--- /dev/null
+use nihav_core::codecs::*;
+use nihav_codec_support::codecs::ZERO_MV;
+use super::super::vp78::PredMode;
+use super::super::vp78dsp::*;
+use super::super::vp7dsp::*;
+use super::blocks::*;
+use super::coder::*;
+use super::mb_coding::*;
+use super::models::*;
+use super::motion_est::*;
+use super::rdo::*;
+
+const MBT_Q_OFFSET: usize = 3;
+
+pub struct LoopParams {
+ pub loop_sharpness: u8,
+ pub loop_filter_level: u8,
+ pub lf_simple: bool,
+}
+
+pub struct FrameEncoder {
+ mb_w: usize,
+ mb_h: usize,
+ pub loop_params: LoopParams,
+
+ sblocks: Vec<SrcBlock>,
+ res: Vec<Residue>,
+ mbtypes: Vec<MBType>,
+ recon: Vec<SrcBlock>,
+ features: Vec<u8>,
+ has_features: bool,
+
+ pctx: PredContext,
+
+ me_mode: MVSearchMode,
+ me_range: i16,
+ mc_buf1: NAVideoBufferRef<u8>,
+ mc_buf2: NAVideoBufferRef<u8>,
+ mv_search_last: Box<dyn MVSearch + Send>,
+ mv_search_gold: Box<dyn MVSearch + Send>,
+}
+
+impl FrameEncoder {
+ pub fn new(mc_buf1: NAVideoBufferRef<u8>, mc_buf2: NAVideoBufferRef<u8>) -> Self {
+ let me_mode = MVSearchMode::default();
+
+ Self {
+ mb_w: 0,
+ mb_h: 0,
+
+ sblocks: Vec::new(),
+ res: Vec::new(),
+ mbtypes: Vec::new(),
+ recon: Vec::new(),
+ features: Vec::new(),
+ has_features: false,
+
+ pctx: PredContext::new(),
+
+ loop_params: LoopParams {
+ loop_filter_level: 0,
+ loop_sharpness: 0,
+ lf_simple: true,
+ },
+ me_mode,
+ me_range: 0,
+ mv_search_last: me_mode.create_search(),
+ mv_search_gold: me_mode.create_search(),
+ mc_buf1, mc_buf2,
+ }
+ }
+ pub fn resize(&mut self, mb_w: usize, mb_h: usize) {
+ self.mb_w = mb_w;
+ self.mb_h = mb_h;
+
+ self.pctx.resize(mb_w, mb_h);
+
+ self.sblocks.clear();
+ self.sblocks.reserve(mb_w * mb_h);
+ self.res.clear();
+ self.res.reserve(mb_w * mb_h);
+ self.mbtypes.clear();
+ self.mbtypes.reserve(mb_w * mb_h);
+ self.recon.clear();
+ self.recon.reserve(mb_w * mb_h);
+ self.features.clear();
+ self.features.reserve(mb_w * mb_h);
+ }
+ pub fn set_me_params(&mut self, me_mode: MVSearchMode, me_range: i16, version: u8) {
+ self.me_range = me_range;
+ if self.me_mode != me_mode {
+ self.me_mode = me_mode;
+ self.mv_search_last = me_mode.create_search();
+ self.mv_search_gold = me_mode.create_search();
+ }
+ self.pctx.version = version;
+ }
+ pub fn load_frame(&mut self, vbuf: &NAVideoBuffer<u8>) {
+ load_blocks(vbuf, &mut self.sblocks);
+ }
+
+ pub fn mb_tree_search(&mut self, ref_frm: NAVideoBufferRef<u8>, mb_map: &[usize], new_mb_map: &mut [usize], mb_weights: &mut [usize]) {
+ let mut mv_est = MVEstimator::new(ref_frm, self.mc_buf1.clone(), self.me_range);
+ self.mv_search_last.preinit(&mv_est);
+ let mut mb_idx = 0;
+ new_mb_map.copy_from_slice(mb_map);
+ for (mb_y, mb_row) in self.sblocks.chunks(self.mb_w).enumerate() {
+ for (mb_x, blk) in mb_row.iter().enumerate() {
+ let (mv, _) = self.mv_search_last.search_mb(&mut mv_est, blk, mb_x, mb_y);
+
+ if mv != ZERO_MV {
+ let new_x = ((((mb_x as isize) * 64 + (mv.x as isize) + 32) >> 6).max(0) as usize).min(self.mb_w - 1);
+ let new_y = ((((mb_y as isize) * 64 + (mv.y as isize) + 32) >> 6).max(0) as usize).min(self.mb_h - 1);
+ let nidx = new_x + new_y * self.mb_w;
+ new_mb_map[mb_idx] = mb_map[nidx];
+ }
+ mb_weights[new_mb_map[mb_idx]] += 1;
+ mb_idx += 1;
+ }
+ }
+ }
+
+ pub fn intra_blocks(&mut self, base_q: usize, metric: &RateDistMetric, models: &VP7Models, mbt_map: Option<&[usize]>) {
+ self.mbtypes.clear();
+ self.pctx.reset();
+ self.pctx.reset_intra();
+ self.res.clear();
+ self.recon.clear();
+ self.features.clear();
+
+ self.has_features = false;
+ if base_q > MBT_Q_OFFSET {
+ if let Some(map) = mbt_map {
+ let sum: usize = map.iter().sum();
+ let size = map.len();
+ let avg = (sum + size / 2) / size;
+ for &val in map.iter() {
+ if val > avg {
+ self.features.push(1);
+ self.has_features = true;
+ } else {
+ self.features.push(0);
+ }
+ }
+ } else {
+ for _ in 0..(self.mb_w * self.mb_h) {
+ self.features.push(0);
+ }
+ }
+ }
+
+ let mut imctx = IntraModePredCtx {
+ metric,
+ models,
+ tr: [0; 4],
+ q: base_q,
+ ipred_y: IPredContext::default(),
+ ipred_u: IPredContext::default(),
+ ipred_v: IPredContext::default(),
+ pctx: BlockPCtx::default(),
+ };
+
+ for (mb_y, mb_row) in self.sblocks.chunks_mut(self.mb_w).enumerate() {
+ imctx.ipred_y.has_top = mb_y != 0;
+ imctx.ipred_u.has_top = mb_y != 0;
+ imctx.ipred_v.has_top = mb_y != 0;
+
+ for (mb_x, sblk) in mb_row.iter().enumerate() {
+ self.pctx.fill_ipred(0, mb_x, &mut imctx.ipred_y);
+ self.pctx.fill_ipred(1, mb_x, &mut imctx.ipred_u);
+ self.pctx.fill_ipred(2, mb_x, &mut imctx.ipred_v);
+ self.pctx.fill_pctx(mb_x, &mut imctx.pctx);
+ if self.has_features {
+ imctx.q = if self.features[mb_x + mb_y * self.mb_w] != 0 {
+ base_q - MBT_Q_OFFSET
+ } else {
+ base_q
+ };
+ }
+
+ let mut res = Residue::new();
+ let mut newblk = SrcBlock::default();
+
+ imctx.tr = self.pctx.get_ipred_tr(mb_x);
+ let mut mb_type = select_intra_mode(sblk, &mut newblk, &mut res, &imctx, MAX_DIST, MBType::InterNoMV(false, [0;4]));
+
+ let use_i4 = match mb_type {
+ MBType::Intra(best_ymode, best_cmode) => {
+ sblk.apply_ipred_luma(best_ymode, &imctx.ipred_y, &mut res);
+ newblk.fill_ipred_luma(best_ymode, &imctx.ipred_y);
+ sblk.apply_ipred_chroma(best_cmode, &imctx.ipred_u, &imctx.ipred_v, &mut res);
+ newblk.fill_ipred_chroma(best_cmode, &imctx.ipred_u, &imctx.ipred_v);
+ res.fdct();
+ res.fdct_dc_block();
+
+ self.pctx.ymodes.set_mode(mb_x, best_ymode);
+
+ false
+ },
+ MBType::Intra4x4(ref i4_modes, ref mut i4ctx, best_cmode) => {
+ sblk.apply_ipred_chroma(best_cmode, &imctx.ipred_u, &imctx.ipred_v, &mut res);
+ newblk.fill_ipred_chroma(best_cmode, &imctx.ipred_u, &imctx.ipred_v);
+ res.fdct();
+
+ self.pctx.ymodes.set_modes4x4(mb_x, i4_modes, i4ctx);
+
+ true
+ },
+ _ => unreachable!(),
+ };
+
+ res.quant(imctx.q);
+ self.pctx.set_nz(mb_x, &res);
+ let mut recon = res.clone();
+ self.res.push(res);
+ self.mbtypes.push(mb_type);
+
+ if !use_i4 {
+ recon.add_residue(&mut newblk);
+ } else {
+ recon.add_residue_chroma(&mut newblk);
+ }
+
+ self.pctx.update_mb(&newblk, mb_x);
+ self.recon.push(newblk);
+ }
+ self.pctx.update_mb_row();
+ }
+ }
+ pub fn inter_blocks(&mut self, q: usize, metric: &RateDistMetric, models: &VP7Models, last_frame: &NABufferType, gold_frame: &NABufferType) {
+ self.has_features = false;
+
+ let mut mv_est_last = MVEstimator::new(last_frame.get_vbuf().unwrap(), self.mc_buf1.clone(), self.me_range);
+ self.mv_search_last.preinit(&mv_est_last);
+ let mut mv_est_gold = if let Some(gbuf) = gold_frame.get_vbuf() {
+ let mv_est = MVEstimator::new(gbuf, self.mc_buf2.clone(), self.me_range);
+ self.mv_search_gold.preinit(&mv_est);
+ Some(mv_est)
+ } else {
+ None
+ };
+
+ self.mbtypes.clear();
+ self.pctx.reset();
+ self.pctx.save_dc_pred();
+ self.res.clear();
+ self.recon.clear();
+ self.features.clear();
+
+ let mut imctx = IntraModePredCtx {
+ metric,
+ models,
+ tr: [0; 4],
+ q,
+ ipred_y: IPredContext::default(),
+ ipred_u: IPredContext::default(),
+ ipred_v: IPredContext::default(),
+ pctx: BlockPCtx::default(),
+ };
+
+ for (mb_y, mb_row) in self.sblocks.chunks_mut(self.mb_w).enumerate() {
+ imctx.ipred_y.has_top = mb_y != 0;
+ imctx.ipred_u.has_top = mb_y != 0;
+ imctx.ipred_v.has_top = mb_y != 0;
+
+ for (mb_x, sblk) in mb_row.iter().enumerate() {
+ self.pctx.fill_ipred(0, mb_x, &mut imctx.ipred_y);
+ self.pctx.fill_ipred(1, mb_x, &mut imctx.ipred_u);
+ self.pctx.fill_ipred(2, mb_x, &mut imctx.ipred_v);
+ self.pctx.fill_pctx(mb_x, &mut imctx.pctx);
+
+ let mut res = Residue::new();
+ let mut newblk = SrcBlock::default();
+
+ let (mvprobs, nearest_mv, near_mv, pred_mv) = self.pctx.find_mv_pred(mb_x, mb_y);
+
+ let (mv, _dist) = self.mv_search_last.search_mb(&mut mv_est_last, sblk, mb_x, mb_y);
+
+ mv_est_last.get_mb(&mut newblk, mb_x, mb_y, mv);
+ let mv_nits_dist = metric.calc_metric(0, inter_mv_nits(mv, &mvprobs, nearest_mv, near_mv, pred_mv, models));
+ let last_dist = calc_inter_mb_dist(sblk, &newblk, &mut res, &imctx, self.pctx.get_y2_dc_pred(true)) + mv_nits_dist;
+
+ let (gmv, gold_dist) = if last_dist > SMALL_DIST {
+ if let Some(ref mut mv_est) = &mut mv_est_gold {
+ let (gmv, _gdist) = self.mv_search_gold.search_mb(mv_est, sblk, mb_x, mb_y);
+ mv_est.get_mb(&mut newblk, mb_x, mb_y, gmv);
+ let mv_nits_dist = metric.calc_metric(0, inter_mv_nits(gmv, &mvprobs, nearest_mv, near_mv, pred_mv, models));
+ let gdist = calc_inter_mb_dist(sblk, &newblk, &mut res, &imctx, self.pctx.get_y2_dc_pred(false)) + mv_nits_dist;
+ (gmv, gdist)
+ } else {
+ (ZERO_MV, MAX_DIST)
+ }
+ } else {
+ (ZERO_MV, MAX_DIST)
+ };
+
+ let (last, mut inter_dist, mv, mv_est) = if last_dist < gold_dist {
+ (true, last_dist, mv, &mut mv_est_last)
+ } else if let Some (ref mut mv_est) = &mut mv_est_gold {
+ (false, gold_dist, gmv, mv_est)
+ } else {
+ unreachable!()
+ };
+
+ let mut mb_type = if mv == ZERO_MV {
+ MBType::InterNoMV(last, mvprobs)
+ } else if mv == nearest_mv {
+ MBType::InterNearest(last, mvprobs)
+ } else if mv == near_mv {
+ MBType::InterNear(last, mvprobs)
+ } else {
+ MBType::InterMV(last, mvprobs, mv - pred_mv)
+ };
+ if inter_dist > SMALL_DIST {
+ if let MBType::InterMV(_, _, _) = mb_type { // xxx: maybe do it for all types?
+ let mv_search = if last { &mut self.mv_search_last } else { &mut self.mv_search_gold };
+ if let Some((mbt, dist)) = try_inter_split(sblk, &mut newblk, &mut res, mvprobs, nearest_mv, near_mv, pred_mv, last, mb_x, mb_y, mv_search, mv_est, &mut self.pctx, &imctx, inter_dist) {
+ mb_type = mbt;
+ inter_dist = dist;
+ }
+ }
+ }
+
+ if inter_dist > SMALL_DIST {
+ imctx.tr = self.pctx.get_ipred_tr(mb_x);
+ mb_type = select_intra_mode(sblk, &mut newblk, &mut res, &imctx, inter_dist, mb_type);
+ }
+
+ self.mbtypes.push(mb_type);
+ res.reset();
+ match mb_type {
+ MBType::Intra(ymode, cmode) => {
+ newblk.fill_ipred_luma(ymode, &imctx.ipred_y);
+ newblk.fill_ipred_chroma(cmode, &imctx.ipred_u, &imctx.ipred_v);
+ self.pctx.ymodes.set_mode(mb_x, ymode);
+ self.pctx.fill_mv(mb_x, mb_y, ZERO_MV);
+ },
+ MBType::Intra4x4(ref i4_modes, ref mut i4ctx, cmode) => {
+ newblk.fill_ipred_chroma(cmode, &imctx.ipred_u, &imctx.ipred_v);
+ self.pctx.ymodes.set_modes4x4(mb_x, i4_modes, i4ctx);
+ self.pctx.fill_mv(mb_x, mb_y, ZERO_MV);
+ },
+ MBType::InterNoMV(_, _) |
+ MBType::InterNearest(_, _) |
+ MBType::InterNear(_, _) |
+ MBType::InterMV(_, _, _) => {
+ mv_est.get_mb(&mut newblk, mb_x, mb_y, mv);
+ self.pctx.fill_mv(mb_x, mb_y, mv);
+ self.pctx.ymodes.set_mode(mb_x, PredMode::Inter);
+ },
+ MBType::InterSplitMV(_, _, _, _, _) => {
+ self.pctx.ymodes.set_mode(mb_x, PredMode::Inter);
+ recon_split_mb(&mut newblk, mb_x, mb_y, &self.pctx.mvs, self.pctx.mv_stride, mv_est);
+ },
+ };
+ if let MBType::Intra4x4(_, _, _) = mb_type {
+ res.set_chroma_from_diff(&sblk.chroma, &newblk.chroma);
+ res.fdct();
+ } else {
+ res.set_luma_from_diff(&sblk.luma, &newblk.luma);
+ res.set_chroma_from_diff(&sblk.chroma, &newblk.chroma);
+ res.fdct();
+ res.fdct_dc_block();
+ if !mb_type.is_intra() {
+ requant_y2_dc(&mut res.dcs[0], q);
+ self.pctx.predict_y2_dc(&mut res.dcs[0], last);
+ }
+ }
+
+ res.quant(q);
+ self.pctx.set_nz(mb_x, &res);
+ let mut recon = res.clone();
+ self.res.push(res);
+ self.features.push(0);
+ if let MBType::Intra4x4(_, _, _) = mb_type {
+ recon.add_residue_chroma(&mut newblk);
+ } else {
+ recon.add_residue(&mut newblk);
+ }
+ self.pctx.update_mb(&newblk, mb_x);
+ self.recon.push(newblk);
+ }
+ self.pctx.update_mb_row();
+ }
+ }
+ pub fn encode_features(&self, bc: &mut BoolEncoder, q: usize, models: &VP7Models) -> EncoderResult<()> {
+ if self.has_features {
+ // first feature - quantiser
+ bc.put_bool(true, 128)?;
+ bc.put_byte(models.feature_present[0])?;
+ for &prob in models.feature_tree_probs[0].iter() {
+ bc.put_bool(prob != 255, 128)?;
+ if prob != 255 {
+ bc.put_byte(prob)?;
+ }
+ }
+ bc.put_bool(true, 128)?;
+ bc.put_bits((q - MBT_Q_OFFSET) as u32, 7)?;
+ for _ in 1..4 {
+ bc.put_bool(false, 128)?; // other quants
+ }
+
+ // other features (
+ for _ in 1..4 {
+ bc.put_bool(false, 128)?;
+ }
+ } else {
+ for _ in 0..4 {
+ bc.put_bool(false, 128)?;
+ }
+ }
+ Ok(())
+ }
+ pub fn encode_mb_types(&self, bc: &mut BoolEncoder, is_intra: bool, models: &VP7Models) -> EncoderResult<()> {
+ for (mb_type, &feature) in self.mbtypes.iter().zip(self.features.iter()) {
+ if self.has_features {
+ bc.encode_feature(0, if feature == 0 { None } else { Some(0) }, models)?;
+ }
+ bc.encode_mb_type(is_intra, mb_type, models)?;
+ }
+ Ok(())
+ }
+ pub fn encode_residues(&mut self, bc: &mut BoolEncoder, models: &VP7Models) -> EncoderResult<()> {
+ self.pctx.reset();
+ //self.pctx.restore_dc_pred();
+ for (_mb_y, mb_row) in self.res.chunks(self.mb_w).enumerate() {
+ for (mb_x, blk) in mb_row.iter().enumerate() {
+ if blk.has_dc {
+ let pctx = (self.pctx.nz_y2_left as u8) + (self.pctx.nz_y2_top[mb_x] as u8);
+ bc.encode_subblock(&blk.dcs, 1, pctx, models)?;
+ let has_nz = blk.dcs.has_nz();
+ self.pctx.nz_y2_left = has_nz;
+ self.pctx.nz_y2_top[mb_x] = has_nz;
+ }
+ let ytype = if blk.has_dc { 0 } else { 3 };
+ for (y, blk_row) in blk.luma.chunks(4).enumerate() {
+ for (x, blk) in blk_row.iter().enumerate() {
+ let pctx = (self.pctx.nz_y_left[y] as u8) + (self.pctx.nz_y_top[mb_x * 4 + x] as u8);
+ bc.encode_subblock(blk, ytype, pctx, models)?;
+ let has_nz = blk.has_nz();
+ self.pctx.nz_y_left[y] = has_nz;
+ self.pctx.nz_y_top[mb_x * 4 + x] = has_nz;
+ }
+ }
+
+ for (c, chroma) in blk.chroma.iter().enumerate() {
+ for (y, blk_row) in chroma.chunks(2).enumerate() {
+ for (x, blk) in blk_row.iter().enumerate() {
+ let pctx = (self.pctx.nz_c_left[c][y] as u8) + (self.pctx.nz_c_top[c][mb_x * 2 + x] as u8);
+ bc.encode_subblock(blk, 2, pctx, models)?;
+ let has_nz = blk.has_nz();
+ self.pctx.nz_c_left[c][y] = has_nz;
+ self.pctx.nz_c_top[c][mb_x * 2 + x] = has_nz;
+ }
+ }
+ }
+ }
+ self.pctx.update_mb_row();
+ }
+ Ok(())
+ }
+ pub fn generate_models(&mut self, is_intra: bool, stats: &mut VP7ModelsStat) {
+ stats.reset();
+ let est = Estimator::new();
+ self.pctx.reset();
+ if self.has_features {
+ for &feat in self.features.iter() {
+ est.estimate_feature(0, if feat == 0 { None } else { Some(0) }, stats);
+ }
+ }
+ for (mbt_row, mb_row) in self.mbtypes.chunks(self.mb_w).zip(self.res.chunks(self.mb_w)) {
+ for (mb_x, (mbtype, blk)) in mbt_row.iter().zip(mb_row.iter()).enumerate() {
+ est.estimate_mb_type(is_intra, mbtype, stats);
+ if blk.has_dc {
+ let pctx = (self.pctx.nz_y2_left as u8) + (self.pctx.nz_y2_top[mb_x] as u8);
+ est.estimate_subblock(&blk.dcs, 1, pctx, stats);
+ let has_nz = blk.dcs.has_nz();
+ self.pctx.nz_y2_left = has_nz;
+ self.pctx.nz_y2_top[mb_x] = has_nz;
+ }
+ let ytype = if blk.has_dc { 0 } else { 3 };
+ for (y, blk_row) in blk.luma.chunks(4).enumerate() {
+ for (x, blk) in blk_row.iter().enumerate() {
+ let pctx = (self.pctx.nz_y_left[y] as u8) + (self.pctx.nz_y_top[mb_x * 4 + x] as u8);
+ est.estimate_subblock(blk, ytype, pctx, stats);
+ let has_nz = blk.has_nz();
+ self.pctx.nz_y_left[y] = has_nz;
+ self.pctx.nz_y_top[mb_x * 4 + x] = has_nz;
+ }
+ }
+
+ for (c, chroma) in blk.chroma.iter().enumerate() {
+ for (y, blk_row) in chroma.chunks(2).enumerate() {
+ for (x, blk) in blk_row.iter().enumerate() {
+ let pctx = (self.pctx.nz_c_left[c][y] as u8) + (self.pctx.nz_c_top[c][mb_x * 2 + x] as u8);
+ est.estimate_subblock(blk, 2, pctx, stats);
+ let has_nz = blk.has_nz();
+ self.pctx.nz_c_left[c][y] = has_nz;
+ self.pctx.nz_c_top[c][mb_x * 2 + x] = has_nz;
+ }
+ }
+ }
+ }
+ self.pctx.update_mb_row();
+ }
+ }
+ pub fn reconstruct_frame(&mut self, frm: &mut NASimpleVideoFrame<u8>, is_intra: bool) {
+ let mut yidx = frm.offset[0];
+ let mut uidx = frm.offset[1];
+ let mut vidx = frm.offset[2];
+ let ystride = frm.stride[0];
+ let ustride = frm.stride[1];
+ let vstride = frm.stride[2];
+
+ for (mb_y, (f_row, mb_row)) in self.features.chunks(self.mb_w).zip(self.recon.chunks(self.mb_w)).enumerate() {
+ for (mb_x, (&feature, sblk)) in f_row.iter().zip(mb_row.iter()).enumerate() {
+ let dst = &mut frm.data[yidx + mb_x * 16..];
+ for (dst, src) in dst.chunks_mut(ystride).zip(sblk.luma.chunks(16)) {
+ dst[..16].copy_from_slice(src);
+ }
+ let dst = &mut frm.data[uidx + mb_x * 8..];
+ for (dst, src) in dst.chunks_mut(ustride).zip(sblk.chroma[0].chunks(8)) {
+ dst[..8].copy_from_slice(src);
+ }
+ let dst = &mut frm.data[vidx + mb_x * 8..];
+ for (dst, src) in dst.chunks_mut(vstride).zip(sblk.chroma[1].chunks(8)) {
+ dst[..8].copy_from_slice(src);
+ }
+
+ let loop_str = if feature != 2 {
+ self.loop_params.loop_filter_level
+ } else { 0 }; //todo
+ loop_filter_mb(frm, mb_x, mb_y, loop_str, &self.loop_params, is_intra);
+ }
+ yidx += ystride * 16;
+ uidx += ustride * 8;
+ vidx += vstride * 8;
+ }
+ }
+}
+
+fn loop_filter_mb(dframe: &mut NASimpleVideoFrame<u8>, mb_x: usize, mb_y: usize, loop_str: u8, loop_params: &LoopParams, is_intra: bool) {
+ const HIGH_EDGE_VAR_THR: [[u8; 64]; 2] = [
+ [
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
+ 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
+ 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3,
+ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3
+ ], [
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
+ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
+ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2,
+ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2
+ ]];
+
+ let edge_thr = i16::from(loop_str) + 2;
+ let luma_thr = i16::from(loop_str);
+ let chroma_thr = i16::from(loop_str) * 2;
+ let inner_thr = if loop_params.loop_sharpness == 0 {
+ i16::from(loop_str)
+ } else {
+ let bound1 = i16::from(9 - loop_params.loop_sharpness);
+ let shift = (loop_params.loop_sharpness + 3) >> 2;
+ (i16::from(loop_str) >> shift).min(bound1)
+ };
+ let hev_thr = i16::from(HIGH_EDGE_VAR_THR[if is_intra { 1 } else { 0 }][loop_str as usize]);
+
+ let ystride = dframe.stride[0];
+ let ustride = dframe.stride[1];
+ let vstride = dframe.stride[2];
+ let ypos = dframe.offset[0] + mb_x * 16 + mb_y * 16 * ystride;
+ let upos = dframe.offset[1] + mb_x * 8 + mb_y * 8 * ustride;
+ let vpos = dframe.offset[2] + mb_x * 8 + mb_y * 8 * vstride;
+
+ let (loop_edge, loop_inner) = if loop_params.lf_simple {
+ (simple_loop_filter as LoopFilterFunc, simple_loop_filter as LoopFilterFunc)
+ } else {
+ (normal_loop_filter_edge as LoopFilterFunc, normal_loop_filter_inner as LoopFilterFunc)
+ };
+
+ if mb_x > 0 {
+ loop_edge(dframe.data, ypos, 1, ystride, 16, edge_thr, inner_thr, hev_thr);
+ loop_edge(dframe.data, upos, 1, ustride, 8, edge_thr, inner_thr, hev_thr);
+ loop_edge(dframe.data, vpos, 1, vstride, 8, edge_thr, inner_thr, hev_thr);
+ }
+ if mb_y > 0 {
+ loop_edge(dframe.data, ypos, ystride, 1, 16, edge_thr, inner_thr, hev_thr);
+ loop_edge(dframe.data, upos, ustride, 1, 8, edge_thr, inner_thr, hev_thr);
+ loop_edge(dframe.data, vpos, vstride, 1, 8, edge_thr, inner_thr, hev_thr);
+ }
+
+ for y in 1..4 {
+ loop_inner(dframe.data, ypos + y * 4 * ystride, ystride, 1, 16, luma_thr, inner_thr, hev_thr);
+ }
+ loop_inner(dframe.data, upos + 4 * ustride, ustride, 1, 8, chroma_thr, inner_thr, hev_thr);
+ loop_inner(dframe.data, vpos + 4 * vstride, vstride, 1, 8, chroma_thr, inner_thr, hev_thr);
+
+ for x in 1..4 {
+ loop_inner(dframe.data, ypos + x * 4, 1, ystride, 16, luma_thr, inner_thr, hev_thr);
+ }
+ loop_inner(dframe.data, upos + 4, 1, ustride, 8, chroma_thr, inner_thr, hev_thr);
+ loop_inner(dframe.data, vpos + 4, 1, vstride, 8, chroma_thr, inner_thr, hev_thr);
+}
projects / nihav.git / blobdiff