TheTest & test_mask() { Data<R> dataA, dataB, dataC, dataD(1), dataE(2); dataA[1] *= (LaneType)-1; dataC *= (LaneType)-1; R a = dataA, b = dataB, c = dataC, d = dataD, e = dataE; int m = v_signmask(a); EXPECT_EQ(2, m); EXPECT_EQ(false, v_check_all(a)); EXPECT_EQ(false, v_check_all(b)); EXPECT_EQ(true, v_check_all(c)); EXPECT_EQ(true, v_check_any(a)); EXPECT_EQ(false, v_check_any(b)); EXPECT_EQ(true, v_check_any(c)); typedef V_TypeTraits<LaneType> Traits; typedef typename Traits::int_type int_type; R f = v_select(b, d, e); Data<R> resF = f; for (int i = 0; i < R::nlanes; ++i) { int_type m2 = Traits::reinterpret_int(dataB[i]); EXPECT_EQ((Traits::reinterpret_int(dataD[i]) & m2) | (Traits::reinterpret_int(dataE[i]) & ~m2), Traits::reinterpret_int(resF[i])); } return *this; }
void spatialGradient( InputArray _src, OutputArray _dx, OutputArray _dy, int ksize, int borderType ) { CV_INSTRUMENT_REGION() // Prepare InputArray src Mat src = _src.getMat(); CV_Assert( !src.empty() ); CV_Assert( src.type() == CV_8UC1 ); CV_Assert( borderType == BORDER_DEFAULT || borderType == BORDER_REPLICATE ); // Prepare OutputArrays dx, dy _dx.create( src.size(), CV_16SC1 ); _dy.create( src.size(), CV_16SC1 ); Mat dx = _dx.getMat(), dy = _dy.getMat(); // TODO: Allow for other kernel sizes CV_Assert(ksize == 3); // Get dimensions const int H = src.rows, W = src.cols; // Row, column indices int i = 0, j = 0; // Handle border types int i_top = 0, // Case for H == 1 && W == 1 && BORDER_REPLICATE i_bottom = H - 1, j_offl = 0, // j offset from 0th pixel to reach -1st pixel j_offr = 0; // j offset from W-1th pixel to reach Wth pixel if ( borderType == BORDER_DEFAULT ) // Equiv. to BORDER_REFLECT_101 { if ( H > 1 ) { i_top = 1; i_bottom = H - 2; } if ( W > 1 ) { j_offl = 1; j_offr = -1; } } // Pointer to row vectors uchar *p_src, *c_src, *n_src; // previous, current, next row short *c_dx, *c_dy; int i_start = 0; int j_start = 0; #if CV_SIMD128 && CV_SSE2 if(hasSIMD128()) { uchar *m_src; short *n_dx, *n_dy; // Characters in variable names have the following meanings: // u: unsigned char // s: signed int // // [row][column] // m: offset -1 // n: offset 0 // p: offset 1 // Example: umn is offset -1 in row and offset 0 in column for ( i = 0; i < H - 1; i += 2 ) { if ( i == 0 ) p_src = src.ptr<uchar>(i_top); else p_src = src.ptr<uchar>(i-1); c_src = src.ptr<uchar>(i); n_src = src.ptr<uchar>(i+1); if ( i == H - 2 ) m_src = src.ptr<uchar>(i_bottom); else m_src = src.ptr<uchar>(i+2); c_dx = dx.ptr<short>(i); c_dy = dy.ptr<short>(i); n_dx = dx.ptr<short>(i+1); n_dy = dy.ptr<short>(i+1); v_uint8x16 v_select_m = v_uint8x16(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0xFF); // Process rest of columns 16-column chunks at a time for ( j = 1; j < W - 16; j += 16 ) { // Load top row for 3x3 Sobel filter v_uint8x16 v_um = v_load(&p_src[j-1]); v_uint8x16 v_up = v_load(&p_src[j+1]); // TODO: Replace _mm_slli_si128 with hal method v_uint8x16 v_un = v_select(v_select_m, v_uint8x16(_mm_slli_si128(v_up.val, 1)), v_uint8x16(_mm_srli_si128(v_um.val, 1))); v_uint16x8 v_um1, v_um2, v_un1, v_un2, v_up1, v_up2; v_expand(v_um, v_um1, v_um2); v_expand(v_un, v_un1, v_un2); v_expand(v_up, v_up1, v_up2); v_int16x8 v_s1m1 = v_reinterpret_as_s16(v_um1); v_int16x8 v_s1m2 = v_reinterpret_as_s16(v_um2); v_int16x8 v_s1n1 = v_reinterpret_as_s16(v_un1); v_int16x8 v_s1n2 = v_reinterpret_as_s16(v_un2); v_int16x8 v_s1p1 = v_reinterpret_as_s16(v_up1); v_int16x8 v_s1p2 = v_reinterpret_as_s16(v_up2); // Load second row for 3x3 Sobel filter v_um = v_load(&c_src[j-1]); v_up = v_load(&c_src[j+1]); // TODO: Replace _mm_slli_si128 with hal method v_un = v_select(v_select_m, v_uint8x16(_mm_slli_si128(v_up.val, 1)), v_uint8x16(_mm_srli_si128(v_um.val, 1))); v_expand(v_um, v_um1, v_um2); v_expand(v_un, v_un1, v_un2); v_expand(v_up, v_up1, v_up2); v_int16x8 v_s2m1 = v_reinterpret_as_s16(v_um1); v_int16x8 v_s2m2 = v_reinterpret_as_s16(v_um2); v_int16x8 v_s2n1 = v_reinterpret_as_s16(v_un1); v_int16x8 v_s2n2 = v_reinterpret_as_s16(v_un2); v_int16x8 v_s2p1 = v_reinterpret_as_s16(v_up1); v_int16x8 v_s2p2 = v_reinterpret_as_s16(v_up2); // Load third row for 3x3 Sobel filter v_um = v_load(&n_src[j-1]); v_up = v_load(&n_src[j+1]); // TODO: Replace _mm_slli_si128 with hal method v_un = v_select(v_select_m, v_uint8x16(_mm_slli_si128(v_up.val, 1)), v_uint8x16(_mm_srli_si128(v_um.val, 1))); v_expand(v_um, v_um1, v_um2); v_expand(v_un, v_un1, v_un2); v_expand(v_up, v_up1, v_up2); v_int16x8 v_s3m1 = v_reinterpret_as_s16(v_um1); v_int16x8 v_s3m2 = v_reinterpret_as_s16(v_um2); v_int16x8 v_s3n1 = v_reinterpret_as_s16(v_un1); v_int16x8 v_s3n2 = v_reinterpret_as_s16(v_un2); v_int16x8 v_s3p1 = v_reinterpret_as_s16(v_up1); v_int16x8 v_s3p2 = v_reinterpret_as_s16(v_up2); // dx & dy for rows 1, 2, 3 v_int16x8 v_sdx1, v_sdy1; spatialGradientKernel<v_int16x8>( v_sdx1, v_sdy1, v_s1m1, v_s1n1, v_s1p1, v_s2m1, v_s2p1, v_s3m1, v_s3n1, v_s3p1 ); v_int16x8 v_sdx2, v_sdy2; spatialGradientKernel<v_int16x8>( v_sdx2, v_sdy2, v_s1m2, v_s1n2, v_s1p2, v_s2m2, v_s2p2, v_s3m2, v_s3n2, v_s3p2 ); // Store v_store(&c_dx[j], v_sdx1); v_store(&c_dx[j+8], v_sdx2); v_store(&c_dy[j], v_sdy1); v_store(&c_dy[j+8], v_sdy2); // Load fourth row for 3x3 Sobel filter v_um = v_load(&m_src[j-1]); v_up = v_load(&m_src[j+1]); // TODO: Replace _mm_slli_si128 with hal method v_un = v_select(v_select_m, v_uint8x16(_mm_slli_si128(v_up.val, 1)), v_uint8x16(_mm_srli_si128(v_um.val, 1))); v_expand(v_um, v_um1, v_um2); v_expand(v_un, v_un1, v_un2); v_expand(v_up, v_up1, v_up2); v_int16x8 v_s4m1 = v_reinterpret_as_s16(v_um1); v_int16x8 v_s4m2 = v_reinterpret_as_s16(v_um2); v_int16x8 v_s4n1 = v_reinterpret_as_s16(v_un1); v_int16x8 v_s4n2 = v_reinterpret_as_s16(v_un2); v_int16x8 v_s4p1 = v_reinterpret_as_s16(v_up1); v_int16x8 v_s4p2 = v_reinterpret_as_s16(v_up2); // dx & dy for rows 2, 3, 4 spatialGradientKernel<v_int16x8>( v_sdx1, v_sdy1, v_s2m1, v_s2n1, v_s2p1, v_s3m1, v_s3p1, v_s4m1, v_s4n1, v_s4p1 ); spatialGradientKernel<v_int16x8>( v_sdx2, v_sdy2, v_s2m2, v_s2n2, v_s2p2, v_s3m2, v_s3p2, v_s4m2, v_s4n2, v_s4p2 ); // Store v_store(&n_dx[j], v_sdx1); v_store(&n_dx[j+8], v_sdx2); v_store(&n_dy[j], v_sdy1); v_store(&n_dy[j+8], v_sdy2); } } } i_start = i; j_start = j; #endif int j_p, j_n; uchar v00, v01, v02, v10, v11, v12, v20, v21, v22; for ( i = 0; i < H; i++ ) { if ( i == 0 ) p_src = src.ptr<uchar>(i_top); else p_src = src.ptr<uchar>(i-1); c_src = src.ptr<uchar>(i); if ( i == H - 1 ) n_src = src.ptr<uchar>(i_bottom); else n_src = src.ptr<uchar>(i+1); c_dx = dx.ptr<short>(i); c_dy = dy.ptr<short>(i); // Process left-most column j = 0; j_p = j + j_offl; j_n = 1; if ( j_n >= W ) j_n = j + j_offr; v00 = p_src[j_p]; v01 = p_src[j]; v02 = p_src[j_n]; v10 = c_src[j_p]; v11 = c_src[j]; v12 = c_src[j_n]; v20 = n_src[j_p]; v21 = n_src[j]; v22 = n_src[j_n]; spatialGradientKernel<short>( c_dx[0], c_dy[0], v00, v01, v02, v10, v12, v20, v21, v22 ); v00 = v01; v10 = v11; v20 = v21; v01 = v02; v11 = v12; v21 = v22; // Process middle columns j = i >= i_start ? 1 : j_start; j_p = j - 1; v00 = p_src[j_p]; v01 = p_src[j]; v10 = c_src[j_p]; v11 = c_src[j]; v20 = n_src[j_p]; v21 = n_src[j]; for ( ; j < W - 1; j++ ) { // Get values for next column j_n = j + 1; v02 = p_src[j_n]; v12 = c_src[j_n]; v22 = n_src[j_n]; spatialGradientKernel<short>( c_dx[j], c_dy[j], v00, v01, v02, v10, v12, v20, v21, v22 ); // Move values back one column for next iteration v00 = v01; v10 = v11; v20 = v21; v01 = v02; v11 = v12; v21 = v22; } // Process right-most column if ( j < W ) { j_n = j + j_offr; v02 = p_src[j_n]; v12 = c_src[j_n]; v22 = n_src[j_n]; spatialGradientKernel<short>( c_dx[j], c_dy[j], v00, v01, v02, v10, v12, v20, v21, v22 ); } } }