values 163 3rdparty/libjasper/jpc_enc.c int setins(int numvalues, jpc_flt_t *values, jpc_flt_t value); values 91 3rdparty/libjasper/jpc_util.c int jpc_atoaf(char *s, int *numvalues, double **values) values 134 3rdparty/libjasper/jpc_util.c *values = vs; values 66 3rdparty/libjasper/jpc_util.h int jpc_atoaf(char *s, int *numvalues, double **values); values 870 3rdparty/libpng/pngpriv.h png_const_bytep trans, png_const_color_16p values, int number, values 876 3rdparty/libpng/pngpriv.h png_const_color_16p values, int color_type)); values 94 3rdparty/libwebp/cpu-features/cpu-features.c static __inline__ void x86_cpuid(int func, int values[4]) values 107 3rdparty/libwebp/cpu-features/cpu-features.c values[0] = a; values 108 3rdparty/libwebp/cpu-features/cpu-features.c values[1] = b; values 109 3rdparty/libwebp/cpu-features/cpu-features.c values[2] = c; values 110 3rdparty/libwebp/cpu-features/cpu-features.c values[3] = d; values 879 3rdparty/libwebp/enc/picture.c int values[3] = { 0 }; values 896 3rdparty/libwebp/enc/picture.c values[0] = pic->y[off_y]; values 897 3rdparty/libwebp/enc/picture.c values[1] = pic->u[off_uv]; values 898 3rdparty/libwebp/enc/picture.c values[2] = pic->v[off_uv]; values 901 3rdparty/libwebp/enc/picture.c flatten(pic->y + off_y, values[0], pic->y_stride, SIZE); values 902 3rdparty/libwebp/enc/picture.c flatten(pic->u + off_uv, values[1], pic->uv_stride, SIZE2); values 903 3rdparty/libwebp/enc/picture.c flatten(pic->v + off_uv, values[2], pic->uv_stride, SIZE2); values 672 apps/traincascade/old_ml.hpp float* values, uchar* missing, float* responses, bool get_class_idx=false ); values 998 apps/traincascade/old_ml.hpp virtual void get_vectors( const CvMat* _subsample_idx, float* values, uchar* missing, values 2007 apps/traincascade/old_ml.hpp CvMat* values; values 216 apps/traincascade/old_ml_boost.cpp const float* values = 0; values 218 apps/traincascade/old_ml_boost.cpp data->get_ord_var_data( node, vi, values_buf, sorted_indices_buf, &values, &sorted_indices, sample_indices_buf ); values 267 apps/traincascade/old_ml_boost.cpp const float* values = 0; values 269 apps/traincascade/old_ml_boost.cpp data->get_ord_var_data( node, vi, values_buf, sorted_indices_buf, &values, &sorted_indices, sample_indices_buf ); values 307 apps/traincascade/old_ml_boost.cpp if( values[i] + epsilon < values[i+1] ) values 328 apps/traincascade/old_ml_boost.cpp if( values[i] + epsilon < values[i+1] ) values 346 apps/traincascade/old_ml_boost.cpp split->ord.c = (values[best_i] + values[best_i+1])*0.5f; values 498 apps/traincascade/old_ml_boost.cpp const float* values = 0; values 500 apps/traincascade/old_ml_boost.cpp data->get_ord_var_data( node, vi, values_buf, indices_buf, &values, &indices, sample_indices_buf ); values 526 apps/traincascade/old_ml_boost.cpp if( values[i] + epsilon < values[i+1] ) values 542 apps/traincascade/old_ml_boost.cpp split->ord.c = (values[best_i] + values[best_i+1])*0.5f; values 659 apps/traincascade/old_ml_boost.cpp const float* values = 0; values 661 apps/traincascade/old_ml_boost.cpp data->get_ord_var_data( node, vi, values_buf, indices_buf, &values, &indices, sample_indices_buf ); values 701 apps/traincascade/old_ml_boost.cpp if( LL + RR > best_val && values[i] + epsilon < values[i+1] ) values 710 apps/traincascade/old_ml_boost.cpp if( RL + LR > best_val && values[i] + epsilon < values[i+1] ) values 719 apps/traincascade/old_ml_boost.cpp (values[best_i] + values[best_i+1])*0.5f, best_i, values 851 apps/traincascade/old_ml_boost.cpp const float* values = data->get_ord_responses(node, values_buf, sample_indices_buf); values 857 apps/traincascade/old_ml_boost.cpp double t = values[i]; values 1106 apps/traincascade/old_ml_boost.cpp const CvMat* values = _data->get_values(); values 1113 apps/traincascade/old_ml_boost.cpp CV_CALL( result = train( values, CV_ROW_SAMPLE, response, var_idx, values 1266 apps/traincascade/old_ml_boost.cpp float* values = (float*)cur_buf_pos; values 1267 apps/traincascade/old_ml_boost.cpp cur_buf_pos = (uchar*)(values + data->get_length_subbuf()); values 1275 apps/traincascade/old_ml_boost.cpp data->get_vectors( subsample_mask, values, missing, 0 ); values 1284 apps/traincascade/old_ml_boost.cpp _sample.data.fl = values; values 1286 apps/traincascade/old_ml_boost.cpp values += _sample.cols; values 1833 apps/traincascade/old_ml_boost.cpp const CvMat* values = _data->get_values(); values 1843 apps/traincascade/old_ml_boost.cpp sample_count = (type == CV_TRAIN_ERROR && sample_count == 0) ? values->rows : sample_count; values 1856 apps/traincascade/old_ml_boost.cpp cvGetRow( values, &sample, si ); values 1873 apps/traincascade/old_ml_boost.cpp cvGetRow( values, &sample, si ); values 72 apps/traincascade/old_ml_data.cpp values = missing = var_types = var_idx_mask = response_out = var_idx_out = var_types_out = 0; values 103 apps/traincascade/old_ml_data.cpp cvReleaseMat( &values ); values 247 apps/traincascade/old_ml_data.cpp values = cvCreateMat( seq->total, cols_count, CV_32FC1 ); values 249 apps/traincascade/old_ml_data.cpp var_idx_mask = cvCreateMat( 1, values->cols, CV_8UC1 ); values 257 apps/traincascade/old_ml_data.cpp float* ddata = values->data.fl + cols_count*i; values 278 apps/traincascade/old_ml_data.cpp return values; values 286 apps/traincascade/old_ml_data.cpp if ( !values ) values 369 apps/traincascade/old_ml_data.cpp if ( !values ) values 372 apps/traincascade/old_ml_data.cpp if ( idx >= values->cols) values 389 apps/traincascade/old_ml_data.cpp if ( !values ) values 402 apps/traincascade/old_ml_data.cpp if ( !values ) values 405 apps/traincascade/old_ml_data.cpp var_count = values->cols; values 430 apps/traincascade/old_ml_data.cpp if ( !values ) values 433 apps/traincascade/old_ml_data.cpp var_count = values->cols; values 555 apps/traincascade/old_ml_data.cpp if ( !values ) values 563 apps/traincascade/old_ml_data.cpp if ( avcount == values->cols || (avcount == values->cols-1 && response_idx == values->cols-1) ) values 599 apps/traincascade/old_ml_data.cpp if ( !values ) values 601 apps/traincascade/old_ml_data.cpp var_count = values->cols; values 606 apps/traincascade/old_ml_data.cpp response_out = cvCreateMatHeader( values->rows, 1, CV_32FC1 ); values 608 apps/traincascade/old_ml_data.cpp cvInitMatHeader( response_out, values->rows, 1, CV_32FC1); values 609 apps/traincascade/old_ml_data.cpp cvGetCol( values, response_out, response_idx ); values 623 apps/traincascade/old_ml_data.cpp if ( !values ) values 626 apps/traincascade/old_ml_data.cpp sample_count = values->rows; values 682 apps/traincascade/old_ml_data.cpp if ( !values ) values 694 apps/traincascade/old_ml_data.cpp if ( !values ) values 706 apps/traincascade/old_ml_data.cpp if ( !values ) values 713 apps/traincascade/old_ml_data.cpp if ( train_sample_count > 0 && train_sample_count < values->rows ) values 715 apps/traincascade/old_ml_data.cpp int n = values->rows; values 733 apps/traincascade/old_ml_data.cpp if ( !values ) values 741 apps/traincascade/old_ml_data.cpp if ( avcount == values->cols ) values 778 apps/traincascade/old_ml_data.cpp if ( !values ) values 781 apps/traincascade/old_ml_data.cpp var_count = values->cols; values 900 apps/traincascade/old_ml_tree.cpp float* values, uchar* missing, values 944 apps/traincascade/old_ml_tree.cpp float* dst = values + vi; values 962 apps/traincascade/old_ml_tree.cpp float* dst = values + vi; values 1615 apps/traincascade/old_ml_tree.cpp const CvMat* values = _data->get_values(); values 1622 apps/traincascade/old_ml_tree.cpp CV_CALL( result = train( values, CV_ROW_SAMPLE, response, var_idx, values 1990 apps/traincascade/old_ml_tree.cpp const float* values = 0; values 1992 apps/traincascade/old_ml_tree.cpp data->get_ord_var_data( node, vi, values_buf, sorted_indices_buf, &values, values 2034 apps/traincascade/old_ml_tree.cpp if( values[i] + epsilon < values[i+1] ) values 2066 apps/traincascade/old_ml_tree.cpp if( values[i] + epsilon < values[i+1] ) values 2083 apps/traincascade/old_ml_tree.cpp split->ord.c = (values[best_i] + values[best_i+1])*0.5f; values 2390 apps/traincascade/old_ml_tree.cpp const float* values = 0; values 2392 apps/traincascade/old_ml_tree.cpp data->get_ord_var_data( node, vi, values_buf, sorted_indices_buf, &values, &sorted_indices, sample_indices_buf ); values 2412 apps/traincascade/old_ml_tree.cpp if( values[i] + epsilon < values[i+1] ) values 2428 apps/traincascade/old_ml_tree.cpp split->ord.c = (values[best_i] + values[best_i+1])*0.5f; values 2541 apps/traincascade/old_ml_tree.cpp const float* values = 0; values 2543 apps/traincascade/old_ml_tree.cpp data->get_ord_var_data( node, vi, values_buf, sorted_indices_buf, &values, &sorted_indices, sample_indices_buf ); values 2577 apps/traincascade/old_ml_tree.cpp if( LL + RR > _best_val && values[i] + epsilon < values[i+1] ) values 2586 apps/traincascade/old_ml_tree.cpp if( RL + LR > _best_val && values[i] + epsilon < values[i+1] ) values 2629 apps/traincascade/old_ml_tree.cpp if( LL + RR > best_val && values[i] + epsilon < values[i+1] ) values 2638 apps/traincascade/old_ml_tree.cpp if( RL + LR > best_val && values[i] + epsilon < values[i+1] ) values 2647 apps/traincascade/old_ml_tree.cpp (values[best_i] + values[best_i+1])*0.5f, best_i, best_inversed, (float)best_val ) : 0; values 2885 apps/traincascade/old_ml_tree.cpp const float* values = data->get_ord_responses(node, values_buf, sample_indices_buf); values 2893 apps/traincascade/old_ml_tree.cpp double t = values[i]; values 2913 apps/traincascade/old_ml_tree.cpp double t = values[i]; values 2986 apps/traincascade/old_ml_tree.cpp const float* values = 0; values 2988 apps/traincascade/old_ml_tree.cpp data->get_ord_var_data( node, vi, values_buf, sorted_indices_buf, &values, &sorted_indices, sample_indices_buf ); values 3320 apps/traincascade/old_ml_tree.cpp const CvMat* values = _data->get_values(); values 3330 apps/traincascade/old_ml_tree.cpp sample_count = (type == CV_TRAIN_ERROR && sample_count == 0) ? values->rows : sample_count; values 3344 apps/traincascade/old_ml_tree.cpp cvGetRow( values, &sample, si ); values 3361 apps/traincascade/old_ml_tree.cpp cvGetRow( values, &sample, si ); values 322 modules/core/include/opencv2/core/matx.hpp explicit Vec(const _Tp* values); values 594 modules/core/include/opencv2/core/matx.hpp Matx<_Tp, m, n>::Matx(const _Tp* values) values 596 modules/core/include/opencv2/core/matx.hpp for( int i = 0; i < channels; i++ ) val[i] = values[i]; values 925 modules/core/include/opencv2/core/matx.hpp Vec<_Tp, cn>::Vec(const _Tp* values) values 926 modules/core/include/opencv2/core/matx.hpp : Matx<_Tp, cn, 1>(values) {} values 358 modules/core/include/opencv2/core/types_c.h int *values; values 369 modules/core/include/opencv2/core/types_c.h float *values; values 5302 modules/core/src/arithm.cpp uint8x16_t values = vld1q_u8(src1 + x); values 5306 modules/core/src/arithm.cpp vst1q_u8(dst + x, vandq_u8(vcgeq_u8(values, low), vcgeq_u8(high, values))); values 5322 modules/core/src/arithm.cpp int8x16_t values = vld1q_s8(src1 + x); values 5326 modules/core/src/arithm.cpp vst1q_u8(dst + x, vandq_u8(vcgeq_s8(values, low), vcgeq_s8(high, values))); values 5342 modules/core/src/arithm.cpp uint16x8_t values = vld1q_u16((const uint16_t*)(src1 + x)); values 5345 modules/core/src/arithm.cpp uint8x8_t r1 = vmovn_u16(vandq_u16(vcgeq_u16(values, low), vcgeq_u16(high, values))); values 5347 modules/core/src/arithm.cpp values = vld1q_u16((const uint16_t*)(src1 + x + 8)); values 5350 modules/core/src/arithm.cpp uint8x8_t r2 = vmovn_u16(vandq_u16(vcgeq_u16(values, low), vcgeq_u16(high, values))); values 5368 modules/core/src/arithm.cpp int16x8_t values = vld1q_s16((const int16_t*)(src1 + x)); values 5371 modules/core/src/arithm.cpp uint8x8_t r1 = vmovn_u16(vandq_u16(vcgeq_s16(values, low), vcgeq_s16(high, values))); values 5373 modules/core/src/arithm.cpp values = vld1q_s16((const int16_t*)(src1 + x + 8)); values 5376 modules/core/src/arithm.cpp uint8x8_t r2 = vmovn_u16(vandq_u16(vcgeq_s16(values, low), vcgeq_s16(high, values))); values 5394 modules/core/src/arithm.cpp int32x4_t values = vld1q_s32((const int32_t*)(src1 + x)); values 5398 modules/core/src/arithm.cpp uint16x4_t r1 = vmovn_u32(vandq_u32(vcgeq_s32(values, low), vcgeq_s32(high, values))); values 5400 modules/core/src/arithm.cpp values = vld1q_s32((const int32_t*)(src1 + x + 4)); values 5404 modules/core/src/arithm.cpp uint16x4_t r2 = vmovn_u32(vandq_u32(vcgeq_s32(values, low), vcgeq_s32(high, values))); values 5424 modules/core/src/arithm.cpp float32x4_t values = vld1q_f32((const float32_t*)(src1 + x)); values 5428 modules/core/src/arithm.cpp uint16x4_t r1 = vmovn_u32(vandq_u32(vcgeq_f32(values, low), vcgeq_f32(high, values))); values 5430 modules/core/src/arithm.cpp values = vld1q_f32((const float32_t*)(src1 + x + 4)); values 5434 modules/core/src/arithm.cpp uint16x4_t r2 = vmovn_u32(vandq_u32(vcgeq_f32(values, low), vcgeq_f32(high, values))); values 652 modules/features2d/src/kaze/AKAZEFeatures.cpp void MLDB_Fill_Values(float* values, int sample_step, int level, values 654 modules/features2d/src/kaze/AKAZEFeatures.cpp void MLDB_Binary_Comparisons(float* values, unsigned char* desc, values 1314 modules/features2d/src/kaze/AKAZEFeatures.cpp void MLDB_Full_Descriptor_Invoker::MLDB_Fill_Values(float* values, int sample_step, int level, values 1359 modules/features2d/src/kaze/AKAZEFeatures.cpp values[valpos] = di; values 1361 modules/features2d/src/kaze/AKAZEFeatures.cpp values[valpos + 1] = dx; values 1364 modules/features2d/src/kaze/AKAZEFeatures.cpp values[valpos + 2] = dy; values 1371 modules/features2d/src/kaze/AKAZEFeatures.cpp void MLDB_Full_Descriptor_Invoker::MLDB_Binary_Comparisons(float* values, unsigned char* desc, values 1374 modules/features2d/src/kaze/AKAZEFeatures.cpp int* ivalues = (int*) values; values 1402 modules/features2d/src/kaze/AKAZEFeatures.cpp float values[16*max_channels]; values 1418 modules/features2d/src/kaze/AKAZEFeatures.cpp MLDB_Fill_Values(values, sample_step, kpt.class_id, xf, yf, co, si, scale); values 1419 modules/features2d/src/kaze/AKAZEFeatures.cpp MLDB_Binary_Comparisons(values, desc, val_count, dpos); values 1452 modules/features2d/src/kaze/AKAZEFeatures.cpp Mat values = Mat_<float>::zeros((4 + 9 + 16)*options.descriptor_channels, 1); values 1495 modules/features2d/src/kaze/AKAZEFeatures.cpp *(values.ptr<float>(options.descriptor_channels*i)) = di; values 1498 modules/features2d/src/kaze/AKAZEFeatures.cpp *(values.ptr<float>(options.descriptor_channels*i + 1)) = dx; values 1501 modules/features2d/src/kaze/AKAZEFeatures.cpp *(values.ptr<float>(options.descriptor_channels*i + 1)) = dx; values 1502 modules/features2d/src/kaze/AKAZEFeatures.cpp *(values.ptr<float>(options.descriptor_channels*i + 2)) = dy; values 1507 modules/features2d/src/kaze/AKAZEFeatures.cpp const float *vals = values.ptr<float>(0); values 1543 modules/features2d/src/kaze/AKAZEFeatures.cpp Mat values = Mat_<float>::zeros((4 + 9 + 16)*options.descriptor_channels, 1); values 1581 modules/features2d/src/kaze/AKAZEFeatures.cpp *(values.ptr<float>(options.descriptor_channels*i)) = di; values 1584 modules/features2d/src/kaze/AKAZEFeatures.cpp *(values.ptr<float>(options.descriptor_channels*i + 1)) = dx; values 1587 modules/features2d/src/kaze/AKAZEFeatures.cpp *(values.ptr<float>(options.descriptor_channels*i + 1)) = dx; values 1588 modules/features2d/src/kaze/AKAZEFeatures.cpp *(values.ptr<float>(options.descriptor_channels*i + 2)) = dy; values 1593 modules/features2d/src/kaze/AKAZEFeatures.cpp const float *vals = values.ptr<float>(0); values 326 modules/imgproc/include/opencv2/imgproc/imgproc_c.h int shape, int* values CV_DEFAULT(NULL) ); values 73 modules/imgproc/src/imgwarp.cpp Type values[channels]; values 75 modules/imgproc/src/imgwarp.cpp values[i] = saturate_cast<Type>(value[i]); values 76 modules/imgproc/src/imgwarp.cpp return func(values, dataPointer, step, size) >= 0; values 1888 modules/imgproc/src/morph.cpp int shape, int *values ) values 1893 modules/imgproc/src/morph.cpp (shape != CV_SHAPE_CUSTOM || values != 0)); values 1904 modules/imgproc/src/morph.cpp element->values = (int*)(element + 1); values 1909 modules/imgproc/src/morph.cpp element->values[i] = values[i]; values 1915 modules/imgproc/src/morph.cpp element->values[i] = elem.ptr()[i]; values 1944 modules/imgproc/src/morph.cpp dst.ptr()[i] = (uchar)(src->values[i] != 0); values 258 modules/imgproc/test/test_filter.cpp Mat _ielement(element->nRows, element->nCols, CV_32S, element->values); values 328 modules/imgproc/test/test_histograms.cpp CvMat* values; values 338 modules/imgproc/test/test_histograms.cpp values = 0; values 352 modules/imgproc/test/test_histograms.cpp cvReleaseMat( &values ); values 381 modules/imgproc/test/test_histograms.cpp values = cvCreateMat( 1, iters, CV_32F ); values 435 modules/imgproc/test/test_histograms.cpp int i, iters = values->cols; values 438 modules/imgproc/test/test_histograms.cpp float* val = values->data.fl; values 541 modules/imgproc/test/test_histograms.cpp int i, j, iters = values->cols; values 545 modules/imgproc/test/test_histograms.cpp float v = values->data.fl[i], v0 = values0->data.fl[i]; values 801 modules/imgproc/test/test_histograms.cpp CvMat* values; values 814 modules/imgproc/test/test_histograms.cpp indices = values = 0; values 827 modules/imgproc/test/test_histograms.cpp cvReleaseMat( &values ); values 845 modules/imgproc/test/test_histograms.cpp values = cvCreateMat( 1, total_size, CV_32F ); values 846 modules/imgproc/test/test_histograms.cpp memcpy( values->data.fl, cvPtr1D( hist[0]->bins, 0 ), total_size*sizeof(float) ); values 857 modules/imgproc/test/test_histograms.cpp values = cvCreateMat( 1, orig_nz_count+1, CV_32F ); values 867 modules/imgproc/test/test_histograms.cpp values->data.fl[i] = *(float*)CV_NODE_VAL(sparse,node); values 891 modules/imgproc/test/test_histograms.cpp float* ptr0 = values->data.fl; values 1774 modules/java/generator/src/cpp/Mat.cpp double* values = (double*)env->GetPrimitiveArrayCritical(vals, 0); values 1775 modules/java/generator/src/cpp/Mat.cpp double* src = values; values 1804 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 1865 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 1866 modules/java/generator/src/cpp/Mat.cpp int res = mat_put<char>(me, row, col, count, values); values 1867 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 1892 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 1893 modules/java/generator/src/cpp/Mat.cpp int res = mat_put<short>(me, row, col, count, values); values 1894 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 1919 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 1920 modules/java/generator/src/cpp/Mat.cpp int res = mat_put<int>(me, row, col, count, values); values 1921 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 1946 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 1947 modules/java/generator/src/cpp/Mat.cpp int res = mat_put<float>(me, row, col, count, values); values 1948 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 2008 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 2009 modules/java/generator/src/cpp/Mat.cpp int res = mat_get<char>(me, row, col, count, values); values 2010 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 2035 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 2036 modules/java/generator/src/cpp/Mat.cpp int res = mat_get<short>(me, row, col, count, values); values 2037 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 2062 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 2063 modules/java/generator/src/cpp/Mat.cpp int res = mat_get<int>(me, row, col, count, values); values 2064 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 2089 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 2090 modules/java/generator/src/cpp/Mat.cpp int res = mat_get<float>(me, row, col, count, values); values 2091 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 2116 modules/java/generator/src/cpp/Mat.cpp char* values = (char*)env->GetPrimitiveArrayCritical(vals, 0); values 2117 modules/java/generator/src/cpp/Mat.cpp int res = mat_get<double>(me, row, col, count, values); values 2118 modules/java/generator/src/cpp/Mat.cpp env->ReleasePrimitiveArrayCritical(vals, values, 0); values 196 modules/ml/include/opencv2/ml.hpp CV_WRAP virtual void getValues(int vi, InputArray sidx, float* values) const = 0; values 197 modules/ml/include/opencv2/ml.hpp virtual void getNormCatValues(int vi, InputArray sidx, int* values) const = 0; values 861 modules/ml/src/data.cpp void getValues( int vi, InputArray _sidx, float* values ) const values 885 modules/ml/src/data.cpp values[i] = src[j*sstep]; values 886 modules/ml/src/data.cpp if( values[i] == MISSED_VAL ) values 887 modules/ml/src/data.cpp values[i] = subst; values 891 modules/ml/src/data.cpp void getNormCatValues( int vi, InputArray _sidx, int* values ) const values 893 modules/ml/src/data.cpp float* fvalues = (float*)values; values 910 modules/ml/src/data.cpp values[i] = idx; values 932 modules/ml/src/data.cpp values[i] = c; values 651 modules/ml/src/tree.cpp float* values = (float*)(rcw + m); values 652 modules/ml/src/tree.cpp int* sorted_idx = (int*)(values + n); values 659 modules/ml/src/tree.cpp w->data->getValues( vi, _sidx, values ); values 668 modules/ml/src/tree.cpp std::sort(sorted_idx, sorted_idx + n, cmp_lt_idx<float>(values)); values 691 modules/ml/src/tree.cpp if( values[curr] + epsilon < values[next] ) values 706 modules/ml/src/tree.cpp split.c = (values[sorted_idx[best_i]] + values[sorted_idx[best_i+1]])*0.5f; values 994 modules/ml/src/tree.cpp float* values = (float*)(uchar*)buf; values 995 modules/ml/src/tree.cpp int* sorted_idx = (int*)(values + n); values 996 modules/ml/src/tree.cpp w->data->getValues(vi, _sidx, values); values 1011 modules/ml/src/tree.cpp std::sort(sorted_idx, sorted_idx + n, cmp_lt_idx<float>(values)); values 1024 modules/ml/src/tree.cpp if( values[curr] + epsilon < values[next] ) values 1039 modules/ml/src/tree.cpp split.c = (values[sorted_idx[best_i]] + values[sorted_idx[best_i+1]])*0.5f; values 1150 modules/ml/src/tree.cpp float* values = buf; values 1151 modules/ml/src/tree.cpp w->data->getValues(vi, _sidx, values); values 1156 modules/ml/src/tree.cpp if( values[i] <= c ) values 90 modules/ml/test/test_mltests2.cpp Mat values = _data->getSamples(); values 93 modules/ml/test/test_mltests2.cpp if( nvars != 0 && nvars != values.cols ) values 101 modules/ts/include/opencv2/ts/cuda_test.hpp #define ALL_DEVICES testing::ValuesIn(cvtest::DeviceManager::instance().values()) values 17361 modules/ts/include/opencv2/ts/ts_gtest.h typename TestFixture::List values; values 17362 modules/ts/include/opencv2/ts/ts_gtest.h values.push_back(n);