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aomedia / aom / 44ab3b8b981bc1445f559642939296bb5a692fc1 / . / av1 / encoder / intra_mode_search_utils.h
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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.
*/
/*!\file
* \brief Defines utility functions used in intra mode search.
*
* This includes rdcost estimations, histogram based pruning, etc.
*/
#ifndef AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_
#define AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_
#include "av1/common/enums.h"
#include "av1/common/pred_common.h"
#include "av1/common/reconintra.h"
#include "av1/encoder/encoder.h"
#include "av1/encoder/encodeframe.h"
#include "av1/encoder/model_rd.h"
#include "av1/encoder/palette.h"
#include "av1/encoder/hybrid_fwd_txfm.h"
#ifdef __cplusplus
extern "C" {
#endif
/*!\cond */
// Macro for computing the speed-preset dependent threshold which is used for
// deciding whether to enable/disable variance calculations in
// intra_rd_variance_factor().
#define INTRA_RD_VAR_THRESH(X) (1.0 - (0.25 * (X)))
#define BINS 32
static const float av1_intra_hog_model_bias[DIRECTIONAL_MODES] = {
0.450578f, 0.695518f, -0.717944f, -0.639894f,
-0.602019f, -0.453454f, 0.055857f, -0.465480f,
};
static const float av1_intra_hog_model_weights[BINS * DIRECTIONAL_MODES] = {
-3.076402f, -3.757063f, -3.275266f, -3.180665f, -3.452105f, -3.216593f,
-2.871212f, -3.134296f, -1.822324f, -2.401411f, -1.541016f, -1.195322f,
-0.434156f, 0.322868f, 2.260546f, 3.368715f, 3.989290f, 3.308487f,
2.277893f, 0.923793f, 0.026412f, -0.385174f, -0.718622f, -1.408867f,
-1.050558f, -2.323941f, -2.225827f, -2.585453f, -3.054283f, -2.875087f,
-2.985709f, -3.447155f, 3.758139f, 3.204353f, 2.170998f, 0.826587f,
-0.269665f, -0.702068f, -1.085776f, -2.175249f, -1.623180f, -2.975142f,
-2.779629f, -3.190799f, -3.521900f, -3.375480f, -3.319355f, -3.897389f,
-3.172334f, -3.594528f, -2.879132f, -2.547777f, -2.921023f, -2.281844f,
-1.818988f, -2.041771f, -0.618268f, -1.396458f, -0.567153f, -0.285868f,
-0.088058f, 0.753494f, 2.092413f, 3.215266f, -3.300277f, -2.748658f,
-2.315784f, -2.423671f, -2.257283f, -2.269583f, -2.196660f, -2.301076f,
-2.646516f, -2.271319f, -2.254366f, -2.300102f, -2.217960f, -2.473300f,
-2.116866f, -2.528246f, -3.314712f, -1.701010f, -0.589040f, -0.088077f,
0.813112f, 1.702213f, 2.653045f, 3.351749f, 3.243554f, 3.199409f,
2.437856f, 1.468854f, 0.533039f, -0.099065f, -0.622643f, -2.200732f,
-4.228861f, -2.875263f, -1.273956f, -0.433280f, 0.803771f, 1.975043f,
3.179528f, 3.939064f, 3.454379f, 3.689386f, 3.116411f, 1.970991f,
0.798406f, -0.628514f, -1.252546f, -2.825176f, -4.090178f, -3.777448f,
-3.227314f, -3.479403f, -3.320569f, -3.159372f, -2.729202f, -2.722341f,
-3.054913f, -2.742923f, -2.612703f, -2.662632f, -2.907314f, -3.117794f,
-3.102660f, -3.970972f, -4.891357f, -3.935582f, -3.347758f, -2.721924f,
-2.219011f, -1.702391f, -0.866529f, -0.153743f, 0.107733f, 1.416882f,
2.572884f, 3.607755f, 3.974820f, 3.997783f, 2.970459f, 0.791687f,
-1.478921f, -1.228154f, -1.216955f, -1.765932f, -1.951003f, -1.985301f,
-1.975881f, -1.985593f, -2.422371f, -2.419978f, -2.531288f, -2.951853f,
-3.071380f, -3.277027f, -3.373539f, -4.462010f, -0.967888f, 0.805524f,
2.794130f, 3.685984f, 3.745195f, 3.252444f, 2.316108f, 1.399146f,
-0.136519f, -0.162811f, -1.004357f, -1.667911f, -1.964662f, -2.937579f,
-3.019533f, -3.942766f, -5.102767f, -3.882073f, -3.532027f, -3.451956f,
-2.944015f, -2.643064f, -2.529872f, -2.077290f, -2.809965f, -1.803734f,
-1.783593f, -1.662585f, -1.415484f, -1.392673f, -0.788794f, -1.204819f,
-1.998864f, -1.182102f, -0.892110f, -1.317415f, -1.359112f, -1.522867f,
-1.468552f, -1.779072f, -2.332959f, -2.160346f, -2.329387f, -2.631259f,
-2.744936f, -3.052494f, -2.787363f, -3.442548f, -4.245075f, -3.032172f,
-2.061609f, -1.768116f, -1.286072f, -0.706587f, -0.192413f, 0.386938f,
0.716997f, 1.481393f, 2.216702f, 2.737986f, 3.109809f, 3.226084f,
2.490098f, -0.095827f, -3.864816f, -3.507248f, -3.128925f, -2.908251f,
-2.883836f, -2.881411f, -2.524377f, -2.624478f, -2.399573f, -2.367718f,
-1.918255f, -1.926277f, -1.694584f, -1.723790f, -0.966491f, -1.183115f,
-1.430687f, 0.872896f, 2.766550f, 3.610080f, 3.578041f, 3.334928f,
2.586680f, 1.895721f, 1.122195f, 0.488519f, -0.140689f, -0.799076f,
-1.222860f, -1.502437f, -1.900969f, -3.206816f,
};
static const NN_CONFIG av1_intra_hog_model_nnconfig = {
BINS, // num_inputs
DIRECTIONAL_MODES, // num_outputs
0, // num_hidden_layers
{ 0 },
{
av1_intra_hog_model_weights,
},
{
av1_intra_hog_model_bias,
},
};
#define FIX_PREC_BITS (16)
static inline int get_hist_bin_idx(int dx, int dy) {
const int32_t ratio = (dy * (1 << FIX_PREC_BITS)) / dx;
// Find index by bisection
static const int thresholds[BINS] = {
-1334015, -441798, -261605, -183158, -138560, -109331, -88359, -72303,
-59392, -48579, -39272, -30982, -23445, -16400, -9715, -3194,
3227, 9748, 16433, 23478, 31015, 39305, 48611, 59425,
72336, 88392, 109364, 138593, 183191, 261638, 441831, INT32_MAX
};
int lo_idx = 0, hi_idx = BINS - 1;
// Divide into segments of size 8 gives better performance than binary search
// here.
if (ratio <= thresholds[7]) {
lo_idx = 0;
hi_idx = 7;
} else if (ratio <= thresholds[15]) {
lo_idx = 8;
hi_idx = 15;
} else if (ratio <= thresholds[23]) {
lo_idx = 16;
hi_idx = 23;
} else {
lo_idx = 24;
hi_idx = 31;
}
for (int idx = lo_idx; idx <= hi_idx; idx++) {
if (ratio <= thresholds[idx]) {
return idx;
}
}
assert(0 && "No valid histogram bin found!");
return BINS - 1;
}
#undef FIX_PREC_BITS
// Normalizes the hog data.
static inline void normalize_hog(float total, float *hist) {
for (int i = 0; i < BINS; ++i) hist[i] /= total;
}
static inline void lowbd_generate_hog(const uint8_t *src, int stride, int rows,
int cols, float *hist) {
float total = 0.1f;
src += stride;
for (int r = 1; r < rows - 1; ++r) {
for (int c = 1; c < cols - 1; ++c) {
const uint8_t *above = &src[c - stride];
const uint8_t *below = &src[c + stride];
const uint8_t *left = &src[c - 1];
const uint8_t *right = &src[c + 1];
// Calculate gradient using Sobel filters.
const int dx = (right[-stride] + 2 * right[0] + right[stride]) -
(left[-stride] + 2 * left[0] + left[stride]);
const int dy = (below[-1] + 2 * below[0] + below[1]) -
(above[-1] + 2 * above[0] + above[1]);
if (dx == 0 && dy == 0) continue;
const int temp = abs(dx) + abs(dy);
if (!temp) continue;
total += temp;
if (dx == 0) {
hist[0] += temp / 2;
hist[BINS - 1] += temp / 2;
} else {
const int idx = get_hist_bin_idx(dx, dy);
assert(idx >= 0 && idx < BINS);
hist[idx] += temp;
}
}
src += stride;
}
normalize_hog(total, hist);
}
// Computes and stores pixel level gradient information of a given superblock
// for LBD encode.
static inline void lowbd_compute_gradient_info_sb(MACROBLOCK *const x,
BLOCK_SIZE sb_size,
PLANE_TYPE plane) {
PixelLevelGradientInfo *const grad_info_sb =
x->pixel_gradient_info + plane * MAX_SB_SQUARE;
const uint8_t *src = x->plane[plane].src.buf;
const int stride = x->plane[plane].src.stride;
const int ss_x = x->e_mbd.plane[plane].subsampling_x;
const int ss_y = x->e_mbd.plane[plane].subsampling_y;
const int sb_height = block_size_high[sb_size] >> ss_y;
const int sb_width = block_size_wide[sb_size] >> ss_x;
src += stride;
for (int r = 1; r < sb_height - 1; ++r) {
for (int c = 1; c < sb_width - 1; ++c) {
const uint8_t *above = &src[c - stride];
const uint8_t *below = &src[c + stride];
const uint8_t *left = &src[c - 1];
const uint8_t *right = &src[c + 1];
// Calculate gradient using Sobel filters.
const int dx = (right[-stride] + 2 * right[0] + right[stride]) -
(left[-stride] + 2 * left[0] + left[stride]);
const int dy = (below[-1] + 2 * below[0] + below[1]) -
(above[-1] + 2 * above[0] + above[1]);
grad_info_sb[r * sb_width + c].is_dx_zero = (dx == 0);
grad_info_sb[r * sb_width + c].abs_dx_abs_dy_sum =
(uint16_t)(abs(dx) + abs(dy));
grad_info_sb[r * sb_width + c].hist_bin_idx =
(dx != 0) ? get_hist_bin_idx(dx, dy) : -1;
}
src += stride;
}
}
#if CONFIG_AV1_HIGHBITDEPTH
static inline void highbd_generate_hog(const uint8_t *src8, int stride,
int rows, int cols, float *hist) {
float total = 0.1f;
const uint16_t *src = CONVERT_TO_SHORTPTR(src8);
src += stride;
for (int r = 1; r < rows - 1; ++r) {
for (int c = 1; c < cols - 1; ++c) {
const uint16_t *above = &src[c - stride];
const uint16_t *below = &src[c + stride];
const uint16_t *left = &src[c - 1];
const uint16_t *right = &src[c + 1];
// Calculate gradient using Sobel filters.
const int dx = (right[-stride] + 2 * right[0] + right[stride]) -
(left[-stride] + 2 * left[0] + left[stride]);
const int dy = (below[-1] + 2 * below[0] + below[1]) -
(above[-1] + 2 * above[0] + above[1]);
if (dx == 0 && dy == 0) continue;
const int temp = abs(dx) + abs(dy);
if (!temp) continue;
total += temp;
if (dx == 0) {
hist[0] += temp / 2;
hist[BINS - 1] += temp / 2;
} else {
const int idx = get_hist_bin_idx(dx, dy);
assert(idx >= 0 && idx < BINS);
hist[idx] += temp;
}
}
src += stride;
}
normalize_hog(total, hist);
}
// Computes and stores pixel level gradient information of a given superblock
// for HBD encode.
static inline void highbd_compute_gradient_info_sb(MACROBLOCK *const x,
BLOCK_SIZE sb_size,
PLANE_TYPE plane) {
PixelLevelGradientInfo *const grad_info_sb =
x->pixel_gradient_info + plane * MAX_SB_SQUARE;
const uint16_t *src = CONVERT_TO_SHORTPTR(x->plane[plane].src.buf);
const int stride = x->plane[plane].src.stride;
const int ss_x = x->e_mbd.plane[plane].subsampling_x;
const int ss_y = x->e_mbd.plane[plane].subsampling_y;
const int sb_height = block_size_high[sb_size] >> ss_y;
const int sb_width = block_size_wide[sb_size] >> ss_x;
src += stride;
for (int r = 1; r < sb_height - 1; ++r) {
for (int c = 1; c < sb_width - 1; ++c) {
const uint16_t *above = &src[c - stride];
const uint16_t *below = &src[c + stride];
const uint16_t *left = &src[c - 1];
const uint16_t *right = &src[c + 1];
// Calculate gradient using Sobel filters.
const int dx = (right[-stride] + 2 * right[0] + right[stride]) -
(left[-stride] + 2 * left[0] + left[stride]);
const int dy = (below[-1] + 2 * below[0] + below[1]) -
(above[-1] + 2 * above[0] + above[1]);
grad_info_sb[r * sb_width + c].is_dx_zero = (dx == 0);
grad_info_sb[r * sb_width + c].abs_dx_abs_dy_sum =
(uint16_t)(abs(dx) + abs(dy));
grad_info_sb[r * sb_width + c].hist_bin_idx =
(dx != 0) ? get_hist_bin_idx(dx, dy) : -1;
}
src += stride;
}
}
#endif // CONFIG_AV1_HIGHBITDEPTH
static inline void generate_hog(const uint8_t *src8, int stride, int rows,
int cols, float *hist, int highbd) {
#if CONFIG_AV1_HIGHBITDEPTH
if (highbd) {
highbd_generate_hog(src8, stride, rows, cols, hist);
return;
}
#else
(void)highbd;
#endif // CONFIG_AV1_HIGHBITDEPTH
lowbd_generate_hog(src8, stride, rows, cols, hist);
}
static inline void compute_gradient_info_sb(MACROBLOCK *const x,
BLOCK_SIZE sb_size,
PLANE_TYPE plane) {
#if CONFIG_AV1_HIGHBITDEPTH
if (is_cur_buf_hbd(&x->e_mbd)) {
highbd_compute_gradient_info_sb(x, sb_size, plane);
return;
}
#endif // CONFIG_AV1_HIGHBITDEPTH
lowbd_compute_gradient_info_sb(x, sb_size, plane);
}
// Gradient caching at superblock level is allowed only if all of the following
// conditions are satisfied:
// (1) The current frame is an intra only frame
// (2) Non-RD mode decisions are not enabled
// (3) The sf partition_search_type is set to SEARCH_PARTITION
// (4) Either intra_pruning_with_hog or chroma_intra_pruning_with_hog is enabled
//
// SB level caching of gradient data may not help in speedup for the following
// cases:
// (1) Inter frames (due to early intra gating)
// (2) When partition_search_type is not SEARCH_PARTITION
// Hence, gradient data is computed at block level in such cases.
static inline bool is_gradient_caching_for_hog_enabled(
const AV1_COMP *const cpi) {
const SPEED_FEATURES *const sf = &cpi->sf;
return frame_is_intra_only(&cpi->common) && !sf->rt_sf.use_nonrd_pick_mode &&
(sf->part_sf.partition_search_type == SEARCH_PARTITION) &&
(sf->intra_sf.intra_pruning_with_hog ||
sf->intra_sf.chroma_intra_pruning_with_hog);
}
// Function to generate pixel level gradient information for a given superblock.
// Sets the flags 'is_sb_gradient_cached' for the specific plane-type if
// gradient info is generated for the same.
static inline void produce_gradients_for_sb(AV1_COMP *cpi, MACROBLOCK *x,
BLOCK_SIZE sb_size, int mi_row,
int mi_col) {
// Initialise flags related to hog data caching.
x->is_sb_gradient_cached[PLANE_TYPE_Y] = false;
x->is_sb_gradient_cached[PLANE_TYPE_UV] = false;
if (!is_gradient_caching_for_hog_enabled(cpi)) return;
const SPEED_FEATURES *sf = &cpi->sf;
const int num_planes = av1_num_planes(&cpi->common);
av1_setup_src_planes(x, cpi->source, mi_row, mi_col, num_planes, sb_size);
if (sf->intra_sf.intra_pruning_with_hog) {
compute_gradient_info_sb(x, sb_size, PLANE_TYPE_Y);
x->is_sb_gradient_cached[PLANE_TYPE_Y] = true;
}
if (sf->intra_sf.chroma_intra_pruning_with_hog && num_planes > 1) {
compute_gradient_info_sb(x, sb_size, PLANE_TYPE_UV);
x->is_sb_gradient_cached[PLANE_TYPE_UV] = true;
}
}
// Reuses the pixel level gradient data generated at superblock level for block
// level histogram computation.
static inline void generate_hog_using_gradient_cache(const MACROBLOCK *x,
int rows, int cols,
BLOCK_SIZE sb_size,
PLANE_TYPE plane,
float *hist) {
float total = 0.1f;
const int ss_x = x->e_mbd.plane[plane].subsampling_x;
const int ss_y = x->e_mbd.plane[plane].subsampling_y;
const int sb_width = block_size_wide[sb_size] >> ss_x;
// Derive the offset from the starting of the superblock in order to locate
// the block level gradient data in the cache.
const int mi_row_in_sb = x->e_mbd.mi_row & (mi_size_high[sb_size] - 1);
const int mi_col_in_sb = x->e_mbd.mi_col & (mi_size_wide[sb_size] - 1);
const int block_offset_in_grad_cache =
sb_width * (mi_row_in_sb << (MI_SIZE_LOG2 - ss_y)) +
(mi_col_in_sb << (MI_SIZE_LOG2 - ss_x));
const PixelLevelGradientInfo *grad_info_blk = x->pixel_gradient_info +
plane * MAX_SB_SQUARE +
block_offset_in_grad_cache;
// Retrieve the cached gradient information and generate the histogram.
for (int r = 1; r < rows - 1; ++r) {
for (int c = 1; c < cols - 1; ++c) {
const uint16_t abs_dx_abs_dy_sum =
grad_info_blk[r * sb_width + c].abs_dx_abs_dy_sum;
if (!abs_dx_abs_dy_sum) continue;
total += abs_dx_abs_dy_sum;
const bool is_dx_zero = grad_info_blk[r * sb_width + c].is_dx_zero;
if (is_dx_zero) {
hist[0] += abs_dx_abs_dy_sum >> 1;
hist[BINS - 1] += abs_dx_abs_dy_sum >> 1;
} else {
const int8_t idx = grad_info_blk[r * sb_width + c].hist_bin_idx;
assert(idx >= 0 && idx < BINS);
hist[idx] += abs_dx_abs_dy_sum;
}
}
}
normalize_hog(total, hist);
}
static inline void collect_hog_data(const MACROBLOCK *x, BLOCK_SIZE bsize,
BLOCK_SIZE sb_size, int plane, float *hog) {
const MACROBLOCKD *xd = &x->e_mbd;
const struct macroblockd_plane *const pd = &xd->plane[plane];
const int ss_x = pd->subsampling_x;
const int ss_y = pd->subsampling_y;
const int bh = block_size_high[bsize];
const int bw = block_size_wide[bsize];
const int rows =
((xd->mb_to_bottom_edge >= 0) ? bh : (xd->mb_to_bottom_edge >> 3) + bh) >>
ss_y;
const int cols =
((xd->mb_to_right_edge >= 0) ? bw : (xd->mb_to_right_edge >> 3) + bw) >>
ss_x;
// If gradient data is already generated at SB level, reuse the cached data.
// Otherwise, compute the data.
if (x->is_sb_gradient_cached[plane]) {
generate_hog_using_gradient_cache(x, rows, cols, sb_size, plane, hog);
} else {
const uint8_t *src = x->plane[plane].src.buf;
const int src_stride = x->plane[plane].src.stride;
generate_hog(src, src_stride, rows, cols, hog, is_cur_buf_hbd(xd));
}
// Scale the hog so the luma and chroma are on the same scale
for (int b = 0; b < BINS; ++b) {
hog[b] *= (1 + ss_x) * (1 + ss_y);
}
}
static inline void prune_intra_mode_with_hog(
const MACROBLOCK *x, BLOCK_SIZE bsize, BLOCK_SIZE sb_size, float th,
uint8_t *directional_mode_skip_mask, int is_chroma) {
const int plane = is_chroma ? AOM_PLANE_U : AOM_PLANE_Y;
float hist[BINS] = { 0.0f };
collect_hog_data(x, bsize, sb_size, plane, hist);
// Make prediction for each of the mode
float scores[DIRECTIONAL_MODES] = { 0.0f };
av1_nn_predict(hist, &av1_intra_hog_model_nnconfig, 1, scores);
for (UV_PREDICTION_MODE uv_mode = UV_V_PRED; uv_mode <= UV_D67_PRED;
uv_mode++) {
if (scores[uv_mode - UV_V_PRED] <= th) {
directional_mode_skip_mask[uv_mode] = 1;
}
}
}
#undef BINS
int av1_calc_normalized_variance(aom_variance_fn_t vf, const uint8_t *const buf,
const int stride, const int is_hbd);
// Returns whether caching of source variance for 4x4 sub-blocks is allowed.
static inline bool is_src_var_for_4x4_sub_blocks_caching_enabled(
const AV1_COMP *const cpi) {
const SPEED_FEATURES *const sf = &cpi->sf;
if (cpi->oxcf.mode != ALLINTRA) return false;
if (sf->part_sf.partition_search_type == SEARCH_PARTITION) return true;
if (INTRA_RD_VAR_THRESH(cpi->oxcf.speed) <= 0 ||
(sf->rt_sf.use_nonrd_pick_mode && !sf->rt_sf.hybrid_intra_pickmode))
return false;
return true;
}
// Initialize the members of Block4x4VarInfo structure to -1 at the start
// of every superblock.
static inline void init_src_var_info_of_4x4_sub_blocks(
const AV1_COMP *const cpi, Block4x4VarInfo *src_var_info_of_4x4_sub_blocks,
const BLOCK_SIZE sb_size) {
if (!is_src_var_for_4x4_sub_blocks_caching_enabled(cpi)) return;
const int mi_count_in_sb = mi_size_wide[sb_size] * mi_size_high[sb_size];
for (int i = 0; i < mi_count_in_sb; i++) {
src_var_info_of_4x4_sub_blocks[i].var = -1;
src_var_info_of_4x4_sub_blocks[i].log_var = -1.0;
}
}
// Returns the cost needed to send a uniformly distributed r.v.
static inline int write_uniform_cost(int n, int v) {
const int l = get_unsigned_bits(n);
const int m = (1 << l) - n;
if (l == 0) return 0;
if (v < m)
return av1_cost_literal(l - 1);
else
return av1_cost_literal(l);
}
/*!\endcond */
/*!\brief Returns the rate cost for luma prediction mode info of intra blocks.
*
* \callergraph
*/
static inline int intra_mode_info_cost_y(const AV1_COMP *cpi,
const MACROBLOCK *x,
const MB_MODE_INFO *mbmi,
BLOCK_SIZE bsize, int mode_cost,
int discount_color_cost) {
int total_rate = mode_cost;
const ModeCosts *mode_costs = &x->mode_costs;
const int use_palette = mbmi->palette_mode_info.palette_size[0] > 0;
const int use_filter_intra = mbmi->filter_intra_mode_info.use_filter_intra;
const int use_intrabc = mbmi->use_intrabc;
// Can only activate one mode.
assert(((mbmi->mode != DC_PRED) + use_palette + use_intrabc +
use_filter_intra) <= 1);
const int try_palette = av1_allow_palette(
cpi->common.features.allow_screen_content_tools, mbmi->bsize);
if (try_palette && mbmi->mode == DC_PRED) {
const MACROBLOCKD *xd = &x->e_mbd;
const int bsize_ctx = av1_get_palette_bsize_ctx(bsize);
const int mode_ctx = av1_get_palette_mode_ctx(xd);
total_rate +=
mode_costs->palette_y_mode_cost[bsize_ctx][mode_ctx][use_palette];
if (use_palette) {
const uint8_t *const color_map = xd->plane[0].color_index_map;
int block_width, block_height, rows, cols;
av1_get_block_dimensions(bsize, 0, xd, &block_width, &block_height, &rows,
&cols);
const int plt_size = mbmi->palette_mode_info.palette_size[0];
int palette_mode_cost =
mode_costs
->palette_y_size_cost[bsize_ctx][plt_size - PALETTE_MIN_SIZE] +
write_uniform_cost(plt_size, color_map[0]);
uint16_t color_cache[2 * PALETTE_MAX_SIZE];
const int n_cache = av1_get_palette_cache(xd, 0, color_cache);
palette_mode_cost +=
av1_palette_color_cost_y(&mbmi->palette_mode_info, color_cache,
n_cache, cpi->common.seq_params->bit_depth);
if (!discount_color_cost)
palette_mode_cost +=
av1_cost_color_map(x, 0, bsize, mbmi->tx_size, PALETTE_MAP);
total_rate += palette_mode_cost;
}
}
if (av1_filter_intra_allowed(&cpi->common, mbmi)) {
total_rate += mode_costs->filter_intra_cost[mbmi->bsize][use_filter_intra];
if (use_filter_intra) {
total_rate +=
mode_costs->filter_intra_mode_cost[mbmi->filter_intra_mode_info
.filter_intra_mode];
}
}
if (av1_is_directional_mode(mbmi->mode)) {
if (av1_use_angle_delta(bsize)) {
total_rate +=
mode_costs->angle_delta_cost[mbmi->mode - V_PRED]
[MAX_ANGLE_DELTA +
mbmi->angle_delta[PLANE_TYPE_Y]];
}
}
if (av1_allow_intrabc(&cpi->common))
total_rate += mode_costs->intrabc_cost[use_intrabc];
return total_rate;
}
/*!\brief Return the rate cost for chroma prediction mode info of intra blocks.
*
* \callergraph
*/
static inline int intra_mode_info_cost_uv(const AV1_COMP *cpi,
const MACROBLOCK *x,
const MB_MODE_INFO *mbmi,
BLOCK_SIZE bsize, int mode_cost) {
int total_rate = mode_cost;
const ModeCosts *mode_costs = &x->mode_costs;
const int use_palette = mbmi->palette_mode_info.palette_size[1] > 0;
const UV_PREDICTION_MODE uv_mode = mbmi->uv_mode;
// Can only activate one mode.
assert(((uv_mode != UV_DC_PRED) + use_palette + mbmi->use_intrabc) <= 1);
const int try_palette = av1_allow_palette(
cpi->common.features.allow_screen_content_tools, mbmi->bsize);
if (try_palette && uv_mode == UV_DC_PRED) {
const PALETTE_MODE_INFO *pmi = &mbmi->palette_mode_info;
total_rate +=
mode_costs->palette_uv_mode_cost[pmi->palette_size[0] > 0][use_palette];
if (use_palette) {
const int bsize_ctx = av1_get_palette_bsize_ctx(bsize);
const int plt_size = pmi->palette_size[1];
const MACROBLOCKD *xd = &x->e_mbd;
const uint8_t *const color_map = xd->plane[1].color_index_map;
int palette_mode_cost =
mode_costs
->palette_uv_size_cost[bsize_ctx][plt_size - PALETTE_MIN_SIZE] +
write_uniform_cost(plt_size, color_map[0]);
uint16_t color_cache[2 * PALETTE_MAX_SIZE];
const int n_cache = av1_get_palette_cache(xd, 1, color_cache);
palette_mode_cost += av1_palette_color_cost_uv(
pmi, color_cache, n_cache, cpi->common.seq_params->bit_depth);
palette_mode_cost +=
av1_cost_color_map(x, 1, bsize, mbmi->tx_size, PALETTE_MAP);
total_rate += palette_mode_cost;
}
}
const PREDICTION_MODE intra_mode = get_uv_mode(uv_mode);
if (av1_is_directional_mode(intra_mode)) {
if (av1_use_angle_delta(bsize)) {
total_rate +=
mode_costs->angle_delta_cost[intra_mode - V_PRED]
[mbmi->angle_delta[PLANE_TYPE_UV] +
MAX_ANGLE_DELTA];
}
}
return total_rate;
}
/*!\cond */
// Makes a quick intra prediction and estimate the rdcost with a model without
// going through the whole txfm/quantize/itxfm process.
static int64_t intra_model_rd(const AV1_COMMON *cm, MACROBLOCK *const x,
int plane, BLOCK_SIZE plane_bsize,
TX_SIZE tx_size, int use_hadamard) {
MACROBLOCKD *const xd = &x->e_mbd;
const BitDepthInfo bd_info = get_bit_depth_info(xd);
int row, col;
assert(!is_inter_block(xd->mi[0]));
const int stepr = tx_size_high_unit[tx_size];
const int stepc = tx_size_wide_unit[tx_size];
const int txbw = tx_size_wide[tx_size];
const int txbh = tx_size_high[tx_size];
const int max_blocks_wide = max_block_wide(xd, plane_bsize, plane);
const int max_blocks_high = max_block_high(xd, plane_bsize, plane);
int64_t satd_cost = 0;
struct macroblock_plane *p = &x->plane[plane];
struct macroblockd_plane *pd = &xd->plane[plane];
// Prediction.
for (row = 0; row < max_blocks_high; row += stepr) {
for (col = 0; col < max_blocks_wide; col += stepc) {
av1_predict_intra_block_facade(cm, xd, plane, col, row, tx_size);
// Here we use p->src_diff and p->coeff as temporary buffers for
// prediction residue and transform coefficients. The buffers are only
// used in this for loop, therefore we don't need to properly add offset
// to the buffers.
av1_subtract_block(
bd_info, txbh, txbw, p->src_diff, block_size_wide[plane_bsize],
p->src.buf + (((row * p->src.stride) + col) << 2), p->src.stride,
pd->dst.buf + (((row * pd->dst.stride) + col) << 2), pd->dst.stride);
av1_quick_txfm(use_hadamard, tx_size, bd_info, p->src_diff,
block_size_wide[plane_bsize], p->coeff);
satd_cost += aom_satd(p->coeff, tx_size_2d[tx_size]);
}
}
return satd_cost;
}
/*!\endcond */
/*!\brief Estimate the luma rdcost of a given intra mode and try to prune it.
*
* \ingroup intra_mode_search
* \callergraph
* This function first makes a quick luma prediction and estimates the rdcost
* with a model without going through the txfm, then try to prune the current
* mode if the new estimate y_rd > 1.25 * best_model_rd.
*
* \return Returns 1 if the given mode is prune; 0 otherwise.
*/
static inline int model_intra_yrd_and_prune(const AV1_COMP *const cpi,
MACROBLOCK *x, BLOCK_SIZE bsize,
int64_t *best_model_rd) {
const TX_SIZE tx_size = AOMMIN(TX_32X32, max_txsize_lookup[bsize]);
const int plane = 0;
const AV1_COMMON *cm = &cpi->common;
const int64_t this_model_rd =
intra_model_rd(cm, x, plane, bsize, tx_size, /*use_hadamard=*/1);
if (*best_model_rd != INT64_MAX &&
this_model_rd > *best_model_rd + (*best_model_rd >> 2)) {
return 1;
} else if (this_model_rd < *best_model_rd) {
*best_model_rd = this_model_rd;
}
return 0;
}
#ifdef __cplusplus
} // extern "C"
#endif
#endif // AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_