diff options
author | Michael Niedermayer <michael@niedermayer.cc> | 2017-01-22 23:43:06 +0300 |
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committer | Michael Niedermayer <michael@niedermayer.cc> | 2017-01-22 23:43:06 +0300 |
commit | a0341b4d74f4db289e15dac0d2988eaa2d18a1bb (patch) | |
tree | a6f02c8ac4a3d8bcd96ab49f6f6fad9fe1d8bd8f /libavcodec/error_resilience.c | |
parent | d9d9fd9446eb722fd288f56d905f0dfde661af8f (diff) |
avcodec/error_resilience: update indention after last commit
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Diffstat (limited to 'libavcodec/error_resilience.c')
-rw-r--r-- | libavcodec/error_resilience.c | 346 |
1 files changed, 173 insertions, 173 deletions
diff --git a/libavcodec/error_resilience.c b/libavcodec/error_resilience.c index 6b457a91d5..c73d4a7349 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; } } |