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authorMichael Niedermayer <michael@niedermayer.cc>2017-01-22 21:43:06 +0100
committerMichael Niedermayer <michael@niedermayer.cc>2017-01-22 21:43:06 +0100
commita0341b4d74f4db289e15dac0d2988eaa2d18a1bb (patch)
treea6f02c8ac4a3d8bcd96ab49f6f6fad9fe1d8bd8f /libavcodec
parentd9d9fd9446eb722fd288f56d905f0dfde661af8f (diff)
downloadffmpeg-streaming-a0341b4d74f4db289e15dac0d2988eaa2d18a1bb.zip
ffmpeg-streaming-a0341b4d74f4db289e15dac0d2988eaa2d18a1bb.tar.gz
avcodec/error_resilience: update indention after last commit
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Diffstat (limited to 'libavcodec')
-rw-r--r--libavcodec/error_resilience.c346
1 files changed, 173 insertions, 173 deletions
diff --git a/libavcodec/error_resilience.c b/libavcodec/error_resilience.c
index 6b457a9..c73d4a7 100644
--- a/libavcodec/error_resilience.c
+++ b/libavcodec/error_resilience.c
@@ -497,196 +497,196 @@ static void guess_mv(ERContext *s)
av_assert2(fixed[mb_xy] != MV_FROZEN);
- av_assert1(!IS_INTRA(s->cur_pic.mb_type[mb_xy]));
- av_assert1(s->last_pic.f && s->last_pic.f->data[0]);
-
- j = 0;
- if (mb_x > 0)
- j |= fixed[mb_xy - 1];
- if (mb_x + 1 < mb_width)
- j |= fixed[mb_xy + 1];
- if (mb_y > 0)
- j |= fixed[mb_xy - mb_stride];
- if (mb_y + 1 < mb_height)
- j |= fixed[mb_xy + mb_stride];
-
- av_assert2(j & MV_FROZEN);
-
- if (!(j & MV_CHANGED) && pass > 1)
- continue;
+ av_assert1(!IS_INTRA(s->cur_pic.mb_type[mb_xy]));
+ av_assert1(s->last_pic.f && s->last_pic.f->data[0]);
- none_left = 0;
- pred_count = 0;
- mot_index = (mb_x + mb_y * mot_stride) * mot_step;
+ j = 0;
+ if (mb_x > 0)
+ j |= fixed[mb_xy - 1];
+ if (mb_x + 1 < mb_width)
+ j |= fixed[mb_xy + 1];
+ if (mb_y > 0)
+ j |= fixed[mb_xy - mb_stride];
+ if (mb_y + 1 < mb_height)
+ j |= fixed[mb_xy + mb_stride];
- if (mb_x > 0 && fixed[mb_xy - 1] > 1) {
- mv_predictor[pred_count][0] =
- s->cur_pic.motion_val[0][mot_index - mot_step][0];
- mv_predictor[pred_count][1] =
- s->cur_pic.motion_val[0][mot_index - mot_step][1];
- ref[pred_count] =
- s->cur_pic.ref_index[0][4 * (mb_xy - 1)];
- pred_count++;
- }
- if (mb_x + 1 < mb_width && fixed[mb_xy + 1] > 1) {
- mv_predictor[pred_count][0] =
- s->cur_pic.motion_val[0][mot_index + mot_step][0];
- mv_predictor[pred_count][1] =
- s->cur_pic.motion_val[0][mot_index + mot_step][1];
- ref[pred_count] =
- s->cur_pic.ref_index[0][4 * (mb_xy + 1)];
- pred_count++;
- }
- if (mb_y > 0 && fixed[mb_xy - mb_stride] > 1) {
- mv_predictor[pred_count][0] =
- s->cur_pic.motion_val[0][mot_index - mot_stride * mot_step][0];
- mv_predictor[pred_count][1] =
- s->cur_pic.motion_val[0][mot_index - mot_stride * mot_step][1];
- ref[pred_count] =
- s->cur_pic.ref_index[0][4 * (mb_xy - s->mb_stride)];
- pred_count++;
- }
- if (mb_y + 1<mb_height && fixed[mb_xy + mb_stride] > 1) {
- mv_predictor[pred_count][0] =
- s->cur_pic.motion_val[0][mot_index + mot_stride * mot_step][0];
- mv_predictor[pred_count][1] =
- s->cur_pic.motion_val[0][mot_index + mot_stride * mot_step][1];
- ref[pred_count] =
- s->cur_pic.ref_index[0][4 * (mb_xy + s->mb_stride)];
- pred_count++;
- }
- if (pred_count == 0)
- continue;
+ av_assert2(j & MV_FROZEN);
- if (pred_count > 1) {
- int sum_x = 0, sum_y = 0, sum_r = 0;
- int max_x, max_y, min_x, min_y, max_r, min_r;
-
- for (j = 0; j < pred_count; j++) {
- sum_x += mv_predictor[j][0];
- sum_y += mv_predictor[j][1];
- sum_r += ref[j];
- if (j && ref[j] != ref[j - 1])
- goto skip_mean_and_median;
- }
-
- /* mean */
- mv_predictor[pred_count][0] = sum_x / j;
- mv_predictor[pred_count][1] = sum_y / j;
- ref[pred_count] = sum_r / j;
-
- /* median */
- if (pred_count >= 3) {
- min_y = min_x = min_r = 99999;
- max_y = max_x = max_r = -99999;
- } else {
- min_x = min_y = max_x = max_y = min_r = max_r = 0;
- }
- for (j = 0; j < pred_count; j++) {
- max_x = FFMAX(max_x, mv_predictor[j][0]);
- max_y = FFMAX(max_y, mv_predictor[j][1]);
- max_r = FFMAX(max_r, ref[j]);
- min_x = FFMIN(min_x, mv_predictor[j][0]);
- min_y = FFMIN(min_y, mv_predictor[j][1]);
- min_r = FFMIN(min_r, ref[j]);
- }
- mv_predictor[pred_count + 1][0] = sum_x - max_x - min_x;
- mv_predictor[pred_count + 1][1] = sum_y - max_y - min_y;
- ref[pred_count + 1] = sum_r - max_r - min_r;
-
- if (pred_count == 4) {
- mv_predictor[pred_count + 1][0] /= 2;
- mv_predictor[pred_count + 1][1] /= 2;
- ref[pred_count + 1] /= 2;
- }
- pred_count += 2;
- }
+ if (!(j & MV_CHANGED) && pass > 1)
+ continue;
-skip_mean_and_median:
- /* zero MV */
+ none_left = 0;
+ pred_count = 0;
+ mot_index = (mb_x + mb_y * mot_stride) * mot_step;
+
+ if (mb_x > 0 && fixed[mb_xy - 1] > 1) {
mv_predictor[pred_count][0] =
+ s->cur_pic.motion_val[0][mot_index - mot_step][0];
mv_predictor[pred_count][1] =
- ref[pred_count] = 0;
+ s->cur_pic.motion_val[0][mot_index - mot_step][1];
+ ref[pred_count] =
+ s->cur_pic.ref_index[0][4 * (mb_xy - 1)];
pred_count++;
-
- prev_x = s->cur_pic.motion_val[0][mot_index][0];
- prev_y = s->cur_pic.motion_val[0][mot_index][1];
- prev_ref = s->cur_pic.ref_index[0][4 * mb_xy];
-
- /* last MV */
- mv_predictor[pred_count][0] = prev_x;
- mv_predictor[pred_count][1] = prev_y;
- ref[pred_count] = prev_ref;
+ }
+ if (mb_x + 1 < mb_width && fixed[mb_xy + 1] > 1) {
+ mv_predictor[pred_count][0] =
+ s->cur_pic.motion_val[0][mot_index + mot_step][0];
+ mv_predictor[pred_count][1] =
+ s->cur_pic.motion_val[0][mot_index + mot_step][1];
+ ref[pred_count] =
+ s->cur_pic.ref_index[0][4 * (mb_xy + 1)];
+ pred_count++;
+ }
+ if (mb_y > 0 && fixed[mb_xy - mb_stride] > 1) {
+ mv_predictor[pred_count][0] =
+ s->cur_pic.motion_val[0][mot_index - mot_stride * mot_step][0];
+ mv_predictor[pred_count][1] =
+ s->cur_pic.motion_val[0][mot_index - mot_stride * mot_step][1];
+ ref[pred_count] =
+ s->cur_pic.ref_index[0][4 * (mb_xy - s->mb_stride)];
+ pred_count++;
+ }
+ if (mb_y + 1<mb_height && fixed[mb_xy + mb_stride] > 1) {
+ mv_predictor[pred_count][0] =
+ s->cur_pic.motion_val[0][mot_index + mot_stride * mot_step][0];
+ mv_predictor[pred_count][1] =
+ s->cur_pic.motion_val[0][mot_index + mot_stride * mot_step][1];
+ ref[pred_count] =
+ s->cur_pic.ref_index[0][4 * (mb_xy + s->mb_stride)];
pred_count++;
+ }
+ if (pred_count == 0)
+ continue;
+
+ if (pred_count > 1) {
+ int sum_x = 0, sum_y = 0, sum_r = 0;
+ int max_x, max_y, min_x, min_y, max_r, min_r;
- best_pred = 0;
- best_score = 256 * 256 * 256 * 64;
for (j = 0; j < pred_count; j++) {
- int *linesize = s->cur_pic.f->linesize;
- int score = 0;
- uint8_t *src = s->cur_pic.f->data[0] +
- mb_x * 16 + mb_y * 16 * linesize[0];
+ sum_x += mv_predictor[j][0];
+ sum_y += mv_predictor[j][1];
+ sum_r += ref[j];
+ if (j && ref[j] != ref[j - 1])
+ goto skip_mean_and_median;
+ }
- s->cur_pic.motion_val[0][mot_index][0] =
- s->mv[0][0][0] = mv_predictor[j][0];
- s->cur_pic.motion_val[0][mot_index][1] =
- s->mv[0][0][1] = mv_predictor[j][1];
-
- // predictor intra or otherwise not available
- if (ref[j] < 0)
- continue;
-
- s->decode_mb(s->opaque, ref[j], MV_DIR_FORWARD,
- MV_TYPE_16X16, &s->mv, mb_x, mb_y, 0, 0);
-
- if (mb_x > 0 && fixed[mb_xy - 1] > 1) {
- int k;
- for (k = 0; k < 16; k++)
- score += FFABS(src[k * linesize[0] - 1] -
- src[k * linesize[0]]);
- }
- if (mb_x + 1 < mb_width && fixed[mb_xy + 1] > 1) {
- int k;
- for (k = 0; k < 16; k++)
- score += FFABS(src[k * linesize[0] + 15] -
- src[k * linesize[0] + 16]);
- }
- if (mb_y > 0 && fixed[mb_xy - mb_stride] > 1) {
- int k;
- for (k = 0; k < 16; k++)
- score += FFABS(src[k - linesize[0]] - src[k]);
- }
- if (mb_y + 1 < mb_height && fixed[mb_xy + mb_stride] > 1) {
- int k;
- for (k = 0; k < 16; k++)
- score += FFABS(src[k + linesize[0] * 15] -
- src[k + linesize[0] * 16]);
- }
-
- if (score <= best_score) { // <= will favor the last MV
- best_score = score;
- best_pred = j;
- }
+ /* mean */
+ mv_predictor[pred_count][0] = sum_x / j;
+ mv_predictor[pred_count][1] = sum_y / j;
+ ref[pred_count] = sum_r / j;
+
+ /* median */
+ if (pred_count >= 3) {
+ min_y = min_x = min_r = 99999;
+ max_y = max_x = max_r = -99999;
+ } else {
+ min_x = min_y = max_x = max_y = min_r = max_r = 0;
+ }
+ for (j = 0; j < pred_count; j++) {
+ max_x = FFMAX(max_x, mv_predictor[j][0]);
+ max_y = FFMAX(max_y, mv_predictor[j][1]);
+ max_r = FFMAX(max_r, ref[j]);
+ min_x = FFMIN(min_x, mv_predictor[j][0]);
+ min_y = FFMIN(min_y, mv_predictor[j][1]);
+ min_r = FFMIN(min_r, ref[j]);
+ }
+ mv_predictor[pred_count + 1][0] = sum_x - max_x - min_x;
+ mv_predictor[pred_count + 1][1] = sum_y - max_y - min_y;
+ ref[pred_count + 1] = sum_r - max_r - min_r;
+
+ if (pred_count == 4) {
+ mv_predictor[pred_count + 1][0] /= 2;
+ mv_predictor[pred_count + 1][1] /= 2;
+ ref[pred_count + 1] /= 2;
}
- score_sum += best_score;
- s->mv[0][0][0] = mv_predictor[best_pred][0];
- s->mv[0][0][1] = mv_predictor[best_pred][1];
+ pred_count += 2;
+ }
- for (i = 0; i < mot_step; i++)
- for (j = 0; j < mot_step; j++) {
- s->cur_pic.motion_val[0][mot_index + i + j * mot_stride][0] = s->mv[0][0][0];
- s->cur_pic.motion_val[0][mot_index + i + j * mot_stride][1] = s->mv[0][0][1];
- }
+skip_mean_and_median:
+ /* zero MV */
+ mv_predictor[pred_count][0] =
+ mv_predictor[pred_count][1] =
+ ref[pred_count] = 0;
+ pred_count++;
+
+ prev_x = s->cur_pic.motion_val[0][mot_index][0];
+ prev_y = s->cur_pic.motion_val[0][mot_index][1];
+ prev_ref = s->cur_pic.ref_index[0][4 * mb_xy];
+
+ /* last MV */
+ mv_predictor[pred_count][0] = prev_x;
+ mv_predictor[pred_count][1] = prev_y;
+ ref[pred_count] = prev_ref;
+ pred_count++;
+
+ best_pred = 0;
+ best_score = 256 * 256 * 256 * 64;
+ for (j = 0; j < pred_count; j++) {
+ int *linesize = s->cur_pic.f->linesize;
+ int score = 0;
+ uint8_t *src = s->cur_pic.f->data[0] +
+ mb_x * 16 + mb_y * 16 * linesize[0];
+
+ s->cur_pic.motion_val[0][mot_index][0] =
+ s->mv[0][0][0] = mv_predictor[j][0];
+ s->cur_pic.motion_val[0][mot_index][1] =
+ s->mv[0][0][1] = mv_predictor[j][1];
+
+ // predictor intra or otherwise not available
+ if (ref[j] < 0)
+ continue;
- s->decode_mb(s->opaque, ref[best_pred], MV_DIR_FORWARD,
+ s->decode_mb(s->opaque, ref[j], MV_DIR_FORWARD,
MV_TYPE_16X16, &s->mv, mb_x, mb_y, 0, 0);
+ if (mb_x > 0 && fixed[mb_xy - 1] > 1) {
+ int k;
+ for (k = 0; k < 16; k++)
+ score += FFABS(src[k * linesize[0] - 1] -
+ src[k * linesize[0]]);
+ }
+ if (mb_x + 1 < mb_width && fixed[mb_xy + 1] > 1) {
+ int k;
+ for (k = 0; k < 16; k++)
+ score += FFABS(src[k * linesize[0] + 15] -
+ src[k * linesize[0] + 16]);
+ }
+ if (mb_y > 0 && fixed[mb_xy - mb_stride] > 1) {
+ int k;
+ for (k = 0; k < 16; k++)
+ score += FFABS(src[k - linesize[0]] - src[k]);
+ }
+ if (mb_y + 1 < mb_height && fixed[mb_xy + mb_stride] > 1) {
+ int k;
+ for (k = 0; k < 16; k++)
+ score += FFABS(src[k + linesize[0] * 15] -
+ src[k + linesize[0] * 16]);
+ }
+
+ if (score <= best_score) { // <= will favor the last MV
+ best_score = score;
+ best_pred = j;
+ }
+ }
+ score_sum += best_score;
+ s->mv[0][0][0] = mv_predictor[best_pred][0];
+ s->mv[0][0][1] = mv_predictor[best_pred][1];
+
+ for (i = 0; i < mot_step; i++)
+ for (j = 0; j < mot_step; j++) {
+ s->cur_pic.motion_val[0][mot_index + i + j * mot_stride][0] = s->mv[0][0][0];
+ s->cur_pic.motion_val[0][mot_index + i + j * mot_stride][1] = s->mv[0][0][1];
+ }
+
+ s->decode_mb(s->opaque, ref[best_pred], MV_DIR_FORWARD,
+ MV_TYPE_16X16, &s->mv, mb_x, mb_y, 0, 0);
+
- if (s->mv[0][0][0] != prev_x || s->mv[0][0][1] != prev_y) {
- fixed[mb_xy] = MV_CHANGED;
- changed++;
- } else
- fixed[mb_xy] = MV_UNCHANGED;
+ if (s->mv[0][0][0] != prev_x || s->mv[0][0][1] != prev_y) {
+ fixed[mb_xy] = MV_CHANGED;
+ changed++;
+ } else
+ fixed[mb_xy] = MV_UNCHANGED;
}
}
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