ref: 1935dfb294c1dec48101dc2ce5c741a3b9f14eb6
parent: e0b4c4d1ae15c1b83249f4eebcd0e63a35a600ea
author: Yunqing Wang <yunqingwang@google.com>
date: Tue Mar 21 05:47:55 EDT 2017
Code refactoring in the partition search Computed the partition search early termination score in a separate function. Change-Id: I1894b517ff179a38b1c05e054d373ac4b7f4cbb4
--- a/vp9/encoder/vp9_encodeframe.c
+++ b/vp9/encoder/vp9_encodeframe.c
@@ -2725,6 +2725,74 @@
}
#endif
+// Calculate the score used in machine-learning based partition search early
+// termination.
+static double compute_score(VP9_COMMON *const cm, MACROBLOCKD *const xd,
+ PICK_MODE_CONTEXT *ctx, int mi_row, int mi_col,
+ BLOCK_SIZE bsize) {+ const double *clf;
+ const double *mean;
+ const double *sd;
+ const int mag_mv =
+ abs(ctx->mic.mv[0].as_mv.col) + abs(ctx->mic.mv[0].as_mv.row);
+ const int left_in_image = !!xd->left_mi;
+ const int above_in_image = !!xd->above_mi;
+ MODE_INFO **prev_mi =
+ &cm->prev_mi_grid_visible[mi_col + cm->mi_stride * mi_row];
+ int above_par = 0; // above_partitioning
+ int left_par = 0; // left_partitioning
+ int last_par = 0; // last_partitioning
+ BLOCK_SIZE context_size;
+ double score;
+ int offset = 0;
+
+ assert(b_width_log2_lookup[bsize] == b_height_log2_lookup[bsize]);
+
+ if (above_in_image) {+ context_size = xd->above_mi->sb_type;
+ if (context_size < bsize)
+ above_par = 2;
+ else if (context_size == bsize)
+ above_par = 1;
+ }
+
+ if (left_in_image) {+ context_size = xd->left_mi->sb_type;
+ if (context_size < bsize)
+ left_par = 2;
+ else if (context_size == bsize)
+ left_par = 1;
+ }
+
+ if (prev_mi) {+ context_size = prev_mi[0]->sb_type;
+ if (context_size < bsize)
+ last_par = 2;
+ else if (context_size == bsize)
+ last_par = 1;
+ }
+
+ if (bsize == BLOCK_64X64)
+ offset = 0;
+ else if (bsize == BLOCK_32X32)
+ offset = 8;
+ else if (bsize == BLOCK_16X16)
+ offset = 16;
+
+ // early termination score calculation
+ clf = &classifiers[offset];
+ mean = &train_mean[offset];
+ sd = &train_stdm[offset];
+ score = clf[0] * (((double)ctx->rate - mean[0]) / sd[0]) +
+ clf[1] * (((double)ctx->dist - mean[1]) / sd[1]) +
+ clf[2] * (((double)mag_mv / 2 - mean[2]) * sd[2]) +
+ clf[3] * (((double)(left_par + above_par) / 2 - mean[3]) * sd[3]) +
+ clf[4] * (((double)ctx->sum_y_eobs - mean[4]) / sd[4]) +
+ clf[5] * (((double)cm->base_qindex - mean[5]) * sd[5]) +
+ clf[6] * (((double)last_par - mean[6]) * sd[6]) + clf[7];
+ return score;
+}
+
// TODO(jingning,jimbankoski,rbultje): properly skip partition types that are
// unlikely to be selected depending on previous rate-distortion optimization
// results, for encoding speed-up.
@@ -2924,68 +2992,7 @@
if (!x->e_mbd.lossless &&
!segfeature_active(&cm->seg, mi->segment_id, SEG_LVL_SKIP) &&
ctx->mic.mode >= INTRA_MODES && bsize >= BLOCK_16X16) {- const double *clf;
- const double *mean;
- const double *sd;
- const int mag_mv =
- abs(ctx->mic.mv[0].as_mv.col) + abs(ctx->mic.mv[0].as_mv.row);
- const int left_in_image = !!xd->left_mi;
- const int above_in_image = !!xd->above_mi;
- MODE_INFO **prev_mi =
- &cm->prev_mi_grid_visible[mi_col + cm->mi_stride * mi_row];
- int above_par = 0; // above_partitioning
- int left_par = 0; // left_partitioning
- int last_par = 0; // last_partitioning
- BLOCK_SIZE context_size;
- double score;
- int offset = 0;
-
- assert(b_width_log2_lookup[bsize] == b_height_log2_lookup[bsize]);
-
- if (above_in_image) {- context_size = xd->above_mi->sb_type;
- if (context_size < bsize)
- above_par = 2;
- else if (context_size == bsize)
- above_par = 1;
- }
-
- if (left_in_image) {- context_size = xd->left_mi->sb_type;
- if (context_size < bsize)
- left_par = 2;
- else if (context_size == bsize)
- left_par = 1;
- }
-
- if (prev_mi) {- context_size = prev_mi[0]->sb_type;
- if (context_size < bsize)
- last_par = 2;
- else if (context_size == bsize)
- last_par = 1;
- }
-
- if (bsize == BLOCK_64X64)
- offset = 0;
- else if (bsize == BLOCK_32X32)
- offset = 8;
- else if (bsize == BLOCK_16X16)
- offset = 16;
-
- // early termination score calculation
- clf = &classifiers[offset];
- mean = &train_mean[offset];
- sd = &train_stdm[offset];
- score = clf[0] * (((double)ctx->rate - mean[0]) / sd[0]) +
- clf[1] * (((double)ctx->dist - mean[1]) / sd[1]) +
- clf[2] * (((double)mag_mv / 2 - mean[2]) * sd[2]) +
- clf[3] * (((double)(left_par + above_par) / 2 - mean[3]) *
- sd[3]) +
- clf[4] * (((double)ctx->sum_y_eobs - mean[4]) / sd[4]) +
- clf[5] * (((double)cm->base_qindex - mean[5]) * sd[5]) +
- clf[6] * (((double)last_par - mean[6]) * sd[6]) + clf[7];
- if (score < 0) {+ if (compute_score(cm, xd, ctx, mi_row, mi_col, bsize) < 0.0) {do_split = 0;
do_rect = 0;
}