TheM14
91ddfc6823
Native builds / linux-x64 (push) Failing after 13s
Native builds / macos-arm64 (push) Has been cancelled
Native builds / macos-x64 (push) Has been cancelled
Native builds / windows-x64 (push) Has been cancelled
Native builds / Publish GitHub Release (push) Has been cancelled
999 lines
49 KiB
Python
999 lines
49 KiB
Python
"""JustOneCacophony 的 E-AC-3 JOC 命令行入口。"""
|
||
import argparse
|
||
import hashlib
|
||
import json
|
||
import math
|
||
import os
|
||
from pathlib import Path
|
||
import platform
|
||
import re
|
||
import shutil
|
||
import subprocess
|
||
import sys
|
||
import tempfile
|
||
import time
|
||
|
||
PROJECT_DIR = Path(__file__).resolve().parent
|
||
SOURCE_DIR = PROJECT_DIR / "src"
|
||
if str(SOURCE_DIR) not in sys.path:
|
||
sys.path.insert(0, str(SOURCE_DIR))
|
||
|
||
import numpy as np
|
||
|
||
import adm_assemble
|
||
import adm_atmos
|
||
from adm_validate import validate
|
||
from metadata import DirectPayloadIndex, PayloadIndex, write_summary
|
||
import oamd_tracks
|
||
from renderer import JocRenderer
|
||
from native_renderer import NativeBackendUnavailable, NativeJocRenderer
|
||
from binaural_renderer import (
|
||
DEFAULT_SOFA_HRTF,
|
||
SofaBinauralRenderer,
|
||
resolve_compiled_hrtf_cache,
|
||
resolve_sofa_hrtf,
|
||
)
|
||
from rosella_binaural_renderer import (
|
||
DEFAULT_PERSONALIZED_HEADPHONE,
|
||
ROSSELLA_BLOCK_SAMPLES,
|
||
ROSSELLA_LATENCY_SAMPLES,
|
||
RosellaBinauralRenderer,
|
||
resolve_personalized_headphone,
|
||
)
|
||
from sofa_hrtf_field import DEFAULT_HRTF_CACHE_DIR
|
||
from speaker_backend import create_speaker_renderer
|
||
from speaker_layouts import (SPEAKER_LAYOUT_CHOICES, get_speaker_layout,
|
||
speaker_layout_display_name)
|
||
from speaker_wav import BinauralPcmSpool, SpeakerPcmSpool, write_pcm_wav
|
||
from variant_error import UnsupportedVariantError, write_variant_report
|
||
|
||
|
||
RATE = 48000
|
||
FRAME_SAMPLES = 1536
|
||
DEFAULT_OUTPUT_DIR = PROJECT_DIR / "output"
|
||
EAC3_DRC_SCALE_MAX = 6.0
|
||
EAC3_TARGET_LEVEL_RANGE = (-31, 0)
|
||
EAC3_DECODER_OPTION_RE = re.compile(r"(?m)^\s*-([A-Za-z0-9_]+)\s+<")
|
||
|
||
|
||
def resolve_output(source, requested=None, speaker_layout=None, *, binaural=False):
|
||
"""解析成品路径；未指定时使用项目内的 ``output`` 目录。"""
|
||
source = Path(source)
|
||
if requested is not None:
|
||
target = Path(requested)
|
||
elif speaker_layout is not None:
|
||
target = DEFAULT_OUTPUT_DIR / f"{source.stem}.{speaker_layout}.wav"
|
||
elif binaural:
|
||
target = DEFAULT_OUTPUT_DIR / f"{source.stem}.binaural.wav"
|
||
else:
|
||
target = DEFAULT_OUTPUT_DIR / (source.stem + ".adm.wav")
|
||
return target.expanduser().resolve()
|
||
|
||
|
||
def _find_default_compiled_hrtf_cache():
|
||
"""在默认 cache 目录寻找唯一的 .jochrtf；无文件返回 None，多个则报错。"""
|
||
directory = DEFAULT_HRTF_CACHE_DIR
|
||
if not directory.is_dir():
|
||
return None
|
||
candidates = sorted(directory.glob("*.jochrtf"))
|
||
if not candidates:
|
||
return None
|
||
if len(candidates) > 1:
|
||
listing = ", ".join(path.name for path in candidates[:8])
|
||
raise ValueError(
|
||
f"{directory} 下有多个 .jochrtf 缓存（{listing}…），无法自动选择；"
|
||
"请用 --compiled-hrtf-cache PATH 或 --sofa-hrtf PATH 显式指定")
|
||
return candidates[0]
|
||
|
||
|
||
def resolve_binaural_hrtf_input(args, *, required):
|
||
"""解析 binaural 的 HRTF 输入。
|
||
|
||
无显式输入时按顺序回退：默认 HRTF/binaural.sofa → 默认 cache 目录下唯一的
|
||
.jochrtf → 默认 HRTF/binaural.personalized_headphone → 报错。
|
||
只校验路径，不做编译。
|
||
"""
|
||
sofa = args.sofa_hrtf
|
||
compiled = args.compiled_hrtf_cache
|
||
private = args.personalized_headphone
|
||
cache_policy = args.hrtf_cache_policy
|
||
cache_dir = args.hrtf_cache_dir
|
||
radius = args.hrtf_radius_m
|
||
|
||
if compiled is not None and cache_policy is not None:
|
||
raise ValueError("显式 .jochrtf 输入不能再指定 --hrtf-cache-policy")
|
||
if compiled is not None and radius != 1.0:
|
||
raise ValueError("显式 .jochrtf 输入不能再选择 SOFA radius shell")
|
||
if private is not None and (cache_policy is not None or cache_dir is not None
|
||
or radius != 1.0):
|
||
raise ValueError(
|
||
"Rosella 模型输入不能使用 "
|
||
"--hrtf-cache-policy/--hrtf-cache-dir/--hrtf-radius-m")
|
||
|
||
if required and sofa is None and compiled is None and private is None:
|
||
if DEFAULT_SOFA_HRTF.is_file():
|
||
sofa = DEFAULT_SOFA_HRTF
|
||
else:
|
||
compiled = _find_default_compiled_hrtf_cache()
|
||
if compiled is None and DEFAULT_PERSONALIZED_HEADPHONE.is_file():
|
||
private = DEFAULT_PERSONALIZED_HEADPHONE
|
||
|
||
if sofa is None and compiled is None and private is None:
|
||
if cache_policy is not None or cache_dir is not None or radius != 1.0:
|
||
raise ValueError("HRTF cache/radius 选项需要 --sofa-hrtf")
|
||
if required:
|
||
raise ValueError(
|
||
"--binaural 未找到 HRTF 输入：默认 "
|
||
f"{DEFAULT_SOFA_HRTF}、{DEFAULT_PERSONALIZED_HEADPHONE} 与 "
|
||
f"{DEFAULT_HRTF_CACHE_DIR} 下的 .jochrtf 缓存都不存在；请用 "
|
||
"--sofa-hrtf PATH、--compiled-hrtf-cache PATH 或 "
|
||
"--personalized-headphone PATH 指定")
|
||
return None
|
||
|
||
if sofa is None and (cache_policy is not None or cache_dir is not None
|
||
or radius != 1.0):
|
||
raise ValueError("HRTF cache/radius 选项需要 --sofa-hrtf")
|
||
effective_policy = "memory" if cache_policy is None else cache_policy
|
||
if cache_dir is not None and (sofa is None or effective_policy != "disk"):
|
||
raise ValueError("--hrtf-cache-dir 仅与 SOFA 的 disk cache policy 一起使用")
|
||
if sofa is not None:
|
||
return {
|
||
"kind": "sofa",
|
||
"path": resolve_sofa_hrtf(sofa),
|
||
"cache_policy": effective_policy,
|
||
"cache_dir": (DEFAULT_HRTF_CACHE_DIR if cache_dir is None else
|
||
cache_dir.expanduser().resolve()),
|
||
}
|
||
if compiled is not None:
|
||
return {
|
||
"kind": "compiled_cache",
|
||
"path": resolve_compiled_hrtf_cache(compiled),
|
||
"cache_policy": None,
|
||
"cache_dir": None,
|
||
}
|
||
if private is not None:
|
||
return {
|
||
"kind": "rosella",
|
||
"path": resolve_personalized_headphone(private),
|
||
"cache_policy": None,
|
||
"cache_dir": None,
|
||
}
|
||
return None
|
||
|
||
|
||
def executable(value, name):
|
||
path = shutil.which(value) if value else None
|
||
if path is None and value and Path(value).is_file():
|
||
path = str(Path(value).resolve())
|
||
if path is None:
|
||
raise FileNotFoundError(f"找不到 {name}: {value!r}")
|
||
return path
|
||
|
||
|
||
def run(command, label):
|
||
print(f"[{label}]", flush=True)
|
||
result = subprocess.run(command, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE,
|
||
text=True, encoding="utf-8", errors="replace")
|
||
if result.returncode:
|
||
tail = result.stderr[-4000:]
|
||
raise RuntimeError(f"{label} 失败（exit {result.returncode}）\n{tail}")
|
||
|
||
|
||
def timed_call(timings, name, function, *args, **kwargs):
|
||
started = time.perf_counter()
|
||
try:
|
||
return function(*args, **kwargs)
|
||
finally:
|
||
timings[name] = time.perf_counter() - started
|
||
|
||
|
||
def probe_eac3_decoder_options(ffmpeg):
|
||
"""读取 ``ffmpeg -h decoder=eac3`` 暴露的 AVOption 名。"""
|
||
result = subprocess.run(
|
||
[ffmpeg, "-hide_banner", "-h", "decoder=eac3"],
|
||
stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
|
||
text=True, encoding="utf-8", errors="replace")
|
||
options = frozenset(EAC3_DECODER_OPTION_RE.findall(result.stdout or ""))
|
||
# decoder 名不存在时 ffmpeg 依然返回 0，因此以“解析不到任何选项”为失败。
|
||
if not options:
|
||
raise RuntimeError(
|
||
"无法读取 FFmpeg 的 eac3 解码器选项（ffmpeg -h decoder=eac3）；"
|
||
"需要带 E-AC-3 解码器的构建")
|
||
return options
|
||
|
||
|
||
def ffmpeg_version(ffmpeg):
|
||
"""FFmpeg 版本字符串；探测失败返回空串，不影响渲染。"""
|
||
try:
|
||
result = subprocess.run(
|
||
[ffmpeg, "-hide_banner", "-version"],
|
||
stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
|
||
text=True, encoding="utf-8", errors="replace")
|
||
except OSError:
|
||
return ""
|
||
lines = (result.stdout or "").splitlines()
|
||
line = lines[0].strip() if lines else ""
|
||
prefix = "ffmpeg version "
|
||
return line[len(prefix):].strip() if line.startswith(prefix) else line
|
||
|
||
|
||
def eac3_decode_options(drc_scale, target_level, available):
|
||
"""构造 ``-i`` 之前的 E-AC-3 解码选项，返回 ``(argv, report 片段)``。"""
|
||
if "drc_scale" not in available:
|
||
raise RuntimeError(
|
||
"FFmpeg 的 eac3 解码器缺少 -drc_scale，无法关闭码流 DRC")
|
||
# -drc_scale 始终显式下发：0（全动态范围）不是 ffmpeg 的默认值。
|
||
argv = ["-drc_scale", format(float(drc_scale), ".10g")]
|
||
if target_level:
|
||
if "target_level" not in available:
|
||
raise RuntimeError(
|
||
"FFmpeg 的 eac3 解码器不支持 -target_level；请升级 FFmpeg "
|
||
"或去掉 --eac3-target-level")
|
||
argv += ["-target_level", str(int(target_level))]
|
||
applied = {"drc_scale": float(drc_scale), "target_level": int(target_level)}
|
||
return argv, applied
|
||
|
||
|
||
def extract_eac3(ffmpeg, source, target):
|
||
if source.suffix.lower() in (".eac3", ".ec3"):
|
||
return source
|
||
run([ffmpeg, "-hide_banner", "-loglevel", "error", "-y", "-i", str(source),
|
||
"-map", "0:a:0", "-vn", "-c:a", "copy", "-f", "eac3", str(target)],
|
||
"FFmpeg 提取 E-AC-3")
|
||
return target
|
||
|
||
|
||
def decode_core(ffmpeg, eac3, target, duration_sec=None, *, options=()):
|
||
# 5.1(side) 的 f32le 顺序为 FL FR FC LFE SL SR；JOC 使用其中 0,1,2,4,5。
|
||
command = [ffmpeg, "-hide_banner", "-loglevel", "error", "-y", *options,
|
||
"-i", str(eac3), "-map", "0:a:0", "-vn"]
|
||
if duration_sec is not None:
|
||
command.extend(["-t", f"{duration_sec:.9f}"])
|
||
command.extend(["-ac", "6", "-ar", str(RATE),
|
||
"-c:a", "pcm_f32le", "-f", "f32le", str(target)])
|
||
run(command, "FFmpeg 解码核心 5.1 PCM")
|
||
return target
|
||
|
||
|
||
def sha256(path):
|
||
digest = hashlib.sha256()
|
||
with Path(path).open("rb") as fp:
|
||
for block in iter(lambda: fp.read(16 << 20), b""):
|
||
digest.update(block)
|
||
return digest.hexdigest()
|
||
|
||
|
||
def choose_pcm_output_format(requested_format, clip_action, peak, clipped_values,
|
||
*, input_func=input, interactive=None):
|
||
"""Resolve int24 clipping interactively or through an explicit policy."""
|
||
if requested_format != "int24" or clipped_values == 0:
|
||
return requested_format
|
||
print(
|
||
f"[clip] int24 将发生削波：peak={peak:.9g}，超出 [-1,1] 的样本值={clipped_values}",
|
||
file=sys.stderr, flush=True)
|
||
action = clip_action
|
||
if action == "ask":
|
||
if interactive is None:
|
||
interactive = bool(getattr(sys.stdin, "isatty", lambda: False)())
|
||
if not interactive:
|
||
raise RuntimeError(
|
||
"检测到 int24 削波，但当前不是交互终端；请使用 "
|
||
"--clip-action continue、--clip-action float32 或 --clip-action abort")
|
||
while True:
|
||
answer = input_func(
|
||
"继续写 int24 并截断 [i] / 改为 float32 [f，默认] / 取消 [a]："
|
||
).strip().lower()
|
||
if answer in ("", "f", "float", "float32"):
|
||
action = "float32"
|
||
break
|
||
if answer in ("i", "int", "int24", "c", "continue"):
|
||
action = "continue"
|
||
break
|
||
if answer in ("a", "abort", "q", "quit", "n", "no"):
|
||
action = "abort"
|
||
break
|
||
print("请输入 i、f 或 a。", file=sys.stderr, flush=True)
|
||
if action == "continue":
|
||
print("[clip] 将继续写 int24，超范围值会截断到 [-1,1]。", flush=True)
|
||
return "int24"
|
||
if action == "float32":
|
||
print("[clip] 已切换为 float32 WAV，不执行截断。", flush=True)
|
||
return "float32"
|
||
if action == "abort":
|
||
raise RuntimeError("用户因 int24 削波取消输出")
|
||
raise ValueError(f"未知 clip action: {action}")
|
||
|
||
|
||
# Backward-compatible public name used by existing tests and callers.
|
||
choose_speaker_output_format = choose_pcm_output_format
|
||
|
||
|
||
def resolve_metadata(args, eac3, temp_dir):
|
||
if args.metadata_dir:
|
||
directory = Path(args.metadata_dir).resolve()
|
||
return PayloadIndex(directory), "sidecar", directory
|
||
if args.metadata_backend == "sidecar":
|
||
raise ValueError("metadata-backend=sidecar 时必须提供 --metadata-dir")
|
||
cache_dir = (args.metadata_cache.expanduser().resolve()
|
||
if args.metadata_cache else None)
|
||
max_frames = (math.ceil(args.duration * RATE / FRAME_SAMPLES)
|
||
if args.duration is not None else None)
|
||
index = DirectPayloadIndex.from_eac3(
|
||
eac3, max_frames=max_frames, cache_dir=cache_dir)
|
||
return index, "python-emdf-memory", cache_dir
|
||
|
||
|
||
def variant_call(output, source, function, *args, **kwargs):
|
||
"""执行一个阶段；遇到未知变体时在目标文件旁写结构化报告。"""
|
||
try:
|
||
return function(*args, **kwargs)
|
||
except UnsupportedVariantError as exc:
|
||
report_path = Path(str(output) + ".variant-error.json")
|
||
write_variant_report(report_path, exc, input_path=source, output_path=output)
|
||
print(f"[VARIANT] {exc}", file=sys.stderr, flush=True)
|
||
print(f"[VARIANT] 维修报告: {report_path}", file=sys.stderr, flush=True)
|
||
raise
|
||
|
||
|
||
def create_renderer(backend, gain, native_library=None, native_threads=None):
|
||
"""选择整帧 DSP 后端；auto 优先使用 lib 中当前平台的原生构建。"""
|
||
if backend in ("auto", "native"):
|
||
try:
|
||
decoder = NativeJocRenderer(
|
||
output_scale=gain, library_path=native_library, threads=native_threads)
|
||
info = {
|
||
"name": "native",
|
||
"library": str(decoder.library_path),
|
||
"build": decoder.build_info,
|
||
"threads": decoder.threads,
|
||
}
|
||
print(f"[backend] native: {info['build']} threads={info['threads']} "
|
||
f"({info['library']})", flush=True)
|
||
return decoder, info
|
||
except (NativeBackendUnavailable, OSError) as exc:
|
||
print(f"[backend] native unavailable, falling back to Python: {exc}", flush=True)
|
||
decoder = JocRenderer(output_scale=gain)
|
||
info = {"name": "python", "library": None, "build": None, "threads": None}
|
||
print("[backend] python/numpy", flush=True)
|
||
return decoder, info
|
||
|
||
|
||
def render(index, bed_path, frame_count, raw_path, gain, progress_every,
|
||
backend="auto", native_library=None, native_threads=None, frame_sink=None,
|
||
speaker_renderer=None, speaker_sink=None, speaker_metadata_offset=1473,
|
||
binaural_renderer=None, binaural_sink=None, binaural_metadata_offset=1473,
|
||
raw_scale=1.0):
|
||
values = np.memmap(bed_path, dtype=np.float32, mode="r")
|
||
frame_width = FRAME_SAMPLES * 6
|
||
if values.size % frame_width:
|
||
raise ValueError(f"FFmpeg PCM 长度不是 1536×6 的整数倍: {values.size}")
|
||
bed = values.reshape(-1, FRAME_SAMPLES, 6)
|
||
if len(bed) < frame_count:
|
||
raise ValueError(f"PCM 只有 {len(bed)} 帧，元数据需要 {frame_count} 帧")
|
||
output = (np.memmap(raw_path, dtype=np.float32, mode="w+",
|
||
shape=(frame_count, FRAME_SAMPLES, 16))
|
||
if raw_path is not None else None)
|
||
decoder, backend_info = create_renderer(backend, gain, native_library, native_threads)
|
||
started = time.perf_counter()
|
||
dsp_seconds = 0.0
|
||
adm_stream_seconds = 0.0
|
||
raw_write_seconds = 0.0
|
||
speaker_render_seconds = 0.0
|
||
speaker_write_seconds = 0.0
|
||
binaural_render_seconds = 0.0
|
||
binaural_write_seconds = 0.0
|
||
elapsed = 0.0
|
||
try:
|
||
for frame_number, row in enumerate(index.rows[:frame_count]):
|
||
bed6 = np.asarray(bed[frame_number], dtype=np.float32)
|
||
subs = index.subpayloads(row)
|
||
stage = time.perf_counter()
|
||
pcm16, _ = decoder.render_subpayloads(
|
||
subs, bed6[:, [0, 1, 2, 4, 5]].T, bed6[:, 3])
|
||
dsp_seconds += time.perf_counter() - stage
|
||
if output is not None:
|
||
stage = time.perf_counter()
|
||
output[frame_number] = np.multiply(
|
||
pcm16.T, np.float32(raw_scale), dtype=np.float32)
|
||
raw_write_seconds += time.perf_counter() - stage
|
||
if frame_sink is not None:
|
||
stage = time.perf_counter()
|
||
frame_sink.write_frame(pcm16)
|
||
adm_stream_seconds += time.perf_counter() - stage
|
||
if speaker_renderer is not None:
|
||
stage = time.perf_counter()
|
||
speaker_pcm = speaker_renderer.render_frame(
|
||
pcm16.T, subs.get(11), speaker_metadata_offset)
|
||
speaker_render_seconds += time.perf_counter() - stage
|
||
stage = time.perf_counter()
|
||
speaker_sink.write_frame(speaker_pcm)
|
||
speaker_write_seconds += time.perf_counter() - stage
|
||
if binaural_renderer is not None:
|
||
payload = subs.get(11)
|
||
outer_offset = (
|
||
index.subpayload_sample_offset(row, 11)
|
||
if payload is not None and hasattr(index, "subpayload_sample_offset")
|
||
else 0
|
||
)
|
||
stage = time.perf_counter()
|
||
binaural_pcm = binaural_renderer.render_frame(
|
||
pcm16.T, payload, binaural_metadata_offset,
|
||
outer_sample_offset=outer_offset)
|
||
binaural_render_seconds += time.perf_counter() - stage
|
||
if len(binaural_pcm):
|
||
stage = time.perf_counter()
|
||
binaural_sink.write_frame(binaural_pcm)
|
||
binaural_write_seconds += time.perf_counter() - stage
|
||
done = frame_number + 1
|
||
if done % progress_every == 0 or done == frame_count:
|
||
elapsed = time.perf_counter() - started
|
||
speed = done / max(elapsed, 1e-9)
|
||
eta = (frame_count - done) / max(speed, 1e-9)
|
||
print(f"[JOC:{backend_info['name']}] {done}/{frame_count} "
|
||
f"{speed:.1f} frame/s ETA {eta:.1f}s", flush=True)
|
||
if binaural_renderer is not None:
|
||
stage = time.perf_counter()
|
||
binaural_tail = binaural_renderer.finish()
|
||
binaural_render_seconds += time.perf_counter() - stage
|
||
if len(binaural_tail):
|
||
stage = time.perf_counter()
|
||
binaural_sink.write_frame(binaural_tail)
|
||
binaural_write_seconds += time.perf_counter() - stage
|
||
if output is not None:
|
||
output.flush()
|
||
elapsed = time.perf_counter() - started
|
||
finally:
|
||
close = getattr(decoder, "close", None)
|
||
if close is not None:
|
||
close()
|
||
close = getattr(speaker_renderer, "close", None)
|
||
if close is not None:
|
||
close()
|
||
close = getattr(binaural_renderer, "close", None)
|
||
if close is not None:
|
||
close()
|
||
breakdown = {
|
||
"pipeline_wall_seconds": elapsed,
|
||
"dsp_and_joc_parse_seconds": dsp_seconds,
|
||
"adm_stream_write_seconds": adm_stream_seconds,
|
||
"raw_float_write_seconds": raw_write_seconds,
|
||
"speaker_render_seconds": speaker_render_seconds,
|
||
"speaker_spool_write_seconds": speaker_write_seconds,
|
||
"binaural_render_seconds": binaural_render_seconds,
|
||
"binaural_spool_write_seconds": binaural_write_seconds,
|
||
}
|
||
return dsp_seconds, backend_info, breakdown
|
||
|
||
|
||
def build_parser():
|
||
parser = argparse.ArgumentParser(
|
||
description=("JustOneCacophony (JOC)：E-AC-3 JOC → 25ch ADM BWF、"
|
||
"扬声器 WAV 或公开 SOFA 双耳 WAV"))
|
||
parser.add_argument("input", type=Path, help="输入 .m4a/.eac3/.ec3")
|
||
parser.add_argument("-o", "--output", type=Path, help="输出文件；默认按模式和布局命名")
|
||
parser.add_argument("--speaker-output", type=Path,
|
||
help="扬声器 WAV 路径；仅与 --speaker-layout 一起使用")
|
||
parser.add_argument("--binaural-output", type=Path,
|
||
help="双耳 WAV 路径；仅与 --binaural 一起使用")
|
||
direct_mode = parser.add_mutually_exclusive_group()
|
||
direct_mode.add_argument("--speaker-layout", choices=SPEAKER_LAYOUT_CHOICES,
|
||
help="直接扬声器渲染布局，例如 2.0、5.1、7.1.2")
|
||
direct_mode.add_argument("--binaural", action="store_true",
|
||
help="直接 SOFA 双耳渲染；不生成临时 ADM BWF")
|
||
parser.add_argument("--speaker-format", choices=("float32", "int24"), default="float32",
|
||
help="扬声器 WAV 格式，默认 float32")
|
||
parser.add_argument("--binaural-format", choices=("float32", "int24"), default="float32",
|
||
help="双耳 WAV 格式，默认 float32")
|
||
parser.add_argument("--clip-action", choices=("ask", "continue", "float32", "abort"),
|
||
default="ask",
|
||
help="int24 削波处理：交互询问、继续截断、改 float32 或中止")
|
||
parser.add_argument("--speaker-metadata-offset", type=int, default=1473,
|
||
help="扬声器渲染 metadata 相对帧偏移，默认 1473 samples")
|
||
parser.add_argument("--binaural-mode", choices=("off", "near", "mid", "far"),
|
||
default="mid",
|
||
help="双耳渲染模式，默认 mid（人为指定的渲染提示，非码流 "
|
||
"原始元数据）；直接双耳渲染与 ADM BWF 的 DBMD 提示共用。"
|
||
"off 仅用于 ADM BWF：关闭 DBMD 双耳提示（编码 0）")
|
||
hrtf_input = parser.add_mutually_exclusive_group()
|
||
hrtf_input.add_argument(
|
||
"--sofa-hrtf", type=Path,
|
||
help="SimpleFreeFieldHRIR SOFA；缺省时依次尝试 HRTF/binaural.sofa、"
|
||
"output/hrtf-cache 下唯一的 .jochrtf、"
|
||
"HRTF/binaural.personalized_headphone，均无则报错")
|
||
hrtf_input.add_argument(
|
||
"--compiled-hrtf-cache", type=Path,
|
||
help="高级入口：显式读取 JOC .jochrtf compiled cache")
|
||
hrtf_input.add_argument(
|
||
"--personalized-headphone", type=Path, nargs="?",
|
||
const=DEFAULT_PERSONALIZED_HEADPHONE,
|
||
help="Rosella .personalized_headphone 模型；不带路径时默认 "
|
||
"HRTF/binaural.personalized_headphone")
|
||
parser.add_argument(
|
||
"--hrtf-cache-policy", choices=("none", "memory", "disk"), default=None,
|
||
help="SOFA 编译缓存；默认 memory，disk 写入可删除的 .jochrtf")
|
||
parser.add_argument(
|
||
"--hrtf-cache-dir", type=Path,
|
||
help="disk cache 目录；默认 output/hrtf-cache")
|
||
parser.add_argument(
|
||
"--hrtf-radius-m", type=float, default=1.0,
|
||
help="选择最近的 SOFA measurement-radius shell，默认 1.0 m")
|
||
parser.add_argument("--binaural-tail-seconds", type=float, default=5.0,
|
||
help="双耳 room/filterbank flush 上限，默认 5 秒")
|
||
parser.add_argument("--binaural-tail-threshold", type=float, default=1.0e-8,
|
||
help="双耳尾声裁切阈值，默认 1e-8；主体至少保留原时长")
|
||
parser.add_argument("--binaural-chunk-frames", type=int, default=64,
|
||
help="双耳内部批处理 E-AC-3 帧数，默认 64")
|
||
parser.add_argument("--gain-db", type=float, default=0.0,
|
||
help="成品增益 dB，默认 0；双耳路径以 float64 应用")
|
||
parser.add_argument("--duration", type=float, help="只处理开头指定秒数")
|
||
parser.add_argument("--object-delay-samples", type=int, default=1473,
|
||
help="对象 PCM/OAMD 时间补偿；ADM 与双耳默认 1473 samples")
|
||
parser.add_argument("--trajectory-mode", choices=("compact", "dense64"), default="compact",
|
||
help="ADM 对象轨迹表示；直接双耳路径不序列化 AXML")
|
||
parser.add_argument("--ffmpeg", default=os.environ.get("FFMPEG", "ffmpeg"))
|
||
parser.add_argument("--eac3-drc-scale", type=float, default=0.0,
|
||
help="E-AC-3 解码器 -drc_scale：0=关闭码流 dynrng（全动态范围），"
|
||
"1=码流作者意图，>1 非对称；默认 0")
|
||
parser.add_argument("--eac3-target-level", type=int, default=0,
|
||
help="E-AC-3 解码器 -target_level：按码流 dialnorm 归一化电平，"
|
||
"增益约 target_level - dialnorm dB；0=不施加，默认 0")
|
||
parser.add_argument("--backend", choices=("auto", "native", "python"), default="auto",
|
||
help="JOC/扬声器 DSP 后端；SOFA 双耳 DSP 当前使用 Python")
|
||
parser.add_argument("--native-library", type=Path,
|
||
help="显式指定原生库；默认从单层 lib 目录选择当前平台文件")
|
||
parser.add_argument("--native-threads", type=int,
|
||
help="原生 DSP 总线程数；默认在 4 核以上使用 2，可用环境变量 EAC3JOC_NATIVE_THREADS 覆盖")
|
||
metadata_source = parser.add_mutually_exclusive_group()
|
||
metadata_source.add_argument("--metadata-dir", type=Path,
|
||
help="含 frames.csv 和 emdf/ 或 payloads/ 的元数据 sidecar")
|
||
metadata_source.add_argument("--metadata-cache", type=Path,
|
||
help="把直接 EMDF 扫描或兼容桥结果持久保存到此目录")
|
||
parser.add_argument("--metadata-backend", choices=("auto", "emdf", "sidecar"),
|
||
default="auto", help="直接扫描连续 EMDF，或读取现有 sidecar")
|
||
parser.add_argument("--print-metadata", choices=("none", "summary", "frames"), default="none",
|
||
help="诊断元数据输出；默认 none，避免转换前重复完整解析")
|
||
parser.add_argument("--metadata-json", type=Path, help="元数据汇总 JSON 路径")
|
||
parser.add_argument("--metadata-only", action="store_true", help="解析/打印元数据后退出")
|
||
parser.add_argument("--keep-raw", action="store_true", help="额外保留 16ch f32le 对象中间文件")
|
||
parser.add_argument("--skip-sha256", action="store_true",
|
||
help="跳过最终文件 SHA-256 全量复扫以缩短大文件处理时间")
|
||
parser.add_argument("--progress-every", type=int, default=500)
|
||
return parser
|
||
|
||
|
||
def main(argv=None):
|
||
# Windows 控制台的活动代码页未必能表示日文文件名；保留信息并避免
|
||
# UnicodeEncodeError 中断长任务。支持 UTF-8 的终端仍会原样显示。
|
||
for stream in (sys.stdout, sys.stderr):
|
||
if hasattr(stream, "reconfigure"):
|
||
stream.reconfigure(encoding="utf-8", errors="backslashreplace")
|
||
args = build_parser().parse_args(argv)
|
||
source = args.input.expanduser().resolve()
|
||
if not source.is_file():
|
||
raise FileNotFoundError(source)
|
||
speaker_mode = args.speaker_layout is not None
|
||
binaural_mode = bool(args.binaural)
|
||
binaural_render_mode = args.binaural_mode
|
||
if binaural_mode and binaural_render_mode == "off":
|
||
raise ValueError(
|
||
"--binaural-mode off 仅用于 ADM BWF 输出（关闭 DBMD 双耳提示）；"
|
||
"直接双耳渲染请使用 near/mid/far")
|
||
if args.speaker_output is not None and not speaker_mode:
|
||
raise ValueError("--speaker-output 必须与 --speaker-layout 一起使用")
|
||
if args.binaural_output is not None and not binaural_mode:
|
||
raise ValueError("--binaural-output 必须与 --binaural 一起使用")
|
||
specific_outputs = [value for value in (args.speaker_output, args.binaural_output)
|
||
if value is not None]
|
||
if args.output is not None and specific_outputs:
|
||
raise ValueError("-o/--output 与 --speaker-output/--binaural-output 不能同时使用")
|
||
if len(specific_outputs) > 1:
|
||
raise ValueError("--speaker-output 与 --binaural-output 不能同时使用")
|
||
if args.speaker_metadata_offset < 0:
|
||
raise ValueError("speaker-metadata-offset 不能为负数")
|
||
hrtf_options_used = any((
|
||
args.sofa_hrtf is not None,
|
||
args.compiled_hrtf_cache is not None,
|
||
args.personalized_headphone is not None,
|
||
args.hrtf_cache_policy is not None,
|
||
args.hrtf_cache_dir is not None,
|
||
args.hrtf_radius_m != 1.0,
|
||
))
|
||
if hrtf_options_used and not binaural_mode:
|
||
raise ValueError("SOFA/HRTF 选项仅与 --binaural 一起使用")
|
||
if (not math.isfinite(args.binaural_tail_seconds)
|
||
or args.binaural_tail_seconds < 0):
|
||
raise ValueError("binaural-tail-seconds 必须是非负有限值")
|
||
if (not math.isfinite(args.binaural_tail_threshold)
|
||
or args.binaural_tail_threshold < 0):
|
||
raise ValueError("binaural-tail-threshold 必须是非负有限值")
|
||
if args.binaural_chunk_frames <= 0:
|
||
raise ValueError("binaural-chunk-frames 必须大于 0")
|
||
if not math.isfinite(args.hrtf_radius_m) or args.hrtf_radius_m <= 0.0:
|
||
raise ValueError("hrtf-radius-m 必须是正有限值")
|
||
requested_output = (args.speaker_output if args.speaker_output is not None
|
||
else args.binaural_output if args.binaural_output is not None
|
||
else args.output)
|
||
output = resolve_output(
|
||
source, requested_output, args.speaker_layout if speaker_mode else None,
|
||
binaural=binaural_mode)
|
||
output.parent.mkdir(parents=True, exist_ok=True)
|
||
if args.duration is not None and args.duration <= 0:
|
||
raise ValueError("duration 必须大于 0")
|
||
if args.object_delay_samples < 0:
|
||
raise ValueError("object-delay-samples 不能为负数")
|
||
gain_float64 = 10.0 ** (args.gain_db / 20.0)
|
||
gain = np.float32(gain_float64)
|
||
if not math.isfinite(gain_float64) or not np.isfinite(gain):
|
||
raise ValueError("gain-db 超出支持范围")
|
||
if (not math.isfinite(args.eac3_drc_scale)
|
||
or not 0.0 <= args.eac3_drc_scale <= EAC3_DRC_SCALE_MAX):
|
||
raise ValueError(f"eac3-drc-scale 必须在 0..{EAC3_DRC_SCALE_MAX:g} 之间")
|
||
if not (EAC3_TARGET_LEVEL_RANGE[0] <= args.eac3_target_level
|
||
<= EAC3_TARGET_LEVEL_RANGE[1]):
|
||
raise ValueError("eac3-target-level 必须在 -31..0 之间")
|
||
binaural_hrtf_input = resolve_binaural_hrtf_input(
|
||
args, required=binaural_mode and not args.metadata_only)
|
||
ffmpeg = executable(args.ffmpeg, "FFmpeg")
|
||
decode_options = ()
|
||
decode_option_info = None
|
||
if not args.metadata_only:
|
||
available = probe_eac3_decoder_options(ffmpeg)
|
||
decode_options, applied = eac3_decode_options(
|
||
args.eac3_drc_scale, args.eac3_target_level, available)
|
||
decode_option_info = {
|
||
"version": ffmpeg_version(ffmpeg),
|
||
"eac3_decode_options": applied,
|
||
}
|
||
print(f"[decode] ffmpeg {decode_option_info['version']} "
|
||
f"drc_scale={args.eac3_drc_scale:g} "
|
||
f"target_level={args.eac3_target_level}", flush=True)
|
||
|
||
total_started = time.perf_counter()
|
||
timings = {}
|
||
with tempfile.TemporaryDirectory(prefix="eac3joc-", dir=output.parent) as temporary:
|
||
temp_dir = Path(temporary)
|
||
eac3 = timed_call(timings, "extract_eac3", extract_eac3,
|
||
ffmpeg, source, temp_dir / "input.eac3")
|
||
index, metadata_backend, metadata_cache_dir = timed_call(
|
||
timings, "resolve_metadata", variant_call,
|
||
output, source, resolve_metadata, args, eac3, temp_dir)
|
||
timings["load_metadata_index"] = 0.0
|
||
frame_count = len(index)
|
||
if args.duration is not None:
|
||
frame_count = min(frame_count, math.ceil(args.duration * RATE / FRAME_SAMPLES))
|
||
duration_sec = frame_count * FRAME_SAMPLES / RATE
|
||
need_metadata_summary = (
|
||
args.metadata_only or args.metadata_json is not None or args.print_metadata != "none")
|
||
if need_metadata_summary:
|
||
metadata_json = (args.metadata_json or Path(str(output) + ".metadata.json")).resolve()
|
||
summary = timed_call(
|
||
timings, "metadata_summary", variant_call,
|
||
output, source, write_summary, index, metadata_json, limit=frame_count,
|
||
print_frames=args.print_metadata == "frames")
|
||
if args.print_metadata == "summary":
|
||
print("[metadata] " + json.dumps(summary, ensure_ascii=False, separators=(",", ":")))
|
||
print(f"[metadata] backend={metadata_backend} frames={frame_count} -> {metadata_json}")
|
||
else:
|
||
metadata_json = None
|
||
timings["metadata_summary"] = 0.0
|
||
print(f"[metadata] backend={metadata_backend} frames={frame_count} summary=skipped")
|
||
if args.metadata_only:
|
||
return 0
|
||
|
||
bed_path = timed_call(
|
||
timings, "decode_core", decode_core,
|
||
ffmpeg, eac3, temp_dir / "core51_f32le.raw", duration_sec,
|
||
options=decode_options)
|
||
raw_path = (output.with_name(output.name + ".objects16.f32le")
|
||
if args.keep_raw else None)
|
||
master = None
|
||
speaker_backend_info = None
|
||
speaker_wav_info = None
|
||
speaker_clip_info = None
|
||
speaker_actual_format = None
|
||
binaural_backend_info = None
|
||
binaural_hrtf_report = None
|
||
binaural_wav_info = None
|
||
binaural_clip_info = None
|
||
binaural_actual_format = None
|
||
if speaker_mode:
|
||
timings["create_binaural_renderer"] = 0.0
|
||
layout = get_speaker_layout(args.speaker_layout)
|
||
speaker_name = speaker_layout_display_name(layout)
|
||
speaker_decoder, speaker_backend_info = create_speaker_renderer(
|
||
layout, backend=args.backend, native_library=args.native_library)
|
||
fallback = speaker_backend_info.get("fallback_reason")
|
||
if fallback:
|
||
print(f"[speaker] native unavailable, falling back to Python: {fallback}",
|
||
flush=True)
|
||
print(f"[speaker] layout={speaker_name} backend={speaker_backend_info['name']} "
|
||
f"channels={layout.channel_count}", flush=True)
|
||
spool = SpeakerPcmSpool(
|
||
temp_dir / "speaker_interleaved_f32.raw",
|
||
frame_count * FRAME_SAMPLES, layout.channel_count)
|
||
try:
|
||
render_seconds, renderer_backend, render_breakdown = timed_call(
|
||
timings, "render_and_stream", variant_call,
|
||
output, source, render, index, bed_path, frame_count, raw_path, gain,
|
||
max(1, args.progress_every), args.backend, args.native_library,
|
||
args.native_threads, None, speaker_decoder, spool,
|
||
args.speaker_metadata_offset)
|
||
spool.finalize()
|
||
speaker_actual_format = choose_pcm_output_format(
|
||
args.speaker_format, args.clip_action, spool.peak,
|
||
spool.clipped_values)
|
||
speaker_wav_info = timed_call(
|
||
timings, "write_speaker_wav", write_pcm_wav,
|
||
output, spool.values, speaker_actual_format, rate=RATE)
|
||
speaker_clip_info = {
|
||
"peak": spool.peak,
|
||
"over_unity_values": spool.clipped_values,
|
||
"requested_format": args.speaker_format,
|
||
"actual_format": speaker_actual_format,
|
||
"clip_action": args.clip_action,
|
||
}
|
||
finally:
|
||
spool.close()
|
||
timings["build_adm_tracks"] = 0.0
|
||
timings["finalize_adm"] = 0.0
|
||
timings["validate_adm"] = 0.0
|
||
info = (f"speaker layout={speaker_name}, format={speaker_actual_format}, "
|
||
f"peak={speaker_clip_info['peak']:.9g}")
|
||
elif binaural_mode:
|
||
hrtf_source = binaural_hrtf_input
|
||
common_options = {
|
||
"mode": binaural_render_mode,
|
||
"object_delay_samples": args.object_delay_samples,
|
||
"tail_seconds": args.binaural_tail_seconds,
|
||
"output_gain": gain_float64,
|
||
"chunk_frames": args.binaural_chunk_frames,
|
||
}
|
||
if hrtf_source["kind"] == "sofa":
|
||
binaural_decoder = None
|
||
if args.backend in ("auto", "native"):
|
||
try:
|
||
from sofa_native_backend import create_native_sofa_renderer
|
||
binaural_decoder = timed_call(
|
||
timings, "create_binaural_renderer",
|
||
create_native_sofa_renderer,
|
||
hrtf_source["path"],
|
||
cache_policy=hrtf_source["cache_policy"],
|
||
cache_dir=hrtf_source["cache_dir"],
|
||
shell_radius_m=args.hrtf_radius_m,
|
||
**common_options)
|
||
except (ImportError, OSError, RuntimeError, ValueError) as exc:
|
||
print(
|
||
f"[binaural] native SOFA backend unavailable "
|
||
f"({exc.__class__.__name__}: {exc}); "
|
||
f"falling back to Python", flush=True)
|
||
binaural_decoder = None
|
||
if binaural_decoder is None:
|
||
binaural_decoder = timed_call(
|
||
timings, "create_binaural_renderer",
|
||
SofaBinauralRenderer.from_sofa,
|
||
hrtf_source["path"],
|
||
cache_policy=hrtf_source["cache_policy"],
|
||
cache_dir=hrtf_source["cache_dir"],
|
||
shell_radius_m=args.hrtf_radius_m,
|
||
**common_options)
|
||
elif hrtf_source["kind"] == "rosella":
|
||
binaural_decoder = timed_call(
|
||
timings, "create_binaural_renderer",
|
||
RosellaBinauralRenderer,
|
||
hrtf_source["path"],
|
||
mode=binaural_render_mode,
|
||
object_delay_samples=args.object_delay_samples,
|
||
tail_seconds=args.binaural_tail_seconds,
|
||
output_gain=gain_float64,
|
||
chunk_frames=args.binaural_chunk_frames,
|
||
backend=args.backend,
|
||
native_library=args.native_library)
|
||
else:
|
||
binaural_decoder = None
|
||
if args.backend in ("auto", "native"):
|
||
try:
|
||
from sofa_native_backend import (
|
||
create_native_compiled_cache_renderer)
|
||
binaural_decoder = timed_call(
|
||
timings, "create_binaural_renderer",
|
||
create_native_compiled_cache_renderer,
|
||
hrtf_source["path"],
|
||
**common_options)
|
||
except (ImportError, OSError, RuntimeError, ValueError) as exc:
|
||
print(
|
||
f"[binaural] native SOFA backend unavailable "
|
||
f"({exc.__class__.__name__}: {exc}); "
|
||
f"falling back to Python", flush=True)
|
||
binaural_decoder = None
|
||
if binaural_decoder is None:
|
||
binaural_decoder = timed_call(
|
||
timings, "create_binaural_renderer",
|
||
SofaBinauralRenderer.from_compiled_cache,
|
||
hrtf_source["path"],
|
||
**common_options)
|
||
print(
|
||
f"[binaural] mode={binaural_render_mode} "
|
||
f"backend={binaural_decoder.dsp_backend} "
|
||
f"precision=float64/complex128 "
|
||
f"hrtf={hrtf_source['kind']}:{hrtf_source['path']}", flush=True)
|
||
if hrtf_source["kind"] == "rosella":
|
||
flush_samples = math.ceil(
|
||
(args.binaural_tail_seconds * RATE
|
||
+ ROSSELLA_LATENCY_SAMPLES + ROSSELLA_BLOCK_SAMPLES)
|
||
/ ROSSELLA_BLOCK_SAMPLES) * ROSSELLA_BLOCK_SAMPLES
|
||
spool_capacity = frame_count * FRAME_SAMPLES + flush_samples
|
||
else:
|
||
spool_capacity = (
|
||
frame_count * FRAME_SAMPLES
|
||
+ binaural_decoder.finish_capacity_samples)
|
||
spool = BinauralPcmSpool(
|
||
temp_dir / "binaural_interleaved_f64.raw",
|
||
spool_capacity,
|
||
tail_threshold=args.binaural_tail_threshold)
|
||
try:
|
||
render_seconds, renderer_backend, render_breakdown = timed_call(
|
||
timings, "render_and_stream", variant_call,
|
||
output, source, render, index, bed_path, frame_count, raw_path,
|
||
np.float32(1.0), max(1, args.progress_every),
|
||
backend=args.backend, native_library=args.native_library,
|
||
native_threads=args.native_threads,
|
||
binaural_renderer=binaural_decoder, binaural_sink=spool,
|
||
binaural_metadata_offset=args.object_delay_samples, raw_scale=gain)
|
||
spool.finalize(minimum_samples=frame_count * FRAME_SAMPLES)
|
||
binaural_actual_format = choose_pcm_output_format(
|
||
args.binaural_format, args.clip_action, spool.peak,
|
||
spool.clipped_values)
|
||
binaural_wav_info = timed_call(
|
||
timings, "write_binaural_wav", write_pcm_wav,
|
||
output, spool.values, binaural_actual_format, rate=RATE)
|
||
binaural_clip_info = {
|
||
"peak": spool.peak,
|
||
"over_unity_values": spool.clipped_values,
|
||
"requested_format": args.binaural_format,
|
||
"actual_format": binaural_actual_format,
|
||
"clip_action": args.clip_action,
|
||
"tail_threshold": args.binaural_tail_threshold,
|
||
"source_samples": frame_count * FRAME_SAMPLES,
|
||
"kept_samples": spool.sample_count,
|
||
}
|
||
binaural_backend_info = binaural_decoder.backend_info
|
||
if hrtf_source["kind"] == "rosella":
|
||
binaural_hrtf_report = {
|
||
"input_kind": "rosella",
|
||
"input_path": str(binaural_decoder.model_path.resolve()),
|
||
"model_coefficient_sha256": (
|
||
binaural_decoder.model.coefficient_sha256),
|
||
"cache_policy": None,
|
||
}
|
||
else:
|
||
binaural_hrtf_report = {
|
||
"input_kind": binaural_backend_info["hrtf_input_kind"],
|
||
"input_path": binaural_backend_info["hrtf_input_path"],
|
||
"source_sha256": (
|
||
binaural_backend_info["field"]["source_sha256"]),
|
||
"cache_policy": binaural_backend_info["cache_policy"],
|
||
"cache_key": (
|
||
binaural_backend_info["field"]["cache_key"]),
|
||
"format_version": (
|
||
binaural_backend_info["field"]["format_version"]),
|
||
}
|
||
finally:
|
||
spool.close()
|
||
timings["build_adm_tracks"] = 0.0
|
||
timings["finalize_adm"] = 0.0
|
||
timings["validate_adm"] = 0.0
|
||
info = (f"binaural mode={binaural_render_mode}, "
|
||
f"format={binaural_actual_format}, "
|
||
f"peak={binaural_clip_info['peak']:.9g}, "
|
||
f"samples={binaural_clip_info['kept_samples']}")
|
||
else:
|
||
timings["create_binaural_renderer"] = 0.0
|
||
master = adm_assemble.StreamingMaster(
|
||
output, duration_sec, rate=RATE,
|
||
joc_binaural_mode=adm_atmos.JOC_BINAURAL_MODES[args.binaural_mode])
|
||
try:
|
||
render_seconds, renderer_backend, render_breakdown = timed_call(
|
||
timings, "render_and_stream", variant_call,
|
||
output, source, render, index, bed_path, frame_count, raw_path, gain,
|
||
max(1, args.progress_every), args.backend, args.native_library,
|
||
args.native_threads, master)
|
||
tracks = timed_call(
|
||
timings, "build_adm_tracks", variant_call,
|
||
output, source, oamd_tracks.build_adm_tracks,
|
||
index, index.rows[:frame_count], rate=RATE, frame_samples=FRAME_SAMPLES,
|
||
object_delay_samples=args.object_delay_samples,
|
||
trajectory_mode=args.trajectory_mode)
|
||
timed_call(timings, "finalize_adm", master.finalize, tracks)
|
||
except Exception:
|
||
master.abort()
|
||
raise
|
||
errors, info = timed_call(timings, "validate_adm", validate, str(output))
|
||
if errors:
|
||
raise RuntimeError("ADM 校验失败: " + "; ".join(errors))
|
||
# Windows 不允许删除仍被 NumPy memmap 持有的临时 core/raw；显式回收闭包。
|
||
import gc
|
||
gc.collect()
|
||
|
||
if args.skip_sha256:
|
||
output_sha = None
|
||
timings["sha256"] = 0.0
|
||
else:
|
||
output_sha = timed_call(timings, "sha256", sha256, output)
|
||
total_seconds = time.perf_counter() - total_started
|
||
mode_name = "speaker" if speaker_mode else "binaural" if binaural_mode else "adm"
|
||
report = {
|
||
"input": str(source),
|
||
"output": str(output),
|
||
"mode": mode_name,
|
||
"metadata": str(metadata_json) if metadata_json is not None else None,
|
||
"metadata_backend": metadata_backend,
|
||
"metadata_cache": str(metadata_cache_dir) if metadata_cache_dir is not None else None,
|
||
"frames": frame_count,
|
||
"duration_sec": duration_sec,
|
||
"gain_db": args.gain_db,
|
||
"gain_float32": float(gain),
|
||
"gain_float64": float(gain_float64),
|
||
"object_delay_samples": (None if speaker_mode else args.object_delay_samples),
|
||
"trajectory_mode": args.trajectory_mode if mode_name == "adm" else None,
|
||
"binaural_mode_value": (
|
||
adm_atmos.JOC_BINAURAL_MODES[args.binaural_mode]
|
||
if mode_name == "adm" else None),
|
||
"render_seconds": render_seconds,
|
||
"render_breakdown": render_breakdown,
|
||
"renderer_backend": renderer_backend,
|
||
"speaker_renderer_backend": speaker_backend_info,
|
||
"speaker_layout": args.speaker_layout if speaker_mode else None,
|
||
"speaker_metadata_offset": args.speaker_metadata_offset if speaker_mode else None,
|
||
"speaker_clip": speaker_clip_info,
|
||
"speaker_wav": speaker_wav_info,
|
||
"binaural_renderer_backend": binaural_backend_info,
|
||
"binaural_mode": (
|
||
args.binaural_mode if (binaural_mode or mode_name == "adm") else None),
|
||
"binaural_hrtf": (
|
||
binaural_hrtf_report if binaural_backend_info else None),
|
||
"binaural_clip": binaural_clip_info,
|
||
"binaural_wav": binaural_wav_info,
|
||
"output_clip": speaker_clip_info if speaker_mode else binaural_clip_info,
|
||
"output_wav": speaker_wav_info if speaker_mode else binaural_wav_info,
|
||
"streaming_adm": mode_name == "adm",
|
||
"kept_raw": str(raw_path) if raw_path is not None else None,
|
||
"timings": timings,
|
||
"total_seconds": total_seconds,
|
||
"adm_validation": info if mode_name == "adm" else None,
|
||
"adm_metadata": getattr(master, "metadata_info", None) if master is not None else None,
|
||
"sha256": output_sha,
|
||
"python": platform.python_version(),
|
||
"numpy": np.__version__,
|
||
"ffmpeg": decode_option_info,
|
||
}
|
||
report_path = Path(str(output) + ".report.json")
|
||
report_path.write_text(json.dumps(report, ensure_ascii=False, indent=2), encoding="utf-8")
|
||
print(f"[PASS] {output}")
|
||
if report["sha256"] is None:
|
||
print(f"[PASS] {info}; SHA-256 skipped")
|
||
else:
|
||
print(f"[PASS] {info}; SHA-256={report['sha256']}")
|
||
if speaker_mode:
|
||
print(f"[time] JOC-DSP={render_seconds:.2f}s ({renderer_backend['name']}) "
|
||
f"speaker={render_breakdown['speaker_render_seconds']:.2f}s "
|
||
f"pipeline={render_breakdown['pipeline_wall_seconds']:.2f}s "
|
||
f"total={report['total_seconds']:.2f}s")
|
||
elif binaural_mode:
|
||
print(f"[time] JOC-DSP={render_seconds:.2f}s ({renderer_backend['name']}) "
|
||
f"binaural={render_breakdown['binaural_render_seconds']:.2f}s "
|
||
f"pipeline={render_breakdown['pipeline_wall_seconds']:.2f}s "
|
||
f"total={report['total_seconds']:.2f}s")
|
||
else:
|
||
print(f"[time] DSP={render_seconds:.2f}s ({renderer_backend['name']}) "
|
||
f"render+ADM-stream={render_breakdown['pipeline_wall_seconds']:.2f}s "
|
||
f"total={report['total_seconds']:.2f}s")
|
||
print(f"[report] {report_path}")
|
||
return 0
|
||
|
||
|
||
if __name__ == "__main__":
|
||
try:
|
||
raise SystemExit(main())
|
||
except KeyboardInterrupt:
|
||
raise SystemExit(130)
|