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687fc11626
Merge pull request #24274 from vrabaud:webp_1.3.2
Bump libwebp to 1.3.2 #24274
This is version [c1ffd9a](c1ffd9ac75)
It is 1.3.2 with a few patches that were made right after to help compilation.
No need for patches on the OpenCV side!
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
182 lines
7.2 KiB
C
182 lines
7.2 KiB
C
// Copyright 2022 Google Inc. All Rights Reserved.
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//
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// Use of this source code is governed by a BSD-style license
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// that can be found in the COPYING file in the root of the source
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// tree. An additional intellectual property rights grant can be found
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// in the file PATENTS. All contributing project authors may
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// be found in the AUTHORS file in the root of the source tree.
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// -----------------------------------------------------------------------------
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//
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// Speed-critical functions for Sharp YUV.
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//
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// Author: Skal (pascal.massimino@gmail.com)
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#include "sharpyuv/sharpyuv_dsp.h"
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#if defined(WEBP_USE_NEON)
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#include <assert.h>
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#include <stdlib.h>
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#include <arm_neon.h>
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static uint16_t clip_NEON(int v, int max) {
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return (v < 0) ? 0 : (v > max) ? max : (uint16_t)v;
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}
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static uint64_t SharpYuvUpdateY_NEON(const uint16_t* ref, const uint16_t* src,
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uint16_t* dst, int len, int bit_depth) {
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const int max_y = (1 << bit_depth) - 1;
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int i;
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const int16x8_t zero = vdupq_n_s16(0);
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const int16x8_t max = vdupq_n_s16(max_y);
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uint64x2_t sum = vdupq_n_u64(0);
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uint64_t diff;
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for (i = 0; i + 8 <= len; i += 8) {
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const int16x8_t A = vreinterpretq_s16_u16(vld1q_u16(ref + i));
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const int16x8_t B = vreinterpretq_s16_u16(vld1q_u16(src + i));
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const int16x8_t C = vreinterpretq_s16_u16(vld1q_u16(dst + i));
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const int16x8_t D = vsubq_s16(A, B); // diff_y
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const int16x8_t F = vaddq_s16(C, D); // new_y
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const uint16x8_t H =
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vreinterpretq_u16_s16(vmaxq_s16(vminq_s16(F, max), zero));
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const int16x8_t I = vabsq_s16(D); // abs(diff_y)
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vst1q_u16(dst + i, H);
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sum = vpadalq_u32(sum, vpaddlq_u16(vreinterpretq_u16_s16(I)));
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}
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diff = vgetq_lane_u64(sum, 0) + vgetq_lane_u64(sum, 1);
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for (; i < len; ++i) {
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const int diff_y = ref[i] - src[i];
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const int new_y = (int)(dst[i]) + diff_y;
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dst[i] = clip_NEON(new_y, max_y);
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diff += (uint64_t)(abs(diff_y));
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}
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return diff;
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}
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static void SharpYuvUpdateRGB_NEON(const int16_t* ref, const int16_t* src,
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int16_t* dst, int len) {
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int i;
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for (i = 0; i + 8 <= len; i += 8) {
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const int16x8_t A = vld1q_s16(ref + i);
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const int16x8_t B = vld1q_s16(src + i);
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const int16x8_t C = vld1q_s16(dst + i);
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const int16x8_t D = vsubq_s16(A, B); // diff_uv
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const int16x8_t E = vaddq_s16(C, D); // new_uv
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vst1q_s16(dst + i, E);
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}
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for (; i < len; ++i) {
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const int diff_uv = ref[i] - src[i];
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dst[i] += diff_uv;
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}
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}
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static void SharpYuvFilterRow16_NEON(const int16_t* A, const int16_t* B,
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int len, const uint16_t* best_y,
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uint16_t* out, int bit_depth) {
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const int max_y = (1 << bit_depth) - 1;
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int i;
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const int16x8_t max = vdupq_n_s16(max_y);
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const int16x8_t zero = vdupq_n_s16(0);
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for (i = 0; i + 8 <= len; i += 8) {
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const int16x8_t a0 = vld1q_s16(A + i + 0);
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const int16x8_t a1 = vld1q_s16(A + i + 1);
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const int16x8_t b0 = vld1q_s16(B + i + 0);
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const int16x8_t b1 = vld1q_s16(B + i + 1);
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const int16x8_t a0b1 = vaddq_s16(a0, b1);
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const int16x8_t a1b0 = vaddq_s16(a1, b0);
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const int16x8_t a0a1b0b1 = vaddq_s16(a0b1, a1b0); // A0+A1+B0+B1
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const int16x8_t a0b1_2 = vaddq_s16(a0b1, a0b1); // 2*(A0+B1)
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const int16x8_t a1b0_2 = vaddq_s16(a1b0, a1b0); // 2*(A1+B0)
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const int16x8_t c0 = vshrq_n_s16(vaddq_s16(a0b1_2, a0a1b0b1), 3);
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const int16x8_t c1 = vshrq_n_s16(vaddq_s16(a1b0_2, a0a1b0b1), 3);
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const int16x8_t e0 = vrhaddq_s16(c1, a0);
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const int16x8_t e1 = vrhaddq_s16(c0, a1);
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const int16x8x2_t f = vzipq_s16(e0, e1);
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const int16x8_t g0 = vreinterpretq_s16_u16(vld1q_u16(best_y + 2 * i + 0));
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const int16x8_t g1 = vreinterpretq_s16_u16(vld1q_u16(best_y + 2 * i + 8));
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const int16x8_t h0 = vaddq_s16(g0, f.val[0]);
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const int16x8_t h1 = vaddq_s16(g1, f.val[1]);
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const int16x8_t i0 = vmaxq_s16(vminq_s16(h0, max), zero);
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const int16x8_t i1 = vmaxq_s16(vminq_s16(h1, max), zero);
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vst1q_u16(out + 2 * i + 0, vreinterpretq_u16_s16(i0));
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vst1q_u16(out + 2 * i + 8, vreinterpretq_u16_s16(i1));
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}
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for (; i < len; ++i) {
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const int a0b1 = A[i + 0] + B[i + 1];
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const int a1b0 = A[i + 1] + B[i + 0];
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const int a0a1b0b1 = a0b1 + a1b0 + 8;
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const int v0 = (8 * A[i + 0] + 2 * a1b0 + a0a1b0b1) >> 4;
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const int v1 = (8 * A[i + 1] + 2 * a0b1 + a0a1b0b1) >> 4;
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out[2 * i + 0] = clip_NEON(best_y[2 * i + 0] + v0, max_y);
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out[2 * i + 1] = clip_NEON(best_y[2 * i + 1] + v1, max_y);
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}
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}
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static void SharpYuvFilterRow32_NEON(const int16_t* A, const int16_t* B,
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int len, const uint16_t* best_y,
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uint16_t* out, int bit_depth) {
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const int max_y = (1 << bit_depth) - 1;
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int i;
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const uint16x8_t max = vdupq_n_u16(max_y);
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for (i = 0; i + 4 <= len; i += 4) {
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const int16x4_t a0 = vld1_s16(A + i + 0);
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const int16x4_t a1 = vld1_s16(A + i + 1);
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const int16x4_t b0 = vld1_s16(B + i + 0);
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const int16x4_t b1 = vld1_s16(B + i + 1);
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const int32x4_t a0b1 = vaddl_s16(a0, b1);
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const int32x4_t a1b0 = vaddl_s16(a1, b0);
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const int32x4_t a0a1b0b1 = vaddq_s32(a0b1, a1b0); // A0+A1+B0+B1
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const int32x4_t a0b1_2 = vaddq_s32(a0b1, a0b1); // 2*(A0+B1)
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const int32x4_t a1b0_2 = vaddq_s32(a1b0, a1b0); // 2*(A1+B0)
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const int32x4_t c0 = vshrq_n_s32(vaddq_s32(a0b1_2, a0a1b0b1), 3);
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const int32x4_t c1 = vshrq_n_s32(vaddq_s32(a1b0_2, a0a1b0b1), 3);
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const int32x4_t e0 = vrhaddq_s32(c1, vmovl_s16(a0));
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const int32x4_t e1 = vrhaddq_s32(c0, vmovl_s16(a1));
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const int32x4x2_t f = vzipq_s32(e0, e1);
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const int16x8_t g = vreinterpretq_s16_u16(vld1q_u16(best_y + 2 * i));
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const int32x4_t h0 = vaddw_s16(f.val[0], vget_low_s16(g));
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const int32x4_t h1 = vaddw_s16(f.val[1], vget_high_s16(g));
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const uint16x8_t i_16 = vcombine_u16(vqmovun_s32(h0), vqmovun_s32(h1));
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const uint16x8_t i_clamped = vminq_u16(i_16, max);
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vst1q_u16(out + 2 * i + 0, i_clamped);
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}
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for (; i < len; ++i) {
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const int a0b1 = A[i + 0] + B[i + 1];
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const int a1b0 = A[i + 1] + B[i + 0];
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const int a0a1b0b1 = a0b1 + a1b0 + 8;
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const int v0 = (8 * A[i + 0] + 2 * a1b0 + a0a1b0b1) >> 4;
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const int v1 = (8 * A[i + 1] + 2 * a0b1 + a0a1b0b1) >> 4;
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out[2 * i + 0] = clip_NEON(best_y[2 * i + 0] + v0, max_y);
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out[2 * i + 1] = clip_NEON(best_y[2 * i + 1] + v1, max_y);
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}
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}
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static void SharpYuvFilterRow_NEON(const int16_t* A, const int16_t* B, int len,
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const uint16_t* best_y, uint16_t* out,
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int bit_depth) {
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if (bit_depth <= 10) {
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SharpYuvFilterRow16_NEON(A, B, len, best_y, out, bit_depth);
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} else {
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SharpYuvFilterRow32_NEON(A, B, len, best_y, out, bit_depth);
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}
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}
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//------------------------------------------------------------------------------
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extern void InitSharpYuvNEON(void);
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WEBP_TSAN_IGNORE_FUNCTION void InitSharpYuvNEON(void) {
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SharpYuvUpdateY = SharpYuvUpdateY_NEON;
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SharpYuvUpdateRGB = SharpYuvUpdateRGB_NEON;
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SharpYuvFilterRow = SharpYuvFilterRow_NEON;
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}
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#else // !WEBP_USE_NEON
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extern void InitSharpYuvNEON(void);
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void InitSharpYuvNEON(void) {}
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#endif // WEBP_USE_NEON
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