x264_slicetype_frame_cost主要用来计算一个待编码帧的最优(最小)损耗,它内部最重要的操作是调用x264_slicetype_slice_cost函数,x264_slicetype_slice_cost函数会循环遍历一个编码帧中的所有宏块,对每个宏块进行帧内预测,帧间预测,并比较两种模式的损耗,得出损耗较小的值,并把它累计到frame的总损耗中。x264_slicetype_frame_cost的源码如下:
static int x264_slicetype_frame_cost( x264_t *h, x264_mb_analysis_t *a,
x264_frame_t **frames, int p0, int p1, int b )
{
int i_score = 0;
int do_search[2];
const x264_weight_t *w = x264_weight_none;
x264_frame_t *fenc = frames[b]; //从预测队列中取出待编码帧
/* Check whether we already evaluated this frame
* If we have tried this frame as P, then we have also tried
* the preceding frames as B. (is this still true?) */
/* Also check that we already calculated the row SATDs for the current frame. */
if( fenc->i_cost_est[b-p0][p1-b] >= 0 && (!h->param.rc.i_vbv_buffer_size || fenc->i_row_satds[b-p0][p1-b][0] != -1) ) //如果已经计算过损耗了
i_score = fenc->i_cost_est[b-p0][p1-b];
else
{
int dist_scale_factor = 128;
/* For each list, check to see whether we have lowres motion-searched this reference frame before. */
do_search[0] = b != p0 && fenc->lowres_mvs[0][b-p0-1][0][0] == 0x7FFF; //0x7FFF表示前向参考尚未进行运动搜索
do_search[1] = b != p1 && fenc->lowres_mvs[1][p1-b-1][0][0] == 0x7FFF; //后向参考判断
if( do_search[0] )
{
if( h->param.analyse.i_weighted_pred && b == p1 )
{
x264_emms();
x264_weights_analyse( h, fenc, frames[p0], 1 );
w = fenc->weight[0];
}
fenc->lowres_mvs[0][b-p0-1][0][0] = 0;
}
if( do_search[1] ) fenc->lowres_mvs[1][p1-b-1][0][0] = 0;
if( p1 != p0 )
dist_scale_factor = ( ((b-p0) << 8) + ((p1-p0) >> 1) ) / (p1-p0);
int output_buf_size = h->mb.i_mb_height + (NUM_INTS + PAD_SIZE) * h->param.i_lookahead_threads;
int *output_inter[X264_LOOKAHEAD_THREAD_MAX+1]; //保存帧间编码各类损耗,COST_EST,COST_EST_AQ等等
int *output_intra[X264_LOOKAHEAD_THREAD_MAX+1]; //帧间的,同上
output_inter[0] = h->scratch_buffer2;
output_intra[0] = output_inter[0] + output_buf_size;
{
if( h->param.i_lookahead_threads > 1 ) //多线程的,暂不分析
{
x264_slicetype_slice_t s[X264_LOOKAHEAD_THREAD_MAX];
for( int i = 0; i < h->param.i_lookahead_threads; i++ )
{
x264_t *t = h->lookahead_thread[i];
/* FIXME move this somewhere else */
t->mb.i_me_method = h->mb.i_me_method;
t->mb.i_subpel_refine = h->mb.i_subpel_refine;
t->mb.b_chroma_me = h->mb.b_chroma_me;
s[i] = (x264_slicetype_slice_t){ t, a, frames, p0, p1, b, dist_scale_factor, do_search, w,
output_inter[i], output_intra[i] };
t->i_threadslice_start = ((h->mb.i_mb_height * i + h->param.i_lookahead_threads/2) / h->param.i_lookahead_threads);
t->i_threadslice_end = ((h->mb.i_mb_height * (i+1) + h->param.i_lookahead_threads/2) / h->param.i_lookahead_threads);
int thread_height = t->i_threadslice_end - t->i_threadslice_start;
int thread_output_size = thread_height + NUM_INTS;
memset( output_inter[i], 0, thread_output_size * sizeof(int) );
memset( output_intra[i], 0, thread_output_size * sizeof(int) );
output_inter[i][NUM_ROWS] = output_intra[i][NUM_ROWS] = thread_height;
output_inter[i+1] = output_inter[i] + thread_output_size + PAD_SIZE;
output_intra[i+1] = output_intra[i] + thread_output_size + PAD_SIZE;
x264_threadpool_run( h->lookaheadpool, (void*)x264_slicetype_slice_cost, &s[i] );
}
for( int i = 0; i < h->param.i_lookahead_threads; i++ )
x264_threadpool_wait( h->lookaheadpool, &s[i] );
}
else //单线程模式跳到这里
{
h->i_threadslice_start = 0;
h->i_threadslice_end = h->mb.i_mb_height;
memset( output_inter[0], 0, (output_buf_size - PAD_SIZE) * sizeof(int) );
memset( output_intra[0], 0, (output_buf_size - PAD_SIZE) * sizeof(int) );
output_inter[0][NUM_ROWS] = output_intra[0][NUM_ROWS] = h->mb.i_mb_height;
x264_slicetype_slice_t s = (x264_slicetype_slice_t){ h, a, frames, p0, p1, b, dist_scale_factor, do_search, w,
output_inter[0], output_intra[0] };
x264_slicetype_slice_cost( &s ); //计算待编码帧所有宏块的相关损耗,结果存到s里
}
/* Sum up accumulators */ //计算各类损耗总和
if( b == p1 )
fenc->i_intra_mbs[b-p0] = 0;
if( !fenc->b_intra_calculated )
{
fenc->i_cost_est[0][0] = 0;
fenc->i_cost_est_aq[0][0] = 0;
}
fenc->i_cost_est[b-p0][p1-b] = 0;
fenc->i_cost_est_aq[b-p0][p1-b] = 0;
int *row_satd_inter = fenc->i_row_satds[b-p0][p1-b];
int *row_satd_intra = fenc->i_row_satds[0][0];
for( int i = 0; i < h->param.i_lookahead_threads; i++ )
{
if( b == p1 )
fenc->i_intra_mbs[b-p0] += output_inter[i][INTRA_MBS];
if( !fenc->b_intra_calculated )
{
fenc->i_cost_est[0][0] += output_intra[i][COST_EST];
fenc->i_cost_est_aq[0][0] += output_intra[i][COST_EST_AQ];
}
fenc->i_cost_est[b-p0][p1-b] += output_inter[i][COST_EST];
fenc->i_cost_est_aq[b-p0][p1-b] += output_inter[i][COST_EST_AQ];
if( h->param.rc.i_vbv_buffer_size )
{
int row_count = output_inter[i][NUM_ROWS];
memcpy( row_satd_inter, output_inter[i] + NUM_INTS, row_count * sizeof(int) );
if( !fenc->b_intra_calculated )
memcpy( row_satd_intra, output_intra[i] + NUM_INTS, row_count * sizeof(int) );
row_satd_inter += row_count;
row_satd_intra += row_count;
}
}
i_score = fenc->i_cost_est[b-p0][p1-b];
if( b != p1 )
i_score = (uint64_t)i_score * 100 / (120 + h->param.i_bframe_bias);
else
fenc->b_intra_calculated = 1;
fenc->i_cost_est[b-p0][p1-b] = i_score; //i_cost_est存放最优(最小)损耗
x264_emms();
}
}
return i_score;
}
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