row[j*cn + 3] = 1.f; cn 1898 modules/imgproc/test/test_color.cpp int cn = reference.channels(); cn 1899 modules/imgproc/test/test_color.cpp ssize.width *= cn; cn 1910 modules/imgproc/test/test_color.cpp ts->printf(cvtest::TS::SUMMARY, "Error in: (%d, %d)\n", x / cn, y); cn 1921 modules/imgproc/test/test_color.cpp std::cout << "lab: " << lab(cv::Rect(y, x / cn, 1, 1)) << std::endl; cn 1923 modules/imgproc/test/test_color.cpp std::cout << "src: " << src(cv::Rect(y, x / cn, 1, 1)) << std::endl; cn 2166 modules/imgproc/test/test_color.cpp int cn = reference.channels(); cn 2167 modules/imgproc/test/test_color.cpp ssize.width *= cn; cn 2177 modules/imgproc/test/test_color.cpp ts->printf(cvtest::TS::SUMMARY, "Error in: (%d, %d)\n", x / cn, y); cn 133 modules/imgproc/test/test_filter.cpp int cn = cvtest::randInt(rng) % 3 + 1; cn 136 modules/imgproc/test/test_filter.cpp cn += cn == 2; cn 138 modules/imgproc/test/test_filter.cpp types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth, cn); cn 200 modules/imgproc/test/test_filter.cpp int cn = CV_MAT_CN(types[INPUT][0]); cn 202 modules/imgproc/test/test_filter.cpp types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth, cn); cn 408 modules/imgproc/test/test_filter.cpp int cn = CV_MAT_CN(types[INPUT][0]); cn 410 modules/imgproc/test/test_filter.cpp types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth, cn); cn 642 modules/imgproc/test/test_filter.cpp int cn = CV_MAT_CN(types[INPUT][0]); cn 644 modules/imgproc/test/test_filter.cpp types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth,cn); cn 687 modules/imgproc/test/test_filter.cpp int cn = (cvtest::randInt(rng) % 4) + 1; cn 689 modules/imgproc/test/test_filter.cpp types[OUTPUT][0] = types[REF_OUTPUT][0] = types[INPUT][0] = CV_MAKETYPE(depth, cn); cn 868 modules/imgproc/test/test_filter.cpp int cn = CV_MAT_CN(types[INPUT][0]); cn 869 modules/imgproc/test/test_filter.cpp types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth,cn); cn 997 modules/imgproc/test/test_filter.cpp int i, cn = src0.channels(); cn 1001 modules/imgproc/test/test_filter.cpp if( cn == 1 ) cn 1006 modules/imgproc/test/test_filter.cpp for( i = 0; i < cn; i++ ) cn 1009 modules/imgproc/test/test_filter.cpp if( cn > 1 ) cn 1016 modules/imgproc/test/test_filter.cpp if( cn > 1 ) cn 1065 modules/imgproc/test/test_filter.cpp int cn = channels[cvtest::randInt(rng) % (sizeof(channels)/sizeof(channels[0]))]; cn 1070 modules/imgproc/test/test_filter.cpp types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth, cn); cn 1608 modules/imgproc/test/test_filter.cpp int cn = cvtest::randInt(rng) % 3 + 1; cn 1613 modules/imgproc/test/test_filter.cpp cn += cn == 2; cn 1617 modules/imgproc/test/test_filter.cpp types[INPUT][0] = CV_MAKETYPE(depth,cn); cn 1619 modules/imgproc/test/test_filter.cpp types[OUTPUT][2] = types[REF_OUTPUT][2] = CV_MAKETYPE(sum_depth, cn); cn 1620 modules/imgproc/test/test_filter.cpp types[OUTPUT][1] = types[REF_OUTPUT][1] = CV_MAKETYPE(CV_64F, cn); cn 1729 modules/imgproc/test/test_filter.cpp int cn = src.channels(); cn 1736 modules/imgproc/test/test_filter.cpp if( cn == 1 ) cn 1744 modules/imgproc/test/test_filter.cpp for( int i = 0; i < cn; i++ ) cn 1746 modules/imgproc/test/test_filter.cpp if( cn > 1 ) cn 1757 modules/imgproc/test/test_filter.cpp if( cn > 1 ) cn 1929 modules/imgproc/test/test_filter.cpp int cn = rng.uniform(1, 5); cn 1932 modules/imgproc/test/test_filter.cpp Mat src(height, width, CV_8UC(cn)), dst0, dst1, dst2; cn 95 modules/imgproc/test/test_floodfill.cpp int depth, cn; cn 102 modules/imgproc/test/test_floodfill.cpp cn = cvtest::randInt(rng) & 1 ? 3 : 1; cn 110 modules/imgproc/test/test_floodfill.cpp types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(depth, cn); cn 140 modules/imgproc/test/test_floodfill.cpp for( i = 0; i < cn; i++ ) cn 253 modules/imgproc/test/test_floodfill.cpp int cn = CV_MAT_CN(_img->type); cn 284 modules/imgproc/test/test_floodfill.cpp p0.iofs = seed_pt.y*step + seed_pt.x*cn; cn 296 modules/imgproc/test/test_floodfill.cpp mdelta[1] = -1; idelta[1] = -cn; cn 297 modules/imgproc/test/test_floodfill.cpp mdelta[2] = 1; idelta[2] = cn; cn 304 modules/imgproc/test/test_floodfill.cpp idelta[0] = -step-cn; idelta[1] = -step; idelta[2] = -step+cn; cn 307 modules/imgproc/test/test_floodfill.cpp idelta[3] = -cn; idelta[4] = cn; cn 310 modules/imgproc/test/test_floodfill.cpp idelta[5] = step-cn; idelta[6] = step; idelta[7] = step+cn; cn 313 modules/imgproc/test/test_floodfill.cpp if( cn == 1 ) cn 442 modules/imgproc/test/test_floodfill.cpp if( cn == 1 ) cn 453 modules/imgproc/test/test_floodfill.cpp if( cn == 1 ) cn 103 modules/imgproc/test/test_imgwarp.cpp int cn = cvtest::randInt(rng) % 3 + 1; cn 106 modules/imgproc/test/test_imgwarp.cpp cn += cn == 2; cn 108 modules/imgproc/test/test_imgwarp.cpp types[INPUT][0] = types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(depth, cn); cn 127 modules/imgproc/test/test_imgwarp.cpp int type = img.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 130 modules/imgproc/test/test_imgwarp.cpp vector<float> buffer(img.cols*cn); cn 142 modules/imgproc/test/test_imgwarp.cpp switch( cn ) cn 193 modules/imgproc/test/test_imgwarp.cpp cv::Mat src(1, cols*cn, CV_32F, &buffer[0]); cn 194 modules/imgproc/test/test_imgwarp.cpp cv::Mat dst(1, cols*cn, depth, ptr); cn 348 modules/imgproc/test/test_imgwarp.cpp int depth = src.depth(), cn = src.channels(); cn 402 modules/imgproc/test/test_imgwarp.cpp const uchar* sptr = sptr0 + iys*step + ixs*cn; cn 403 modules/imgproc/test/test_imgwarp.cpp for( k = 0; k < cn; k++ ) cn 406 modules/imgproc/test/test_imgwarp.cpp float v01 = sptr[cn + k]; cn 408 modules/imgproc/test/test_imgwarp.cpp float v11 = sptr[step + cn + k]; cn 419 modules/imgproc/test/test_imgwarp.cpp const ushort* sptr = (const ushort*)sptr0 + iys*step + ixs*cn; cn 420 modules/imgproc/test/test_imgwarp.cpp for( k = 0; k < cn; k++ ) cn 423 modules/imgproc/test/test_imgwarp.cpp float v01 = sptr[cn + k]; cn 425 modules/imgproc/test/test_imgwarp.cpp float v11 = sptr[step + cn + k]; cn 436 modules/imgproc/test/test_imgwarp.cpp const float* sptr = (const float*)sptr0 + iys*step + ixs*cn; cn 437 modules/imgproc/test/test_imgwarp.cpp for( k = 0; k < cn; k++ ) cn 440 modules/imgproc/test/test_imgwarp.cpp float v01 = sptr[cn + k]; cn 442 modules/imgproc/test/test_imgwarp.cpp float v11 = sptr[step + cn + k]; cn 1108 modules/imgproc/test/test_imgwarp.cpp int cn = dst.channels(); cn 1113 modules/imgproc/test/test_imgwarp.cpp float* d = dst.ptr<float>(y) + x*cn; cn 1117 modules/imgproc/test/test_imgwarp.cpp int dx = cn, dy = sstep; cn 1126 modules/imgproc/test/test_imgwarp.cpp s = src.ptr<float>(iy) + ix*cn; cn 1127 modules/imgproc/test/test_imgwarp.cpp for( int k = 0; k < cn; k++, s++ ) cn 1168 modules/imgproc/test/test_imgwarp.cpp int cn = cvtest::randInt(rng) % 2 ? 3 : 1; cn 1175 modules/imgproc/test/test_imgwarp.cpp types[INPUT][0] = CV_MAKETYPE(src_depth,cn); cn 1176 modules/imgproc/test/test_imgwarp.cpp types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(dst_depth,cn); cn 1276 modules/imgproc/test/test_imgwarp.cpp int cn = cvtest::randInt(rng) % 2 ? 3 : 1; cn 1282 modules/imgproc/test/test_imgwarp.cpp types[INPUT][0] = CV_MAKETYPE(src_depth,cn); cn 1283 modules/imgproc/test/test_imgwarp.cpp types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(dst_depth,cn); cn 1571 modules/imgproc/test/test_imgwarp.cpp int cn = src.channels(); cn 1580 modules/imgproc/test/test_imgwarp.cpp for (int x = 0; x < dst.cols * cn; x += cn) cn 1584 modules/imgproc/test/test_imgwarp.cpp for (int c = 0; c < cn; ++c) cn 1586 modules/imgproc/test/test_imgwarp.cpp WT sum = WT(sptr0[x1 + c]) + WT(sptr0[x1 + c + cn]); cn 1587 modules/imgproc/test/test_imgwarp.cpp sum += WT(sptr1[x1 + c]) + WT(sptr1[x1 + c + cn]) + (WT)(one); cn 1607 modules/imgproc/test/test_imgwarp.cpp int type = types[i], depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 1611 modules/imgproc/test/test_imgwarp.cpp SCOPED_TRACE(cn); cn 1642 modules/imgproc/test/test_imgwarp.cpp int cn = rng.uniform(1, 10); cn 1643 modules/imgproc/test/test_imgwarp.cpp Mat src(height, width, CV_8UC(cn)), dst; cn 157 modules/imgproc/test/test_imgwarp_strict.cpp int cn = rng.uniform(1, 4); cn 158 modules/imgproc/test/test_imgwarp_strict.cpp while (cn == 2) cn 159 modules/imgproc/test/test_imgwarp_strict.cpp cn = rng.uniform(1, 4); cn 161 modules/imgproc/test/test_imgwarp_strict.cpp src.create(ssize, CV_MAKE_TYPE(depth, cn)); cn 243 modules/imgproc/test/test_imgwarp_strict.cpp int cn = _dst.channels(); cn 244 modules/imgproc/test/test_imgwarp_strict.cpp dsize.width *= cn; cn 266 modules/imgproc/test/test_imgwarp_strict.cpp PRINT_TO_LOG("Error in (dx, dy): (%d, %d)\n", dx / cn + 1, dy + 1); cn 268 modules/imgproc/test/test_imgwarp_strict.cpp PRINT_TO_LOG("Dsize: (%d, %d)\n", dsize.width / cn, dsize.height); cn 285 modules/imgproc/test/test_imgwarp_strict.cpp PRINT_TO_LOG("Channels: %d\n", cn); cn 307 modules/imgproc/test/test_imgwarp_strict.cpp int cmin = MAX(dx / cn - radius, 0), cmax = MIN(dx / cn + radius, dsize.width); cn 462 modules/imgproc/test/test_imgwarp_strict.cpp int cn = src.channels(); cn 477 modules/imgproc/test/test_imgwarp_strict.cpp float* xyD = yD + cn * dx; cn 484 modules/imgproc/test/test_imgwarp_strict.cpp for (int r = 0; r < cn; ++r) cn 496 modules/imgproc/test/test_imgwarp_strict.cpp xyD[r] += static_cast<float>(yS[sx * cn + r] * w); cn 515 modules/imgproc/test/test_imgwarp_strict.cpp int cn = _dst.channels(); cn 524 modules/imgproc/test/test_imgwarp_strict.cpp const float* xyS = yS + isx * cn; cn 525 modules/imgproc/test/test_imgwarp_strict.cpp float* xyD = yD + dx * cn; cn 527 modules/imgproc/test/test_imgwarp_strict.cpp for (int r = 0; r < cn; ++r) cn 556 modules/imgproc/test/test_imgwarp_strict.cpp float *xyD = yD + dx * cn; cn 557 modules/imgproc/test/test_imgwarp_strict.cpp const float* xyS = _extended_src_row.ptr<float>(0) + (isx + ksize - ofs) * cn; cn 562 modules/imgproc/test/test_imgwarp_strict.cpp for (int r = 0; r < cn; ++r) cn 566 modules/imgproc/test/test_imgwarp_strict.cpp xyD[r] += w[k] * xyS[k * cn + r]; cn 834 modules/imgproc/test/test_imgwarp_strict.cpp int cn = _src.channels(); cn 843 modules/imgproc/test/test_imgwarp_strict.cpp float* xyD = yD + cn * dx; cn 848 modules/imgproc/test/test_imgwarp_strict.cpp const float *xyS = _src.ptr<float>(sy) + sx * cn; cn 850 modules/imgproc/test/test_imgwarp_strict.cpp for (int r = 0; r < cn; ++r) cn 856 modules/imgproc/test/test_imgwarp_strict.cpp for (int r = 0; r < cn; ++r) cn 864 modules/imgproc/test/test_imgwarp_strict.cpp const float *xyS = _src.ptr<float>(sy) + sx * cn; cn 866 modules/imgproc/test/test_imgwarp_strict.cpp for (int r = 0; r < cn; ++r) cn 889 modules/imgproc/test/test_imgwarp_strict.cpp int cn = _src.channels(), width1 = std::max(ssize.width - ksize + 1, 0), cn 904 modules/imgproc/test/test_imgwarp_strict.cpp float* xyD = yD + dx * cn; cn 916 modules/imgproc/test/test_imgwarp_strict.cpp for (int r = 0; r < cn; ++r) cn 920 modules/imgproc/test/test_imgwarp_strict.cpp const float* xyS = _src.ptr<float>(isy + y) + isx * cn; cn 924 modules/imgproc/test/test_imgwarp_strict.cpp ix[y] += w[i] * xyS[i * cn + r]; cn 937 modules/imgproc/test/test_imgwarp_strict.cpp ar_x[k] = borderInterpolate(isx + k, ssize.width, borderType) * cn; cn 941 modules/imgproc/test/test_imgwarp_strict.cpp for (int r = 0; r < cn; r++) cn 113 modules/imgproc/test/test_moments.cpp int cn = (cvtest::randInt(rng) % 4) + 1; cn 123 modules/imgproc/test/test_moments.cpp if( cn == 2 || try_umat ) cn 124 modules/imgproc/test/test_moments.cpp cn = 1; cn 127 modules/imgproc/test/test_moments.cpp cn = 1; cn 134 modules/imgproc/test/test_moments.cpp types[INPUT][0] = CV_MAKETYPE(depth, cn); cn 142 modules/imgproc/test/test_moments.cpp if( cn > 1 ) cn 144 modules/imgproc/test/test_moments.cpp coi = cvtest::randInt(rng) % cn; cn 161 modules/imgproc/test/test_moments.cpp int cn = test_mat[INPUT][0].channels(); cn 162 modules/imgproc/test/test_moments.cpp if( cn > 1 ) cn 209 modules/imgproc/test/test_moments.cpp int cn = src.channels(); cn 223 modules/imgproc/test/test_moments.cpp val = ptr[x*cn + coi]; cn 225 modules/imgproc/test/test_moments.cpp val = ((ushort*)ptr)[x*cn + coi]; cn 227 modules/imgproc/test/test_moments.cpp val = ((short*)ptr)[x*cn + coi]; cn 229 modules/imgproc/test/test_moments.cpp val = ((float*)ptr)[x*cn + coi]; cn 269 modules/imgproc/test/test_moments.cpp val = ptr[x*cn + coi]; cn 271 modules/imgproc/test/test_moments.cpp val = ((ushort*)ptr)[x*cn + coi]; cn 273 modules/imgproc/test/test_moments.cpp val = ((short*)ptr)[x*cn + coi]; cn 275 modules/imgproc/test/test_moments.cpp val = ((float*)ptr)[x*cn + coi]; cn 108 modules/imgproc/test/test_templmatch.cpp int depth = cvtest::randInt(rng) % 2, cn = cvtest::randInt(rng) & 1 ? 3 : 1; cn 112 modules/imgproc/test/test_templmatch.cpp types[INPUT][0] = types[INPUT][1] = CV_MAKETYPE(depth,cn); cn 151 modules/imgproc/test/test_templmatch.cpp int depth = CV_MAT_DEPTH(img->type), cn = CV_MAT_CN(img->type); cn 152 modules/imgproc/test/test_templmatch.cpp int width_n = templ->cols*cn, height = templ->rows; cn 161 modules/imgproc/test/test_templmatch.cpp for( i = 0; i < cn; i++ ) cn 181 modules/imgproc/test/test_templmatch.cpp for( i = 0; i < cn; i++ ) cn 201 modules/imgproc/test/test_templmatch.cpp const uchar* a = img->data.ptr + i*img->step + j*cn; cn 204 modules/imgproc/test/test_templmatch.cpp if( cn == 1 || method < CV_TM_CCOEFF ) cn 233 modules/imgproc/test/test_templmatch.cpp const float* a = (const float*)(img->data.ptr + i*img->step) + j*cn; cn 236 modules/imgproc/test/test_templmatch.cpp if( cn == 1 || method < CV_TM_CCOEFF ) cn 78 modules/imgproc/test/test_thresh.cpp int depth = cvtest::randInt(rng) % 3, cn = cvtest::randInt(rng) % 4 + 1; cn 82 modules/imgproc/test/test_thresh.cpp types[INPUT][0] = types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(depth,cn); cn 126 modules/imgproc/test/test_thresh.cpp int depth = _src.depth(), cn = _src.channels(); cn 127 modules/imgproc/test/test_thresh.cpp int width_n = _src.cols*cn, height = _src.rows; cn 1241 modules/java/generator/src/cpp/Mat.cpp (JNIEnv* env, jclass, jlong self, jint cn, jint rows); cn 1244 modules/java/generator/src/cpp/Mat.cpp (JNIEnv* env, jclass, jlong self, jint cn, jint rows) cn 1250 modules/java/generator/src/cpp/Mat.cpp Mat _retval_ = me->reshape( cn, rows ); cn 1264 modules/java/generator/src/cpp/Mat.cpp (JNIEnv* env, jclass, jlong self, jint cn); cn 1267 modules/java/generator/src/cpp/Mat.cpp (JNIEnv* env, jclass, jlong self, jint cn) cn 1273 modules/java/generator/src/cpp/Mat.cpp Mat _retval_ = me->reshape( cn ); cn 240 modules/objdetect/src/hog.cpp int cn = img.channels(); cn 293 modules/objdetect/src/hog.cpp if (cn == 3) cn 320 modules/objdetect/src/hog.cpp if( cn == 1 ) cn 1199 modules/objdetect/test/test_cascadeandhog.cpp int cn = img.channels(); cn 1243 modules/objdetect/test/test_cascadeandhog.cpp if( cn == 1 ) cn 114 modules/photo/src/denoising.cpp int hn = (int)h.size(), type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 115 modules/photo/src/denoising.cpp CV_Assert(hn == 1 || hn == cn); cn 172 modules/photo/src/denoising.cpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 205 modules/photo/src/denoising.cpp cvtColor(dst_lab, dst, COLOR_Lab2LBGR, cn); cn 328 modules/photo/src/denoising.cpp int type = srcImgs[0].type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 329 modules/photo/src/denoising.cpp CV_Assert(hn == 1 || hn == cn); cn 34 modules/photo/src/fast_nlmeans_denoising_opencl.hpp const FT *h, int hn, int cn, int normType, cn 55 modules/photo/src/fast_nlmeans_denoising_opencl.hpp int maxDist = normType == NORM_L1 ? std::numeric_limits<ST>::max() * cn : cn 56 modules/photo/src/fast_nlmeans_denoising_opencl.hpp std::numeric_limits<ST>::max() * std::numeric_limits<ST>::max() * cn; cn 61 modules/photo/src/fast_nlmeans_denoising_opencl.hpp den[i] = 1.0f / (h[i] * h[i] * cn); cn 87 modules/photo/src/fast_nlmeans_denoising_opencl.hpp int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 91 modules/photo/src/fast_nlmeans_denoising_opencl.hpp if (cn < 1 || cn > 4 || ((normType != NORM_L2 || depth != CV_8U) && cn 110 modules/photo/src/fast_nlmeans_denoising_opencl.hpp ocl::typeToStr(type), ocl::typeToStr(CV_32SC(cn)), cn 116 modules/photo/src/fast_nlmeans_denoising_opencl.hpp depth == CV_8U ? ocl::typeToStr(CV_32SC(cn)) : cn 117 modules/photo/src/fast_nlmeans_denoising_opencl.hpp format("long%s", cn > 1 ? format("%d", cn).c_str() : "").c_str(), cn 118 modules/photo/src/fast_nlmeans_denoising_opencl.hpp depth == CV_8U ? ocl::convertTypeStr(depth, CV_32S, cn, buf[1]) : cn 119 modules/photo/src/fast_nlmeans_denoising_opencl.hpp format("convert_long%s", cn > 1 ? format("%d", cn).c_str() : "").c_str(), cn 122 modules/photo/src/fast_nlmeans_denoising_opencl.hpp ocl::convertTypeStr(depth, CV_32S, cn, buf[2]), cn, cn 123 modules/photo/src/fast_nlmeans_denoising_opencl.hpp (depth == CV_8U ? sizeof(uchar) : sizeof(ushort)) * (cn == 3 ? 4 : cn), cn 124 modules/photo/src/fast_nlmeans_denoising_opencl.hpp ocl::convertTypeStr(CV_32S, depth, cn, buf[3]), cn 135 modules/photo/src/fast_nlmeans_denoising_opencl.hpp h, hn, cn, normType, cn 140 modules/photo/src/fast_nlmeans_denoising_opencl.hpp h, hn, cn, normType, cn 147 modules/photo/src/fast_nlmeans_denoising_opencl.hpp if (cn == 3) { cn 160 modules/photo/src/fast_nlmeans_denoising_opencl.hpp if (cn == 3) cn 168 modules/photo/src/fast_nlmeans_denoising_opencl.hpp UMat buffer(upColSumSize + colSumSize, CV_32SC(cn)); cn 178 modules/photo/src/fast_nlmeans_denoising_opencl.hpp if (cn == 3) { cn 18 modules/photo/test/ocl/test_denoising.cpp int cn, normType, templateWindowSize, searchWindowSize; cn 27 modules/photo/test/ocl/test_denoising.cpp cn = GET_PARAM(0); cn 35 modules/photo/test/ocl/test_denoising.cpp h.resize(cn); cn 36 modules/photo/test/ocl/test_denoising.cpp for (int i=0; i<cn; i++) cn 42 modules/photo/test/ocl/test_denoising.cpp const int type = CV_8UC(cn); cn 47 modules/photo/test/ocl/test_denoising.cpp cn == 1 ? IMREAD_GRAYSCALE : IMREAD_COLOR); cn 55 modules/photo/test/ocl/test_denoising.cpp ASSERT_TRUE(cn > 0 && cn <= 4); cn 56 modules/photo/test/ocl/test_denoising.cpp if (cn == 2) { cn 61 modules/photo/test/ocl/test_denoising.cpp else if (cn == 4) { cn 168 modules/python/src2/cv2.cpp int cn = CV_MAT_CN(type); cn 178 modules/python/src2/cv2.cpp if( cn > 1 ) cn 179 modules/python/src2/cv2.cpp _sizes[dims++] = cn; cn 247 modules/superres/src/btv_l1.cpp int type = _src.type(), cn = CV_MAT_CN(type); cn 249 modules/superres/src/btv_l1.cpp format("-D cn=%d", cn)); cn 271 modules/superres/src/btv_l1.cpp int cn = _src.channels(); cn 272 modules/superres/src/btv_l1.cpp CV_Assert( cn == 1 || cn == 3 || cn == 4 ); cn 283 modules/superres/src/btv_l1.cpp const func_t func = funcs[cn]; cn 314 modules/superres/src/btv_l1.cpp int cn = src1.channels(); cn 317 modules/superres/src/btv_l1.cpp ocl::KernelArg::WriteOnly(dst, cn)); cn 319 modules/superres/src/btv_l1.cpp size_t globalsize[2] = { src1.cols * cn, src1.rows }; cn 423 modules/superres/src/btv_l1.cpp int cn = _src.channels(); cn 425 modules/superres/src/btv_l1.cpp format("-D cn=%d", cn)); cn 70 modules/superres/src/btv_l1_cuda.cpp template <int cn> cn 76 modules/superres/src/btv_l1_cuda.cpp template <int cn> void calcBtvRegularization(PtrStepSzb src, PtrStepSzb dst, int ksize); cn 167 modules/superres/src/input_array_utility.cpp void convertToCn(InputArray src, OutputArray dst, int cn) cn 171 modules/superres/src/input_array_utility.cpp CV_Assert( cn == 1 || cn == 3 || cn == 4 ); cn 182 modules/superres/src/input_array_utility.cpp const int code = codes[scn][cn]; cn 189 modules/superres/src/input_array_utility.cpp cuda::cvtColor(src.getGpuMat(), dst.getGpuMatRef(), code, cn); cn 196 modules/superres/src/input_array_utility.cpp cv::cvtColor(src, dst, code, cn); cn 242 modules/superres/src/input_array_utility.cpp const int cn = CV_MAT_CN(type); cn 246 modules/superres/src/input_array_utility.cpp convertToCn(src, buf0, cn); cn 250 modules/superres/src/input_array_utility.cpp if (src.channels() == cn) cn 256 modules/superres/src/input_array_utility.cpp convertToCn(src, buf0, cn); cn 267 modules/superres/src/input_array_utility.cpp const int cn = CV_MAT_CN(type); cn 271 modules/superres/src/input_array_utility.cpp convertToCn(src, buf0, cn); cn 275 modules/superres/src/input_array_utility.cpp if (src.channels() == cn) cn 281 modules/superres/src/input_array_utility.cpp convertToCn(src, buf0, cn); cn 292 modules/superres/src/input_array_utility.cpp const int cn = CV_MAT_CN(type); cn 296 modules/superres/src/input_array_utility.cpp convertToCn(src, buf0, cn); cn 300 modules/superres/src/input_array_utility.cpp if (src.channels() == cn) cn 306 modules/superres/src/input_array_utility.cpp convertToCn(src, buf0, cn); cn 112 modules/superres/test/test_superres.cpp int type = _image.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type); cn 113 modules/superres/test/test_superres.cpp cv::Mat noise(_image.size(), CV_32FC(cn)); cn 198 modules/ts/include/opencv2/ts/ts_perf.hpp static double getElem(cv::Mat& m, int x, int y, int cn = 0); cn 227 modules/ts/src/cuda_test.cpp const int cn = m.channels(); cn 232 modules/ts/src/cuda_test.cpp p.x /= cn; cn 234 modules/ts/src/cuda_test.cpp ostr << static_cast<OutT>(m.at<T>(p.y, p.x * cn)); cn 237 modules/ts/src/cuda_test.cpp ostr << ", " << static_cast<OutT>(m.at<T>(p.y, p.x * cn + c)); cn 375 modules/ts/src/cuda_test.cpp for (int cn = cn_start; cn <= cn_end; ++cn) cn 377 modules/ts/src/cuda_test.cpp v.push_back(MatType(CV_MAKE_TYPE(depth, cn))); cn 185 modules/ts/src/ts_func.cpp int cn=a.channels(); cn 186 modules/ts/src/ts_func.cpp int total = (int)planes[0].total(), maxsize = std::min(12*12*std::max(12/cn, 1), total); cn 189 modules/ts/src/ts_func.cpp buf[0].create(1, maxsize, CV_64FC(cn)); cn 191 modules/ts/src/ts_func.cpp buf[1].create(1, maxsize, CV_64FC(cn)); cn 192 modules/ts/src/ts_func.cpp buf[2].create(1, maxsize, CV_64FC(cn)); cn 193 modules/ts/src/ts_func.cpp scalarToRawData(gamma, buf[2].ptr(), CV_64FC(cn), (int)(maxsize*cn)); cn 205 modules/ts/src/ts_func.cpp size_t k, n = (j2 - j)*cn; cn 511 modules/ts/src/ts_func.cpp randUniInt_(RNG& rng, _Tp* data, size_t total, int cn, const Scalar& scale, const Scalar& delta) cn 513 modules/ts/src/ts_func.cpp for( size_t i = 0; i < total; i += cn ) cn 514 modules/ts/src/ts_func.cpp for( int k = 0; k < cn; k++ ) cn 523 modules/ts/src/ts_func.cpp randUniFlt_(RNG& rng, _Tp* data, size_t total, int cn, const Scalar& scale, const Scalar& delta) cn 525 modules/ts/src/ts_func.cpp for( size_t i = 0; i < total; i += cn ) cn 526 modules/ts/src/ts_func.cpp for( int k = 0; k < cn; k++ ) cn 558 modules/ts/src/ts_func.cpp int depth = a.depth(), cn = a.channels(); cn 559 modules/ts/src/ts_func.cpp size_t total = plane.total()*cn; cn 566 modules/ts/src/ts_func.cpp randUniInt_(rng, plane.ptr<uchar>(), total, cn, scale, delta); cn 569 modules/ts/src/ts_func.cpp randUniInt_(rng, plane.ptr<schar>(), total, cn, scale, delta); cn 572 modules/ts/src/ts_func.cpp randUniInt_(rng, plane.ptr<ushort>(), total, cn, scale, delta); cn 575 modules/ts/src/ts_func.cpp randUniInt_(rng, plane.ptr<short>(), total, cn, scale, delta); cn 578 modules/ts/src/ts_func.cpp randUniInt_(rng, plane.ptr<int>(), total, cn, scale, delta); cn 581 modules/ts/src/ts_func.cpp randUniFlt_(rng, plane.ptr<float>(), total, cn, scale, delta); cn 584 modules/ts/src/ts_func.cpp randUniFlt_(rng, plane.ptr<double>(), total, cn, scale, delta); cn 660 modules/ts/src/ts_func.cpp int step = (int)(src.step/src.elemSize1()), cn = src.channels(); cn 664 modules/ts/src/ts_func.cpp ofs.push_back(i*step + j*cn); cn 666 modules/ts/src/ts_func.cpp ofs.push_back(anchor.y*step + anchor.x*cn); cn 717 modules/ts/src/ts_func.cpp int step = (int)(src.step/src.elemSize1()), cn = src.channels(); cn 721 modules/ts/src/ts_func.cpp ofs.push_back(i*step + j*cn); cn 723 modules/ts/src/ts_func.cpp ofs.push_back(anchor.y*step + anchor.x*cn); cn 797 modules/ts/src/ts_func.cpp int step = (int)(src.step/src.elemSize1()), cn = src.channels(); cn 800 modules/ts/src/ts_func.cpp ofs.push_back(i*step + j*cn); cn 1128 modules/ts/src/ts_func.cpp norm_(const _Tp* src, size_t total, int cn, int normType, double startval, const uchar* mask) cn 1133 modules/ts/src/ts_func.cpp total *= cn; cn 1141 modules/ts/src/ts_func.cpp for( int c = 0; c < cn; c++ ) cn 1145 modules/ts/src/ts_func.cpp result = std::max(result, (double)std::abs(0+src[i*cn + c])); cn 1154 modules/ts/src/ts_func.cpp for( int c = 0; c < cn; c++ ) cn 1158 modules/ts/src/ts_func.cpp result += std::abs(0+src[i*cn + c]); cn 1170 modules/ts/src/ts_func.cpp for( int c = 0; c < cn; c++ ) cn 1175 modules/ts/src/ts_func.cpp double v = src[i*cn + c]; cn 1185 modules/ts/src/ts_func.cpp norm_(const _Tp* src1, const _Tp* src2, size_t total, int cn, int normType, double startval, const uchar* mask) cn 1190 modules/ts/src/ts_func.cpp total *= cn; cn 1198 modules/ts/src/ts_func.cpp for( int c = 0; c < cn; c++ ) cn 1202 modules/ts/src/ts_func.cpp result = std::max(result, (double)std::abs(src1[i*cn + c] - src2[i*cn + c])); cn 1211 modules/ts/src/ts_func.cpp for( int c = 0; c < cn; c++ ) cn 1215 modules/ts/src/ts_func.cpp result += std::abs(src1[i*cn + c] - src2[i*cn + c]); cn 1227 modules/ts/src/ts_func.cpp for( int c = 0; c < cn; c++ ) cn 1232 modules/ts/src/ts_func.cpp double v = src1[i*cn + c] - src2[i*cn + c]; cn 1280 modules/ts/src/ts_func.cpp int depth = src.depth(), cn = planes[0].channels(); cn 1291 modules/ts/src/ts_func.cpp result = norm_((const uchar*)sptr, total, cn, normType, result, mptr); cn 1294 modules/ts/src/ts_func.cpp result = norm_((const schar*)sptr, total, cn, normType, result, mptr); cn 1297 modules/ts/src/ts_func.cpp result = norm_((const ushort*)sptr, total, cn, normType, result, mptr); cn 1300 modules/ts/src/ts_func.cpp result = norm_((const short*)sptr, total, cn, normType, result, mptr); cn 1303 modules/ts/src/ts_func.cpp result = norm_((const int*)sptr, total, cn, normType, result, mptr); cn 1306 modules/ts/src/ts_func.cpp result = norm_((const float*)sptr, total, cn, normType, result, mptr); cn 1309 modules/ts/src/ts_func.cpp result = norm_((const double*)sptr, total, cn, normType, result, mptr); cn 1361 modules/ts/src/ts_func.cpp int depth = src1.depth(), cn = planes[0].channels(); cn 1373 modules/ts/src/ts_func.cpp result = norm_((const uchar*)sptr1, (const uchar*)sptr2, total, cn, normType, result, mptr); cn 1376 modules/ts/src/ts_func.cpp result = norm_((const schar*)sptr1, (const schar*)sptr2, total, cn, normType, result, mptr); cn 1379 modules/ts/src/ts_func.cpp result = norm_((const ushort*)sptr1, (const ushort*)sptr2, total, cn, normType, result, mptr); cn 1382 modules/ts/src/ts_func.cpp result = norm_((const short*)sptr1, (const short*)sptr2, total, cn, normType, result, mptr); cn 1385 modules/ts/src/ts_func.cpp result = norm_((const int*)sptr1, (const int*)sptr2, total, cn, normType, result, mptr); cn 1388 modules/ts/src/ts_func.cpp result = norm_((const float*)sptr1, (const float*)sptr2, total, cn, normType, result, mptr); cn 1391 modules/ts/src/ts_func.cpp result = norm_((const double*)sptr1, (const double*)sptr2, total, cn, normType, result, mptr); cn 2158 modules/ts/src/ts_func.cpp int d_rows, int d_cols, int a_cols, int cn, cn 2169 modules/ts/src/ts_func.cpp if( cn == 1 ) cn 2224 modules/ts/src/ts_func.cpp int cn = a.channels(); cn 2225 modules/ts/src/ts_func.cpp int a_step = (int)a.step1(), a_delta = cn; cn 2226 modules/ts/src/ts_func.cpp int b_step = (int)b.step1(), b_delta = cn; cn 2229 modules/ts/src/ts_func.cpp CV_Assert( a.type() == b.type() && a.dims == 2 && b.dims == 2 && cn <= 2 ); cn 2248 modules/ts/src/ts_func.cpp c_delta = cn; cn 2264 modules/ts/src/ts_func.cpp (int)d.step1(), a_rows, b_cols, a_cols, cn, alpha, beta ); cn 2268 modules/ts/src/ts_func.cpp (int)d.step1(), a_rows, b_cols, a_cols, cn, alpha, beta ); cn 2577 modules/ts/src/ts_func.cpp mean_(const _Tp* src, const uchar* mask, size_t total, int cn, Scalar& sum, int& nz) cn 2582 modules/ts/src/ts_func.cpp total *= cn; cn 2583 modules/ts/src/ts_func.cpp for( size_t i = 0; i < total; i += cn ) cn 2585 modules/ts/src/ts_func.cpp for( int c = 0; c < cn; c++ ) cn 2595 modules/ts/src/ts_func.cpp for( int c = 0; c < cn; c++ ) cn 2596 modules/ts/src/ts_func.cpp sum[c] += src[i*cn + c]; cn 2613 modules/ts/src/ts_func.cpp int depth = src.depth(), cn = src.channels(); cn 2623 modules/ts/src/ts_func.cpp mean_((const uchar*)sptr, mptr, total, cn, sum, nz); cn 2626 modules/ts/src/ts_func.cpp mean_((const schar*)sptr, mptr, total, cn, sum, nz); cn 2629 modules/ts/src/ts_func.cpp mean_((const ushort*)sptr, mptr, total, cn, sum, nz); cn 2632 modules/ts/src/ts_func.cpp mean_((const short*)sptr, mptr, total, cn, sum, nz); cn 2635 modules/ts/src/ts_func.cpp mean_((const int*)sptr, mptr, total, cn, sum, nz); cn 2638 modules/ts/src/ts_func.cpp mean_((const float*)sptr, mptr, total, cn, sum, nz); cn 2641 modules/ts/src/ts_func.cpp mean_((const double*)sptr, mptr, total, cn, sum, nz); cn 2900 modules/ts/src/ts_func.cpp int i, depth = m.m->depth(), cn = m.m->channels(), width = m.m->cols*cn; cn 300 modules/ts/src/ts_perf.cpp double Regression::getElem(cv::Mat& m, int y, int x, int cn) cn 304 modules/ts/src/ts_perf.cpp case CV_8U: return *(m.ptr<unsigned char>(y, x) + cn); cn 305 modules/ts/src/ts_perf.cpp case CV_8S: return *(m.ptr<signed char>(y, x) + cn); cn 306 modules/ts/src/ts_perf.cpp case CV_16U: return *(m.ptr<unsigned short>(y, x) + cn); cn 307 modules/ts/src/ts_perf.cpp case CV_16S: return *(m.ptr<signed short>(y, x) + cn); cn 308 modules/ts/src/ts_perf.cpp case CV_32S: return *(m.ptr<signed int>(y, x) + cn); cn 309 modules/ts/src/ts_perf.cpp case CV_32F: return *(m.ptr<float>(y, x) + cn); cn 310 modules/ts/src/ts_perf.cpp case CV_64F: return *(m.ptr<double>(y, x) + cn); cn 326 modules/ts/src/ts_perf.cpp int x, y, cn; cn 329 modules/ts/src/ts_perf.cpp cn = regRNG.uniform(0, m.channels()); cn 331 modules/ts/src/ts_perf.cpp if(cn > 0) write() << "cn" << cn; cn 332 modules/ts/src/ts_perf.cpp write() << "val" << getElem(m, y, x, cn) << "}"; cn 336 modules/ts/src/ts_perf.cpp cn = regRNG.uniform(0, m.channels()); cn 338 modules/ts/src/ts_perf.cpp if (cn > 0) write() << "cn" << cn; cn 339 modules/ts/src/ts_perf.cpp write() << "val" << getElem(m, y, x, cn) << "}"; cn 37 modules/video/perf/opencl/perf_bgfg_mog2.cpp static void prepareData(VideoCapture& cap, int cn, vector<Mat>& frame_buffer) cn 49 modules/video/perf/opencl/perf_bgfg_mog2.cpp if(cn == 1) cn 61 modules/video/perf/opencl/perf_bgfg_mog2.cpp const int cn = get<1>(params); cn 68 modules/video/perf/opencl/perf_bgfg_mog2.cpp prepareData(cap, cn, frame_buffer); cn 91 modules/video/perf/opencl/perf_bgfg_mog2.cpp const int cn = get<1>(params); cn 98 modules/video/perf/opencl/perf_bgfg_mog2.cpp prepareData(cap, cn, frame_buffer); cn 47 modules/video/perf/perf_optflowpyrlk.cpp int cn = get<2>(GetParam()); cn 58 modules/video/perf/perf_optflowpyrlk.cpp switch(cn) cn 61 modules/video/perf/perf_optflowpyrlk.cpp cvtColor(img1, frame1, COLOR_BGR2GRAY, cn); cn 62 modules/video/perf/perf_optflowpyrlk.cpp cvtColor(img2, frame2, COLOR_BGR2GRAY, cn); cn 69 modules/video/perf/perf_optflowpyrlk.cpp cvtColor(img1, frame1, COLOR_BGR2BGRA, cn); cn 70 modules/video/perf/perf_optflowpyrlk.cpp cvtColor(img2, frame2, COLOR_BGR2BGRA, cn); cn 73 modules/video/perf/perf_optflowpyrlk.cpp FAIL() << "Unexpected number of channels: " << cn; cn 120 modules/video/perf/perf_optflowpyrlk.cpp int cn = get<2>(GetParam()); cn 132 modules/video/perf/perf_optflowpyrlk.cpp switch(cn) cn 135 modules/video/perf/perf_optflowpyrlk.cpp cvtColor(img1, frame1, COLOR_BGR2GRAY, cn); cn 136 modules/video/perf/perf_optflowpyrlk.cpp cvtColor(img2, frame2, COLOR_BGR2GRAY, cn); cn 143 modules/video/perf/perf_optflowpyrlk.cpp cvtColor(img1, frame1, COLOR_BGR2BGRA, cn); cn 144 modules/video/perf/perf_optflowpyrlk.cpp cvtColor(img2, frame2, COLOR_BGR2BGRA, cn); cn 147 modules/video/perf/perf_optflowpyrlk.cpp FAIL() << "Unexpected number of channels: " << cn; cn 47 modules/video/src/camshift.cpp int cn; cn 53 modules/video/src/camshift.cpp umat = _probImage.getUMat(), cn = umat.channels(), size = umat.size(); cn 55 modules/video/src/camshift.cpp mat = _probImage.getMat(), cn = mat.channels(), size = mat.size(); cn 59 modules/video/src/camshift.cpp CV_Assert( cn == 1 ); cn 56 modules/video/src/lkpyramid.cpp int rows = src.rows, cols = src.cols, cn = src.channels(), colsn = cols*cn, depth = src.depth(); cn 58 modules/video/src/lkpyramid.cpp dst.create(rows, cols, CV_MAKETYPE(DataType<deriv_type>::depth, cn*2)); cn 65 modules/video/src/lkpyramid.cpp int x, y, delta = (int)alignSize((cols + 2)*cn, 16); cn 67 modules/video/src/lkpyramid.cpp deriv_type *trow0 = alignPtr(_tempBuf + cn, 16), *trow1 = alignPtr(trow0 + delta, 16); cn 129 modules/video/src/lkpyramid.cpp int x0 = (cols > 1 ? 1 : 0)*cn, x1 = (cols > 1 ? cols-2 : 0)*cn; cn 130 modules/video/src/lkpyramid.cpp for( int k = 0; k < cn; k++ ) cn 132 modules/video/src/lkpyramid.cpp trow0[-cn + k] = trow0[x0 + k]; trow0[colsn + k] = trow0[x1 + k]; cn 133 modules/video/src/lkpyramid.cpp trow1[-cn + k] = trow1[x0 + k]; trow1[colsn + k] = trow1[x1 + k]; cn 141 modules/video/src/lkpyramid.cpp __m128i s0 = _mm_loadu_si128((const __m128i*)(trow0 + x - cn)); cn 142 modules/video/src/lkpyramid.cpp __m128i s1 = _mm_loadu_si128((const __m128i*)(trow0 + x + cn)); cn 143 modules/video/src/lkpyramid.cpp __m128i s2 = _mm_loadu_si128((const __m128i*)(trow1 + x - cn)); cn 145 modules/video/src/lkpyramid.cpp __m128i s4 = _mm_loadu_si128((const __m128i*)(trow1 + x + cn)); cn 161 modules/video/src/lkpyramid.cpp int16x8_t q0 = vld1q_s16((const int16_t*)&trow0[x+cn]); cn 162 modules/video/src/lkpyramid.cpp int16x8_t q1 = vld1q_s16((const int16_t*)&trow0[x-cn]); cn 163 modules/video/src/lkpyramid.cpp int16x8_t q2 = vld1q_s16((const int16_t*)&trow1[x+cn]); cn 164 modules/video/src/lkpyramid.cpp int16x8_t q3 = vld1q_s16((const int16_t*)&trow1[x-cn]); cn 185 modules/video/src/lkpyramid.cpp deriv_type t0 = (deriv_type)(trow0[x+cn] - trow0[x-cn]); cn 186 modules/video/src/lkpyramid.cpp deriv_type t1 = (deriv_type)((trow1[x+cn] + trow1[x-cn])*3 + trow1[x]*10); cn 231 modules/video/src/lkpyramid.cpp int j, cn = I.channels(), cn2 = cn*2; cn 232 modules/video/src/lkpyramid.cpp cv::AutoBuffer<deriv_type> _buf(winSize.area()*(cn + cn2)); cn 235 modules/video/src/lkpyramid.cpp Mat IWinBuf(winSize, CV_MAKETYPE(derivDepth, cn), (deriv_type*)_buf); cn 236 modules/video/src/lkpyramid.cpp Mat derivIWinBuf(winSize, CV_MAKETYPE(derivDepth, cn2), (deriv_type*)_buf + winSize.area()*cn); cn 314 modules/video/src/lkpyramid.cpp const uchar* src = I.ptr() + (y + iprevPt.y)*stepI + iprevPt.x*cn; cn 323 modules/video/src/lkpyramid.cpp for( ; x <= winSize.width*cn - 4; x += 4, dsrc += 4*2, dIptr += 4*2 ) cn 328 modules/video/src/lkpyramid.cpp v01 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(const int*)(src + x + cn)), z); cn 330 modules/video/src/lkpyramid.cpp v11 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(const int*)(src + x + stepI + cn)), z); cn 364 modules/video/src/lkpyramid.cpp for( ; x <= winSize.width*cn - 4; x += 4, dsrc += 4*2, dIptr += 4*2 ) cn 368 modules/video/src/lkpyramid.cpp uint8x8_t d2 = vld1_u8(&src[x+cn]); cn 376 modules/video/src/lkpyramid.cpp uint8x8_t d6 = vld1_u8(&src[x + stepI + cn]); cn 447 modules/video/src/lkpyramid.cpp for( ; x < winSize.width*cn; x++, dsrc += 2, dIptr += 2 ) cn 449 modules/video/src/lkpyramid.cpp int ival = CV_DESCALE(src[x]*iw00 + src[x+cn]*iw01 + cn 450 modules/video/src/lkpyramid.cpp src[x+stepI]*iw10 + src[x+stepI+cn]*iw11, W_BITS1-5); cn 544 modules/video/src/lkpyramid.cpp const uchar* Jptr = J.ptr() + (y + inextPt.y)*stepJ + inextPt.x*cn; cn 551 modules/video/src/lkpyramid.cpp for( ; x <= winSize.width*cn - 8; x += 8, dIptr += 8*2 ) cn 555 modules/video/src/lkpyramid.cpp __m128i v01 = _mm_unpacklo_epi8(_mm_loadl_epi64((const __m128i*)(Jptr + x + cn)), z); cn 557 modules/video/src/lkpyramid.cpp __m128i v11 = _mm_unpacklo_epi8(_mm_loadl_epi64((const __m128i*)(Jptr + x + stepJ + cn)), z); cn 586 modules/video/src/lkpyramid.cpp for( ; x <= winSize.width*cn - 8; x += 8, dIptr += 8*2 ) cn 590 modules/video/src/lkpyramid.cpp uint8x8_t d2 = vld1_u8(&Jptr[x+cn]); cn 592 modules/video/src/lkpyramid.cpp uint8x8_t d6 = vld1_u8(&Jptr[x+stepJ+cn]); cn 657 modules/video/src/lkpyramid.cpp for( ; x < winSize.width*cn; x++, dIptr += 2 ) cn 659 modules/video/src/lkpyramid.cpp int diff = CV_DESCALE(Jptr[x]*iw00 + Jptr[x+cn]*iw01 + cn 660 modules/video/src/lkpyramid.cpp Jptr[x+stepJ]*iw10 + Jptr[x+stepJ+cn]*iw11, cn 728 modules/video/src/lkpyramid.cpp const uchar* Jptr = J.ptr() + (y + inextPoint.y)*stepJ + inextPoint.x*cn; cn 731 modules/video/src/lkpyramid.cpp for( x = 0; x < winSize.width*cn; x++ ) cn 733 modules/video/src/lkpyramid.cpp int diff = CV_DESCALE(Jptr[x]*iw00 + Jptr[x+cn]*iw01 + cn 734 modules/video/src/lkpyramid.cpp Jptr[x+stepJ]*iw10 + Jptr[x+stepJ+cn]*iw11, cn 739 modules/video/src/lkpyramid.cpp err[ptidx] = errval * 1.f/(32*winSize.width*cn*winSize.height); cn 1385 modules/video/src/lkpyramid.cpp int cn = A.channels(); cn 1386 modules/video/src/lkpyramid.cpp CV_Assert( cn == 1 || cn == 3 || cn == 4 ); cn 1397 modules/video/src/lkpyramid.cpp if( !equalSizes || cn != 1 ) cn 1401 modules/video/src/lkpyramid.cpp if( cn != 1 ) cn 75 modules/video/test/test_accum.cpp int depth = cvtest::randInt(rng) % 3, cn = cvtest::randInt(rng) & 1 ? 3 : 1; cn 84 modules/video/test/test_accum.cpp types[INPUT][i] = CV_MAKETYPE(depth,cn); cn 86 modules/video/test/test_accum.cpp types[INPUT_OUTPUT][0] = types[REF_INPUT_OUTPUT][0] = CV_MAKETYPE(accdepth,cn); cn 185 modules/videoio/src/cap_ffmpeg.cpp int step=0, width=0, height=0, cn=0; cn 188 modules/videoio/src/cap_ffmpeg.cpp !icvRetrieveFrame_FFMPEG_p(ffmpegCapture, &data, &step, &width, &height, &cn)) cn 190 modules/videoio/src/cap_ffmpeg.cpp cvInitImageHeader(&frame, cvSize(width, height), 8, cn); cn 41 modules/videoio/src/cap_ffmpeg_api.hpp int* step, int* width, int* height, int* cn); cn 43 modules/videoio/src/cap_ffmpeg_api.hpp int* step, int* width, int* height, int* cn); cn 52 modules/videoio/src/cap_ffmpeg_api.hpp int step, int width, int height, int cn, int origin); cn 60 modules/videoio/src/cap_ffmpeg_api.hpp int* width, int* height, int* cn ); cn 67 modules/videoio/src/cap_ffmpeg_api.hpp int width, int height, int cn, int origin); cn 214 modules/videoio/src/cap_ffmpeg_impl.hpp int cn; cn 233 modules/videoio/src/cap_ffmpeg_impl.hpp bool retrieveFrame(int, unsigned char** data, int* step, int* width, int* height, int* cn); cn 642 modules/videoio/src/cap_ffmpeg_impl.hpp frame.cn = 3; cn 733 modules/videoio/src/cap_ffmpeg_impl.hpp bool CvCapture_FFMPEG::retrieveFrame(int, unsigned char** data, int* step, int* width, int* height, int* cn) cn 778 modules/videoio/src/cap_ffmpeg_impl.hpp *cn = frame.cn; cn 1002 modules/videoio/src/cap_ffmpeg_impl.hpp bool writeFrame( const unsigned char* data, int step, int width, int height, int cn, int origin ); cn 1349 modules/videoio/src/cap_ffmpeg_impl.hpp bool CvVideoWriter_FFMPEG::writeFrame( const unsigned char* data, int step, int width, int height, int cn, int origin ) cn 1371 modules/videoio/src/cap_ffmpeg_impl.hpp temp_image.step = (width*cn + 3) & -4; cn 1374 modules/videoio/src/cap_ffmpeg_impl.hpp temp_image.cn = cn; cn 1378 modules/videoio/src/cap_ffmpeg_impl.hpp memcpy(temp_image.data + y*temp_image.step, data + (height-1-y)*step, width*cn); cn 1383 modules/videoio/src/cap_ffmpeg_impl.hpp if( width*cn != step ) cn 1387 modules/videoio/src/cap_ffmpeg_impl.hpp temp_image.step = width*cn; cn 1390 modules/videoio/src/cap_ffmpeg_impl.hpp temp_image.cn = cn; cn 1406 modules/videoio/src/cap_ffmpeg_impl.hpp if (cn != 3) { cn 1411 modules/videoio/src/cap_ffmpeg_impl.hpp if (cn != 1) { cn 1873 modules/videoio/src/cap_ffmpeg_impl.hpp int cvRetrieveFrame_FFMPEG(CvCapture_FFMPEG* capture, unsigned char** data, int* step, int* width, int* height, int* cn) cn 1875 modules/videoio/src/cap_ffmpeg_impl.hpp return capture->retrieveFrame(0, data, step, width, height, cn); cn 1903 modules/videoio/src/cap_ffmpeg_impl.hpp int width, int height, int cn, int origin) cn 1905 modules/videoio/src/cap_ffmpeg_impl.hpp return writer->writeFrame(data, step, width, height, cn, origin); cn 131 modules/viz/include/opencv2/viz/vizcore.hpp template<typename _Tp, int cn> inline bool isNan(const Vec<_Tp, cn>& v) cn 83 samples/android/camera-calibration/src/org/opencv/samples/cameracalibration/CameraCalibrator.java final int cn = 3; cn 84 samples/android/camera-calibration/src/org/opencv/samples/cameracalibration/CameraCalibrator.java float positions[] = new float[mCornersSize * cn]; cn 87 samples/android/camera-calibration/src/org/opencv/samples/cameracalibration/CameraCalibrator.java for (int j = 0; j < mPatternSize.width * cn; j += cn) { cn 88 samples/android/camera-calibration/src/org/opencv/samples/cameracalibration/CameraCalibrator.java positions[(int) (i * mPatternSize.width * cn + j + 0)] = cn 89 samples/android/camera-calibration/src/org/opencv/samples/cameracalibration/CameraCalibrator.java (2 * (j / cn) + i % 2) * (float) mSquareSize; cn 90 samples/android/camera-calibration/src/org/opencv/samples/cameracalibration/CameraCalibrator.java positions[(int) (i * mPatternSize.width * cn + j + 1)] = cn 92 samples/android/camera-calibration/src/org/opencv/samples/cameracalibration/CameraCalibrator.java positions[(int) (i * mPatternSize.width * cn + j + 2)] = 0; cn 250 samples/cpp/stereo_match.cpp int cn = img1.channels(); cn 252 samples/cpp/stereo_match.cpp sgbm->setP1(8*cn*sgbmWinSize*sgbmWinSize); cn 253 samples/cpp/stereo_match.cpp sgbm->setP2(32*cn*sgbmWinSize*sgbmWinSize);