uvg266/src/search.c

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/*****************************************************************************
* This file is part of Kvazaar HEVC encoder.
2014-02-21 13:00:20 +00:00
*
* Copyright (C) 2013-2015 Tampere University of Technology and others (see
* COPYING file).
*
* Kvazaar is free software: you can redistribute it and/or modify it under
* the terms of the GNU Lesser General Public License as published by the
* Free Software Foundation; either version 2.1 of the License, or (at your
* option) any later version.
*
* Kvazaar is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for
* more details.
*
* You should have received a copy of the GNU General Public License along
* with Kvazaar. If not, see <http://www.gnu.org/licenses/>.
****************************************************************************/
/*
* \file
*/
#include "search.h"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include "config.h"
#include "bitstream.h"
#include "image.h"
#include "strategies/strategies-picture.h"
#include "strategies/strategies-ipol.h"
#include "intra.h"
#include "inter.h"
#include "filter.h"
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#include "rdo.h"
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#include "transform.h"
#include "encoder.h"
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// Temporarily for debugging.
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#define SEARCH_MV_FULL_RADIUS 0
#define IN_FRAME(x, y, width, height, block_width, block_height) \
((x) >= 0 && (y) >= 0 \
&& (x) + (block_width) <= (width) \
&& (y) + (block_height) <= (height))
// Cost treshold for doing intra search in inter frames with --rd=0.
#ifndef INTRA_TRESHOLD
# define INTRA_TRESHOLD 20
#endif
// Extra cost for CU split.
// Compensates for missing or incorrect bit costs. Must be recalculated if
// bits are added or removed from cu-tree search.
#ifndef CU_COST
# define CU_COST 3
#endif
// Disable early cu-split pruning.
#ifndef FULL_CU_SPLIT_SEARCH
# define FULL_CU_SPLIT_SEARCH false
#endif
// Modify weight of luma SSD.
#ifndef LUMA_MULT
# define LUMA_MULT 0.8
#endif
// Modify weight of chroma SSD.
#ifndef CHROMA_MULT
# define CHROMA_MULT 1.5
#endif
// Normalize SAD for comparison against SATD to estimate transform skip
// for 4x4 blocks.
#ifndef TRSKIP_RATIO
# define TRSKIP_RATIO 1.7
#endif
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/**
* This is used in the hexagon_search to select 3 points to search.
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*
* The start of the hexagonal pattern has been repeated at the end so that
* the indices between 1-6 can be used as the start of a 3-point list of new
* points to search.
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*
* 6 o-o 1 / 7
* / \
* 5 o 0 o 2 / 8
* \ /
* 4 o-o 3
*/
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const vector2d_t large_hexbs[10] = {
{ 0, 0 },
{ 1, -2 }, { 2, 0 }, { 1, 2 }, { -1, 2 }, { -2, 0 }, { -1, -2 },
{ 1, -2 }, { 2, 0 }
};
/**
* This is used as the last step of the hexagon search.
*/
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const vector2d_t small_hexbs[5] = {
{ 0, 0 },
{ -1, -1 }, { -1, 0 }, { 1, 0 }, { 1, 1 }
};
/*
* 6 7 8
* 3 4 5
* 0 1 2
*/
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const vector2d_t square[9] = {
{ -1, 1 },
{ 0, 1 }, { 1, 1 }, { -1, 0 }, { 0, 0 }, { 1, 0 }, { -1, -1 },
{ 0, -1 }, { 1, -1 }
};
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static uint32_t get_ep_ex_golomb_bitcost(uint32_t symbol, uint32_t count)
{
int32_t num_bins = 0;
while (symbol >= (uint32_t)(1 << count)) {
++num_bins;
symbol -= 1 << count;
++count;
}
num_bins ++;
return num_bins;
}
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static uint32_t get_mvd_coding_cost(vector2d_t *mvd)
{
uint32_t bitcost = 0;
const int32_t mvd_hor = mvd->x;
const int32_t mvd_ver = mvd->y;
const int8_t hor_abs_gr0 = mvd_hor != 0;
const int8_t ver_abs_gr0 = mvd_ver != 0;
const uint32_t mvd_hor_abs = abs(mvd_hor);
const uint32_t mvd_ver_abs = abs(mvd_ver);
// Greater than 0 for x/y
bitcost += 2;
if (hor_abs_gr0) {
if (mvd_hor_abs > 1) {
bitcost += get_ep_ex_golomb_bitcost(mvd_hor_abs-2, 1) - 2; // TODO: tune the costs
}
// Greater than 1 + sign
bitcost += 2;
}
if (ver_abs_gr0) {
if (mvd_ver_abs > 1) {
bitcost += get_ep_ex_golomb_bitcost(mvd_ver_abs-2, 1) - 2; // TODO: tune the costs
}
// Greater than 1 + sign
bitcost += 2;
}
return bitcost;
}
static int calc_mvd_cost(const encoder_state_t * const state, int x, int y, int mv_shift,
int16_t mv_cand[2][2], inter_merge_cand_t merge_cand[MRG_MAX_NUM_CANDS],
int16_t num_cand,int32_t ref_idx, uint32_t *bitcost)
{
uint32_t temp_bitcost = 0;
uint32_t merge_idx;
int cand1_cost,cand2_cost;
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vector2d_t mvd_temp1, mvd_temp2;
int8_t merged = 0;
int8_t cur_mv_cand = 0;
x <<= mv_shift;
y <<= mv_shift;
// Check every candidate to find a match
for(merge_idx = 0; merge_idx < (uint32_t)num_cand; merge_idx++) {
if (merge_cand[merge_idx].dir == 3) continue;
if (merge_cand[merge_idx].mv[merge_cand[merge_idx].dir - 1][0] == x &&
merge_cand[merge_idx].mv[merge_cand[merge_idx].dir - 1][1] == y &&
merge_cand[merge_idx].ref[merge_cand[merge_idx].dir - 1] == ref_idx) {
temp_bitcost += merge_idx;
merged = 1;
break;
}
}
// Check mvd cost only if mv is not merged
if(!merged) {
mvd_temp1.x = x - mv_cand[0][0];
mvd_temp1.y = y - mv_cand[0][1];
cand1_cost = get_mvd_coding_cost(&mvd_temp1);
mvd_temp2.x = x - mv_cand[1][0];
mvd_temp2.y = y - mv_cand[1][1];
cand2_cost = get_mvd_coding_cost(&mvd_temp2);
// Select candidate 1 if it has lower cost
if (cand2_cost < cand1_cost) {
cur_mv_cand = 1;
}
temp_bitcost += cur_mv_cand ? cand2_cost : cand1_cost;
}
*bitcost = temp_bitcost;
return temp_bitcost*(int32_t)(state->global->cur_lambda_cost_sqrt+0.5);
}
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unsigned tz_pattern_search(const encoder_state_t * const state, const image_t *pic, const image_t *ref, unsigned pattern_type,
const vector2d_t *orig, const int iDist, vector2d_t *mv, unsigned best_cost, int *best_dist,
int16_t mv_cand[2][2], inter_merge_cand_t merge_cand[MRG_MAX_NUM_CANDS], int16_t num_cand, int32_t ref_idx, uint32_t *best_bitcost,
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int block_width, int max_lcu_below)
{
int n_points;
int best_index = -1;
int i;
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vector2d_t mv_best = { 0, 0 };
//implemented search patterns
vector2d_t pattern[4][8] = {
//diamond (8 points)
//[ ][ ][ ][ ][1][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][8][ ][ ][ ][5][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[4][ ][ ][ ][o][ ][ ][ ][2]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][7][ ][ ][ ][6][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][3][ ][ ][ ][ ]
{
{ 0, iDist }, { iDist, 0 }, { 0, -iDist }, { -iDist, 0 },
{ iDist / 2, iDist / 2 }, { iDist / 2, -iDist / 2 }, { -iDist / 2, -iDist / 2 }, { -iDist / 2, iDist / 2 }
},
//square (8 points)
//[8][ ][ ][ ][1][ ][ ][ ][2]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[7][ ][ ][ ][o][ ][ ][ ][3]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[6][ ][ ][ ][5][ ][ ][ ][4]
{
{ 0, iDist }, { iDist, iDist }, { iDist, 0 }, { iDist, -iDist }, { 0, -iDist },
{ -iDist, -iDist }, { -iDist, 0 }, { -iDist, iDist }
},
//octagon (8 points)
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//[ ][ ][5][ ][ ][ ][1][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][2]
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//[4][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][o][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
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//[8][ ][ ][ ][ ][ ][ ][ ][6]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][7][ ][ ][ ][3][ ][ ]
{
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{ iDist / 2, iDist }, { iDist, iDist / 2 }, { iDist / 2, -iDist }, { -iDist, iDist / 2 },
{ -iDist / 2, iDist }, { iDist, -iDist / 2 }, { -iDist / 2, -iDist }, { -iDist, -iDist / 2 }
},
//hexagon (6 points)
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//[ ][ ][5][ ][ ][ ][1][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[4][ ][ ][ ][o][ ][ ][ ][2]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][ ][ ][ ][ ][ ][ ][ ]
//[ ][ ][6][ ][ ][ ][3][ ][ ]
{
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{ iDist / 2, iDist }, { iDist, 0 }, { iDist / 2, -iDist }, { -iDist, 0 },
{ iDist / 2, iDist }, { -iDist / 2, -iDist }, { 0, 0 }, { 0, 0 }
}
};
//make sure parameter pattern_type is within correct range
if (pattern_type > sizeof pattern - 1)
{
pattern_type = sizeof pattern - 1;
}
//set the number of points to be checked
if (iDist == 1)
{
switch (pattern_type)
{
case 0:
n_points = 4;
break;
case 2:
n_points = 4;
break;
case 3:
n_points = 4;
break;
default:
n_points = 8;
break;
};
}
else
{
switch (pattern_type)
{
case 3:
n_points = 6;
break;
default:
n_points = 8;
break;
};
}
//compute SAD values for all chosen points
for (i = 0; i < n_points; i++)
{
vector2d_t *current = &pattern[pattern_type][i];
unsigned cost;
uint32_t bitcost;
{
PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv->x + current->x,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv->y + current->y,
block_width, block_width, max_lcu_below);
cost += calc_mvd_cost(state, mv->x + current->x, mv->y + current->y, 2, mv_cand, merge_cand, num_cand, ref_idx, &bitcost);
PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=large_hexbs,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv->x + current->x,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv->x + current->x + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv->y + current->y,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv->y + current->y + block_width);
}
if (cost < best_cost)
{
best_cost = cost;
*best_bitcost = bitcost;
best_index = i;
}
}
if (best_index >= 0)
{
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mv_best = pattern[pattern_type][best_index];
*best_dist = iDist;
}
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mv->x += mv_best.x;
mv->y += mv_best.y;
return best_cost;
}
unsigned tz_raster_search(const encoder_state_t * const state, const image_t *pic, const image_t *ref,
const vector2d_t *orig, vector2d_t *mv, unsigned best_cost,
int16_t mv_cand[2][2], inter_merge_cand_t merge_cand[MRG_MAX_NUM_CANDS], int16_t num_cand, int32_t ref_idx, uint32_t *best_bitcost,
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int block_width, int iSearchRange, int iRaster, int max_lcu_below)
{
int i;
int k;
vector2d_t mv_best = { 0, 0 };
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//compute SAD values for every point in the iRaster downsampled version of the current search area
for (i = iSearchRange; i >= -iSearchRange; i -= iRaster)
{
for (k = -iSearchRange; k <= iSearchRange; k += iRaster)
{
vector2d_t current = { k, i };
unsigned cost;
uint32_t bitcost;
{
PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv->x + k,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv->y + i,
block_width, block_width, max_lcu_below);
cost += calc_mvd_cost(state, mv->x + k, mv->y + i, 2, mv_cand, merge_cand, num_cand, ref_idx, &bitcost);
PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=large_hexbs,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv->x + k,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv->x + k + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv->y + i,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv->y + i + block_width);
}
if (cost < best_cost)
{
best_cost = cost;
*best_bitcost = bitcost;
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mv_best = current;
}
}
}
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mv->x += mv_best.x;
mv->y += mv_best.y;
return best_cost;
}
static unsigned tz_search(const encoder_state_t * const state, unsigned depth,
const image_t *pic, const image_t *ref,
const vector2d_t *orig, vector2d_t *mv_in_out,
int16_t mv_cand[2][2], inter_merge_cand_t merge_cand[MRG_MAX_NUM_CANDS],
int16_t num_cand, int32_t ref_idx, uint32_t *bitcost_out)
{
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//TZ parameters
int iSearchRange = 96; // search range for each stage
int iRaster = 5; // search distance limit and downsampling factor for step 3
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unsigned step2_type = 0; // search patterns for steps 2 and 4
unsigned step4_type = 0;
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bool bRasterRefinementEnable = true; // enable step 4 mode 1
bool bStarRefinementEnable = false; // enable step 4 mode 2 (only one mode will be executed)
int block_width = CU_WIDTH_FROM_DEPTH(depth);
vector2d_t mv = { mv_in_out->x >> 2, mv_in_out->y >> 2 };
unsigned best_cost = UINT32_MAX;
uint32_t best_bitcost = 0;
int iDist;
int best_dist = 0;
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unsigned best_index = num_cand;
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int max_lcu_below = -1;
if (state->encoder_control->owf) {
max_lcu_below = 1;
}
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//step 1, compare (0,0) vector to predicted vectors
// Check whatever input vector we got, unless its (0, 0) which will be checked later.
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if (mv.x || mv.y)
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{
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PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
best_cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y,
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block_width, block_width, max_lcu_below);
best_cost += calc_mvd_cost(state, mv.x, mv.y, 2, mv_cand, merge_cand, num_cand, ref_idx, &best_bitcost);
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PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=large_hexbs,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + block_width);
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}
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int i;
// Select starting point from among merge candidates. These should include
// both mv_cand vectors and (0, 0).
for (i = 0; i < num_cand; ++i)
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{
if (merge_cand[i].dir == 3) continue;
mv.x = merge_cand[i].mv[merge_cand[i].dir - 1][0] >> 2;
mv.y = merge_cand[i].mv[merge_cand[i].dir - 1][1] >> 2;
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PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
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uint32_t bitcost;
unsigned cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y,
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block_width, block_width, max_lcu_below);
cost += calc_mvd_cost(state, mv.x, mv.y, 2, mv_cand, merge_cand, num_cand, ref_idx, &bitcost);
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PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=large_hexbs,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + block_width);
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if (cost < best_cost) {
best_cost = cost;
best_index = i;
best_bitcost = bitcost;
}
}
if (best_index < (unsigned)num_cand) {
mv.x = merge_cand[best_index].mv[merge_cand[best_index].dir - 1][0] >> 2;
mv.y = merge_cand[best_index].mv[merge_cand[best_index].dir - 1][1] >> 2;
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} else {
mv.x = mv_in_out->x >> 2;
mv.y = mv_in_out->y >> 2;
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}
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//step 2, grid search
for (iDist = 1; iDist <= iSearchRange; iDist *= 2)
{
best_cost = tz_pattern_search(state, pic, ref, step2_type, orig, iDist, &mv, best_cost, &best_dist,
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mv_cand, merge_cand, num_cand, ref_idx, &best_bitcost, block_width, max_lcu_below);
}
//step 3, raster scan
if (best_dist > iRaster)
{
best_dist = iRaster;
best_cost = tz_raster_search(state, pic, ref, orig, &mv, best_cost, mv_cand, merge_cand,
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num_cand, ref_idx, &best_bitcost, block_width, iSearchRange, iRaster, max_lcu_below);
}
//step 4
//raster refinement
if (bRasterRefinementEnable && best_dist > 0)
{
iDist = best_dist >> 1;
while (iDist > 0)
{
best_cost = tz_pattern_search(state, pic, ref, step4_type, orig, iDist, &mv, best_cost, &best_dist,
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mv_cand, merge_cand, num_cand, ref_idx, &best_bitcost, block_width, max_lcu_below);
iDist = iDist >> 1;
}
}
//star refinement (repeat step 2 for the current starting point)
if (bStarRefinementEnable && best_dist > 0)
{
for (iDist = 1; iDist <= iSearchRange; iDist *= 2)
{
best_cost = tz_pattern_search(state, pic, ref, step4_type, orig, iDist, &mv, best_cost, &best_dist,
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mv_cand, merge_cand, num_cand, ref_idx, &best_bitcost, block_width, max_lcu_below);
}
}
2015-03-08 17:19:23 +00:00
mv.x = mv.x << 2;
mv.y = mv.y << 2;
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*mv_in_out = mv;
*bitcost_out = best_bitcost;
return best_cost;
}
2014-03-06 16:14:01 +00:00
2013-10-22 08:40:24 +00:00
/**
* \brief Do motion search using the HEXBS algorithm.
*
* \param depth log2 depth of the search
* \param pic Picture motion vector is searched for.
* \param ref Picture motion vector is searched from.
* \param orig Top left corner of the searched for block.
* \param mv_in_out Predicted mv in and best out. Quarter pixel precision.
*
* \returns Cost of the motion vector.
*
* Motion vector is searched by first searching iteratively with the large
* hexagon pattern until the best match is at the center of the hexagon.
* As a final step a smaller hexagon is used to check the adjacent pixels.
*
* If a non 0,0 predicted motion vector predictor is given as mv_in_out,
* the 0,0 vector is also tried. This is hoped to help in the case where
* the predicted motion vector is way off. In the future even more additional
* points like 0,0 might be used, such as vectors from top or left.
*/
static unsigned hexagon_search(const encoder_state_t * const state, unsigned depth,
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const image_t *pic, const image_t *ref,
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const vector2d_t *orig, vector2d_t *mv_in_out,
int16_t mv_cand[2][2], inter_merge_cand_t merge_cand[MRG_MAX_NUM_CANDS],
int16_t num_cand, int32_t ref_idx, uint32_t *bitcost_out)
{
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vector2d_t mv = { mv_in_out->x >> 2, mv_in_out->y >> 2 };
int block_width = CU_WIDTH_FROM_DEPTH(depth);
unsigned best_cost = UINT32_MAX;
uint32_t best_bitcost = 0, bitcost;
unsigned i;
unsigned best_index = 0; // Index of large_hexbs or finally small_hexbs.
int max_lcu_below = -1;
if (state->encoder_control->owf) {
max_lcu_below = 1;
}
// Check mv_in, if it's not in merge candidates.
bool mv_in_merge_cand = false;
for (int i = 0; i < num_cand; ++i) {
if (merge_cand[i].dir == 3) continue;
if (merge_cand[i].mv[merge_cand[i].dir - 1][0] >> 2 == mv.x &&
merge_cand[i].mv[merge_cand[i].dir - 1][1] >> 2 == mv.y) {
mv_in_merge_cand = true;
break;
}
}
if (!mv_in_merge_cand) {
PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
best_cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y,
block_width, block_width, max_lcu_below);
best_cost += calc_mvd_cost(state, mv.x, mv.y, 2, mv_cand, merge_cand, num_cand, ref_idx, &bitcost);
best_bitcost = bitcost;
best_index = num_cand;
PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=large_hexbs,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + block_width);
}
// Select starting point from among merge candidates. These should include
// both mv_cand vectors and (0, 0).
for (i = 0; i < num_cand; ++i) {
if (merge_cand[i].dir == 3) continue;
mv.x = merge_cand[i].mv[merge_cand[i].dir - 1][0] >> 2;
mv.y = merge_cand[i].mv[merge_cand[i].dir - 1][1] >> 2;
PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
unsigned cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y,
block_width, block_width, max_lcu_below);
cost += calc_mvd_cost(state, mv.x, mv.y, 2, mv_cand, merge_cand, num_cand, ref_idx, &bitcost);
PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=large_hexbs,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + block_width);
if (cost < best_cost) {
best_cost = cost;
best_index = i;
best_bitcost = bitcost;
}
}
if (best_index < num_cand) {
mv.x = merge_cand[best_index].mv[merge_cand[best_index].dir - 1][0] >> 2;
mv.y = merge_cand[best_index].mv[merge_cand[best_index].dir - 1][1] >> 2;
} else {
mv.x = mv_in_out->x >> 2;
mv.y = mv_in_out->y >> 2;
}
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// Search the initial 7 points of the hexagon.
best_index = 0;
for (i = 0; i < 7; ++i) {
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const vector2d_t *pattern = &large_hexbs[i];
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unsigned cost;
{
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PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
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cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + pattern->x,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + pattern->y,
block_width, block_width, max_lcu_below);
cost += calc_mvd_cost(state, mv.x + pattern->x, mv.y + pattern->y, 2, mv_cand,merge_cand,num_cand,ref_idx, &bitcost);
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PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=large_hexbs,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + pattern->x,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + pattern->x + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + pattern->y,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + pattern->y + block_width);
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}
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if (cost < best_cost) {
best_cost = cost;
best_index = i;
best_bitcost = bitcost;
}
}
// Iteratively search the 3 new points around the best match, until the best
// match is in the center.
while (best_index != 0) {
unsigned start; // Starting point of the 3 offsets to be searched.
if (best_index == 1) {
start = 6;
} else if (best_index == 8) {
start = 1;
} else {
start = best_index - 1;
}
// Move the center to the best match.
mv.x += large_hexbs[best_index].x;
mv.y += large_hexbs[best_index].y;
best_index = 0;
// Iterate through the next 3 points.
for (i = 0; i < 3; ++i) {
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const vector2d_t *offset = &large_hexbs[start + i];
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unsigned cost;
{
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PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
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cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + offset->x,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + offset->y,
block_width, block_width, max_lcu_below);
cost += calc_mvd_cost(state, mv.x + offset->x, mv.y + offset->y, 2, mv_cand,merge_cand,num_cand,ref_idx, &bitcost);
PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=large_hexbs_iterative,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + offset->x,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + offset->x + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + offset->y,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + offset->y + block_width);
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}
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if (cost < best_cost) {
best_cost = cost;
best_index = start + i;
best_bitcost = bitcost;
}
++offset;
}
}
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// Move the center to the best match.
mv.x += large_hexbs[best_index].x;
mv.y += large_hexbs[best_index].y;
best_index = 0;
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// Do the final step of the search with a small pattern.
for (i = 1; i < 5; ++i) {
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const vector2d_t *offset = &small_hexbs[i];
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unsigned cost;
{
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PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_PIXELS);
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cost = image_calc_sad(pic, ref, orig->x, orig->y,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + offset->x,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + offset->y,
block_width, block_width, max_lcu_below);
cost += calc_mvd_cost(state, mv.x + offset->x, mv.y + offset->y, 2, mv_cand,merge_cand,num_cand,ref_idx, &bitcost);
PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_PIXELS, state->encoder_control->threadqueue, "type=sad,step=small_hexbs,frame=%d,tile=%d,ref=%d,px_x=%d-%d,px_y=%d-%d,ref_px_x=%d-%d,ref_px_y=%d-%d", state->global->frame, state->tile->id, ref->poc - state->global->poc, orig->x, orig->x + block_width, orig->y, orig->y + block_width,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + offset->x,
(state->tile->lcu_offset_x * LCU_WIDTH) + orig->x + mv.x + offset->x + block_width,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + offset->y,
(state->tile->lcu_offset_y * LCU_WIDTH) + orig->y + mv.y + offset->y + block_width);
2014-07-08 09:42:58 +00:00
}
if (cost > 0 && cost < best_cost) {
best_cost = cost;
best_index = i;
best_bitcost = bitcost;
}
}
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// Adjust the movement vector according to the final best match.
mv.x += small_hexbs[best_index].x;
mv.y += small_hexbs[best_index].y;
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// Return final movement vector in quarter-pixel precision.
mv_in_out->x = mv.x << 2;
mv_in_out->y = mv.y << 2;
*bitcost_out = best_bitcost;
return best_cost;
}
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#if SEARCH_MV_FULL_RADIUS
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static unsigned search_mv_full(unsigned depth,
const picture *pic, const picture *ref,
const vector2d *orig, vector2d *mv_in_out,
int16_t mv_cand[2][2], int16_t merge_cand[MRG_MAX_NUM_CANDS][3],
int16_t num_cand, int32_t ref_idx, uint32_t *bitcost_out)
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{
vector2d mv = { mv_in_out->x >> 2, mv_in_out->y >> 2 };
int block_width = CU_WIDTH_FROM_DEPTH(depth);
unsigned best_cost = UINT32_MAX;
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int x, y;
uint32_t best_bitcost = 0, bitcost;
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vector2d min_mv, max_mv;
/*if (abs(mv.x) > SEARCH_MV_FULL_RADIUS || abs(mv.y) > SEARCH_MV_FULL_RADIUS) {
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best_cost = calc_sad(pic, ref, orig->x, orig->y,
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orig->x, orig->y,
block_width, block_width);
mv.x = 0;
mv.y = 0;
}*/
min_mv.x = mv.x - SEARCH_MV_FULL_RADIUS;
min_mv.y = mv.y - SEARCH_MV_FULL_RADIUS;
max_mv.x = mv.x + SEARCH_MV_FULL_RADIUS;
max_mv.y = mv.y + SEARCH_MV_FULL_RADIUS;
for (y = min_mv.y; y < max_mv.y; ++y) {
for (x = min_mv.x; x < max_mv.x; ++x) {
unsigned cost = calc_sad(pic, ref, orig->x, orig->y,
orig->x + x,
orig->y + y,
block_width, block_width);
cost += calc_mvd_cost(x, y, mv_cand,merge_cand,num_cand,ref_idx, &bitcost);
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if (cost < best_cost) {
best_cost = cost;
best_bitcost = bitcost;
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mv.x = x;
mv.y = y;
}
}
}
mv_in_out->x = mv.x << 2;
mv_in_out->y = mv.y << 2;
*bitcost_out = best_bitcost;
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return best_cost;
}
#endif
2013-10-22 16:00:36 +00:00
/**
* \brief Do fractional motion estimation
*
* \param depth log2 depth of the search
* \param pic Picture motion vector is searched for.
* \param ref Picture motion vector is searched from.
* \param orig Top left corner of the searched for block.
* \param mv_in_out Predicted mv in and best out. Quarter pixel precision.
*
* \returns Cost of the motion vector.
*
* Algoritm first searches 1/2-pel positions around integer mv and after best match is found,
* refines the search by searching best 1/4-pel postion around best 1/2-pel position.
*/
static unsigned search_frac(const encoder_state_t * const state,
unsigned depth,
const image_t *pic, const image_t *ref,
const vector2d_t *orig, vector2d_t *mv_in_out,
int16_t mv_cand[2][2], inter_merge_cand_t merge_cand[MRG_MAX_NUM_CANDS],
int16_t num_cand, int32_t ref_idx, uint32_t *bitcost_out)
{
//Set mv to halfpel precision
2015-03-04 11:32:11 +00:00
vector2d_t mv = { mv_in_out->x >> 2, mv_in_out->y >> 2 };
int block_width = CU_WIDTH_FROM_DEPTH(depth);
unsigned best_cost = UINT32_MAX;
uint32_t best_bitcost = 0, bitcost;
unsigned i;
unsigned best_index = 0; // Index of large_hexbs or finally small_hexbs.
unsigned cost = 0;
2014-11-06 13:59:10 +00:00
cost_pixel_nxn_func *satd = pixels_get_satd_func(block_width);
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vector2d_t halfpel_offset;
#define FILTER_SIZE 8
#define HALF_FILTER (FILTER_SIZE>>1)
//create buffer for block + extra for filter
int src_stride = block_width+FILTER_SIZE+1;
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pixel_t src[(LCU_WIDTH+FILTER_SIZE+1) * (LCU_WIDTH+FILTER_SIZE+1)];
pixel_t* src_off = &src[HALF_FILTER+HALF_FILTER*(block_width+FILTER_SIZE+1)];
//destination buffer for interpolation
int dst_stride = (block_width+1)*4;
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pixel_t dst[(LCU_WIDTH+1) * (LCU_WIDTH+1) * 16];
pixel_t* dst_off = &dst[dst_stride*4+4];
extend_borders(orig->x, orig->y, mv.x-1, mv.y-1,
state->tile->lcu_offset_x * LCU_WIDTH,
state->tile->lcu_offset_y * LCU_WIDTH,
2014-11-06 13:59:10 +00:00
ref->y, ref->width, ref->height, FILTER_SIZE, block_width+1, block_width+1, src);
filter_inter_quarterpel_luma(state->encoder_control, src_off, src_stride, block_width+1,
block_width+1, dst, dst_stride, 1, 1);
//Set mv to half-pixel precision
mv.x <<= 1;
mv.y <<= 1;
// Search halfpel positions around best integer mv
for (i = 0; i < 9; ++i) {
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const vector2d_t *pattern = &square[i];
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pixel_t tmp_filtered[LCU_WIDTH*LCU_WIDTH];
pixel_t tmp_pic[LCU_WIDTH*LCU_WIDTH];
int y,x;
for(y = 0; y < block_width; ++y) {
int dst_y = y*4+pattern->y*2;
for(x = 0; x < block_width; ++x) {
int dst_x = x*4+pattern->x*2;
tmp_filtered[y*block_width+x] = dst_off[dst_y*dst_stride+dst_x];
tmp_pic[y*block_width+x] = pic->y[orig->x+x + (orig->y+y)*pic->width];
}
}
cost = satd(tmp_pic,tmp_filtered);
cost += calc_mvd_cost(state, mv.x + pattern->x, mv.y + pattern->y, 1, mv_cand,merge_cand,num_cand,ref_idx, &bitcost);
if (cost < best_cost) {
best_cost = cost;
best_index = i;
best_bitcost = bitcost;
}
}
//Set mv to best match
mv.x += square[best_index].x;
mv.y += square[best_index].y;
halfpel_offset.x = square[best_index].x*2;
halfpel_offset.y = square[best_index].y*2;
//Set mv to quarterpel precision
mv.x <<= 1;
mv.y <<= 1;
//Search quarterpel points around best halfpel mv
for (i = 0; i < 9; ++i) {
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const vector2d_t *pattern = &square[i];
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pixel_t tmp_filtered[LCU_WIDTH*LCU_WIDTH];
pixel_t tmp_pic[LCU_WIDTH*LCU_WIDTH];
int y,x;
for(y = 0; y < block_width; ++y) {
int dst_y = y*4+halfpel_offset.y+pattern->y;
for(x = 0; x < block_width; ++x) {
int dst_x = x*4+halfpel_offset.x+pattern->x;
tmp_filtered[y*block_width+x] = dst_off[dst_y*dst_stride+dst_x];
tmp_pic[y*block_width+x] = pic->y[orig->x+x + (orig->y+y)*pic->width];
}
}
cost = satd(tmp_pic,tmp_filtered);
cost += calc_mvd_cost(state, mv.x + pattern->x, mv.y + pattern->y, 0, mv_cand,merge_cand,num_cand,ref_idx, &bitcost);
if (cost < best_cost) {
best_cost = cost;
best_index = i;
best_bitcost = bitcost;
}
}
//Set mv to best final best match
mv.x += square[best_index].x;
mv.y += square[best_index].y;
mv_in_out->x = mv.x;
mv_in_out->y = mv.y;
*bitcost_out = best_bitcost;
return best_cost;
}
/**
* Update lcu to have best modes at this depth.
* \return Cost of best mode.
*/
static int search_cu_inter(const encoder_state_t * const state, int x, int y, int depth, lcu_t *lcu)
2014-02-21 13:24:57 +00:00
{
const videoframe_t * const frame = state->tile->frame;
uint32_t ref_idx = 0;
int x_local = (x&0x3f), y_local = (y&0x3f);
int x_cu = x>>3;
int y_cu = y>>3;
int cu_pos = LCU_CU_OFFSET+(x_local>>3) + (y_local>>3)*LCU_T_CU_WIDTH;
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cu_info_t *cur_cu = &lcu->cu[cu_pos];
int16_t mv_cand[2][2];
// Search for merge mode candidate
inter_merge_cand_t merge_cand[MRG_MAX_NUM_CANDS];
// Get list of candidates
int16_t num_cand = inter_get_merge_cand(state, x, y, depth, merge_cand, lcu);
// Select better candidate
cur_cu->inter.mv_cand = 0; // Default to candidate 0
cur_cu->inter.cost = UINT_MAX;
for (ref_idx = 0; ref_idx < state->global->ref->used_size; ref_idx++) {
image_t *ref_image = state->global->ref->images[ref_idx];
uint32_t temp_bitcost = 0;
uint32_t temp_cost = 0;
vector2d_t orig, mvd;
int32_t merged = 0;
uint8_t cu_mv_cand = 0;
int8_t merge_idx = 0;
int8_t ref_list = state->global->refmap[ref_idx].list-1;
int8_t temp_ref_idx = cur_cu->inter.mv_ref[ref_list];
orig.x = x_cu * CU_MIN_SIZE_PIXELS;
orig.y = y_cu * CU_MIN_SIZE_PIXELS;
// Get MV candidates
cur_cu->inter.mv_ref[ref_list] = ref_idx;
inter_get_mv_cand(state, x, y, depth, mv_cand, cur_cu, lcu, ref_list);
cur_cu->inter.mv_ref[ref_list] = temp_ref_idx;
vector2d_t mv = { 0, 0 };
{
// Take starting point for MV search from previous frame.
// When temporal motion vector candidates are added, there is probably
// no point to this anymore, but for now it helps.
2015-03-23 07:21:52 +00:00
int mid_x_cu = (x + (LCU_WIDTH >> (depth+1))) / 8;
int mid_y_cu = (y + (LCU_WIDTH >> (depth+1))) / 8;
cu_info_t *ref_cu = &state->global->ref->cu_arrays[ref_idx]->data[mid_x_cu + mid_y_cu * (frame->width_in_lcu << MAX_DEPTH)];
if (ref_cu->type == CU_INTER) {
if (ref_cu->inter.mv_dir & 1) {
mv.x = ref_cu->inter.mv[0][0];
mv.y = ref_cu->inter.mv[0][1];
} else {
mv.x = ref_cu->inter.mv[1][0];
mv.y = ref_cu->inter.mv[1][1];
}
}
}
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#if SEARCH_MV_FULL_RADIUS
temp_cost += search_mv_full(depth, frame, ref_pic, &orig, &mv, mv_cand, merge_cand, num_cand, ref_idx, &temp_bitcost);
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#else
switch (state->encoder_control->cfg->ime_algorithm) {
case IME_TZ :
temp_cost += tz_search(state, depth, frame->source, ref_image, &orig, &mv, mv_cand, merge_cand, num_cand, ref_idx, &temp_bitcost);
break;
default:
temp_cost += hexagon_search(state, depth, frame->source, ref_image, &orig, &mv, mv_cand, merge_cand, num_cand, ref_idx, &temp_bitcost);
break;
}
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#endif
if (state->encoder_control->cfg->fme_level > 0) {
temp_cost = search_frac(state, depth, frame->source, ref_image, &orig, &mv, mv_cand, merge_cand, num_cand, ref_idx, &temp_bitcost);
}
merged = 0;
// Check every candidate to find a match
for(merge_idx = 0; merge_idx < num_cand; merge_idx++) {
if (merge_cand[merge_idx].dir != 3 &&
merge_cand[merge_idx].mv[merge_cand[merge_idx].dir - 1][0] == mv.x &&
merge_cand[merge_idx].mv[merge_cand[merge_idx].dir - 1][1] == mv.y &&
(uint32_t)merge_cand[merge_idx].ref == ref_idx) {
merged = 1;
break;
}
}
// Only check when candidates are different
if (!merged && (mv_cand[0][0] != mv_cand[1][0] || mv_cand[0][1] != mv_cand[1][1])) {
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vector2d_t mvd_temp1, mvd_temp2;
int cand1_cost,cand2_cost;
mvd_temp1.x = mv.x - mv_cand[0][0];
mvd_temp1.y = mv.y - mv_cand[0][1];
cand1_cost = get_mvd_coding_cost(&mvd_temp1);
mvd_temp2.x = mv.x - mv_cand[1][0];
mvd_temp2.y = mv.y - mv_cand[1][1];
cand2_cost = get_mvd_coding_cost(&mvd_temp2);
// Select candidate 1 if it has lower cost
if (cand2_cost < cand1_cost) {
cu_mv_cand = 1;
}
}
mvd.x = mv.x - mv_cand[cu_mv_cand][0];
mvd.y = mv.y - mv_cand[cu_mv_cand][1];
if(temp_cost < cur_cu->inter.cost) {
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// Map reference index to L0/L1 pictures
cur_cu->inter.mv_dir = ref_list+1;
cur_cu->inter.mv_ref_coded[ref_list] = state->global->refmap[ref_idx].idx;
cur_cu->merged = merged;
cur_cu->merge_idx = merge_idx;
cur_cu->inter.mv_ref[ref_list] = ref_idx;
cur_cu->inter.mv[ref_list][0] = (int16_t)mv.x;
cur_cu->inter.mv[ref_list][1] = (int16_t)mv.y;
cur_cu->inter.mvd[ref_list][0] = (int16_t)mvd.x;
cur_cu->inter.mvd[ref_list][1] = (int16_t)mvd.y;
cur_cu->inter.cost = temp_cost;
cur_cu->inter.bitcost = temp_bitcost + cur_cu->inter.mv_dir - 1 + cur_cu->inter.mv_ref_coded[ref_list];
cur_cu->inter.mv_cand = cu_mv_cand;
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}
}
// Search bi-pred positions
if (state->global->slicetype == SLICE_B && state->encoder_control->cfg->bipred) {
lcu_t *templcu = MALLOC(lcu_t, 1);
cost_pixel_nxn_func *satd = pixels_get_satd_func(LCU_WIDTH >> depth);
#define NUM_PRIORITY_LIST 12;
static const uint8_t priorityList0[] = { 0, 1, 0, 2, 1, 2, 0, 3, 1, 3, 2, 3 };
static const uint8_t priorityList1[] = { 1, 0, 2, 0, 2, 1, 3, 0, 3, 1, 3, 2 };
uint8_t cutoff = num_cand;
for (int32_t idx = 0; idx<cutoff*(cutoff - 1); idx++) {
uint8_t i = priorityList0[idx];
uint8_t j = priorityList1[idx];
if (i >= num_cand || j >= num_cand) break;
// Find one L0 and L1 candidate according to the priority list
if ((merge_cand[i].dir & 0x1) && (merge_cand[j].dir & 0x2)) {
if (merge_cand[i].ref[0] != merge_cand[j].ref[1] ||
merge_cand[i].mv[0][0] != merge_cand[j].mv[1][0] ||
merge_cand[i].mv[0][1] != merge_cand[j].mv[1][1]) {
uint32_t bitcost[2];
uint32_t cost = 0;
int8_t cu_mv_cand = 0;
int16_t mv[2][2];
pixel_t tmp_block[64 * 64];
pixel_t tmp_pic[64 * 64];
// Force L0 and L1 references
if (state->global->refmap[merge_cand[i].ref[0]].list == 2 || state->global->refmap[merge_cand[j].ref[1]].list == 1) continue;
mv[0][0] = merge_cand[i].mv[0][0] & 0xfff8;
mv[0][1] = merge_cand[i].mv[0][1] & 0xfff8;
mv[1][0] = merge_cand[j].mv[1][0] & 0xfff8;
mv[1][1] = merge_cand[j].mv[1][1] & 0xfff8;
memset(templcu->rec.y, 0, 64 * 64);
inter_recon_lcu_bipred(state, state->global->ref->images[merge_cand[i].ref[0]], state->global->ref->images[merge_cand[j].ref[1]], x, y, LCU_WIDTH >> depth, mv, templcu);
for (int ypos = 0; ypos < LCU_WIDTH >> depth; ++ypos) {
int dst_y = ypos*(LCU_WIDTH >> depth);
for (int xpos = 0; xpos < (LCU_WIDTH >> depth); ++xpos) {
tmp_block[dst_y + xpos] = templcu->rec.y[((y + ypos)&(LCU_WIDTH - 1))*LCU_WIDTH + ((x + xpos)&(LCU_WIDTH - 1))];
tmp_pic[dst_y + xpos] = frame->source->y[x + xpos + (y + ypos)*frame->source->width];
}
}
cost = satd(tmp_pic, tmp_block);
cost += calc_mvd_cost(state, merge_cand[i].mv[0][0] & 0xfff8, merge_cand[i].mv[0][1] & 0xfff8, 0, mv_cand, merge_cand, 0, ref_idx, &bitcost[0]);
cost += calc_mvd_cost(state, merge_cand[i].mv[1][0] & 0xfff8, merge_cand[i].mv[1][1] & 0xfff8, 0, mv_cand, merge_cand, 0, ref_idx, &bitcost[1]);
if (cost < cur_cu->inter.cost) {
cur_cu->inter.mv_dir = 3;
cur_cu->inter.mv_ref_coded[0] = state->global->refmap[merge_cand[i].ref[0]].idx;
cur_cu->inter.mv_ref_coded[1] = state->global->refmap[merge_cand[j].ref[1]].idx;
cur_cu->merged = 0;
cur_cu->inter.mv_ref[0] = merge_cand[i].ref[0];
cur_cu->inter.mv_ref[1] = merge_cand[j].ref[1];
cur_cu->inter.mv[0][0] = merge_cand[i].mv[0][0] & 0xfff8;
cur_cu->inter.mv[0][1] = merge_cand[i].mv[0][1] & 0xfff8;
cur_cu->inter.mv[1][0] = merge_cand[j].mv[1][0] & 0xfff8;
cur_cu->inter.mv[1][1] = merge_cand[j].mv[1][1] & 0xfff8;
for (int reflist = 0; reflist < 2; reflist++) {
cu_mv_cand = 0;
inter_get_mv_cand(state, x, y, depth, mv_cand, cur_cu, lcu, reflist);
if ((mv_cand[0][0] != mv_cand[1][0] || mv_cand[0][1] != mv_cand[1][1])) {
vector2d_t mvd_temp1, mvd_temp2;
int cand1_cost, cand2_cost;
mvd_temp1.x = cur_cu->inter.mv[reflist][0] - mv_cand[0][0];
mvd_temp1.y = cur_cu->inter.mv[reflist][1] - mv_cand[0][1];
cand1_cost = get_mvd_coding_cost(&mvd_temp1);
mvd_temp2.x = cur_cu->inter.mv[reflist][0] - mv_cand[1][0];
mvd_temp2.y = cur_cu->inter.mv[reflist][1] - mv_cand[1][1];
cand2_cost = get_mvd_coding_cost(&mvd_temp2);
// Select candidate 1 if it has lower cost
if (cand2_cost < cand1_cost) {
//cu_mv_cand = 1;
cu_mv_cand = 0;
}
}
cur_cu->inter.mvd[reflist][0] = cur_cu->inter.mv[reflist][0] - mv_cand[cu_mv_cand][0];
cur_cu->inter.mvd[reflist][1] = cur_cu->inter.mv[reflist][1] - mv_cand[cu_mv_cand][1];
}
cur_cu->inter.cost = cost;
cur_cu->inter.bitcost = bitcost[0] + bitcost[1] + cur_cu->inter.mv_dir - 1 + cur_cu->inter.mv_ref_coded[0] + cur_cu->inter.mv_ref_coded[1];
cur_cu->inter.mv_cand = cu_mv_cand;
}
}
}
}
FREE_POINTER(templcu);
}
return cur_cu->inter.cost;
}
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/**
* Copy all non-reference CU data from depth+1 to depth.
*/
static void work_tree_copy_up(int x_px, int y_px, int depth, lcu_t work_tree[MAX_PU_DEPTH + 1])
{
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// Copy non-reference CUs.
{
const int x_cu = SUB_SCU(x_px) >> MAX_DEPTH;
const int y_cu = SUB_SCU(y_px) >> MAX_DEPTH;
const int width_cu = LCU_WIDTH >> MAX_DEPTH >> depth;
int x, y;
for (y = y_cu; y < y_cu + width_cu; ++y) {
for (x = x_cu; x < x_cu + width_cu; ++x) {
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const cu_info_t *from_cu = &work_tree[depth + 1].cu[LCU_CU_OFFSET + x + y * LCU_T_CU_WIDTH];
cu_info_t *to_cu = &work_tree[depth].cu[LCU_CU_OFFSET + x + y * LCU_T_CU_WIDTH];
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memcpy(to_cu, from_cu, sizeof(*to_cu));
}
}
}
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// Copy reconstructed pixels.
{
const int x = SUB_SCU(x_px);
const int y = SUB_SCU(y_px);
const int width_px = LCU_WIDTH >> depth;
const int luma_index = x + y * LCU_WIDTH;
const int chroma_index = (x / 2) + (y / 2) * (LCU_WIDTH / 2);
const lcu_yuv_t *from = &work_tree[depth + 1].rec;
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lcu_yuv_t *to = &work_tree[depth].rec;
const lcu_coeff_t *from_coeff = &work_tree[depth + 1].coeff;
lcu_coeff_t *to_coeff = &work_tree[depth].coeff;
pixels_blit(&from->y[luma_index], &to->y[luma_index],
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width_px, width_px, LCU_WIDTH, LCU_WIDTH);
pixels_blit(&from->u[chroma_index], &to->u[chroma_index],
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width_px / 2, width_px / 2, LCU_WIDTH / 2, LCU_WIDTH / 2);
pixels_blit(&from->v[chroma_index], &to->v[chroma_index],
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width_px / 2, width_px / 2, LCU_WIDTH / 2, LCU_WIDTH / 2);
// Copy coefficients up. They do not have to be copied down because they
// are not used for the search.
coefficients_blit(&from_coeff->y[luma_index], &to_coeff->y[luma_index],
width_px, width_px, LCU_WIDTH, LCU_WIDTH);
coefficients_blit(&from_coeff->u[chroma_index], &to_coeff->u[chroma_index],
width_px / 2, width_px / 2, LCU_WIDTH / 2, LCU_WIDTH / 2);
coefficients_blit(&from_coeff->v[chroma_index], &to_coeff->v[chroma_index],
width_px / 2, width_px / 2, LCU_WIDTH / 2, LCU_WIDTH / 2);
2014-02-26 13:09:18 +00:00
}
}
/**
* Copy all non-reference CU data from depth to depth+1..MAX_PU_DEPTH.
*/
static void work_tree_copy_down(int x_px, int y_px, int depth, lcu_t work_tree[MAX_PU_DEPTH + 1])
{
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// TODO: clean up to remove the copy pasta
const int width_px = LCU_WIDTH >> depth;
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int d;
for (d = depth + 1; d < MAX_PU_DEPTH + 1; ++d) {
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const int x_cu = SUB_SCU(x_px) >> MAX_DEPTH;
const int y_cu = SUB_SCU(y_px) >> MAX_DEPTH;
const int width_cu = width_px >> MAX_DEPTH;
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int x, y;
for (y = y_cu; y < y_cu + width_cu; ++y) {
for (x = x_cu; x < x_cu + width_cu; ++x) {
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const cu_info_t *from_cu = &work_tree[depth].cu[LCU_CU_OFFSET + x + y * LCU_T_CU_WIDTH];
cu_info_t *to_cu = &work_tree[d].cu[LCU_CU_OFFSET + x + y * LCU_T_CU_WIDTH];
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memcpy(to_cu, from_cu, sizeof(*to_cu));
}
}
}
// Copy reconstructed pixels.
for (d = depth + 1; d < MAX_PU_DEPTH + 1; ++d) {
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const int x = SUB_SCU(x_px);
const int y = SUB_SCU(y_px);
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const int luma_index = x + y * LCU_WIDTH;
const int chroma_index = (x / 2) + (y / 2) * (LCU_WIDTH / 2);
lcu_yuv_t *from = &work_tree[depth].rec;
lcu_yuv_t *to = &work_tree[d].rec;
pixels_blit(&from->y[luma_index], &to->y[luma_index],
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width_px, width_px, LCU_WIDTH, LCU_WIDTH);
pixels_blit(&from->u[chroma_index], &to->u[chroma_index],
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width_px / 2, width_px / 2, LCU_WIDTH / 2, LCU_WIDTH / 2);
pixels_blit(&from->v[chroma_index], &to->v[chroma_index],
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width_px / 2, width_px / 2, LCU_WIDTH / 2, LCU_WIDTH / 2);
}
}
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static void lcu_set_trdepth(lcu_t *lcu, int x_px, int y_px, int depth, int tr_depth)
{
const int width_cu = LCU_CU_WIDTH >> depth;
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const vector2d_t lcu_cu = { (x_px & (LCU_WIDTH - 1)) / 8, (y_px & (LCU_WIDTH - 1)) / 8 };
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cu_info_t *const cur_cu = &lcu->cu[lcu_cu.x + lcu_cu.y * LCU_T_CU_WIDTH + LCU_CU_OFFSET];
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int x, y;
// Depth 4 doesn't go inside the loop. Set the top-left CU.
cur_cu->tr_depth = tr_depth;
for (y = 0; y < width_cu; ++y) {
for (x = 0; x < width_cu; ++x) {
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cu_info_t *cu = &cur_cu[x + y * LCU_T_CU_WIDTH];
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cu->tr_depth = tr_depth;
}
}
}
static void lcu_set_intra_mode(lcu_t *lcu, int x_px, int y_px, int depth, int pred_mode, int chroma_mode, int part_mode)
2014-02-27 11:02:24 +00:00
{
const int width_cu = LCU_CU_WIDTH >> depth;
const int x_cu = SUB_SCU(x_px) >> MAX_DEPTH;
const int y_cu = SUB_SCU(y_px) >> MAX_DEPTH;
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cu_info_t *const lcu_cu = &lcu->cu[LCU_CU_OFFSET];
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int x, y;
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// NxN can only be applied to a single CU at a time.
if (part_mode == SIZE_NxN) {
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cu_info_t *cu = &lcu_cu[x_cu + y_cu * LCU_T_CU_WIDTH];
cu->depth = MAX_DEPTH;
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cu->type = CU_INTRA;
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cu->intra[PU_INDEX(x_px / 4, y_px / 4)].mode = pred_mode;
cu->intra[PU_INDEX(x_px / 4, y_px / 4)].mode_chroma = chroma_mode;
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cu->part_size = part_mode;
return;
}
// Set mode in every CU covered by part_mode in this depth.
for (y = y_cu; y < y_cu + width_cu; ++y) {
for (x = x_cu; x < x_cu + width_cu; ++x) {
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cu_info_t *cu = &lcu_cu[x + y * LCU_T_CU_WIDTH];
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cu->depth = depth;
cu->type = CU_INTRA;
cu->intra[0].mode = pred_mode;
cu->intra[1].mode = pred_mode;
cu->intra[2].mode = pred_mode;
cu->intra[3].mode = pred_mode;
cu->intra[0].mode_chroma = chroma_mode;
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cu->part_size = part_mode;
cu->coded = 1;
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}
}
}
2014-03-06 16:14:01 +00:00
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static void lcu_set_inter(lcu_t *lcu, int x_px, int y_px, int depth, cu_info_t *cur_cu)
{
const int width_cu = LCU_CU_WIDTH >> depth;
const int x_cu = SUB_SCU(x_px) >> MAX_DEPTH;
const int y_cu = SUB_SCU(y_px) >> MAX_DEPTH;
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cu_info_t *const lcu_cu = &lcu->cu[LCU_CU_OFFSET];
int x, y;
// Set mode in every CU covered by part_mode in this depth.
for (y = y_cu; y < y_cu + width_cu; ++y) {
for (x = x_cu; x < x_cu + width_cu; ++x) {
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cu_info_t *cu = &lcu_cu[x + y * LCU_T_CU_WIDTH];
//Check if this could be moved inside the if
cu->coded = 1;
if (cu != cur_cu) {
cu->depth = cur_cu->depth;
cu->type = CU_INTER;
cu->tr_depth = cur_cu->tr_depth;
cu->merged = cur_cu->merged;
cu->skipped = cur_cu->skipped;
memcpy(&cu->inter, &cur_cu->inter, sizeof(cur_cu->inter));
}
}
}
}
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static void lcu_set_coeff(lcu_t *lcu, int x_px, int y_px, int depth, cu_info_t *cur_cu)
{
const int width_cu = LCU_CU_WIDTH >> depth;
const int x_cu = SUB_SCU(x_px) >> MAX_DEPTH;
const int y_cu = SUB_SCU(y_px) >> MAX_DEPTH;
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cu_info_t *const lcu_cu = &lcu->cu[LCU_CU_OFFSET];
int x, y;
int tr_split = cur_cu->tr_depth-cur_cu->depth;
// Set coeff flags in every CU covered by part_mode in this depth.
for (y = y_cu; y < y_cu + width_cu; ++y) {
for (x = x_cu; x < x_cu + width_cu; ++x) {
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cu_info_t *cu = &lcu_cu[x + y * LCU_T_CU_WIDTH];
// Use TU top-left CU to propagate coeff flags
uint32_t mask = ~((width_cu>>tr_split)-1);
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cu_info_t *cu_from = &lcu_cu[(x & mask) + (y & mask) * LCU_T_CU_WIDTH];
if (cu != cu_from) {
// Chroma coeff data is not used, luma is needed for deblocking
cu->cbf.y = cu_from->cbf.y;
}
}
}
}
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/**
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* Calculate RD cost for a Coding Unit.
* \return Cost of block
* \param ref_cu CU used for prediction parameters.
*
* Calculates the RDO cost of a single CU that will not be split further.
* Takes into account SSD of reconstruction and the cost of encoding whatever
* prediction unit data needs to be coded.
*/
static double cu_rd_cost_luma(const encoder_state_t *const state,
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const int x_px, const int y_px, const int depth,
const cu_info_t *const pred_cu,
lcu_t *const lcu)
{
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const int width = LCU_WIDTH >> depth;
const uint8_t pu_index = PU_INDEX(x_px / 4, y_px / 4);
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// cur_cu is used for TU parameters.
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cu_info_t *const tr_cu = &lcu->cu[LCU_CU_OFFSET + (x_px / 8) + (y_px / 8) * LCU_T_CU_WIDTH];
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double coeff_bits = 0;
double tr_tree_bits = 0;
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// Check that lcu is not in
assert(x_px >= 0 && x_px < LCU_WIDTH);
assert(y_px >= 0 && y_px < LCU_WIDTH);
const uint8_t tr_depth = tr_cu->tr_depth - depth;
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// Add transform_tree split_transform_flag bit cost.
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bool intra_split_flag = pred_cu->type == CU_INTRA && pred_cu->part_size == SIZE_NxN && depth == 3;
if (width <= TR_MAX_WIDTH
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&& width > TR_MIN_WIDTH
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&& !intra_split_flag)
{
const cabac_ctx_t *ctx = &(state->cabac.ctx.trans_subdiv_model[5 - (6 - depth)]);
tr_tree_bits += CTX_ENTROPY_FBITS(ctx, tr_depth > 0);
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}
if (tr_depth > 0) {
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int offset = width / 2;
double sum = 0;
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sum += cu_rd_cost_luma(state, x_px, y_px, depth + 1, pred_cu, lcu);
sum += cu_rd_cost_luma(state, x_px + offset, y_px, depth + 1, pred_cu, lcu);
sum += cu_rd_cost_luma(state, x_px, y_px + offset, depth + 1, pred_cu, lcu);
sum += cu_rd_cost_luma(state, x_px + offset, y_px + offset, depth + 1, pred_cu, lcu);
return sum + tr_tree_bits * state->global->cur_lambda_cost;
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}
// Add transform_tree cbf_luma bit cost.
if (pred_cu->type == CU_INTRA ||
tr_depth > 0 ||
cbf_is_set(tr_cu->cbf.u, depth) ||
cbf_is_set(tr_cu->cbf.v, depth))
{
const cabac_ctx_t *ctx = &(state->cabac.ctx.qt_cbf_model_luma[!tr_depth]);
tr_tree_bits += CTX_ENTROPY_FBITS(ctx, cbf_is_set(pred_cu->cbf.y, depth + pu_index));
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}
unsigned ssd = 0;
// SSD between reconstruction and original
for (int y = y_px; y < y_px + width; ++y) {
for (int x = x_px; x < x_px + width; ++x) {
int diff = (int)lcu->rec.y[y * LCU_WIDTH + x] - (int)lcu->ref.y[y * LCU_WIDTH + x];
ssd += diff*diff;
}
}
{
coeff_t coeff_temp[32 * 32];
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int8_t luma_scan_mode = get_scan_order(pred_cu->type, pred_cu->intra[PU_INDEX(x_px / 4, y_px / 4)].mode, depth);
// Code coeffs using cabac to get a better estimate of real coding costs.
coefficients_blit(&lcu->coeff.y[(y_px*LCU_WIDTH) + x_px], coeff_temp, width, width, LCU_WIDTH, width);
coeff_bits += get_coeff_cost(state, coeff_temp, width, 0, luma_scan_mode);
}
double bits = tr_tree_bits + coeff_bits;
return (double)ssd * LUMA_MULT + bits * state->global->cur_lambda_cost;
}
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static double cu_rd_cost_chroma(const encoder_state_t *const state,
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const int x_px, const int y_px, const int depth,
const cu_info_t *const pred_cu,
lcu_t *const lcu)
{
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const vector2d_t lcu_px = { x_px / 2, y_px / 2 };
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const int width = (depth <= MAX_DEPTH) ? LCU_WIDTH >> (depth + 1) : LCU_WIDTH >> depth;
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cu_info_t *const tr_cu = &lcu->cu[LCU_CU_OFFSET + (lcu_px.x / 4) + (lcu_px.y / 4)*LCU_T_CU_WIDTH];
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double tr_tree_bits = 0;
double coeff_bits = 0;
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assert(x_px >= 0 && x_px < LCU_WIDTH);
assert(y_px >= 0 && y_px < LCU_WIDTH);
if (PU_INDEX(x_px / 4, y_px / 4) != 0) {
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// For MAX_PU_DEPTH calculate chroma for previous depth for the first
// block and return 0 cost for all others.
return 0;
}
if (depth < MAX_PU_DEPTH) {
const int tr_depth = depth - pred_cu->depth;
const cabac_ctx_t *ctx = &(state->cabac.ctx.qt_cbf_model_chroma[tr_depth]);
if (tr_depth == 0 || cbf_is_set(pred_cu->cbf.u, depth - 1)) {
tr_tree_bits += CTX_ENTROPY_FBITS(ctx, cbf_is_set(pred_cu->cbf.u, depth));
}
if (tr_depth == 0 || cbf_is_set(pred_cu->cbf.v, depth - 1)) {
tr_tree_bits += CTX_ENTROPY_FBITS(ctx, cbf_is_set(pred_cu->cbf.v, depth));
}
}
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if (tr_cu->tr_depth > depth) {
int offset = LCU_WIDTH >> (depth + 1);
int sum = 0;
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sum += cu_rd_cost_chroma(state, x_px, y_px, depth + 1, pred_cu, lcu);
sum += cu_rd_cost_chroma(state, x_px + offset, y_px, depth + 1, pred_cu, lcu);
sum += cu_rd_cost_chroma(state, x_px, y_px + offset, depth + 1, pred_cu, lcu);
sum += cu_rd_cost_chroma(state, x_px + offset, y_px + offset, depth + 1, pred_cu, lcu);
return sum + tr_tree_bits * state->global->cur_lambda_cost;
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}
// Chroma SSD
int ssd = 0;
for (int y = lcu_px.y; y < lcu_px.y + width; ++y) {
for (int x = lcu_px.x; x < lcu_px.x + width; ++x) {
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int diff = (int)lcu->rec.u[y * LCU_WIDTH_C + x] - (int)lcu->ref.u[y * LCU_WIDTH_C + x];
ssd += diff * diff;
}
}
for (int y = lcu_px.y; y < lcu_px.y + width; ++y) {
for (int x = lcu_px.x; x < lcu_px.x + width; ++x) {
int diff = (int)lcu->rec.v[y * LCU_WIDTH_C + x] - (int)lcu->ref.v[y * LCU_WIDTH_C + x];
ssd += diff * diff;
}
}
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{
coeff_t coeff_temp[16 * 16];
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int8_t scan_order = get_scan_order(pred_cu->type, pred_cu->intra[0].mode_chroma, depth);
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coefficients_blit(&lcu->coeff.u[(lcu_px.y*(LCU_WIDTH_C)) + lcu_px.x],
coeff_temp, width, width, LCU_WIDTH_C, width);
coeff_bits += get_coeff_cost(state, coeff_temp, width, 2, scan_order);
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coefficients_blit(&lcu->coeff.v[(lcu_px.y*(LCU_WIDTH_C)) + lcu_px.x],
coeff_temp, width, width, LCU_WIDTH_C, width);
coeff_bits += get_coeff_cost(state, coeff_temp, width, 2, scan_order);
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}
double bits = tr_tree_bits + coeff_bits;
return (double)ssd * CHROMA_MULT + bits * state->global->cur_lambda_cost;
}
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/**
* \brief Perform search for best intra transform split configuration.
*
* This function does a recursive search for the best intra transform split
* configuration for a given intra prediction mode.
*
* \return RD cost of best transform split configuration. Splits in lcu->cu.
* \param depth Current transform depth.
* \param max_depth Depth to which TR split will be tried.
* \param intra_mode Intra prediction mode.
* \param cost_treshold RD cost at which search can be stopped.
*/
static double search_intra_trdepth(encoder_state_t * const state,
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int x_px, int y_px, int depth, int max_depth,
int intra_mode, int cost_treshold,
cu_info_t *const pred_cu,
lcu_t *const lcu)
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{
const int width = LCU_WIDTH >> depth;
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const int width_c = width > TR_MIN_WIDTH ? width / 2 : width;
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const int offset = width / 2;
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const vector2d_t lcu_px = { x_px & 0x3f, y_px & 0x3f };
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cu_info_t *const tr_cu = &lcu->cu[LCU_CU_OFFSET + (lcu_px.x >> 3) + (lcu_px.y >> 3)*LCU_T_CU_WIDTH];
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const bool reconstruct_chroma = !(x_px & 4 || y_px & 4);
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struct {
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pixel_t y[TR_MAX_WIDTH*TR_MAX_WIDTH];
pixel_t u[TR_MAX_WIDTH*TR_MAX_WIDTH];
pixel_t v[TR_MAX_WIDTH*TR_MAX_WIDTH];
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} nosplit_pixels;
cu_cbf_t nosplit_cbf;
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double split_cost = INT32_MAX;
double nosplit_cost = INT32_MAX;
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assert(width >= TR_MIN_WIDTH);
if (depth > 0) {
tr_cu->tr_depth = depth;
pred_cu->tr_depth = depth;
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nosplit_cost = 0.0;
cbf_clear(&pred_cu->cbf.y, depth + PU_INDEX(x_px / 4, y_px / 4));
intra_recon_lcu_luma(state, x_px, y_px, depth, intra_mode, pred_cu, lcu);
nosplit_cost += cu_rd_cost_luma(state, lcu_px.x, lcu_px.y, depth, pred_cu, lcu);
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if (reconstruct_chroma) {
cbf_clear(&pred_cu->cbf.u, depth);
cbf_clear(&pred_cu->cbf.v, depth);
intra_recon_lcu_chroma(state, x_px, y_px, depth, intra_mode, pred_cu, lcu);
nosplit_cost += cu_rd_cost_chroma(state, lcu_px.x, lcu_px.y, depth, pred_cu, lcu);
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}
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// Early stop codition for the recursive search.
// If the cost of any 1/4th of the transform is already larger than the
// whole transform, assume that splitting further is a bad idea.
if (nosplit_cost >= cost_treshold) {
return nosplit_cost;
}
nosplit_cbf = pred_cu->cbf;
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pixels_blit(lcu->rec.y, nosplit_pixels.y, width, width, LCU_WIDTH, width);
if (reconstruct_chroma) {
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pixels_blit(lcu->rec.u, nosplit_pixels.u, width_c, width_c, LCU_WIDTH_C, width_c);
pixels_blit(lcu->rec.v, nosplit_pixels.v, width_c, width_c, LCU_WIDTH_C, width_c);
}
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}
// Recurse further if all of the following:
// - Current depth is less than maximum depth of the search (max_depth).
// - Maximum transform hierarchy depth is constrained by clipping
// max_depth.
// - Min transform size hasn't been reached (MAX_PU_DEPTH).
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if (depth < max_depth && depth < MAX_PU_DEPTH) {
split_cost = 3 * state->global->cur_lambda_cost;
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split_cost += search_intra_trdepth(state, x_px, y_px, depth + 1, max_depth, intra_mode, nosplit_cost, pred_cu, lcu);
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if (split_cost < nosplit_cost) {
split_cost += search_intra_trdepth(state, x_px + offset, y_px, depth + 1, max_depth, intra_mode, nosplit_cost, pred_cu, lcu);
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}
if (split_cost < nosplit_cost) {
split_cost += search_intra_trdepth(state, x_px, y_px + offset, depth + 1, max_depth, intra_mode, nosplit_cost, pred_cu, lcu);
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}
if (split_cost < nosplit_cost) {
split_cost += search_intra_trdepth(state, x_px + offset, y_px + offset, depth + 1, max_depth, intra_mode, nosplit_cost, pred_cu, lcu);
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}
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double tr_split_bit = 0.0;
double cbf_bits = 0.0;
// Add bits for split_transform_flag = 1, because transform depth search bypasses
// the normal recursion in the cost functions.
if (depth >= 1 && depth <= 3) {
const cabac_ctx_t *ctx = &(state->cabac.ctx.trans_subdiv_model[5 - (6 - depth)]);
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tr_split_bit += CTX_ENTROPY_FBITS(ctx, 1);
}
// Add cost of cbf chroma bits on transform tree.
// All cbf bits are accumulated to pred_cu.cbf and cbf_is_set returns true
// if cbf is set at any level >= depth, so cbf chroma is assumed to be 0
// if this and any previous transform block has no chroma coefficients.
// When searching the first block we don't actually know the real values,
// so this will code cbf as 0 and not code the cbf at all for descendants.
{
const uint8_t tr_depth = depth - pred_cu->depth;
const cabac_ctx_t *ctx = &(state->cabac.ctx.qt_cbf_model_chroma[tr_depth]);
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if (tr_depth == 0 || cbf_is_set(pred_cu->cbf.u, depth - 1)) {
cbf_bits += CTX_ENTROPY_FBITS(ctx, cbf_is_set(pred_cu->cbf.u, depth));
}
if (tr_depth == 0 || cbf_is_set(pred_cu->cbf.v, depth - 1)) {
cbf_bits += CTX_ENTROPY_FBITS(ctx, cbf_is_set(pred_cu->cbf.v, depth));
}
}
double bits = tr_split_bit + cbf_bits;
split_cost += bits * state->global->cur_lambda_cost;
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} else {
assert(width <= TR_MAX_WIDTH);
}
if (depth == 0 || split_cost < nosplit_cost) {
return split_cost;
} else {
lcu_set_trdepth(lcu, x_px, y_px, depth, depth);
pred_cu->cbf = nosplit_cbf;
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// We only restore the pixel data and not coefficients or cbf data.
// The only thing we really need are the border pixels.intra_get_dir_luma_predictor
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pixels_blit(nosplit_pixels.y, lcu->rec.y, width, width, width, LCU_WIDTH);
if (reconstruct_chroma) {
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pixels_blit(nosplit_pixels.u, lcu->rec.u, width_c, width_c, width_c, LCU_WIDTH_C);
pixels_blit(nosplit_pixels.v, lcu->rec.v, width_c, width_c, width_c, LCU_WIDTH_C);
}
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return nosplit_cost;
}
}
static double luma_mode_bits(const encoder_state_t *state, int8_t luma_mode, const int8_t *intra_preds)
{
double mode_bits;
bool mode_in_preds = false;
for (int i = 0; i < 3; ++i) {
if (luma_mode == intra_preds[i]) {
mode_in_preds = true;
}
}
const cabac_ctx_t *ctx = &(state->cabac.ctx.intra_mode_model);
mode_bits = CTX_ENTROPY_FBITS(ctx, mode_in_preds);
if (mode_in_preds) {
mode_bits += ((luma_mode == intra_preds[0]) ? 1 : 2);
} else {
mode_bits += 5;
}
return mode_bits;
}
static double chroma_mode_bits(const encoder_state_t *state, int8_t chroma_mode, int8_t luma_mode)
{
const cabac_ctx_t *ctx = &(state->cabac.ctx.chroma_pred_model[0]);
double mode_bits;
if (chroma_mode == luma_mode) {
mode_bits = CTX_ENTROPY_FBITS(ctx, 0);
} else {
mode_bits = 2.0 + CTX_ENTROPY_FBITS(ctx, 1);
}
return mode_bits;
}
static int8_t search_intra_chroma(encoder_state_t * const state,
int x_px, int y_px, int depth,
int8_t intra_mode,
int8_t modes[5], int8_t num_modes,
lcu_t *const lcu)
{
const bool reconstruct_chroma = !(x_px & 4 || y_px & 4);
if (reconstruct_chroma) {
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const vector2d_t lcu_px = { x_px & 0x3f, y_px & 0x3f };
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cu_info_t *const tr_cu = &lcu->cu[LCU_CU_OFFSET + (lcu_px.x >> 3) + (lcu_px.y >> 3)*LCU_T_CU_WIDTH];
struct {
double cost;
int8_t mode;
} chroma, best_chroma;
best_chroma.mode = 0;
best_chroma.cost = MAX_INT;
for (int8_t chroma_mode_i = 0; chroma_mode_i < num_modes; ++chroma_mode_i) {
chroma.mode = modes[chroma_mode_i];
intra_recon_lcu_chroma(state, x_px, y_px, depth, chroma.mode, NULL, lcu);
chroma.cost = cu_rd_cost_chroma(state, lcu_px.x, lcu_px.y, depth, tr_cu, lcu);
double mode_bits = chroma_mode_bits(state, chroma.mode, intra_mode);
chroma.cost += mode_bits * state->global->cur_lambda_cost;
if (chroma.cost < best_chroma.cost) {
best_chroma = chroma;
}
}
return best_chroma.mode;
}
return 100;
}
/**
* \brief Sort modes and costs to ascending order according to costs.
*/
static INLINE void sort_modes(int8_t *__restrict modes, double *__restrict costs, uint8_t length)
{
// Length is always between 5 and 23, and is either 21, 17, 9 or 8 about
// 60% of the time, so there should be no need for anything more complex
// than insertion sort.
for (uint8_t i = 1; i < length; ++i) {
const double cur_cost = costs[i];
const int8_t cur_mode = modes[i];
uint8_t j = i;
while (j > 0 && cur_cost < costs[j - 1]) {
costs[j] = costs[j - 1];
modes[j] = modes[j - 1];
--j;
}
costs[j] = cur_cost;
modes[j] = cur_mode;
}
}
/**
* \brief Select mode with the smallest cost.
*/
static INLINE int8_t select_best_mode(const int8_t *modes, const double *costs, uint8_t length)
{
double best_mode = modes[0];
double best_cost = costs[0];
for (uint8_t i = 1; i < length; ++i) {
if (costs[i] < best_cost) {
best_cost = costs[i];
best_mode = modes[i];
}
}
return best_mode;
}
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/**
* \brief Calculate quality of the reconstruction.
*
* \param pred Predicted pixels in continous memory.
* \param orig_block Orignal (target) pixels in continous memory.
* \param satd_func SATD function for this block size.
* \param sad_func SAD function this block size.
* \param width Pixel width of the block.
*
* \return Estimated RD cost of the reconstruction and signaling the
* coefficients of the residual.
*/
static double get_cost(encoder_state_t * const state,
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pixel_t *pred, pixel_t *orig_block,
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cost_pixel_nxn_func *satd_func,
cost_pixel_nxn_func *sad_func,
int width)
{
double satd_cost = satd_func(pred, orig_block);
if (TRSKIP_RATIO != 0 && width == 4) {
// If the mode looks better with SAD than SATD it might be a good
// candidate for transform skip. How much better SAD has to be is
// controlled by TRSKIP_RATIO.
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// Add the offset bit costs of signaling 'luma and chroma use trskip',
// versus signaling 'luma and chroma don't use trskip' to the SAD cost.
const cabac_ctx_t *ctx = &state->cabac.ctx.transform_skip_model_luma;
2014-10-13 07:48:39 +00:00
double trskip_bits = CTX_ENTROPY_FBITS(ctx, 1) - CTX_ENTROPY_FBITS(ctx, 0);
ctx = &state->cabac.ctx.transform_skip_model_chroma;
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trskip_bits += 2.0 * (CTX_ENTROPY_FBITS(ctx, 1) - CTX_ENTROPY_FBITS(ctx, 0));
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double sad_cost = TRSKIP_RATIO * sad_func(pred, orig_block) + state->global->cur_lambda_cost_sqrt * trskip_bits;
if (sad_cost < satd_cost) {
return sad_cost;
}
}
return satd_cost;
}
static void search_intra_chroma_rough(encoder_state_t * const state,
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int x_px, int y_px, int depth,
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const pixel_t *orig_u, const pixel_t *orig_v, int16_t origstride,
const pixel_t *rec_u, const pixel_t *rec_v, int16_t recstride,
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int8_t luma_mode,
int8_t modes[5], double costs[5])
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{
const bool reconstruct_chroma = !(x_px & 4 || y_px & 4);
if (!reconstruct_chroma) return;
const unsigned width = MAX(LCU_WIDTH_C >> depth, TR_MIN_WIDTH);
for (int i = 0; i < 5; ++i) {
costs[i] = 0;
}
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cost_pixel_nxn_func *const satd_func = pixels_get_satd_func(width);
//cost_pixel_nxn_func *const sad_func = pixels_get_sad_func(width);
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pixel_t _pred[LCU_WIDTH * LCU_WIDTH + 1 + SIMD_ALIGNMENT];
pixel_t *pred = ALIGNED_POINTER(_pred, SIMD_ALIGNMENT);
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pixel_t _orig_block[LCU_WIDTH * LCU_WIDTH + 1 + SIMD_ALIGNMENT];
pixel_t *orig_block = ALIGNED_POINTER(_orig_block, SIMD_ALIGNMENT);
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pixels_blit(orig_u, orig_block, width, width, origstride, width);
for (int i = 0; i < 5; ++i) {
if (modes[i] == luma_mode) continue;
intra_get_pred(state->encoder_control, rec_u, NULL, recstride, pred, width, modes[i], 1);
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//costs[i] += get_cost(encoder_state, pred, orig_block, satd_func, sad_func, width);
costs[i] += satd_func(pred, orig_block);
}
pixels_blit(orig_v, orig_block, width, width, origstride, width);
for (int i = 0; i < 5; ++i) {
if (modes[i] == luma_mode) continue;
intra_get_pred(state->encoder_control, rec_v, NULL, recstride, pred, width, modes[i], 2);
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//costs[i] += get_cost(encoder_state, pred, orig_block, satd_func, sad_func, width);
costs[i] += satd_func(pred, orig_block);
}
sort_modes(modes, costs, 5);
}
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/**
* \brief Order the intra prediction modes according to a fast criteria.
*
* This function uses SATD to order the intra prediction modes. For 4x4 modes
* SAD might be used instead, if the cost given by SAD is much better than the
* one given by SATD, to take into account that 4x4 modes can be coded with
* transform skip.
*
* The modes are searched using halving search and the total number of modes
* that are tried is dependent on size of the predicted block. More modes
* are tried for smaller blocks.
*
* \param orig Pointer to the top-left corner of current CU in the picture
* being encoded.
* \param orig_stride Stride of param orig.
* \param rec Pointer to the top-left corner of current CU in the picture
* being encoded.
* \param rec_stride Stride of param rec.
* \param width Width of the prediction block.
* \param intra_preds Array of the 3 predicted intra modes.
*
* \param[out] modes The modes ordered according to their RD costs, from best
* to worst. The number of modes and costs output is given by parameter
* modes_to_check.
* \param[out] costs The RD costs of corresponding modes in param modes.
*
* \return Number of prediction modes in param modes.
*/
static int8_t search_intra_rough(encoder_state_t * const state,
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pixel_t *orig, int32_t origstride,
pixel_t *rec, int16_t recstride,
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int width, int8_t *intra_preds,
int8_t modes[35], double costs[35])
{
cost_pixel_nxn_func *satd_func = pixels_get_satd_func(width);
cost_pixel_nxn_func *sad_func = pixels_get_sad_func(width);
// Temporary block arrays
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pixel_t _pred[LCU_WIDTH * LCU_WIDTH + 1 + SIMD_ALIGNMENT];
pixel_t *pred = ALIGNED_POINTER(_pred, SIMD_ALIGNMENT);
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pixel_t _orig_block[LCU_WIDTH * LCU_WIDTH + 1 + SIMD_ALIGNMENT];
pixel_t *orig_block = ALIGNED_POINTER(_orig_block, SIMD_ALIGNMENT);
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pixel_t rec_filtered_temp[(LCU_WIDTH * 2 + 8) * (LCU_WIDTH * 2 + 8) + 1];
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pixel_t *recf = &rec_filtered_temp[recstride + 1];
assert(width == 4 || width == 8 || width == 16 || width == 32);
// Store original block for SAD computation
pixels_blit(orig, orig_block, width, width, origstride, width);
// Generate filtered reference pixels.
{
int16_t x, y;
for (y = -1; y < recstride; y++) {
recf[y*recstride - 1] = rec[y*recstride - 1];
}
for (x = 0; x < recstride; x++) {
recf[x - recstride] = rec[x - recstride];
}
intra_filter(recf, recstride, width, 0);
}
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int8_t modes_selected = 0;
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unsigned min_cost = UINT_MAX;
unsigned max_cost = 0;
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// Initial offset decides how many modes are tried before moving on to the
// recursive search.
int offset;
if (state->encoder_control->full_intra_search) {
offset = 1;
} else if (width == 4) {
offset = 2;
} else if (width == 8) {
offset = 4;
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} else {
offset = 8;
}
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// Calculate SAD for evenly spaced modes to select the starting point for
// the recursive search.
for (int mode = 2; mode <= 34; mode += offset) {
intra_get_pred(state->encoder_control, rec, recf, recstride, pred, width, mode, 0);
costs[modes_selected] = get_cost(state, pred, orig_block, satd_func, sad_func, width);
modes[modes_selected] = mode;
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min_cost = MIN(min_cost, costs[modes_selected]);
max_cost = MAX(max_cost, costs[modes_selected]);
++modes_selected;
}
int8_t best_mode = select_best_mode(modes, costs, modes_selected);
double best_cost = min_cost;
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// Skip recursive search if all modes have the same cost.
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if (min_cost != max_cost) {
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// Do a recursive search to find the best mode, always centering on the
// current best mode.
while (offset > 1) {
offset >>= 1;
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int8_t center_node = best_mode;
int8_t mode = center_node - offset;
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if (mode >= 2) {
intra_get_pred(state->encoder_control, rec, recf, recstride, pred, width, mode, 0);
costs[modes_selected] = get_cost(state, pred, orig_block, satd_func, sad_func, width);
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modes[modes_selected] = mode;
if (costs[modes_selected] < best_cost) {
best_cost = costs[modes_selected];
best_mode = modes[modes_selected];
}
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++modes_selected;
}
mode = center_node + offset;
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if (mode <= 34) {
intra_get_pred(state->encoder_control, rec, recf, recstride, pred, width, mode, 0);
costs[modes_selected] = get_cost(state, pred, orig_block, satd_func, sad_func, width);
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modes[modes_selected] = mode;
if (costs[modes_selected] < best_cost) {
best_cost = costs[modes_selected];
best_mode = modes[modes_selected];
}
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++modes_selected;
}
}
}
int8_t add_modes[5] = {intra_preds[0], intra_preds[1], intra_preds[2], 0, 1};
// Add DC, planar and missing predicted modes.
for (int8_t pred_i = 0; pred_i < 5; ++pred_i) {
bool has_mode = false;
int8_t mode = add_modes[pred_i];
for (int mode_i = 0; mode_i < modes_selected; ++mode_i) {
if (modes[mode_i] == add_modes[pred_i]) {
has_mode = true;
break;
}
}
if (!has_mode) {
intra_get_pred(state->encoder_control, rec, recf, recstride, pred, width, mode, 0);
costs[modes_selected] = get_cost(state, pred, orig_block, satd_func, sad_func, width);
modes[modes_selected] = mode;
++modes_selected;
}
}
// Add prediction mode coding cost as the last thing. We don't want this
// affecting the halving search.
int lambda_cost = (int)(state->global->cur_lambda_cost_sqrt + 0.5);
for (int mode_i = 0; mode_i < modes_selected; ++mode_i) {
costs[mode_i] += lambda_cost * luma_mode_bits(state, modes[mode_i], intra_preds);
}
return modes_selected;
}
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/**
* \brief Find best intra mode out of the ones listed in parameter modes.
*
* This function perform intra search by doing full quantization,
* reconstruction and CABAC coding of coefficients. It is very slow
* but results in better RD quality than using just the rough search.
*
* \param x_px Luma picture coordinate.
* \param y_px Luma picture coordinate.
* \param orig Pointer to the top-left corner of current CU in the picture
* being encoded.
* \param orig_stride Stride of param orig.
* \param rec Pointer to the top-left corner of current CU in the picture
* being encoded.
* \param rec_stride Stride of param rec.
* \param intra_preds Array of the 3 predicted intra modes.
* \param modes_to_check How many of the modes in param modes are checked.
* \param[in] modes The intra prediction modes that are to be checked.
*
* \param[out] modes The modes ordered according to their RD costs, from best
* to worst. The number of modes and costs output is given by parameter
* modes_to_check.
* \param[out] costs The RD costs of corresponding modes in param modes.
* \param[out] lcu If transform split searching is used, the transform split
* information for the best mode is saved in lcu.cu structure.
*/
static int8_t search_intra_rdo(encoder_state_t * const state,
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int x_px, int y_px, int depth,
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pixel_t *orig, int32_t origstride,
pixel_t *rec, int16_t recstride,
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int8_t *intra_preds,
int modes_to_check,
int8_t modes[35], double costs[35],
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lcu_t *lcu)
{
const int tr_depth = CLIP(1, MAX_PU_DEPTH, depth + state->encoder_control->tr_depth_intra);
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const int width = LCU_WIDTH >> depth;
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pixel_t pred[LCU_WIDTH * LCU_WIDTH + 1];
pixel_t orig_block[LCU_WIDTH * LCU_WIDTH + 1];
int rdo_mode;
int pred_mode;
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pixel_t rec_filtered_temp[(LCU_WIDTH * 2 + 8) * (LCU_WIDTH * 2 + 8) + 1];
pixel_t *recf = &rec_filtered_temp[recstride + 1];
// Generate filtered reference pixels.
{
int x, y;
for (y = -1; y < recstride; y++) {
recf[y*recstride - 1] = rec[y*recstride - 1];
}
for (x = 0; x < recstride; x++) {
recf[x - recstride] = rec[x - recstride];
}
intra_filter(recf, recstride, width, 0);
}
pixels_blit(orig, orig_block, width, width, origstride, width);
// Check that the predicted modes are in the RDO mode list
for(pred_mode = 0; pred_mode < 3; pred_mode++) {
int mode_found = 0;
for(rdo_mode = 0; rdo_mode < modes_to_check; rdo_mode ++) {
if(intra_preds[pred_mode] == modes[rdo_mode]) {
mode_found = 1;
break;
}
}
// Add this prediction mode to RDO checking
if(!mode_found) {
modes[modes_to_check] = intra_preds[pred_mode];
modes_to_check++;
}
}
for(rdo_mode = 0; rdo_mode < modes_to_check; rdo_mode ++) {
int rdo_bitcost = luma_mode_bits(state, modes[rdo_mode], intra_preds);
costs[rdo_mode] = rdo_bitcost * (int)(state->global->cur_lambda_cost + 0.5);
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if (0 && width != 4 && tr_depth == depth) {
// This code path has been disabled for now because it increases bdrate
// by 1-2 %. Possibly due to not taking chroma into account during luma
// mode search. Enabling separate chroma search compensates a little,
// but not enough.
// The idea for this code path is, that it would do the same thing as
// the more general search_intra_trdepth, but would only handle cases
// where transform split or transform skip don't need to be handled.
intra_get_pred(state->encoder_control, rec, recf, recstride, pred, width, modes[rdo_mode], 0);
costs[rdo_mode] += rdo_cost_intra(state, pred, orig_block, width, modes[rdo_mode], width == 4 ? 1 : 0);
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} else {
// Perform transform split search and save mode RD cost for the best one.
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cu_info_t pred_cu;
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pred_cu.depth = depth;
pred_cu.type = CU_INTRA;
pred_cu.part_size = ((depth == MAX_PU_DEPTH) ? SIZE_NxN : SIZE_2Nx2N);
pred_cu.intra[0].mode = modes[rdo_mode];
pred_cu.intra[1].mode = modes[rdo_mode];
pred_cu.intra[2].mode = modes[rdo_mode];
pred_cu.intra[3].mode = modes[rdo_mode];
pred_cu.intra[0].mode_chroma = modes[rdo_mode];
FILL(pred_cu.cbf, 0);
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// Reset transform split data in lcu.cu for this area.
lcu_set_trdepth(lcu, x_px, y_px, depth, depth);
double mode_cost = search_intra_trdepth(state, x_px, y_px, depth, tr_depth, modes[rdo_mode], MAX_INT, &pred_cu, lcu);
costs[rdo_mode] += mode_cost;
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}
}
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// The best transform split hierarchy is not saved anywhere, so to get the
// transform split hierarchy the search has to be performed again with the
// best mode.
if (tr_depth != depth) {
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cu_info_t pred_cu;
pred_cu.depth = depth;
pred_cu.type = CU_INTRA;
pred_cu.part_size = ((depth == MAX_PU_DEPTH) ? SIZE_NxN : SIZE_2Nx2N);
pred_cu.intra[0].mode = modes[0];
pred_cu.intra[1].mode = modes[0];
pred_cu.intra[2].mode = modes[0];
pred_cu.intra[3].mode = modes[0];
pred_cu.intra[0].mode_chroma = modes[0];
FILL(pred_cu.cbf, 0);
search_intra_trdepth(state, x_px, y_px, depth, tr_depth, modes[0], MAX_INT, &pred_cu, lcu);
}
return modes_to_check;
}
/**
* Update lcu to have best modes at this depth.
* \return Cost of best mode.
*/
static double search_cu_intra(encoder_state_t * const state,
const int x_px, const int y_px,
const int depth, lcu_t *lcu)
{
const videoframe_t * const frame = state->tile->frame;
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const vector2d_t lcu_px = { x_px & 0x3f, y_px & 0x3f };
const vector2d_t lcu_cu = { lcu_px.x >> 3, lcu_px.y >> 3 };
const int8_t cu_width = (LCU_WIDTH >> (depth));
const int cu_index = LCU_CU_OFFSET + lcu_cu.x + lcu_cu.y * LCU_T_CU_WIDTH;
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cu_info_t *cur_cu = &lcu->cu[cu_index];
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pixel_t rec_buffer[(LCU_WIDTH * 2 + 1) * (LCU_WIDTH * 2 + 1)];
pixel_t *cu_in_rec_buffer = &rec_buffer[cu_width * 2 + 8 + 1];
int8_t candidate_modes[3];
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cu_info_t *left_cu = 0;
cu_info_t *above_cu = 0;
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// Select left and top CUs if they are available.
// Top CU is not available across LCU boundary.
if ((x_px >> 3) > 0) {
left_cu = &lcu->cu[cu_index - 1];
}
if ((y_px >> 3) > 0 && lcu_cu.y != 0) {
above_cu = &lcu->cu[cu_index - LCU_T_CU_WIDTH];
}
intra_get_dir_luma_predictor(x_px, y_px, candidate_modes, cur_cu, left_cu, above_cu);
if (depth > 0) {
// Build reconstructed block to use in prediction with extrapolated borders
intra_build_reference_border(state->encoder_control, x_px, y_px, cu_width * 2 + 8,
rec_buffer, cu_width * 2 + 8, 0,
frame->width,
frame->height,
lcu);
}
int8_t modes[35];
double costs[35];
// Find best intra mode for 2Nx2N.
{
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pixel_t *ref_pixels = &lcu->ref.y[lcu_px.x + lcu_px.y * LCU_WIDTH];
unsigned pu_index = PU_INDEX(x_px >> 2, y_px >> 2);
int8_t number_of_modes;
bool skip_rough_search = (depth == 0 || state->encoder_control->rdo >= 3);
if (!skip_rough_search) {
number_of_modes = search_intra_rough(state,
ref_pixels, LCU_WIDTH,
cu_in_rec_buffer, cu_width * 2 + 8,
cu_width, candidate_modes,
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modes, costs);
} else {
number_of_modes = 35;
for (int i = 0; i < number_of_modes; ++i) {
modes[i] = i;
costs[i] = MAX_INT;
}
}
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// Set transform depth to current depth, meaning no transform splits.
lcu_set_trdepth(lcu, x_px, y_px, depth, depth);
// Refine results with slower search or get some results if rough search was skipped.
if (state->encoder_control->rdo >= 2 || skip_rough_search) {
int number_of_modes_to_search;
if (state->encoder_control->rdo == 3) {
number_of_modes_to_search = 35;
} else if (state->encoder_control->rdo == 2) {
number_of_modes_to_search = (cu_width <= 8) ? 8 : 3;
} else {
// Check only the predicted modes.
number_of_modes_to_search = 0;
}
int num_modes_to_check = MIN(number_of_modes, number_of_modes_to_search);
sort_modes(modes, costs, number_of_modes);
number_of_modes = search_intra_rdo(state,
x_px, y_px, depth,
ref_pixels, LCU_WIDTH,
cu_in_rec_buffer, cu_width * 2 + 8,
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candidate_modes,
num_modes_to_check,
modes, costs, lcu);
}
int8_t best_mode = select_best_mode(modes, costs, number_of_modes);
cur_cu->intra[pu_index].mode = best_mode;
}
return costs[0];
}
// Return estimate of bits used to code prediction mode of cur_cu.
static double calc_mode_bits(const encoder_state_t *state,
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const cu_info_t * cur_cu,
int x, int y)
{
double mode_bits;
if (cur_cu->type == CU_INTER) {
mode_bits = cur_cu->inter.bitcost;
} else {
int8_t candidate_modes[3];
{
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const cu_info_t *left_cu = ((x > 8) ? &cur_cu[-1] : NULL);
const cu_info_t *above_cu = ((y > 8) ? &cur_cu[-LCU_T_CU_WIDTH] : NULL);
intra_get_dir_luma_predictor(x, y, candidate_modes, cur_cu, left_cu, above_cu);
}
mode_bits = luma_mode_bits(state, cur_cu->intra[PU_INDEX(x >> 2, y >> 2)].mode, candidate_modes);
if (PU_INDEX(x >> 2, y >> 2) == 0) {
mode_bits += chroma_mode_bits(state, cur_cu->intra[0].mode_chroma, cur_cu->intra[PU_INDEX(x >> 2, y >> 2)].mode);
}
}
return mode_bits;
}
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static uint8_t get_ctx_cu_split_model(const lcu_t *lcu, int x, int y, int depth)
{
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vector2d_t lcu_cu = { (x & 0x3f) / 8, (y & 0x3f) / 8 };
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const cu_info_t *cu_array = &(lcu)->cu[LCU_CU_OFFSET];
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bool condA = x >= 8 && cu_array[(lcu_cu.x - 1) * lcu_cu.y * LCU_T_CU_WIDTH].depth > depth;
bool condL = y >= 8 && cu_array[lcu_cu.x * (lcu_cu.y - 1) * LCU_T_CU_WIDTH].depth > depth;
return condA + condL;
}
/**
* Search every mode from 0 to MAX_PU_DEPTH and return cost of best mode.
* - The recursion is started at depth 0 and goes in Z-order to MAX_PU_DEPTH.
* - Data structure work_tree is maintained such that the neighbouring SCUs
* and pixels to the left and up of current CU are the final CUs decided
* via the search. This is done by copying the relevant data to all
* relevant levels whenever a decision is made whether to split or not.
* - All the final data for the LCU gets eventually copied to depth 0, which
* will be the final output of the recursion.
*/
static double search_cu(encoder_state_t * const state, int x, int y, int depth, lcu_t work_tree[MAX_PU_DEPTH])
{
const encoder_control_t* ctrl = state->encoder_control;
const videoframe_t * const frame = state->tile->frame;
int cu_width = LCU_WIDTH >> depth;
double cost = MAX_INT;
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cu_info_t *cur_cu;
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const vector2d_t lcu_px = { x & 0x3f, y & 0x3f };
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lcu_t *const lcu = &work_tree[depth];
int x_local = (x&0x3f), y_local = (y&0x3f);
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#ifdef _DEBUG
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int debug_split = 0;
#endif
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PERFORMANCE_MEASURE_START(_DEBUG_PERF_SEARCH_CU);
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// Stop recursion if the CU is completely outside the frame.
if (x >= frame->width || y >= frame->height) {
// Return zero cost because this CU does not have to be coded.
return 0;
}
cur_cu = &(&work_tree[depth])->cu[LCU_CU_OFFSET+(x_local>>3) + (y_local>>3)*LCU_T_CU_WIDTH];
// Assign correct depth
cur_cu->depth = depth > MAX_DEPTH ? MAX_DEPTH : depth;
cur_cu->tr_depth = depth > 0 ? depth : 1;
cur_cu->type = CU_NOTSET;
cur_cu->part_size = depth > MAX_DEPTH ? SIZE_NxN : SIZE_2Nx2N;
// If the CU is completely inside the frame at this depth, search for
// prediction modes at this depth.
if (x + cu_width <= frame->width &&
y + cu_width <= frame->height)
{
if (state->global->slicetype != SLICE_I &&
WITHIN(depth, ctrl->pu_depth_inter.min, ctrl->pu_depth_inter.max))
{
int mode_cost = search_cu_inter(state, x, y, depth, &work_tree[depth]);
if (mode_cost < cost) {
cost = mode_cost;
cur_cu->type = CU_INTER;
}
}
// Try to skip intra search in rd==0 mode.
// This can be quite severe on bdrate. It might be better to do this
// decision after reconstructing the inter frame.
bool skip_intra = state->encoder_control->rdo == 0
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&& cur_cu->type != CU_NOTSET
&& cost / (cu_width * cu_width) < INTRA_TRESHOLD;
if (!skip_intra
&& WITHIN(depth, ctrl->pu_depth_intra.min, ctrl->pu_depth_intra.max))
{
double mode_cost = search_cu_intra(state, x, y, depth, &work_tree[depth]);
if (mode_cost < cost) {
cost = mode_cost;
cur_cu->type = CU_INTRA;
}
}
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// Reconstruct best mode because we need the reconstructed pixels for
// mode search of adjacent CUs.
if (cur_cu->type == CU_INTRA) {
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int8_t intra_mode = cur_cu->intra[PU_INDEX(x >> 2, y >> 2)].mode;
lcu_set_intra_mode(&work_tree[depth], x, y, depth,
intra_mode,
intra_mode,
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cur_cu->part_size);
intra_recon_lcu_luma(state, x, y, depth, intra_mode, NULL, &work_tree[depth]);
if (PU_INDEX(x >> 2, y >> 2) == 0) {
int8_t intra_mode_chroma = intra_mode;
// There is almost no benefit to doing the chroma mode search for
// rd2. Possibly because the luma mode search already takes chroma
// into account, so there is less of a chanse of luma mode being
// really bad for chroma.
if (state->encoder_control->rdo == 3) {
const videoframe_t * const frame = state->tile->frame;
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double costs[5];
int8_t modes[5] = { 0, 26, 10, 1, 34 };
if (intra_mode != 0 && intra_mode != 26 && intra_mode != 10 && intra_mode != 1) {
modes[4] = intra_mode;
}
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// The number of modes to select for slower chroma search. Luma mode
// is always one of the modes, so 2 means the final decision is made
// between luma mode and one other mode that looks the best
// according to search_intra_chroma_rough.
const int8_t modes_in_depth[5] = { 1, 1, 1, 1, 2 };
int num_modes = modes_in_depth[depth];
if (state->encoder_control->rdo == 3) {
num_modes = 5;
}
if (num_modes != 1 && num_modes != 5) {
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pixel_t rec_u[(LCU_WIDTH_C * 2 + 8) * (LCU_WIDTH_C * 2 + 8)];
pixel_t rec_v[(LCU_WIDTH_C * 2 + 8) * (LCU_WIDTH_C * 2 + 8)];
const int16_t width_c = MAX(LCU_WIDTH_C >> depth, TR_MIN_WIDTH);
const int16_t rec_stride = width_c * 2 + 8;
const int16_t out_stride = rec_stride;
intra_build_reference_border(state->encoder_control,
x, y, out_stride,
rec_u, rec_stride, COLOR_U,
frame->width / 2, frame->height / 2,
lcu);
intra_build_reference_border(state->encoder_control,
x, y, out_stride,
rec_v, rec_stride, COLOR_V,
frame->width / 2, frame->height / 2,
lcu);
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vector2d_t lcu_cpx = { lcu_px.x / 2, lcu_px.y / 2 };
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pixel_t *ref_u = &lcu->ref.u[lcu_cpx.x + lcu_cpx.y * LCU_WIDTH_C];
pixel_t *ref_v = &lcu->ref.u[lcu_cpx.x + lcu_cpx.y * LCU_WIDTH_C];
search_intra_chroma_rough(state, x, y, depth,
ref_u, ref_v, LCU_WIDTH_C,
&rec_u[rec_stride + 1], &rec_v[rec_stride + 1], rec_stride,
intra_mode, modes, costs);
}
if (num_modes > 1) {
intra_mode_chroma = search_intra_chroma(state, x, y, depth, intra_mode, modes, num_modes, &work_tree[depth]);
lcu_set_intra_mode(&work_tree[depth], x, y, depth,
intra_mode, intra_mode_chroma,
cur_cu->part_size);
}
}
intra_recon_lcu_chroma(state, x, y, depth, intra_mode_chroma, NULL, &work_tree[depth]);
}
} else if (cur_cu->type == CU_INTER) {
// Reset transform depth because intra messes with them.
// This will no longer be necessary if the transform depths are not shared.
int tr_depth = depth > 0 ? depth : 1;
lcu_set_trdepth(&work_tree[depth], x, y, depth, tr_depth);
if (cur_cu->inter.mv_dir == 3) {
inter_recon_lcu_bipred(state, state->global->ref->images[cur_cu->inter.mv_ref[0]], state->global->ref->images[cur_cu->inter.mv_ref[1]], x, y, LCU_WIDTH >> depth, cur_cu->inter.mv, &work_tree[depth]);
} else {
inter_recon_lcu(state, state->global->ref->images[cur_cu->inter.mv_ref[cur_cu->inter.mv_dir - 1]], x, y, LCU_WIDTH >> depth, cur_cu->inter.mv[cur_cu->inter.mv_dir - 1], &work_tree[depth]);
}
quantize_lcu_luma_residual(state, x, y, depth, NULL, &work_tree[depth]);
quantize_lcu_chroma_residual(state, x, y, depth, NULL, &work_tree[depth]);
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int cbf = cbf_is_set(cur_cu->cbf.y, depth) || cbf_is_set(cur_cu->cbf.u, depth) || cbf_is_set(cur_cu->cbf.v, depth);
if(cur_cu->merged && !cbf) {
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cur_cu->merged = 0;
cur_cu->skipped = 1;
// Selecting skip reduces bits needed to code the CU
if (cur_cu->inter.bitcost > 1) {
cur_cu->inter.bitcost -= 1;
}
}
lcu_set_inter(&work_tree[depth], x, y, depth, cur_cu);
lcu_set_coeff(&work_tree[depth], x, y, depth, cur_cu);
}
}
if (cur_cu->type == CU_INTRA || cur_cu->type == CU_INTER) {
cost = cu_rd_cost_luma(state, x_local, y_local, depth, cur_cu, &work_tree[depth]);
cost += cu_rd_cost_chroma(state, x_local, y_local, depth, cur_cu, &work_tree[depth]);
double mode_bits = calc_mode_bits(state, cur_cu, x, y);
cost += mode_bits * state->global->cur_lambda_cost;
}
// Recursively split all the way to max search depth.
if (depth < ctrl->pu_depth_intra.max || (depth < ctrl->pu_depth_inter.max && state->global->slicetype != SLICE_I)) {
int half_cu = cu_width / 2;
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// Using Cost = lambda * 9 to compensate on the price of the split
double split_cost = state->global->cur_lambda_cost * CU_COST;
int cbf = cbf_is_set(cur_cu->cbf.y, depth) || cbf_is_set(cur_cu->cbf.u, depth) || cbf_is_set(cur_cu->cbf.v, depth);
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if (depth < MAX_DEPTH) {
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uint8_t split_model = get_ctx_cu_split_model(lcu, x, y, depth);
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const cabac_ctx_t *ctx = &(state->cabac.ctx.split_flag_model[split_model]);
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cost += CTX_ENTROPY_FBITS(ctx, 0);
split_cost += CTX_ENTROPY_FBITS(ctx, 1);
}
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if (cur_cu->type == CU_INTRA && depth == MAX_DEPTH) {
const cabac_ctx_t *ctx = &(state->cabac.ctx.part_size_model[0]);
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cost += CTX_ENTROPY_FBITS(ctx, 1); // 2Nx2N
split_cost += CTX_ENTROPY_FBITS(ctx, 0); // NxN
}
// If skip mode was selected for the block, skip further search.
// Skip mode means there's no coefficients in the block, so splitting
// might not give any better results but takes more time to do.
if (cur_cu->type == CU_NOTSET || cbf || FULL_CU_SPLIT_SEARCH) {
split_cost += search_cu(state, x, y, depth + 1, work_tree);
split_cost += search_cu(state, x + half_cu, y, depth + 1, work_tree);
split_cost += search_cu(state, x, y + half_cu, depth + 1, work_tree);
split_cost += search_cu(state, x + half_cu, y + half_cu, depth + 1, work_tree);
} else {
split_cost = INT_MAX;
}
// If no search is not performed for this depth, try just the best mode
// of the top left CU from the next depth. This should ensure that 64x64
// gets used, at least in the most obvious cases, while avoiding any
// searching.
if (cur_cu->type == CU_NOTSET && depth < MAX_PU_DEPTH
&& x + cu_width <= frame->width && y + cu_width <= frame->height)
{
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vector2d_t lcu_cu = { x_local / 8, y_local / 8 };
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cu_info_t *cu_array_d1 = &(&work_tree[depth + 1])->cu[LCU_CU_OFFSET];
cu_info_t *cu_d1 = &cu_array_d1[(lcu_cu.x + lcu_cu.y * LCU_T_CU_WIDTH)];
// If the best CU in depth+1 is intra and the biggest it can be, try it.
if (cu_d1->type == CU_INTRA && cu_d1->depth == depth + 1) {
cost = 0;
cur_cu->intra[0] = cu_d1->intra[0];
cur_cu->type = CU_INTRA;
lcu_set_trdepth(&work_tree[depth], x, y, depth, cur_cu->tr_depth);
lcu_set_intra_mode(&work_tree[depth], x, y, depth,
cur_cu->intra[0].mode, cur_cu->intra[0].mode_chroma,
cur_cu->part_size);
intra_recon_lcu_luma(state, x, y, depth, cur_cu->intra[0].mode, NULL, &work_tree[depth]);
intra_recon_lcu_chroma(state, x, y, depth, cur_cu->intra[0].mode_chroma, NULL, &work_tree[depth]);
cost += cu_rd_cost_luma(state, x_local, y_local, depth, cur_cu, &work_tree[depth]);
cost += cu_rd_cost_chroma(state, x_local, y_local, depth, cur_cu, &work_tree[depth]);
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uint8_t split_model = get_ctx_cu_split_model(lcu, x, y, depth);
const cabac_ctx_t *ctx = &(state->cabac.ctx.split_flag_model[split_model]);
cost += CTX_ENTROPY_FBITS(ctx, 0);
double mode_bits = calc_mode_bits(state, cur_cu, x, y);
cost += mode_bits * state->global->cur_lambda_cost;
}
}
if (split_cost < cost) {
// Copy split modes to this depth.
cost = split_cost;
work_tree_copy_up(x, y, depth, work_tree);
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#if _DEBUG
debug_split = 1;
#endif
} else if (depth > 0) {
// Copy this CU's mode all the way down for use in adjacent CUs mode
// search.
work_tree_copy_down(x, y, depth, work_tree);
}
}
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PERFORMANCE_MEASURE_END(_DEBUG_PERF_SEARCH_CU, state->encoder_control->threadqueue, "type=search_cu,frame=%d,tile=%d,slice=%d,px_x=%d-%d,px_y=%d-%d,depth=%d,split=%d,cur_cu_is_intra=%d", state->global->frame, state->tile->id, state->slice->id,
(state->tile->lcu_offset_x * LCU_WIDTH) + x,
(state->tile->lcu_offset_x * LCU_WIDTH) + x + (LCU_WIDTH >> depth),
(state->tile->lcu_offset_y * LCU_WIDTH) + y,
(state->tile->lcu_offset_y * LCU_WIDTH) + y + (LCU_WIDTH >> depth),
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depth, debug_split, (cur_cu->type==CU_INTRA)?1:0);
return cost;
}
/**
* Initialize lcu_t for search.
* - Copy reference CUs.
* - Copy reference pixels from neighbouring LCUs.
* - Copy reference pixels from this LCU.
*/
static void init_lcu_t(const encoder_state_t * const state, const int x, const int y, lcu_t *lcu, const yuv_t *hor_buf, const yuv_t *ver_buf)
{
const videoframe_t * const frame = state->tile->frame;
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// Copy reference cu_info structs from neighbouring LCUs.
{
const int x_cu = x >> MAX_DEPTH;
const int y_cu = y >> MAX_DEPTH;
// Use top-left sub-cu of LCU as pointer to lcu->cu array to make things
// simpler.
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cu_info_t *lcu_cu = &lcu->cu[LCU_CU_OFFSET];
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// Copy top CU row.
if (y_cu > 0) {
int i;
for (i = 0; i < LCU_CU_WIDTH; ++i) {
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const cu_info_t *from_cu = videoframe_get_cu_const(frame, x_cu + i, y_cu - 1);
cu_info_t *to_cu = &lcu_cu[i - LCU_T_CU_WIDTH];
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memcpy(to_cu, from_cu, sizeof(*to_cu));
}
}
// Copy left CU column.
if (x_cu > 0) {
int i;
for (i = 0; i < LCU_CU_WIDTH; ++i) {
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const cu_info_t *from_cu = videoframe_get_cu_const(frame, x_cu - 1, y_cu + i);
cu_info_t *to_cu = &lcu_cu[-1 + i * LCU_T_CU_WIDTH];
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memcpy(to_cu, from_cu, sizeof(*to_cu));
}
}
// Copy top-left CU.
if (x_cu > 0 && y_cu > 0) {
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const cu_info_t *from_cu = videoframe_get_cu_const(frame, x_cu - 1, y_cu - 1);
cu_info_t *to_cu = &lcu_cu[-1 - LCU_T_CU_WIDTH];
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memcpy(to_cu, from_cu, sizeof(*to_cu));
}
// Copy top-right CU.
if (y_cu > 0 && x + LCU_WIDTH < frame->width) {
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const cu_info_t *from_cu = videoframe_get_cu_const(frame, x_cu + LCU_CU_WIDTH, y_cu - 1);
cu_info_t *to_cu = &lcu->cu[LCU_T_CU_WIDTH*LCU_T_CU_WIDTH];
memcpy(to_cu, from_cu, sizeof(*to_cu));
}
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}
// Copy reference pixels.
{
const int pic_width = frame->width;
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// Copy top reference pixels.
if (y > 0) {
// hor_buf is of size pic_width so there might not be LCU_REF_PX_WIDTH
// number of allocated pixels left.
int x_max = MIN(LCU_REF_PX_WIDTH, pic_width - x);
int x_min_in_lcu = (x>0) ? 0 : 1;
memcpy(&lcu->top_ref.y[x_min_in_lcu], &hor_buf->y[OFFSET_HOR_BUF(x, y, frame, x_min_in_lcu-1)], x_max + (1-x_min_in_lcu));
memcpy(&lcu->top_ref.u[x_min_in_lcu], &hor_buf->u[OFFSET_HOR_BUF_C(x, y, frame, x_min_in_lcu-1)], x_max / 2 + (1-x_min_in_lcu));
memcpy(&lcu->top_ref.v[x_min_in_lcu], &hor_buf->v[OFFSET_HOR_BUF_C(x, y, frame, x_min_in_lcu-1)], x_max / 2 + (1-x_min_in_lcu));
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}
// Copy left reference pixels.
if (x > 0) {
int y_min_in_lcu = (y>0) ? 0 : 1;
memcpy(&lcu->left_ref.y[y_min_in_lcu], &ver_buf->y[OFFSET_VER_BUF(x, y, frame, y_min_in_lcu-1)], LCU_WIDTH + (1-y_min_in_lcu));
memcpy(&lcu->left_ref.u[y_min_in_lcu], &ver_buf->u[OFFSET_VER_BUF_C(x, y, frame, y_min_in_lcu-1)], LCU_WIDTH / 2 + (1-y_min_in_lcu));
memcpy(&lcu->left_ref.v[y_min_in_lcu], &ver_buf->v[OFFSET_VER_BUF_C(x, y, frame, y_min_in_lcu-1)], LCU_WIDTH / 2 + (1-y_min_in_lcu));
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}
}
// Copy LCU pixels.
{
const videoframe_t * const frame = state->tile->frame;
int x_max = MIN(x + LCU_WIDTH, frame->width) - x;
int y_max = MIN(y + LCU_WIDTH, frame->height) - y;
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int x_c = x / 2;
int y_c = y / 2;
int x_max_c = x_max / 2;
int y_max_c = y_max / 2;
pixels_blit(&frame->source->y[x + y * frame->source->stride], lcu->ref.y,
x_max, y_max, frame->source->stride, LCU_WIDTH);
pixels_blit(&frame->source->u[x_c + y_c * frame->source->stride/2], lcu->ref.u,
x_max_c, y_max_c, frame->source->stride/2, LCU_WIDTH / 2);
pixels_blit(&frame->source->v[x_c + y_c * frame->source->stride/2], lcu->ref.v,
x_max_c, y_max_c, frame->source->stride/2, LCU_WIDTH / 2);
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}
}
/**
* Copy CU and pixel data to it's place in picture datastructure.
*/
static void copy_lcu_to_cu_data(const encoder_state_t * const state, int x_px, int y_px, const lcu_t *lcu)
{
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// Copy non-reference CUs to picture.
{
const int x_cu = x_px >> MAX_DEPTH;
const int y_cu = y_px >> MAX_DEPTH;
videoframe_t * const frame = state->tile->frame;
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// Use top-left sub-cu of LCU as pointer to lcu->cu array to make things
// simpler.
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const cu_info_t *const lcu_cu = &lcu->cu[LCU_CU_OFFSET];
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int x, y;
for (y = 0; y < LCU_CU_WIDTH; ++y) {
for (x = 0; x < LCU_CU_WIDTH; ++x) {
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const cu_info_t *from_cu = &lcu_cu[x + y * LCU_T_CU_WIDTH];
cu_info_t *to_cu = videoframe_get_cu(frame, x_cu + x, y_cu + y);
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memcpy(to_cu, from_cu, sizeof(*to_cu));
}
}
}
// Copy pixels to picture.
{
videoframe_t * const pic = state->tile->frame;
const int pic_width = pic->width;
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const int x_max = MIN(x_px + LCU_WIDTH, pic_width) - x_px;
const int y_max = MIN(y_px + LCU_WIDTH, pic->height) - y_px;
const int luma_index = x_px + y_px * pic_width;
const int chroma_index = (x_px / 2) + (y_px / 2) * (pic_width / 2);
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pixels_blit(lcu->rec.y, &pic->rec->y[x_px + y_px * pic->rec->stride],
x_max, y_max, LCU_WIDTH, pic->rec->stride);
coefficients_blit(lcu->coeff.y, &pic->coeff_y[luma_index],
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x_max, y_max, LCU_WIDTH, pic_width);
pixels_blit(lcu->rec.u, &pic->rec->u[(x_px / 2) + (y_px / 2) * (pic->rec->stride / 2)],
x_max / 2, y_max / 2, LCU_WIDTH / 2, pic->rec->stride / 2);
pixels_blit(lcu->rec.v, &pic->rec->v[(x_px / 2) + (y_px / 2) * (pic->rec->stride / 2)],
x_max / 2, y_max / 2, LCU_WIDTH / 2, pic->rec->stride / 2);
coefficients_blit(lcu->coeff.u, &pic->coeff_u[chroma_index],
x_max / 2, y_max / 2, LCU_WIDTH / 2, pic_width / 2);
coefficients_blit(lcu->coeff.v, &pic->coeff_v[chroma_index],
x_max / 2, y_max / 2, LCU_WIDTH / 2, pic_width / 2);
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}
}
/**
* Search LCU for modes.
* - Best mode gets copied to current picture.
*/
void search_lcu(encoder_state_t * const state, const int x, const int y, const yuv_t * const hor_buf, const yuv_t * const ver_buf)
{
lcu_t work_tree[MAX_PU_DEPTH + 1];
int depth;
// Initialize work tree.
for (depth = 0; depth <= MAX_PU_DEPTH; ++depth) {
FILL(work_tree[depth], 0);
init_lcu_t(state, x, y, &work_tree[depth], hor_buf, ver_buf);
}
// Start search from depth 0.
search_cu(state, x, y, 0, work_tree);
copy_lcu_to_cu_data(state, x, y, &work_tree[0]);
}