| Index: source/libvpx/vp9/encoder/vp9_encodeframe.c
|
| diff --git a/source/libvpx/vp9/encoder/vp9_encodeframe.c b/source/libvpx/vp9/encoder/vp9_encodeframe.c
|
| index 0910130600a2dc973824e32b3fc1c214fac951a0..756052771ebf76d91de2c7b791f2f2ab63399f32 100644
|
| --- a/source/libvpx/vp9/encoder/vp9_encodeframe.c
|
| +++ b/source/libvpx/vp9/encoder/vp9_encodeframe.c
|
| @@ -401,42 +401,55 @@ static int set_vt_partitioning(VP9_COMP *cpi,
|
| void *data,
|
| BLOCK_SIZE bsize,
|
| int mi_row,
|
| - int mi_col,
|
| - int64_t threshold,
|
| - BLOCK_SIZE bsize_min) {
|
| + int mi_col) {
|
| VP9_COMMON * const cm = &cpi->common;
|
| variance_node vt;
|
| const int block_width = num_8x8_blocks_wide_lookup[bsize];
|
| const int block_height = num_8x8_blocks_high_lookup[bsize];
|
| + // TODO(marpan): Adjust/tune these thresholds.
|
| + const int threshold_multiplier = cm->frame_type == KEY_FRAME ? 80 : 4;
|
| + int64_t threshold =
|
| + (int64_t)(threshold_multiplier *
|
| + vp9_convert_qindex_to_q(cm->base_qindex, cm->bit_depth));
|
| + int64_t threshold_bsize_ref = threshold << 6;
|
| + int64_t threshold_low = threshold;
|
| + BLOCK_SIZE bsize_ref = BLOCK_16X16;
|
|
|
| assert(block_height == block_width);
|
| tree_to_node(data, bsize, &vt);
|
|
|
| - // For bsize=bsize_min (16x16/8x8 for 8x8/4x4 downsampling), select if
|
| + if (cm->frame_type == KEY_FRAME) {
|
| + bsize_ref = BLOCK_8X8;
|
| + // Choose lower thresholds for key frame variance to favor split, but keep
|
| + // threshold for splitting to 4x4 block still fairly high for now.
|
| + threshold_bsize_ref = threshold << 2;
|
| + threshold_low = threshold >> 2;
|
| + }
|
| +
|
| + // For bsize=bsize_ref (16x16/8x8 for 8x8/4x4 downsampling), select if
|
| // variance is below threshold, otherwise split will be selected.
|
| // No check for vert/horiz split as too few samples for variance.
|
| - if (bsize == bsize_min) {
|
| + if (bsize == bsize_ref) {
|
| get_variance(&vt.part_variances->none);
|
| if (mi_col + block_width / 2 < cm->mi_cols &&
|
| mi_row + block_height / 2 < cm->mi_rows &&
|
| - vt.part_variances->none.variance < threshold) {
|
| + vt.part_variances->none.variance < threshold_bsize_ref) {
|
| set_block_size(cpi, xd, mi_row, mi_col, bsize);
|
| return 1;
|
| }
|
| return 0;
|
| - } else if (bsize > bsize_min) {
|
| + } else if (bsize > bsize_ref) {
|
| get_variance(&vt.part_variances->none);
|
| - // For key frame or low_res: for bsize above 32X32 or very high variance,
|
| - // take split.
|
| + // For key frame, for bsize above 32X32, or very high variance, take split.
|
| if (cm->frame_type == KEY_FRAME &&
|
| (bsize > BLOCK_32X32 ||
|
| - vt.part_variances->none.variance > (threshold << 4))) {
|
| + vt.part_variances->none.variance > (threshold << 2))) {
|
| return 0;
|
| }
|
| // If variance is low, take the bsize (no split).
|
| if (mi_col + block_width / 2 < cm->mi_cols &&
|
| mi_row + block_height / 2 < cm->mi_rows &&
|
| - vt.part_variances->none.variance < threshold) {
|
| + vt.part_variances->none.variance < threshold_low) {
|
| set_block_size(cpi, xd, mi_row, mi_col, bsize);
|
| return 1;
|
| }
|
| @@ -445,8 +458,8 @@ static int set_vt_partitioning(VP9_COMP *cpi,
|
| if (mi_row + block_height / 2 < cm->mi_rows) {
|
| get_variance(&vt.part_variances->vert[0]);
|
| get_variance(&vt.part_variances->vert[1]);
|
| - if (vt.part_variances->vert[0].variance < threshold &&
|
| - vt.part_variances->vert[1].variance < threshold) {
|
| + if (vt.part_variances->vert[0].variance < threshold_low &&
|
| + vt.part_variances->vert[1].variance < threshold_low) {
|
| BLOCK_SIZE subsize = get_subsize(bsize, PARTITION_VERT);
|
| set_block_size(cpi, xd, mi_row, mi_col, subsize);
|
| set_block_size(cpi, xd, mi_row, mi_col + block_width / 2, subsize);
|
| @@ -457,8 +470,8 @@ static int set_vt_partitioning(VP9_COMP *cpi,
|
| if (mi_col + block_width / 2 < cm->mi_cols) {
|
| get_variance(&vt.part_variances->horz[0]);
|
| get_variance(&vt.part_variances->horz[1]);
|
| - if (vt.part_variances->horz[0].variance < threshold &&
|
| - vt.part_variances->horz[1].variance < threshold) {
|
| + if (vt.part_variances->horz[0].variance < threshold_low &&
|
| + vt.part_variances->horz[1].variance < threshold_low) {
|
| BLOCK_SIZE subsize = get_subsize(bsize, PARTITION_HORZ);
|
| set_block_size(cpi, xd, mi_row, mi_col, subsize);
|
| set_block_size(cpi, xd, mi_row + block_height / 2, mi_col, subsize);
|
| @@ -472,7 +485,8 @@ static int set_vt_partitioning(VP9_COMP *cpi,
|
| }
|
|
|
| // This function chooses partitioning based on the variance between source and
|
| -// reconstructed last, where variance is computed for downs-sampled inputs.
|
| +// reconstructed last, where variance is computed for downsampled inputs.
|
| +// Currently 8x8 downsampling is used for delta frames, 4x4 for key frames.
|
| static void choose_partitioning(VP9_COMP *cpi,
|
| const TileInfo *const tile,
|
| MACROBLOCK *x,
|
| @@ -482,7 +496,6 @@ static void choose_partitioning(VP9_COMP *cpi,
|
|
|
| int i, j, k, m;
|
| v64x64 vt;
|
| - v16x16 vt2[16];
|
| uint8_t *s;
|
| const uint8_t *d;
|
| int sp;
|
| @@ -490,33 +503,8 @@ static void choose_partitioning(VP9_COMP *cpi,
|
| int pixels_wide = 64, pixels_high = 64;
|
| const YV12_BUFFER_CONFIG *yv12 = get_ref_frame_buffer(cpi, LAST_FRAME);
|
| const struct scale_factors *const sf = &cm->frame_refs[LAST_FRAME - 1].sf;
|
| - // Always use 4x4 partition for key frame.
|
| - int use_4x4_partition = (cm->frame_type == KEY_FRAME);
|
| - int variance4x4downsample[16];
|
| - int low_res = (cm->width <= 352 && cm->height <= 288) ? 1 : 0;
|
| - const int threshold_multiplier = cm->frame_type == KEY_FRAME ? 80 : 4;
|
| - int64_t threshold_base;
|
| - int64_t threshold;
|
| - int64_t threshold_bsize_min;
|
| - int64_t threshold_bsize_max;
|
|
|
| vp9_clear_system_state();
|
| - threshold_base = (int64_t)(threshold_multiplier *
|
| - vp9_convert_qindex_to_q(cm->base_qindex, cm->bit_depth));
|
| - threshold = threshold_base;
|
| - threshold_bsize_min = threshold_base << 6;
|
| - threshold_bsize_max = threshold_base;
|
| -
|
| - // Modify thresholds for key frame and for low-resolutions (set lower
|
| - // thresholds to favor split).
|
| - if (cm->frame_type == KEY_FRAME) {
|
| - threshold = threshold_base >> 2;
|
| - threshold_bsize_min = threshold_base << 2;
|
| - } else if (low_res) {
|
| - threshold_bsize_min = threshold_base << 3;
|
| - threshold_bsize_max = threshold_base >> 2;
|
| - }
|
| -
|
| set_offsets(cpi, tile, x, mi_row, mi_col, BLOCK_64X64);
|
|
|
| if (xd->mb_to_right_edge < 0)
|
| @@ -528,12 +516,11 @@ static void choose_partitioning(VP9_COMP *cpi,
|
| sp = x->plane[0].src.stride;
|
|
|
| if (cm->frame_type != KEY_FRAME) {
|
| - MB_MODE_INFO *mbmi = &xd->mi[0].src_mi->mbmi;
|
| vp9_setup_pre_planes(xd, 0, yv12, mi_row, mi_col, sf);
|
| - mbmi->ref_frame[0] = LAST_FRAME;
|
| - mbmi->ref_frame[1] = NONE;
|
| - mbmi->sb_type = BLOCK_64X64;
|
| - mbmi->mv[0].as_int = 0;
|
| +
|
| + xd->mi[0].src_mi->mbmi.ref_frame[0] = LAST_FRAME;
|
| + xd->mi[0].src_mi->mbmi.sb_type = BLOCK_64X64;
|
| + xd->mi[0].src_mi->mbmi.mv[0].as_int = 0;
|
| vp9_build_inter_predictors_sby(xd, mi_row, mi_col, BLOCK_64X64);
|
|
|
| d = xd->plane[0].dst.buf;
|
| @@ -559,169 +546,130 @@ static void choose_partitioning(VP9_COMP *cpi,
|
| #endif // CONFIG_VP9_HIGHBITDEPTH
|
| }
|
|
|
| - // Fill in the entire tree of 8x8 (or 4x4 under some conditions) variances
|
| - // for splits.
|
| + // Fill in the entire tree of 8x8 variances for splits.
|
| for (i = 0; i < 4; i++) {
|
| const int x32_idx = ((i & 1) << 5);
|
| const int y32_idx = ((i >> 1) << 5);
|
| - const int i2 = i << 2;
|
| for (j = 0; j < 4; j++) {
|
| const int x16_idx = x32_idx + ((j & 1) << 4);
|
| const int y16_idx = y32_idx + ((j >> 1) << 4);
|
| v16x16 *vst = &vt.split[i].split[j];
|
| - variance4x4downsample[i2 + j] = 0;
|
| - if (cm->frame_type != KEY_FRAME) {
|
| - for (k = 0; k < 4; k++) {
|
| - int x8_idx = x16_idx + ((k & 1) << 3);
|
| - int y8_idx = y16_idx + ((k >> 1) << 3);
|
| - unsigned int sse = 0;
|
| - int sum = 0;
|
| - if (x8_idx < pixels_wide && y8_idx < pixels_high) {
|
| - int s_avg, d_avg;
|
| + for (k = 0; k < 4; k++) {
|
| + int x8_idx = x16_idx + ((k & 1) << 3);
|
| + int y8_idx = y16_idx + ((k >> 1) << 3);
|
| + if (cm->frame_type != KEY_FRAME) {
|
| + unsigned int sse = 0;
|
| + int sum = 0;
|
| + if (x8_idx < pixels_wide && y8_idx < pixels_high) {
|
| + int s_avg, d_avg;
|
| #if CONFIG_VP9_HIGHBITDEPTH
|
| - if (xd->cur_buf->flags & YV12_FLAG_HIGHBITDEPTH) {
|
| - s_avg = vp9_highbd_avg_8x8(s + y8_idx * sp + x8_idx, sp);
|
| - d_avg = vp9_highbd_avg_8x8(d + y8_idx * dp + x8_idx, dp);
|
| - } else {
|
| - s_avg = vp9_avg_8x8(s + y8_idx * sp + x8_idx, sp);
|
| - d_avg = vp9_avg_8x8(d + y8_idx * dp + x8_idx, dp);
|
| - }
|
| -#else
|
| + if (xd->cur_buf->flags & YV12_FLAG_HIGHBITDEPTH) {
|
| + s_avg = vp9_highbd_avg_8x8(s + y8_idx * sp + x8_idx, sp);
|
| + d_avg = vp9_highbd_avg_8x8(d + y8_idx * dp + x8_idx, dp);
|
| + } else {
|
| s_avg = vp9_avg_8x8(s + y8_idx * sp + x8_idx, sp);
|
| d_avg = vp9_avg_8x8(d + y8_idx * dp + x8_idx, dp);
|
| + }
|
| +#else
|
| + s_avg = vp9_avg_8x8(s + y8_idx * sp + x8_idx, sp);
|
| + d_avg = vp9_avg_8x8(d + y8_idx * dp + x8_idx, dp);
|
| #endif
|
| - sum = s_avg - d_avg;
|
| - sse = sum * sum;
|
| - }
|
| - // If variance is based on 8x8 downsampling, we stop here and have
|
| - // one sample for 8x8 block (so use 1 for count in fill_variance),
|
| - // which of course means variance = 0 for 8x8 block.
|
| - fill_variance(sse, sum, 0, &vst->split[k].part_variances.none);
|
| - }
|
| - fill_variance_tree(&vt.split[i].split[j], BLOCK_16X16);
|
| - // For low-resolution, compute the variance based on 8x8 down-sampling,
|
| - // and if it is large (above the threshold) we go down for 4x4.
|
| - // For key frame we always go down to 4x4.
|
| - if (low_res)
|
| - get_variance(&vt.split[i].split[j].part_variances.none);
|
| - }
|
| - if (cm->frame_type == KEY_FRAME || (low_res &&
|
| - vt.split[i].split[j].part_variances.none.variance >
|
| - (threshold << 1))) {
|
| - // Go down to 4x4 down-sampling for variance.
|
| - variance4x4downsample[i2 + j] = 1;
|
| - for (k = 0; k < 4; k++) {
|
| - int x8_idx = x16_idx + ((k & 1) << 3);
|
| - int y8_idx = y16_idx + ((k >> 1) << 3);
|
| - v8x8 *vst2 = (cm->frame_type == KEY_FRAME) ? &vst->split[k] :
|
| - &vt2[i2 + j].split[k];
|
| + sum = s_avg - d_avg;
|
| + sse = sum * sum;
|
| + }
|
| + // If variance is based on 8x8 downsampling, we stop here and have
|
| + // one sample for 8x8 block (so use 1 for count in fill_variance),
|
| + // which of course means variance = 0 for 8x8 block.
|
| + fill_variance(sse, sum, 0, &vst->split[k].part_variances.none);
|
| + } else {
|
| + // For key frame, go down to 4x4.
|
| + v8x8 *vst2 = &vst->split[k];
|
| for (m = 0; m < 4; m++) {
|
| int x4_idx = x8_idx + ((m & 1) << 2);
|
| int y4_idx = y8_idx + ((m >> 1) << 2);
|
| unsigned int sse = 0;
|
| int sum = 0;
|
| if (x4_idx < pixels_wide && y4_idx < pixels_high) {
|
| - int d_avg = 128;
|
| #if CONFIG_VP9_HIGHBITDEPTH
|
| int s_avg;
|
| if (xd->cur_buf->flags & YV12_FLAG_HIGHBITDEPTH) {
|
| s_avg = vp9_highbd_avg_4x4(s + y4_idx * sp + x4_idx, sp);
|
| - if (cm->frame_type != KEY_FRAME)
|
| - d_avg = vp9_highbd_avg_4x4(d + y4_idx * dp + x4_idx, dp);
|
| } else {
|
| s_avg = vp9_avg_4x4(s + y4_idx * sp + x4_idx, sp);
|
| - if (cm->frame_type != KEY_FRAME)
|
| - d_avg = vp9_avg_4x4(d + y4_idx * dp + x4_idx, dp);
|
| }
|
| #else
|
| int s_avg = vp9_avg_4x4(s + y4_idx * sp + x4_idx, sp);
|
| - if (cm->frame_type != KEY_FRAME)
|
| - d_avg = vp9_avg_4x4(d + y4_idx * dp + x4_idx, dp);
|
| #endif
|
| - sum = s_avg - d_avg;
|
| + // For key frame, reference is set to 128.
|
| + sum = s_avg - 128;
|
| sse = sum * sum;
|
| }
|
| - // If variance is based on 4x4 down-sampling, we stop here and have
|
| + // If variance is based on 4x4 downsampling, we stop here and have
|
| // one sample for 4x4 block (so use 1 for count in fill_variance),
|
| // which of course means variance = 0 for 4x4 block.
|
| - fill_variance(sse, sum, 0, &vst2->split[m].part_variances.none);
|
| + fill_variance(sse, sum, 0, &vst2->split[m].part_variances.none);
|
| }
|
| }
|
| }
|
| }
|
| }
|
| -
|
| // Fill the rest of the variance tree by summing split partition values.
|
| for (i = 0; i < 4; i++) {
|
| - const int i2 = i << 2;
|
| for (j = 0; j < 4; j++) {
|
| - if (variance4x4downsample[i2 + j] == 1) {
|
| - v16x16 *vtemp = (cm->frame_type != KEY_FRAME) ? &vt2[i2 + j] :
|
| - &vt.split[i].split[j];
|
| + if (cm->frame_type == KEY_FRAME) {
|
| for (m = 0; m < 4; m++) {
|
| - fill_variance_tree(&vtemp->split[m], BLOCK_8X8);
|
| + fill_variance_tree(&vt.split[i].split[j].split[m], BLOCK_8X8);
|
| }
|
| - fill_variance_tree(vtemp, BLOCK_16X16);
|
| }
|
| + fill_variance_tree(&vt.split[i].split[j], BLOCK_16X16);
|
| }
|
| fill_variance_tree(&vt.split[i], BLOCK_32X32);
|
| }
|
| fill_variance_tree(&vt, BLOCK_64X64);
|
|
|
| -
|
| // Now go through the entire structure, splitting every block size until
|
| // we get to one that's got a variance lower than our threshold.
|
| if ( mi_col + 8 > cm->mi_cols || mi_row + 8 > cm->mi_rows ||
|
| - !set_vt_partitioning(cpi, xd, &vt, BLOCK_64X64, mi_row, mi_col,
|
| - threshold_bsize_max, BLOCK_16X16)) {
|
| + !set_vt_partitioning(cpi, xd, &vt, BLOCK_64X64, mi_row, mi_col)) {
|
| for (i = 0; i < 4; ++i) {
|
| const int x32_idx = ((i & 1) << 2);
|
| const int y32_idx = ((i >> 1) << 2);
|
| - const int i2 = i << 2;
|
| if (!set_vt_partitioning(cpi, xd, &vt.split[i], BLOCK_32X32,
|
| - (mi_row + y32_idx), (mi_col + x32_idx),
|
| - threshold, BLOCK_16X16)) {
|
| + (mi_row + y32_idx), (mi_col + x32_idx))) {
|
| for (j = 0; j < 4; ++j) {
|
| const int x16_idx = ((j & 1) << 1);
|
| const int y16_idx = ((j >> 1) << 1);
|
| - // TODO(marpan): Allow 4x4 partitions for inter-frames.
|
| - // use_4x4_partition = (variance4x4downsample[i2 + j] == 1);
|
| - // If 4x4 partition is not used, then 8x8 partition will be selected
|
| - // if variance of 16x16 block is very high, so use larger threshold
|
| - // for 16x16 (threshold_bsize_min) in that case.
|
| - uint64_t threshold_16x16 = (use_4x4_partition) ? threshold :
|
| - threshold_bsize_min;
|
| - BLOCK_SIZE bsize_min = (use_4x4_partition) ? BLOCK_8X8 : BLOCK_16X16;
|
| - // For inter frames: if variance4x4downsample[] == 1 for this 16x16
|
| - // block, then the variance is based on 4x4 down-sampling, so use vt2
|
| - // in set_vt_partioning(), otherwise use vt.
|
| - v16x16 *vtemp = (cm->frame_type != KEY_FRAME &&
|
| - variance4x4downsample[i2 + j] == 1) ?
|
| - &vt2[i2 + j] : &vt.split[i].split[j];
|
| - if (!set_vt_partitioning(cpi, xd, vtemp, BLOCK_16X16,
|
| + // Note: If 8x8 downsampling is used for variance calculation we
|
| + // cannot really select block size 8x8 (or even 8x16/16x8), since we
|
| + // don't have sufficient samples for variance. So on delta frames,
|
| + // 8x8 partition is only set if variance of the 16x16 block is very
|
| + // high. For key frames, 4x4 downsampling is used, so we can better
|
| + // select 8x16/16x8 and 8x8. 4x4 partition can potentially be set
|
| + // used here too, but for now 4x4 is not allowed.
|
| + if (!set_vt_partitioning(cpi, xd, &vt.split[i].split[j],
|
| + BLOCK_16X16,
|
| mi_row + y32_idx + y16_idx,
|
| - mi_col + x32_idx + x16_idx,
|
| - threshold_16x16, bsize_min)) {
|
| + mi_col + x32_idx + x16_idx)) {
|
| for (k = 0; k < 4; ++k) {
|
| const int x8_idx = (k & 1);
|
| const int y8_idx = (k >> 1);
|
| - if (use_4x4_partition) {
|
| - if (!set_vt_partitioning(cpi, xd, &vtemp->split[k],
|
| + if (cm->frame_type == KEY_FRAME) {
|
| + if (!set_vt_partitioning(cpi, xd,
|
| + &vt.split[i].split[j].split[k],
|
| BLOCK_8X8,
|
| mi_row + y32_idx + y16_idx + y8_idx,
|
| - mi_col + x32_idx + x16_idx + x8_idx,
|
| - threshold_bsize_min, BLOCK_8X8)) {
|
| - set_block_size(cpi, xd,
|
| - (mi_row + y32_idx + y16_idx + y8_idx),
|
| - (mi_col + x32_idx + x16_idx + x8_idx),
|
| - BLOCK_4X4);
|
| + mi_col + x32_idx + x16_idx + x8_idx)) {
|
| + set_block_size(cpi, xd,
|
| + (mi_row + y32_idx + y16_idx + y8_idx),
|
| + (mi_col + x32_idx + x16_idx + x8_idx),
|
| + BLOCK_4X4);
|
| }
|
| } else {
|
| set_block_size(cpi, xd,
|
| (mi_row + y32_idx + y16_idx + y8_idx),
|
| (mi_col + x32_idx + x16_idx + x8_idx),
|
| BLOCK_8X8);
|
| - }
|
| + }
|
| }
|
| }
|
| }
|
| @@ -775,8 +723,8 @@ static void update_state(VP9_COMP *cpi, ThreadData *td,
|
| // Else for cyclic refresh mode update the segment map, set the segment id
|
| // and then update the quantizer.
|
| if (cpi->oxcf.aq_mode == CYCLIC_REFRESH_AQ) {
|
| - vp9_cyclic_refresh_update_segment(cpi, &xd->mi[0].src_mi->mbmi, mi_row,
|
| - mi_col, bsize, ctx->rate, ctx->dist);
|
| + vp9_cyclic_refresh_update_segment(cpi, &xd->mi[0].src_mi->mbmi,
|
| + mi_row, mi_col, bsize, 1, ctx->rate);
|
| }
|
| }
|
|
|
| @@ -1463,9 +1411,9 @@ static void update_state_rt(VP9_COMP *cpi, ThreadData *td,
|
| : cm->last_frame_seg_map;
|
| mbmi->segment_id = vp9_get_segment_id(cm, map, bsize, mi_row, mi_col);
|
| } else {
|
| - // Setting segmentation map for cyclic_refresh.
|
| - vp9_cyclic_refresh_update_segment(cpi, mbmi, mi_row, mi_col, bsize,
|
| - ctx->rate, ctx->dist);
|
| + // Setting segmentation map for cyclic_refresh
|
| + vp9_cyclic_refresh_update_segment(cpi, mbmi, mi_row, mi_col, bsize, 1,
|
| + ctx->rate);
|
| }
|
| vp9_init_plane_quantizers(cpi, x);
|
| }
|
| @@ -3806,9 +3754,6 @@ void vp9_encode_frame(VP9_COMP *cpi) {
|
| }
|
| }
|
|
|
| - vpx_memset(cpi->td.counts->tx.tx_totals, 0,
|
| - sizeof(cpi->td.counts->tx.tx_totals));
|
| -
|
| if (cpi->sf.frame_parameter_update) {
|
| int i;
|
|
|
| @@ -3895,6 +3840,7 @@ void vp9_encode_frame(VP9_COMP *cpi) {
|
| count16x16_lp += counts->tx.p32x32[i][TX_16X16];
|
| count32x32 += counts->tx.p32x32[i][TX_32X32];
|
| }
|
| +
|
| if (count4x4 == 0 && count16x16_lp == 0 && count16x16_16x16p == 0 &&
|
| count32x32 == 0) {
|
| cm->tx_mode = ALLOW_8X8;
|
| @@ -4018,7 +3964,5 @@ static void encode_superblock(VP9_COMP *cpi, ThreadData *td,
|
| if (mi_col + x < cm->mi_cols && mi_row + y < cm->mi_rows)
|
| mi_8x8[mis * y + x].src_mi->mbmi.tx_size = tx_size;
|
| }
|
| - ++td->counts->tx.tx_totals[mbmi->tx_size];
|
| - ++td->counts->tx.tx_totals[get_uv_tx_size(mbmi, &xd->plane[1])];
|
| }
|
| }
|
|
|