| Index: source/libvpx/vp9/encoder/vp9_segmentation.c
|
| ===================================================================
|
| --- source/libvpx/vp9/encoder/vp9_segmentation.c (revision 219822)
|
| +++ source/libvpx/vp9/encoder/vp9_segmentation.c (working copy)
|
| @@ -17,39 +17,42 @@
|
|
|
| void vp9_enable_segmentation(VP9_PTR ptr) {
|
| VP9_COMP *cpi = (VP9_COMP *)ptr;
|
| + struct segmentation *const seg = &cpi->common.seg;
|
|
|
| - cpi->mb.e_mbd.seg.enabled = 1;
|
| - cpi->mb.e_mbd.seg.update_map = 1;
|
| - cpi->mb.e_mbd.seg.update_data = 1;
|
| + seg->enabled = 1;
|
| + seg->update_map = 1;
|
| + seg->update_data = 1;
|
| }
|
|
|
| void vp9_disable_segmentation(VP9_PTR ptr) {
|
| VP9_COMP *cpi = (VP9_COMP *)ptr;
|
| - cpi->mb.e_mbd.seg.enabled = 0;
|
| + struct segmentation *const seg = &cpi->common.seg;
|
| + seg->enabled = 0;
|
| }
|
|
|
| void vp9_set_segmentation_map(VP9_PTR ptr,
|
| unsigned char *segmentation_map) {
|
| - VP9_COMP *cpi = (VP9_COMP *)(ptr);
|
| + VP9_COMP *cpi = (VP9_COMP *)ptr;
|
| + struct segmentation *const seg = &cpi->common.seg;
|
|
|
| // Copy in the new segmentation map
|
| vpx_memcpy(cpi->segmentation_map, segmentation_map,
|
| (cpi->common.mi_rows * cpi->common.mi_cols));
|
|
|
| // Signal that the map should be updated.
|
| - cpi->mb.e_mbd.seg.update_map = 1;
|
| - cpi->mb.e_mbd.seg.update_data = 1;
|
| + seg->update_map = 1;
|
| + seg->update_data = 1;
|
| }
|
|
|
| void vp9_set_segment_data(VP9_PTR ptr,
|
| signed char *feature_data,
|
| unsigned char abs_delta) {
|
| - VP9_COMP *cpi = (VP9_COMP *)(ptr);
|
| + VP9_COMP *cpi = (VP9_COMP *)ptr;
|
| + struct segmentation *const seg = &cpi->common.seg;
|
|
|
| - cpi->mb.e_mbd.seg.abs_delta = abs_delta;
|
| + seg->abs_delta = abs_delta;
|
|
|
| - vpx_memcpy(cpi->mb.e_mbd.seg.feature_data, feature_data,
|
| - sizeof(cpi->mb.e_mbd.seg.feature_data));
|
| + vpx_memcpy(seg->feature_data, feature_data, sizeof(seg->feature_data));
|
|
|
| // TBD ?? Set the feature mask
|
| // vpx_memcpy(cpi->mb.e_mbd.segment_feature_mask, 0,
|
| @@ -57,8 +60,7 @@
|
| }
|
|
|
| // Based on set of segment counts calculate a probability tree
|
| -static void calc_segtree_probs(MACROBLOCKD *xd, int *segcounts,
|
| - vp9_prob *segment_tree_probs) {
|
| +static void calc_segtree_probs(int *segcounts, vp9_prob *segment_tree_probs) {
|
| // Work out probabilities of each segment
|
| const int c01 = segcounts[0] + segcounts[1];
|
| const int c23 = segcounts[2] + segcounts[3];
|
| @@ -75,7 +77,7 @@
|
| }
|
|
|
| // Based on set of segment counts and probabilities calculate a cost estimate
|
| -static int cost_segmap(MACROBLOCKD *xd, int *segcounts, vp9_prob *probs) {
|
| +static int cost_segmap(int *segcounts, vp9_prob *probs) {
|
| const int c01 = segcounts[0] + segcounts[1];
|
| const int c23 = segcounts[2] + segcounts[3];
|
| const int c45 = segcounts[4] + segcounts[5];
|
| @@ -136,7 +138,7 @@
|
|
|
| // Temporal prediction not allowed on key frames
|
| if (cm->frame_type != KEY_FRAME) {
|
| - const BLOCK_SIZE_TYPE bsize = mi->mbmi.sb_type;
|
| + const BLOCK_SIZE bsize = mi->mbmi.sb_type;
|
| // Test to see if the segment id matches the predicted value.
|
| const int pred_segment_id = vp9_get_segment_id(cm, cm->last_frame_seg_map,
|
| bsize, mi_row, mi_col);
|
| @@ -159,68 +161,61 @@
|
| int (*temporal_predictor_count)[2],
|
| int *t_unpred_seg_counts,
|
| int mi_row, int mi_col,
|
| - BLOCK_SIZE_TYPE bsize) {
|
| - VP9_COMMON *const cm = &cpi->common;
|
| + BLOCK_SIZE bsize) {
|
| + const VP9_COMMON *const cm = &cpi->common;
|
| const int mis = cm->mode_info_stride;
|
| - int bwl, bhl;
|
| - const int bsl = mi_width_log2(bsize), bs = 1 << (bsl - 1);
|
| + int bw, bh;
|
| + const int bs = num_8x8_blocks_wide_lookup[bsize], hbs = bs / 2;
|
|
|
| if (mi_row >= cm->mi_rows || mi_col >= cm->mi_cols)
|
| return;
|
|
|
| - bwl = mi_width_log2(mi->mbmi.sb_type);
|
| - bhl = mi_height_log2(mi->mbmi.sb_type);
|
| + bw = num_8x8_blocks_wide_lookup[mi->mbmi.sb_type];
|
| + bh = num_8x8_blocks_high_lookup[mi->mbmi.sb_type];
|
|
|
| - if (bwl == bsl && bhl == bsl) {
|
| + if (bw == bs && bh == bs) {
|
| count_segs(cpi, mi, no_pred_segcounts, temporal_predictor_count,
|
| - t_unpred_seg_counts, 1 << bsl, 1 << bsl, mi_row, mi_col);
|
| - } else if (bwl == bsl && bhl < bsl) {
|
| + t_unpred_seg_counts, bs, bs, mi_row, mi_col);
|
| + } else if (bw == bs && bh < bs) {
|
| count_segs(cpi, mi, no_pred_segcounts, temporal_predictor_count,
|
| - t_unpred_seg_counts, 1 << bsl, bs, mi_row, mi_col);
|
| - count_segs(cpi, mi + bs * mis, no_pred_segcounts, temporal_predictor_count,
|
| - t_unpred_seg_counts, 1 << bsl, bs, mi_row + bs, mi_col);
|
| - } else if (bwl < bsl && bhl == bsl) {
|
| + t_unpred_seg_counts, bs, hbs, mi_row, mi_col);
|
| + count_segs(cpi, mi + hbs * mis, no_pred_segcounts, temporal_predictor_count,
|
| + t_unpred_seg_counts, bs, hbs, mi_row + hbs, mi_col);
|
| + } else if (bw < bs && bh == bs) {
|
| count_segs(cpi, mi, no_pred_segcounts, temporal_predictor_count,
|
| - t_unpred_seg_counts, bs, 1 << bsl, mi_row, mi_col);
|
| - count_segs(cpi, mi + bs, no_pred_segcounts, temporal_predictor_count,
|
| - t_unpred_seg_counts, bs, 1 << bsl, mi_row, mi_col + bs);
|
| + t_unpred_seg_counts, hbs, bs, mi_row, mi_col);
|
| + count_segs(cpi, mi + hbs, no_pred_segcounts, temporal_predictor_count,
|
| + t_unpred_seg_counts, hbs, bs, mi_row, mi_col + hbs);
|
| } else {
|
| - BLOCK_SIZE_TYPE subsize;
|
| + const BLOCK_SIZE subsize = subsize_lookup[PARTITION_SPLIT][bsize];
|
| int n;
|
|
|
| - assert(bwl < bsl && bhl < bsl);
|
| - if (bsize == BLOCK_SIZE_SB64X64) {
|
| - subsize = BLOCK_SIZE_SB32X32;
|
| - } else if (bsize == BLOCK_SIZE_SB32X32) {
|
| - subsize = BLOCK_SIZE_MB16X16;
|
| - } else {
|
| - assert(bsize == BLOCK_SIZE_MB16X16);
|
| - subsize = BLOCK_SIZE_SB8X8;
|
| - }
|
| + assert(bw < bs && bh < bs);
|
|
|
| for (n = 0; n < 4; n++) {
|
| - const int y_idx = n >> 1, x_idx = n & 0x01;
|
| + const int mi_dc = hbs * (n & 1);
|
| + const int mi_dr = hbs * (n >> 1);
|
|
|
| - count_segs_sb(cpi, mi + y_idx * bs * mis + x_idx * bs,
|
| + count_segs_sb(cpi, &mi[mi_dr * mis + mi_dc],
|
| no_pred_segcounts, temporal_predictor_count,
|
| t_unpred_seg_counts,
|
| - mi_row + y_idx * bs, mi_col + x_idx * bs, subsize);
|
| + mi_row + mi_dr, mi_col + mi_dc, subsize);
|
| }
|
| }
|
| }
|
|
|
| void vp9_choose_segmap_coding_method(VP9_COMP *cpi) {
|
| VP9_COMMON *const cm = &cpi->common;
|
| - MACROBLOCKD *const xd = &cpi->mb.e_mbd;
|
| + struct segmentation *seg = &cm->seg;
|
|
|
| int no_pred_cost;
|
| int t_pred_cost = INT_MAX;
|
|
|
| int i, tile_col, mi_row, mi_col;
|
|
|
| - int temporal_predictor_count[PREDICTION_PROBS][2];
|
| - int no_pred_segcounts[MAX_SEGMENTS];
|
| - int t_unpred_seg_counts[MAX_SEGMENTS];
|
| + int temporal_predictor_count[PREDICTION_PROBS][2] = { { 0 } };
|
| + int no_pred_segcounts[MAX_SEGMENTS] = { 0 };
|
| + int t_unpred_seg_counts[MAX_SEGMENTS] = { 0 };
|
|
|
| vp9_prob no_pred_tree[SEG_TREE_PROBS];
|
| vp9_prob t_pred_tree[SEG_TREE_PROBS];
|
| @@ -231,13 +226,9 @@
|
|
|
| // Set default state for the segment tree probabilities and the
|
| // temporal coding probabilities
|
| - vpx_memset(xd->seg.tree_probs, 255, sizeof(xd->seg.tree_probs));
|
| - vpx_memset(xd->seg.pred_probs, 255, sizeof(xd->seg.pred_probs));
|
| + vpx_memset(seg->tree_probs, 255, sizeof(seg->tree_probs));
|
| + vpx_memset(seg->pred_probs, 255, sizeof(seg->pred_probs));
|
|
|
| - vpx_memset(no_pred_segcounts, 0, sizeof(no_pred_segcounts));
|
| - vpx_memset(t_unpred_seg_counts, 0, sizeof(t_unpred_seg_counts));
|
| - vpx_memset(temporal_predictor_count, 0, sizeof(temporal_predictor_count));
|
| -
|
| // First of all generate stats regarding how well the last segment map
|
| // predicts this one
|
| for (tile_col = 0; tile_col < 1 << cm->log2_tile_cols; tile_col++) {
|
| @@ -249,21 +240,21 @@
|
| for (mi_col = cm->cur_tile_mi_col_start; mi_col < cm->cur_tile_mi_col_end;
|
| mi_col += 8, mi += 8)
|
| count_segs_sb(cpi, mi, no_pred_segcounts, temporal_predictor_count,
|
| - t_unpred_seg_counts, mi_row, mi_col, BLOCK_SIZE_SB64X64);
|
| + t_unpred_seg_counts, mi_row, mi_col, BLOCK_64X64);
|
| }
|
| }
|
|
|
| // Work out probability tree for coding segments without prediction
|
| // and the cost.
|
| - calc_segtree_probs(xd, no_pred_segcounts, no_pred_tree);
|
| - no_pred_cost = cost_segmap(xd, no_pred_segcounts, no_pred_tree);
|
| + calc_segtree_probs(no_pred_segcounts, no_pred_tree);
|
| + no_pred_cost = cost_segmap(no_pred_segcounts, no_pred_tree);
|
|
|
| // Key frames cannot use temporal prediction
|
| if (cm->frame_type != KEY_FRAME) {
|
| // Work out probability tree for coding those segments not
|
| // predicted using the temporal method and the cost.
|
| - calc_segtree_probs(xd, t_unpred_seg_counts, t_pred_tree);
|
| - t_pred_cost = cost_segmap(xd, t_unpred_seg_counts, t_pred_tree);
|
| + calc_segtree_probs(t_unpred_seg_counts, t_pred_tree);
|
| + t_pred_cost = cost_segmap(t_unpred_seg_counts, t_pred_tree);
|
|
|
| // Add in the cost of the signalling for each prediction context
|
| for (i = 0; i < PREDICTION_PROBS; i++) {
|
| @@ -280,11 +271,11 @@
|
|
|
| // Now choose which coding method to use.
|
| if (t_pred_cost < no_pred_cost) {
|
| - xd->seg.temporal_update = 1;
|
| - vpx_memcpy(xd->seg.tree_probs, t_pred_tree, sizeof(t_pred_tree));
|
| - vpx_memcpy(xd->seg.pred_probs, t_nopred_prob, sizeof(t_nopred_prob));
|
| + seg->temporal_update = 1;
|
| + vpx_memcpy(seg->tree_probs, t_pred_tree, sizeof(t_pred_tree));
|
| + vpx_memcpy(seg->pred_probs, t_nopred_prob, sizeof(t_nopred_prob));
|
| } else {
|
| - xd->seg.temporal_update = 0;
|
| - vpx_memcpy(xd->seg.tree_probs, no_pred_tree, sizeof(no_pred_tree));
|
| + seg->temporal_update = 0;
|
| + vpx_memcpy(seg->tree_probs, no_pred_tree, sizeof(no_pred_tree));
|
| }
|
| }
|
|
|