1 use nihav_core::codecs::*;
2 use nihav_core::io::bitreader::*;
3 use super::vpcommon::*;
14 impl VP56Parser for VP5BR {
15 fn parse_header(&mut self, bc: &mut BoolCoder) -> DecoderResult<VP56Header> {
16 let mut hdr = VP56Header::default();
17 hdr.is_intra = !bc.read_bool();
18 hdr.is_golden = hdr.is_intra;
20 hdr.quant = bc.read_bits(6) as u8;
22 hdr.version = bc.read_bits(13) as u8;
23 validate!(hdr.version == 5);
24 hdr.profile = bc.read_bits(2) as u8;
25 hdr.interlaced = bc.read_bool();
26 validate!(!hdr.interlaced);
27 hdr.mb_h = bc.read_bits(8) as u8;
28 hdr.mb_w = bc.read_bits(8) as u8;
29 hdr.disp_h = bc.read_bits(8) as u8;
30 hdr.disp_w = bc.read_bits(8) as u8;
31 validate!((hdr.mb_h > 0) && (hdr.mb_w > 0) && (hdr.disp_w > 0) && (hdr.disp_h > 0));
32 validate!((hdr.disp_w <= hdr.mb_w) && (hdr.disp_h <= hdr.mb_h));
33 hdr.scale = bc.read_bits(2) as u8;
38 fn decode_mv(&self, bc: &mut BoolCoder, model: &VP56MVModel) -> i16 {
39 if bc.read_prob(model.nz_prob) {
40 let sign = bc.read_prob(model.sign_prob);
41 let b0 = bc.read_prob(model.raw_probs[0]) as i16;
42 let b1 = bc.read_prob(model.raw_probs[1]) as i16;
43 let top: i16 = vp_tree!(bc, model.tree_probs[0],
44 vp_tree!(bc, model.tree_probs[1],
45 vp_tree!(bc, model.tree_probs[2], 0, 1),
46 vp_tree!(bc, model.tree_probs[3], 2, 3)
48 vp_tree!(bc, model.tree_probs[4],
49 vp_tree!(bc, model.tree_probs[5], 4, 5),
50 vp_tree!(bc, model.tree_probs[6], 6, 7)
53 let val = (top << 2) | (b1 << 1) | b0;
63 fn reset_models(&self, models: &mut VP56Models) {
64 for mdl in models.mv_models.iter_mut() {
67 mdl.raw_probs[0] = 85;
68 mdl.raw_probs[1] = 128;
69 mdl.tree_probs = [128; 7];
72 fn decode_mv_models(&self, bc: &mut BoolCoder, models: &mut [VP56MVModel; 2]) -> DecoderResult<()> {
73 const HAS_NZ_PROB: [u8; 2] = [ 243, 235 ];
74 const HAS_SIGN_PROB: [u8; 2] = [ 220, 211 ];
75 const HAS_RAW0_PROB: [u8; 2] = [ 251, 246 ];
76 const HAS_RAW1_PROB: [u8; 2] = [ 253, 249 ];
77 const HAS_TREE_PROB: [[u8; 7]; 2] = [
78 [ 237, 232, 241, 245, 247, 251, 253 ],
79 [ 234, 231, 248, 249, 252, 252, 254 ]
82 if bc.read_prob(HAS_NZ_PROB[comp]) {
83 models[comp].nz_prob = bc.read_probability();
85 if bc.read_prob(HAS_SIGN_PROB[comp]) {
86 models[comp].sign_prob = bc.read_probability();
88 if bc.read_prob(HAS_RAW0_PROB[comp]) {
89 models[comp].raw_probs[0] = bc.read_probability();
91 if bc.read_prob(HAS_RAW1_PROB[comp]) {
92 models[comp].raw_probs[1] = bc.read_probability();
97 if bc.read_prob(HAS_TREE_PROB[comp][i]) {
98 models[comp].tree_probs[i] = bc.read_probability();
104 fn decode_coeff_models(&self, bc: &mut BoolCoder, models: &mut VP56Models, is_intra: bool) -> DecoderResult<()> {
105 const COEF_PROBS: [[u8; 11]; 2] = [
106 [ 146, 197, 181, 207, 232, 243, 238, 251, 244, 250, 249 ],
107 [ 179, 219, 214, 240, 250, 254, 244, 254, 254, 254, 254 ]
110 let mut def_prob = [128u8; 11];
113 if bc.read_prob(COEF_PROBS[plane][i]) {
114 def_prob[i] = bc.read_probability();
115 models.coeff_models[plane].dc_value_probs[i] = def_prob[i];
117 models.coeff_models[plane].dc_value_probs[i] = def_prob[i];
125 if bc.read_prob(VP5_AC_PROBS[ctype][plane][group][i]) {
126 def_prob[i] = bc.read_probability();
127 models.coeff_models[plane].ac_val_probs[ctype][group][i] = def_prob[i];
129 models.coeff_models[plane].ac_val_probs[ctype][group][i] = def_prob[i];
136 let mdl = &mut models.coeff_models[plane];
140 mdl.dc_token_probs[i][j][k] = rescale_prob(mdl.dc_value_probs[k], &VP5_DC_WEIGHTS[k][i][j], 254);
148 mdl.ac_type_probs[ctype][group][i][j] = rescale_prob(mdl.ac_val_probs[ctype][group][j], &VP5_AC_WEIGHTS[ctype][group][j][i], 254);
156 fn decode_block(&self, bc: &mut BoolCoder, coeffs: &mut [i16; 64], model: &VP56CoeffModel, _vp6model: &VP6Models, fstate: &mut FrameState) -> DecoderResult<()> {
157 const COEF_GROUPS: [u8; 64] = [
158 0, 0, 1, 1, 2, 1, 1, 2,
159 2, 1, 1, 2, 2, 2, 1, 2,
160 2, 2, 2, 2, 1, 1, 2, 2,
161 3, 3, 4, 3, 4, 4, 4, 3,
162 3, 3, 3, 3, 4, 3, 3, 3,
163 4, 4, 4, 4, 4, 3, 3, 4,
164 4, 4, 3, 4, 4, 4, 4, 4,
165 4, 4, 5, 5, 5, 5, 5, 5
169 let left_ctx = fstate.coeff_cat[fstate.ctx_idx][0] as usize;
170 let top_ctx = fstate.top_ctx as usize;
172 let mut val_probs: &[u8; 11] = &model.dc_value_probs;
173 let mut tok_probs: &[u8] = &model.dc_token_probs[left_ctx][top_ctx];
176 let token = vp_tree!(bc, tok_probs[0],
177 if ctype != 0 { vp_tree!(bc, tok_probs[1], break, 0) } else { 0 },
178 vp_tree!(bc, tok_probs[2],
180 vp_tree!(bc, tok_probs[3],
181 vp_tree!(bc, tok_probs[4], 2,
182 vp_tree!(bc, val_probs[5], 3, 4)),
184 let val = expand_token_bc(bc, val_probs, token, 5);
185 ctype = token.min(2) as usize;
186 if token < TOKEN_LARGE {
187 fstate.coeff_cat[fstate.ctx_idx][idx] = token.min(3);
189 fstate.coeff_cat[fstate.ctx_idx][idx] = 4;
191 coeffs[ZIGZAG[idx]] = val;
193 coeffs[ZIGZAG[idx]] *= fstate.ac_quant;
200 let group = COEF_GROUPS[idx] as usize;
201 val_probs = &model.ac_val_probs[ctype][group];
202 tok_probs = if group > 2 { val_probs
204 let ctx = fstate.coeff_cat[fstate.ctx_idx][idx] as usize;
205 &model.ac_type_probs[ctype][group][ctx]
208 let end = fstate.last_idx[fstate.ctx_idx].min(24);
209 fstate.last_idx[fstate.ctx_idx] = idx;
211 fstate.coeff_cat[fstate.ctx_idx][i] = 5;
213 fstate.top_ctx = fstate.coeff_cat[fstate.ctx_idx][0];
217 fn decode_block_huff(&self, _br: &mut BitReader, _coeffs: &mut [i16; 64], _vp6model: &VP6Models, _model: &VP6HuffModels, _fstate: &mut FrameState) -> DecoderResult<()> {
220 fn mc_block(&self, dst: &mut NASimpleVideoFrame<u8>, mc_buf: NAVideoBufferRef<u8>, src: NAVideoBufferRef<u8>, plane: usize, x: usize, y: usize, mv: MV, loop_str: i16) {
221 let (sx, sy, mx, my) = if (plane != 1) && (plane != 2) {
222 (mv.x >> 1, mv.y >> 1, mv.x & 1, mv.y & 1)
224 (mv.x >> 2, mv.y >> 2, if (mv.x & 3) != 0 { 1 } else { 0 }, if (mv.y & 3) != 0 { 1 } else { 0 })
226 let mode1 = (mx as usize) + (my as usize) * 2;
227 let mode = if (mode1 == 3) && (mv.x ^ mv.y < 0) {
232 vp_copy_block(dst, src, plane, x, y, sx, sy, 0, 1, loop_str,
233 mode, VP3_INTERP_FUNCS, mc_buf);
239 info: NACodecInfoRef,
246 dec: VP56Decoder::new(5, false, true),
247 info: NACodecInfoRef::default(),
253 impl NADecoder for VP5Decoder {
254 fn init(&mut self, supp: &mut NADecoderSupport, info: NACodecInfoRef) -> DecoderResult<()> {
255 if let NACodecTypeInfo::Video(vinfo) = info.get_properties() {
256 let myvinfo = NAVideoInfo::new(vinfo.get_width(), vinfo.get_height(), false, YUV420_FORMAT);
257 let myinfo = NACodecTypeInfo::Video(myvinfo.clone());
258 self.info = NACodecInfo::new_ref(info.get_name(), myinfo, info.get_extradata()).into_ref();
259 self.dec.init(supp, myvinfo)?;
262 Err(DecoderError::InvalidData)
265 fn decode(&mut self, supp: &mut NADecoderSupport, pkt: &NAPacket) -> DecoderResult<NAFrameRef> {
266 let src = pkt.get_buffer();
268 let (bufinfo, ftype) = self.dec.decode_frame(supp, src.as_slice(), &mut self.br)?;
270 let mut frm = NAFrame::new_from_pkt(pkt, self.info.clone(), bufinfo);
271 frm.set_keyframe(ftype == FrameType::I);
272 frm.set_frame_type(ftype);
275 fn flush(&mut self) {
280 pub fn get_decoder() -> Box<NADecoder + Send> {
281 Box::new(VP5Decoder::new())
286 use nihav_core::codecs::RegisteredDecoders;
287 use nihav_core::demuxers::RegisteredDemuxers;
288 use nihav_core::test::dec_video::*;
289 use crate::duck_register_all_codecs;
290 use nihav_commonfmt::generic_register_all_demuxers;
294 let mut dmx_reg = RegisteredDemuxers::new();
295 generic_register_all_demuxers(&mut dmx_reg);
296 let mut dec_reg = RegisteredDecoders::new();
297 duck_register_all_codecs(&mut dec_reg);
299 let file = "assets/Duck/Cell-140.vp5";
300 //let file = "assets/Duck/Chocolat-500.vp5";
301 test_decoding("avi", "vp5", file, Some(96), &dmx_reg, &dec_reg,
302 ExpectedTestResult::MD5([0x9ad78b0f, 0xed988ead, 0x88ed2ea9, 0xcdb75cdf]));
306 const VP5_AC_PROBS: [[[[u8; 11]; 6]; 2]; 3] = [
309 [ 227, 246, 230, 247, 244, 254, 254, 254, 254, 254, 254 ],
310 [ 202, 254, 209, 231, 231, 249, 249, 253, 254, 254, 254 ],
311 [ 206, 254, 225, 242, 241, 251, 253, 254, 254, 254, 254 ],
312 [ 235, 254, 241, 253, 252, 254, 254, 254, 254, 254, 254 ],
313 [ 234, 254, 248, 254, 254, 254, 254, 254, 254, 254, 254 ],
314 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ]
316 [ 240, 254, 248, 254, 254, 254, 254, 254, 254, 254, 254 ],
317 [ 238, 254, 240, 253, 254, 254, 254, 254, 254, 254, 254 ],
318 [ 244, 254, 251, 254, 254, 254, 254, 254, 254, 254, 254 ],
319 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ],
320 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ],
321 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ]
325 [ 206, 203, 227, 239, 247, 254, 253, 254, 254, 254, 254 ],
326 [ 207, 199, 220, 236, 243, 252, 252, 254, 254, 254, 254 ],
327 [ 212, 219, 230, 243, 244, 253, 252, 254, 254, 254, 254 ],
328 [ 236, 237, 247, 252, 253, 254, 254, 254, 254, 254, 254 ],
329 [ 240, 240, 248, 254, 254, 254, 254, 254, 254, 254, 254 ],
330 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ]
332 [ 230, 233, 249, 254, 254, 254, 254, 254, 254, 254, 254 ],
333 [ 238, 238, 250, 254, 254, 254, 254, 254, 254, 254, 254 ],
334 [ 248, 251, 254, 254, 254, 254, 254, 254, 254, 254, 254 ],
335 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ],
336 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ],
337 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ]
341 [ 225, 239, 227, 231, 244, 253, 243, 254, 254, 253, 254 ],
342 [ 232, 234, 224, 228, 242, 249, 242, 252, 251, 251, 254 ],
343 [ 235, 249, 238, 240, 251, 254, 249, 254, 253, 253, 254 ],
344 [ 249, 253, 251, 250, 254, 254, 254, 254, 254, 254, 254 ],
345 [ 251, 250, 249, 254, 254, 254, 254, 254, 254, 254, 254 ],
346 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ]
348 [ 243, 244, 250, 250, 254, 254, 254, 254, 254, 254, 254 ],
349 [ 249, 248, 250, 253, 254, 254, 254, 254, 254, 254, 254 ],
350 [ 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ],
351 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ],
352 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ],
353 [ 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254 ]
358 const VP5_DC_WEIGHTS: [[[[i16; 2]; 6]; 6]; 5] = [
360 [ [154, 61], [141, 54], [ 90, 45], [ 54, 34], [ 54, 13], [128, 109] ],
361 [ [136, 54], [148, 45], [ 92, 41], [ 54, 33], [ 51, 15], [ 87, 113] ],
362 [ [ 87, 44], [ 97, 40], [ 67, 36], [ 46, 29], [ 41, 15], [ 64, 80] ],
363 [ [ 59, 33], [ 61, 31], [ 51, 28], [ 44, 22], [ 33, 12], [ 49, 63] ],
364 [ [ 69, 12], [ 59, 16], [ 46, 14], [ 31, 13], [ 26, 6], [ 92, 26] ],
365 [ [128, 108], [ 77, 119], [ 54, 84], [ 26, 71], [ 87, 19], [ 95, 155] ]
367 [ [154, 4], [182, 0], [159, -8], [128, -5], [143, -5], [187, 55] ],
368 [ [182, 0], [228, -3], [187, -7], [174, -9], [189, -11], [169, 79] ],
369 [ [161, -9], [192, -8], [187, -9], [169, -10], [136, -9], [184, 40] ],
370 [ [164, -11], [179, -10], [174, -10], [161, -10], [115, -7], [197, 20] ],
371 [ [195, -11], [195, -11], [146, -10], [110, -6], [ 95, -4], [195, 39] ],
372 [ [182, 55], [172, 77], [177, 37], [169, 29], [172, 52], [ 92, 162] ]
374 [ [174, 80], [164, 80], [ 95, 80], [ 46, 66], [ 56, 24], [ 36, 193] ],
375 [ [164, 80], [166, 77], [105, 76], [ 49, 68], [ 46, 31], [ 49, 186] ],
376 [ [ 97, 78], [110, 74], [ 72, 72], [ 44, 60], [ 33, 30], [ 69, 131] ],
377 [ [ 61, 61], [ 69, 63], [ 51, 57], [ 31, 48], [ 26, 27], [ 64, 89] ],
378 [ [ 67, 23], [ 51, 32], [ 36, 33], [ 26, 28], [ 20, 12], [ 44, 68] ],
379 [ [ 26, 197], [ 41, 189], [ 61, 129], [ 28, 103], [ 49, 52], [-12, 245] ]
381 [ [102, 141], [ 79, 166], [ 72, 162], [ 97, 125], [179, 4], [307, 0] ],
382 [ [ 72, 168], [ 69, 175], [ 84, 160], [105, 127], [148, 34], [310, 0] ],
383 [ [ 84, 151], [ 82, 161], [ 87, 153], [ 87, 135], [115, 51], [317, 0] ],
384 [ [ 97, 125], [102, 131], [105, 125], [ 87, 122], [ 84, 64], [ 54, 184] ],
385 [ [166, 18], [146, 43], [125, 51], [ 90, 64], [ 95, 7], [ 38, 154] ],
386 [ [294, 0], [ 13, 225], [ 10, 225], [ 67, 168], [ 0, 167], [161, 94] ]
388 [ [172, 76], [172, 75], [136, 80], [ 64, 98], [ 74, 67], [315, 0] ],
389 [ [169, 76], [207, 56], [164, 66], [ 97, 80], [ 67, 72], [328, 0] ],
390 [ [136, 80], [187, 53], [154, 62], [ 72, 85], [ -2, 105], [305, 0] ],
391 [ [ 74, 91], [128, 64], [113, 64], [ 61, 77], [ 41, 75], [259, 0] ],
392 [ [ 46, 84], [ 51, 81], [ 28, 89], [ 31, 78], [ 23, 77], [202, 0] ],
393 [ [323, 0], [323, 0], [300, 0], [236, 0], [195, 0], [328, 0] ]
397 const VP5_AC_WEIGHTS: [[[[[i16; 2]; 6]; 5]; 3]; 3] = [
400 [ [276, 0], [238, 0], [195, 0], [156, 0], [113, 0], [274, 0] ],
401 [ [ 0, 1], [ 0, 1], [ 0, 1], [ 0, 1], [ 0, 1], [ 0, 1] ],
402 [ [192, 59], [182, 50], [141, 48], [110, 40], [ 92, 19], [125,128] ],
403 [ [169, 87], [169, 83], [184, 62], [220, 16], [184, 0], [264, 0] ],
404 [ [212, 40], [212, 36], [169, 49], [174, 27], [ 8,120], [182, 71] ]
406 [ [259, 10], [197, 19], [143, 22], [123, 16], [110, 8], [133, 88] ],
407 [ [ 0, 1], [256, 0], [ 0, 1], [ 0, 1], [ 0, 1], [ 0, 1] ],
408 [ [207, 46], [187, 50], [ 97, 83], [ 23,100], [ 41, 56], [ 56,188] ],
409 [ [166, 90], [146,108], [161, 88], [136, 95], [174, 0], [266, 0] ],
410 [ [264, 7], [243, 18], [184, 43], [-14,154], [ 20,112], [ 20,199] ]
412 [ [230, 26], [197, 22], [159, 20], [146, 12], [136, 4], [ 54,162] ],
413 [ [ 0, 1], [ 0, 1], [ 0, 1], [ 0, 1], [ 0, 1], [ 0, 1] ],
414 [ [192, 59], [156, 72], [ 84,101], [ 49,101], [ 79, 47], [ 79,167] ],
415 [ [138,115], [136,116], [166, 80], [238, 0], [195, 0], [261, 0] ],
416 [ [225, 33], [205, 42], [159, 61], [ 79, 96], [ 92, 66], [ 28,195] ]
420 [ [200, 37], [197, 18], [159, 13], [143, 7], [102, 5], [123,126] ],
421 [ [197, 3], [220, -9], [210,-12], [187, -6], [151, -2], [174, 80] ],
422 [ [200, 53], [187, 47], [159, 40], [118, 38], [100, 18], [141,111] ],
423 [ [179, 78], [166, 86], [197, 50], [207, 27], [187, 0], [115,139] ],
424 [ [218, 34], [220, 29], [174, 46], [128, 61], [ 54, 89], [187, 65] ]
426 [ [238, 14], [197, 18], [125, 26], [ 90, 25], [ 82, 13], [161, 86] ],
427 [ [189, 1], [205, -2], [156, -4], [143, -4], [146, -4], [172, 72] ],
428 [ [230, 31], [192, 45], [102, 76], [ 38, 85], [ 56, 41], [ 64,173] ],
429 [ [166, 91], [141,111], [128,116], [118,109], [177, 0], [ 23,222] ],
430 [ [253, 14], [236, 21], [174, 49], [ 33,118], [ 44, 93], [ 23,187] ]
432 [ [218, 28], [179, 28], [118, 35], [ 95, 30], [ 72, 24], [128,108] ],
433 [ [187, 1], [174, -1], [125, -1], [110, -1], [108, -1], [202, 52] ],
434 [ [197, 53], [146, 75], [ 46,118], [ 33,103], [ 64, 50], [118,126] ],
435 [ [138,114], [128,122], [161, 86], [243, -6], [195, 0], [ 38,210] ],
436 [ [215, 39], [179, 58], [ 97,101], [ 95, 85], [ 87, 70], [ 69,152] ]
440 [ [236, 24], [205, 18], [172, 12], [154, 6], [125, 1], [169, 75] ],
441 [ [187, 4], [230, -2], [228, -4], [236, -4], [241, -2], [192, 66] ],
442 [ [200, 46], [187, 42], [159, 34], [136, 25], [105, 10], [179, 62] ],
443 [ [207, 55], [192, 63], [192, 54], [195, 36], [177, 1], [143, 98] ],
444 [ [225, 27], [207, 34], [200, 30], [131, 57], [ 97, 60], [197, 45] ]
446 [ [271, 8], [218, 13], [133, 19], [ 90, 19], [ 72, 7], [182, 51] ],
447 [ [179, 1], [225, -1], [154, -2], [110, -1], [ 92, 0], [195, 41] ],
448 [ [241, 26], [189, 40], [ 82, 64], [ 33, 60], [ 67, 17], [120, 94] ],
449 [ [192, 68], [151, 94], [146, 90], [143, 72], [161, 0], [113,128] ],
450 [ [256, 12], [218, 29], [166, 48], [ 44, 99], [ 31, 87], [148, 78] ]
452 [ [238, 20], [184, 22], [113, 27], [ 90, 22], [ 74, 9], [192, 37] ],
453 [ [184, 0], [215, -1], [141, -1], [ 97, 0], [ 49, 0], [264, 13] ],
454 [ [182, 51], [138, 61], [ 95, 63], [ 54, 59], [ 64, 25], [200, 45] ],
455 [ [179, 75], [156, 87], [174, 65], [177, 44], [174, 0], [164, 85] ],
456 [ [195, 45], [148, 65], [105, 79], [ 95, 72], [ 87, 60], [169, 63] ]