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-rw-r--r--third_party/aom/av1/encoder/arm/neon/rdopt_neon.c459
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diff --git a/third_party/aom/av1/encoder/arm/neon/rdopt_neon.c b/third_party/aom/av1/encoder/arm/neon/rdopt_neon.c
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+++ b/third_party/aom/av1/encoder/arm/neon/rdopt_neon.c
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+/*
+ * Copyright (c) 2020, Alliance for Open Media. All rights reserved
+ *
+ * This source code is subject to the terms of the BSD 2 Clause License and
+ * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
+ * was not distributed with this source code in the LICENSE file, you can
+ * obtain it at www.aomedia.org/license/software. If the Alliance for Open
+ * Media Patent License 1.0 was not distributed with this source code in the
+ * PATENTS file, you can obtain it at www.aomedia.org/license/patent.
+ */
+
+#include <assert.h>
+
+#include <arm_neon.h>
+
+#include "av1/encoder/rdopt.h"
+#include "config/aom_config.h"
+#include "config/av1_rtcd.h"
+
+// Process horizontal and vertical correlations in a 4x4 block of pixels.
+// We actually use the 4x4 pixels to calculate correlations corresponding to
+// the top-left 3x3 pixels, so this function must be called with 1x1 overlap,
+// moving the window along/down by 3 pixels at a time.
+INLINE static void horver_correlation_4x4(const int16_t *diff, int stride,
+ int32x4_t *xy_sum_32,
+ int32x4_t *xz_sum_32,
+ int32x4_t *x_sum_32,
+ int32x4_t *x2_sum_32) {
+ // Pixels in this 4x4 [ a b c d ]
+ // are referred to as: [ e f g h ]
+ // [ i j k l ]
+ // [ m n o p ]
+
+ const int16x4_t pixelsa_2_lo = vld1_s16(diff + (0 * stride));
+ const int16x4_t pixelsa_2_sli =
+ vreinterpret_s16_s64(vshl_n_s64(vreinterpret_s64_s16(pixelsa_2_lo), 16));
+ const int16x4_t pixelsb_2_lo = vld1_s16(diff + (1 * stride));
+ const int16x4_t pixelsb_2_sli =
+ vreinterpret_s16_s64(vshl_n_s64(vreinterpret_s64_s16(pixelsb_2_lo), 16));
+ const int16x4_t pixelsa_1_lo = vld1_s16(diff + (2 * stride));
+ const int16x4_t pixelsa_1_sli =
+ vreinterpret_s16_s64(vshl_n_s64(vreinterpret_s64_s16(pixelsa_1_lo), 16));
+ const int16x4_t pixelsb_1_lo = vld1_s16(diff + (3 * stride));
+ const int16x4_t pixelsb_1_sli =
+ vreinterpret_s16_s64(vshl_n_s64(vreinterpret_s64_s16(pixelsb_1_lo), 16));
+
+ const int16x8_t slli_a = vcombine_s16(pixelsa_1_sli, pixelsa_2_sli);
+
+ *xy_sum_32 = vmlal_s16(*xy_sum_32, pixelsa_1_lo, pixelsa_1_sli);
+ *xy_sum_32 = vmlal_s16(*xy_sum_32, pixelsa_2_lo, pixelsa_2_sli);
+ *xy_sum_32 = vmlal_s16(*xy_sum_32, pixelsb_2_lo, pixelsb_2_sli);
+
+ *xz_sum_32 = vmlal_s16(*xz_sum_32, pixelsa_1_sli, pixelsb_1_sli);
+ *xz_sum_32 = vmlal_s16(*xz_sum_32, pixelsa_2_sli, pixelsb_2_sli);
+ *xz_sum_32 = vmlal_s16(*xz_sum_32, pixelsa_1_sli, pixelsb_2_sli);
+
+ // Now calculate the straight sums, x_sum += a+b+c+e+f+g+i+j+k
+ // (sum up every element in slli_a and swap_b)
+ *x_sum_32 = vpadalq_s16(*x_sum_32, slli_a);
+ *x_sum_32 = vaddw_s16(*x_sum_32, pixelsb_2_sli);
+
+ // Also sum their squares
+ *x2_sum_32 = vmlal_s16(*x2_sum_32, pixelsa_1_sli, pixelsa_1_sli);
+ *x2_sum_32 = vmlal_s16(*x2_sum_32, pixelsa_2_sli, pixelsa_2_sli);
+ *x2_sum_32 = vmlal_s16(*x2_sum_32, pixelsb_2_sli, pixelsb_2_sli);
+}
+
+void av1_get_horver_correlation_full_neon(const int16_t *diff, int stride,
+ int width, int height, float *hcorr,
+ float *vcorr) {
+ // The following notation is used:
+ // x - current pixel
+ // y - right neighbour pixel
+ // z - below neighbour pixel
+ // w - down-right neighbour pixel
+ int64_t xy_sum = 0, xz_sum = 0;
+ int64_t x_sum = 0, x2_sum = 0;
+ int32x4_t zero = vdupq_n_s32(0);
+ int64x2_t v_x_sum = vreinterpretq_s64_s32(zero);
+ int64x2_t v_xy_sum = vreinterpretq_s64_s32(zero);
+ int64x2_t v_xz_sum = vreinterpretq_s64_s32(zero);
+ int64x2_t v_x2_sum = vreinterpretq_s64_s32(zero);
+ // Process horizontal and vertical correlations through the body in 4x4
+ // blocks. This excludes the final row and column and possibly one extra
+ // column depending how 3 divides into width and height
+
+ for (int i = 0; i <= height - 4; i += 3) {
+ int32x4_t xy_sum_32 = zero;
+ int32x4_t xz_sum_32 = zero;
+ int32x4_t x_sum_32 = zero;
+ int32x4_t x2_sum_32 = zero;
+ for (int j = 0; j <= width - 4; j += 3) {
+ horver_correlation_4x4(&diff[i * stride + j], stride, &xy_sum_32,
+ &xz_sum_32, &x_sum_32, &x2_sum_32);
+ }
+ v_xy_sum = vpadalq_s32(v_xy_sum, xy_sum_32);
+ v_xz_sum = vpadalq_s32(v_xz_sum, xz_sum_32);
+ v_x_sum = vpadalq_s32(v_x_sum, x_sum_32);
+ v_x2_sum = vpadalq_s32(v_x2_sum, x2_sum_32);
+ }
+#if AOM_ARCH_AARCH64
+ xy_sum = vaddvq_s64(v_xy_sum);
+ xz_sum = vaddvq_s64(v_xz_sum);
+ x2_sum = vaddvq_s64(v_x2_sum);
+ x_sum = vaddvq_s64(v_x_sum);
+#else
+ xy_sum = vget_lane_s64(
+ vadd_s64(vget_low_s64(v_xy_sum), vget_high_s64(v_xy_sum)), 0);
+ xz_sum = vget_lane_s64(
+ vadd_s64(vget_low_s64(v_xz_sum), vget_high_s64(v_xz_sum)), 0);
+ x2_sum = vget_lane_s64(
+ vadd_s64(vget_low_s64(v_x2_sum), vget_high_s64(v_x2_sum)), 0);
+ x_sum =
+ vget_lane_s64(vadd_s64(vget_low_s64(v_x_sum), vget_high_s64(v_x_sum)), 0);
+#endif
+ // x_sum now covers every pixel except the final 1-2 rows and 1-2 cols
+ int64_t x_finalrow = 0, x_finalcol = 0, x2_finalrow = 0, x2_finalcol = 0;
+
+ // Do we have 2 rows remaining or just the one? Note that width and height
+ // are powers of 2, so each modulo 3 must be 1 or 2.
+ if (height % 3 == 1) { // Just horiz corrs on the final row
+ const int16_t x0 = diff[(height - 1) * stride];
+ x_sum += x0;
+ x_finalrow += x0;
+ x2_sum += x0 * x0;
+ x2_finalrow += x0 * x0;
+ if (width >= 8) {
+ int32x4_t v_y_sum = zero;
+ int32x4_t v_y2_sum = zero;
+ int32x4_t v_xy_sum_a = zero;
+ int k = width - 1;
+ int j = 0;
+ while ((k - 8) > 0) {
+ const int16x8_t v_x = vld1q_s16(&diff[(height - 1) * stride + j]);
+ const int16x8_t v_y = vld1q_s16(&diff[(height - 1) * stride + j + 1]);
+ const int16x4_t v_x_lo = vget_low_s16(v_x);
+ const int16x4_t v_x_hi = vget_high_s16(v_x);
+ const int16x4_t v_y_lo = vget_low_s16(v_y);
+ const int16x4_t v_y_hi = vget_high_s16(v_y);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_lo, v_y_lo);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_hi, v_y_hi);
+ v_y2_sum = vmlal_s16(v_y2_sum, v_y_lo, v_y_lo);
+ v_y2_sum = vmlal_s16(v_y2_sum, v_y_hi, v_y_hi);
+ v_y_sum = vpadalq_s16(v_y_sum, v_y);
+ k -= 8;
+ j += 8;
+ }
+
+ const int16x8_t v_l = vld1q_s16(&diff[(height - 1) * stride] + j);
+ const int16x8_t v_x =
+ vextq_s16(vextq_s16(vreinterpretq_s16_s32(zero), v_l, 7),
+ vreinterpretq_s16_s32(zero), 1);
+ const int16x8_t v_y = vextq_s16(v_l, vreinterpretq_s16_s32(zero), 1);
+ const int16x4_t v_x_lo = vget_low_s16(v_x);
+ const int16x4_t v_x_hi = vget_high_s16(v_x);
+ const int16x4_t v_y_lo = vget_low_s16(v_y);
+ const int16x4_t v_y_hi = vget_high_s16(v_y);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_lo, v_y_lo);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_hi, v_y_hi);
+ v_y2_sum = vmlal_s16(v_y2_sum, v_y_lo, v_y_lo);
+ v_y2_sum = vmlal_s16(v_y2_sum, v_y_hi, v_y_hi);
+ const int32x4_t v_y_sum_a = vpadalq_s16(v_y_sum, v_y);
+ const int64x2_t v_xy_sum2 = vpaddlq_s32(v_xy_sum_a);
+#if AOM_ARCH_AARCH64
+ const int64x2_t v_y2_sum_a = vpaddlq_s32(v_y2_sum);
+ xy_sum += vaddvq_s64(v_xy_sum2);
+ const int32_t y = vaddvq_s32(v_y_sum_a);
+ const int64_t y2 = vaddvq_s64(v_y2_sum_a);
+#else
+ xy_sum += vget_lane_s64(
+ vadd_s64(vget_low_s64(v_xy_sum2), vget_high_s64(v_xy_sum2)), 0);
+ const int64x2_t v_y_a = vpaddlq_s32(v_y_sum_a);
+ const int64_t y =
+ vget_lane_s64(vadd_s64(vget_low_s64(v_y_a), vget_high_s64(v_y_a)), 0);
+ const int64x2_t v_y2_sum_b = vpaddlq_s32(v_y2_sum);
+ int64_t y2 = vget_lane_s64(
+ vadd_s64(vget_low_s64(v_y2_sum_b), vget_high_s64(v_y2_sum_b)), 0);
+#endif
+ x_sum += y;
+ x2_sum += y2;
+ x_finalrow += y;
+ x2_finalrow += y2;
+ } else {
+ for (int j = 0; j < width - 1; ++j) {
+ const int16_t x = diff[(height - 1) * stride + j];
+ const int16_t y = diff[(height - 1) * stride + j + 1];
+ xy_sum += x * y;
+ x_sum += y;
+ x2_sum += y * y;
+ x_finalrow += y;
+ x2_finalrow += y * y;
+ }
+ }
+ } else { // Two rows remaining to do
+ const int16_t x0 = diff[(height - 2) * stride];
+ const int16_t z0 = diff[(height - 1) * stride];
+ x_sum += x0 + z0;
+ x2_sum += x0 * x0 + z0 * z0;
+ x_finalrow += z0;
+ x2_finalrow += z0 * z0;
+ if (width >= 8) {
+ int32x4_t v_y2_sum = zero;
+ int32x4_t v_w2_sum = zero;
+ int32x4_t v_xy_sum_a = zero;
+ int32x4_t v_xz_sum_a = zero;
+ int32x4_t v_x_sum_a = zero;
+ int32x4_t v_w_sum = zero;
+ int k = width - 1;
+ int j = 0;
+ while ((k - 8) > 0) {
+ const int16x8_t v_x = vld1q_s16(&diff[(height - 2) * stride + j]);
+ const int16x8_t v_y = vld1q_s16(&diff[(height - 2) * stride + j + 1]);
+ const int16x8_t v_z = vld1q_s16(&diff[(height - 1) * stride + j]);
+ const int16x8_t v_w = vld1q_s16(&diff[(height - 1) * stride + j + 1]);
+
+ const int16x4_t v_x_lo = vget_low_s16(v_x);
+ const int16x4_t v_y_lo = vget_low_s16(v_y);
+ const int16x4_t v_z_lo = vget_low_s16(v_z);
+ const int16x4_t v_w_lo = vget_low_s16(v_w);
+ const int16x4_t v_x_hi = vget_high_s16(v_x);
+ const int16x4_t v_y_hi = vget_high_s16(v_y);
+ const int16x4_t v_z_hi = vget_high_s16(v_z);
+ const int16x4_t v_w_hi = vget_high_s16(v_w);
+
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_lo, v_y_lo);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_hi, v_y_hi);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_z_lo, v_w_lo);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_z_hi, v_w_hi);
+
+ v_xz_sum_a = vmlal_s16(v_xz_sum_a, v_x_lo, v_z_lo);
+ v_xz_sum_a = vmlal_s16(v_xz_sum_a, v_x_hi, v_z_hi);
+
+ v_w2_sum = vmlal_s16(v_w2_sum, v_w_lo, v_w_lo);
+ v_w2_sum = vmlal_s16(v_w2_sum, v_w_hi, v_w_hi);
+ v_y2_sum = vmlal_s16(v_y2_sum, v_y_lo, v_y_lo);
+ v_y2_sum = vmlal_s16(v_y2_sum, v_y_hi, v_y_hi);
+
+ v_w_sum = vpadalq_s16(v_w_sum, v_w);
+ v_x_sum_a = vpadalq_s16(v_x_sum_a, v_y);
+ v_x_sum_a = vpadalq_s16(v_x_sum_a, v_w);
+
+ k -= 8;
+ j += 8;
+ }
+ const int16x8_t v_l = vld1q_s16(&diff[(height - 2) * stride] + j);
+ const int16x8_t v_x =
+ vextq_s16(vextq_s16(vreinterpretq_s16_s32(zero), v_l, 7),
+ vreinterpretq_s16_s32(zero), 1);
+ const int16x8_t v_y = vextq_s16(v_l, vreinterpretq_s16_s32(zero), 1);
+ const int16x8_t v_l_2 = vld1q_s16(&diff[(height - 1) * stride] + j);
+ const int16x8_t v_z =
+ vextq_s16(vextq_s16(vreinterpretq_s16_s32(zero), v_l_2, 7),
+ vreinterpretq_s16_s32(zero), 1);
+ const int16x8_t v_w = vextq_s16(v_l_2, vreinterpretq_s16_s32(zero), 1);
+
+ const int16x4_t v_x_lo = vget_low_s16(v_x);
+ const int16x4_t v_y_lo = vget_low_s16(v_y);
+ const int16x4_t v_z_lo = vget_low_s16(v_z);
+ const int16x4_t v_w_lo = vget_low_s16(v_w);
+ const int16x4_t v_x_hi = vget_high_s16(v_x);
+ const int16x4_t v_y_hi = vget_high_s16(v_y);
+ const int16x4_t v_z_hi = vget_high_s16(v_z);
+ const int16x4_t v_w_hi = vget_high_s16(v_w);
+
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_lo, v_y_lo);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_hi, v_y_hi);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_z_lo, v_w_lo);
+ v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_z_hi, v_w_hi);
+
+ v_xz_sum_a = vmlal_s16(v_xz_sum_a, v_x_lo, v_z_lo);
+ v_xz_sum_a = vmlal_s16(v_xz_sum_a, v_x_hi, v_z_hi);
+
+ v_w2_sum = vmlal_s16(v_w2_sum, v_w_lo, v_w_lo);
+ v_w2_sum = vmlal_s16(v_w2_sum, v_w_hi, v_w_hi);
+ v_y2_sum = vmlal_s16(v_y2_sum, v_y_lo, v_y_lo);
+ v_y2_sum = vmlal_s16(v_y2_sum, v_y_hi, v_y_hi);
+
+ v_w_sum = vpadalq_s16(v_w_sum, v_w);
+ v_x_sum_a = vpadalq_s16(v_x_sum_a, v_y);
+ v_x_sum_a = vpadalq_s16(v_x_sum_a, v_w);
+
+#if AOM_ARCH_AARCH64
+ xy_sum += vaddvq_s64(vpaddlq_s32(v_xy_sum_a));
+ xz_sum += vaddvq_s64(vpaddlq_s32(v_xz_sum_a));
+ x_sum += vaddvq_s32(v_x_sum_a);
+ x_finalrow += vaddvq_s32(v_w_sum);
+ int64_t y2 = vaddvq_s64(vpaddlq_s32(v_y2_sum));
+ int64_t w2 = vaddvq_s64(vpaddlq_s32(v_w2_sum));
+#else
+ const int64x2_t v_xy_sum2 = vpaddlq_s32(v_xy_sum_a);
+ xy_sum += vget_lane_s64(
+ vadd_s64(vget_low_s64(v_xy_sum2), vget_high_s64(v_xy_sum2)), 0);
+ const int64x2_t v_xz_sum2 = vpaddlq_s32(v_xz_sum_a);
+ xz_sum += vget_lane_s64(
+ vadd_s64(vget_low_s64(v_xz_sum2), vget_high_s64(v_xz_sum2)), 0);
+ const int64x2_t v_x_sum2 = vpaddlq_s32(v_x_sum_a);
+ x_sum += vget_lane_s64(
+ vadd_s64(vget_low_s64(v_x_sum2), vget_high_s64(v_x_sum2)), 0);
+ const int64x2_t v_w_sum_a = vpaddlq_s32(v_w_sum);
+ x_finalrow += vget_lane_s64(
+ vadd_s64(vget_low_s64(v_w_sum_a), vget_high_s64(v_w_sum_a)), 0);
+ const int64x2_t v_y2_sum_a = vpaddlq_s32(v_y2_sum);
+ int64_t y2 = vget_lane_s64(
+ vadd_s64(vget_low_s64(v_y2_sum_a), vget_high_s64(v_y2_sum_a)), 0);
+ const int64x2_t v_w2_sum_a = vpaddlq_s32(v_w2_sum);
+ int64_t w2 = vget_lane_s64(
+ vadd_s64(vget_low_s64(v_w2_sum_a), vget_high_s64(v_w2_sum_a)), 0);
+#endif
+ x2_sum += y2 + w2;
+ x2_finalrow += w2;
+ } else {
+ for (int j = 0; j < width - 1; ++j) {
+ const int16_t x = diff[(height - 2) * stride + j];
+ const int16_t y = diff[(height - 2) * stride + j + 1];
+ const int16_t z = diff[(height - 1) * stride + j];
+ const int16_t w = diff[(height - 1) * stride + j + 1];
+
+ // Horizontal and vertical correlations for the penultimate row:
+ xy_sum += x * y;
+ xz_sum += x * z;
+
+ // Now just horizontal correlations for the final row:
+ xy_sum += z * w;
+
+ x_sum += y + w;
+ x2_sum += y * y + w * w;
+ x_finalrow += w;
+ x2_finalrow += w * w;
+ }
+ }
+ }
+
+ // Do we have 2 columns remaining or just the one?
+ if (width % 3 == 1) { // Just vert corrs on the final col
+ const int16_t x0 = diff[width - 1];
+ x_sum += x0;
+ x_finalcol += x0;
+ x2_sum += x0 * x0;
+ x2_finalcol += x0 * x0;
+ for (int i = 0; i < height - 1; ++i) {
+ const int16_t x = diff[i * stride + width - 1];
+ const int16_t z = diff[(i + 1) * stride + width - 1];
+ xz_sum += x * z;
+ x_finalcol += z;
+ x2_finalcol += z * z;
+ // So the bottom-right elements don't get counted twice:
+ if (i < height - (height % 3 == 1 ? 2 : 3)) {
+ x_sum += z;
+ x2_sum += z * z;
+ }
+ }
+ } else { // Two cols remaining
+ const int16_t x0 = diff[width - 2];
+ const int16_t y0 = diff[width - 1];
+ x_sum += x0 + y0;
+ x2_sum += x0 * x0 + y0 * y0;
+ x_finalcol += y0;
+ x2_finalcol += y0 * y0;
+ for (int i = 0; i < height - 1; ++i) {
+ const int16_t x = diff[i * stride + width - 2];
+ const int16_t y = diff[i * stride + width - 1];
+ const int16_t z = diff[(i + 1) * stride + width - 2];
+ const int16_t w = diff[(i + 1) * stride + width - 1];
+
+ // Horizontal and vertical correlations for the penultimate col:
+ // Skip these on the last iteration of this loop if we also had two
+ // rows remaining, otherwise the final horizontal and vertical correlation
+ // get erroneously processed twice
+ if (i < height - 2 || height % 3 == 1) {
+ xy_sum += x * y;
+ xz_sum += x * z;
+ }
+
+ x_finalcol += w;
+ x2_finalcol += w * w;
+ // So the bottom-right elements don't get counted twice:
+ if (i < height - (height % 3 == 1 ? 2 : 3)) {
+ x_sum += z + w;
+ x2_sum += z * z + w * w;
+ }
+
+ // Now just vertical correlations for the final column:
+ xz_sum += y * w;
+ }
+ }
+
+ // Calculate the simple sums and squared-sums
+ int64_t x_firstrow = 0, x_firstcol = 0;
+ int64_t x2_firstrow = 0, x2_firstcol = 0;
+
+ if (width >= 8) {
+ int32x4_t v_x_firstrow = zero;
+ int32x4_t v_x2_firstrow = zero;
+ for (int j = 0; j < width; j += 8) {
+ const int16x8_t v_diff = vld1q_s16(diff + j);
+ const int16x4_t v_diff_lo = vget_low_s16(v_diff);
+ const int16x4_t v_diff_hi = vget_high_s16(v_diff);
+ v_x_firstrow = vpadalq_s16(v_x_firstrow, v_diff);
+ v_x2_firstrow = vmlal_s16(v_x2_firstrow, v_diff_lo, v_diff_lo);
+ v_x2_firstrow = vmlal_s16(v_x2_firstrow, v_diff_hi, v_diff_hi);
+ }
+#if AOM_ARCH_AARCH64
+ x_firstrow += vaddvq_s32(v_x_firstrow);
+ x2_firstrow += vaddvq_s32(v_x2_firstrow);
+#else
+ const int64x2_t v_x_firstrow_64 = vpaddlq_s32(v_x_firstrow);
+ x_firstrow += vget_lane_s64(
+ vadd_s64(vget_low_s64(v_x_firstrow_64), vget_high_s64(v_x_firstrow_64)),
+ 0);
+ const int64x2_t v_x2_firstrow_64 = vpaddlq_s32(v_x2_firstrow);
+ x2_firstrow += vget_lane_s64(vadd_s64(vget_low_s64(v_x2_firstrow_64),
+ vget_high_s64(v_x2_firstrow_64)),
+ 0);
+#endif
+ } else {
+ for (int j = 0; j < width; ++j) {
+ x_firstrow += diff[j];
+ x2_firstrow += diff[j] * diff[j];
+ }
+ }
+ for (int i = 0; i < height; ++i) {
+ x_firstcol += diff[i * stride];
+ x2_firstcol += diff[i * stride] * diff[i * stride];
+ }
+
+ int64_t xhor_sum = x_sum - x_finalcol;
+ int64_t xver_sum = x_sum - x_finalrow;
+ int64_t y_sum = x_sum - x_firstcol;
+ int64_t z_sum = x_sum - x_firstrow;
+ int64_t x2hor_sum = x2_sum - x2_finalcol;
+ int64_t x2ver_sum = x2_sum - x2_finalrow;
+ int64_t y2_sum = x2_sum - x2_firstcol;
+ int64_t z2_sum = x2_sum - x2_firstrow;
+
+ const float num_hor = (float)(height * (width - 1));
+ const float num_ver = (float)((height - 1) * width);
+
+ const float xhor_var_n = x2hor_sum - (xhor_sum * xhor_sum) / num_hor;
+ const float xver_var_n = x2ver_sum - (xver_sum * xver_sum) / num_ver;
+
+ const float y_var_n = y2_sum - (y_sum * y_sum) / num_hor;
+ const float z_var_n = z2_sum - (z_sum * z_sum) / num_ver;
+
+ const float xy_var_n = xy_sum - (xhor_sum * y_sum) / num_hor;
+ const float xz_var_n = xz_sum - (xver_sum * z_sum) / num_ver;
+
+ if (xhor_var_n > 0 && y_var_n > 0) {
+ *hcorr = xy_var_n / sqrtf(xhor_var_n * y_var_n);
+ *hcorr = *hcorr < 0 ? 0 : *hcorr;
+ } else {
+ *hcorr = 1.0;
+ }
+ if (xver_var_n > 0 && z_var_n > 0) {
+ *vcorr = xz_var_n / sqrtf(xver_var_n * z_var_n);
+ *vcorr = *vcorr < 0 ? 0 : *vcorr;
+ } else {
+ *vcorr = 1.0;
+ }
+}
generated by cgit v1.2.3 (git 2.39.1) at 2024-07-16 22:26:43 +0000