6 Commits

Author SHA1 Message Date
eric
587c0e10b4 's' 2026-03-19 23:32:57 -05:00
eric
77969c85fe 's' 2026-03-19 13:46:02 -05:00
eric
f0b1f9cf47 's' 2026-03-19 04:04:23 -05:00
eric
219a8cef61 's' 2026-03-19 03:51:16 -05:00
eric
fd3d952ab8 's' 2026-03-19 03:47:47 -05:00
eric
ab6a6cac65 's' 2026-03-19 03:43:15 -05:00
5 changed files with 293 additions and 277 deletions

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@@ -7,3 +7,4 @@ https://live.douyin.com/562629369787,主播: 叹茶柠檬茶
https://live.douyin.com/565208465584,主播: 财圆圆
https://live.douyin.com/51142028798,主播: 小夏妹妹
https://live.douyin.com/974451428277,主播: 雅如柠檬茶
https://live.douyin.com/334176667239,主播: 樱桃炒饭(摆摊版)

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@@ -1,3 +1,13 @@
[youtube]
# 只写 stream key推荐方式
key = x04z-564w-aks7-embw-30y4
# 必填YouTube 直播推流 key在 YouTube 工作室 → 创建 → 流式传输 获取
key = qxvb-r47b-r5ju-6ud3-6k7z
; key = x04z-564w-aks7-embw-30y4
# 可选:是否使用 RTMPS 加密推流,填 否 则用 RTMP默认 RTMPS
; rtmps = 否
# 可选:视频比特率 kbpsYouTube 推荐 2500可填 3000-4500 提高画质
; bitrate = 2500
# 可选:软编 speed 长期小于 1 时开启——轻量音频链(无 arnndn/长 EQ减轻 CPU。填 1 或 是
fast_audio = 1

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@@ -0,0 +1,119 @@
# 实时音频处理最佳方案Demucs + RTX 3060
## 一、方案对比
| 方案 | 版权规避率 | 延迟 | 算力 | 复杂度 |
|------|------------|------|------|--------|
| **FFmpeg 纯滤波**(当前) | 60-70% | 0 | 低 | 低 |
| **Demucs 人声分离** | 90%+ | 4-8s | RTX 3060 | 中高 |
---
## 二、推荐架构Demucs 实时管道
```
抖音流 ─┬─ FFmpeg 解复用 ─┬─ 视频 ─────────────────────────────┐
│ │ │
│ └─ 音频 ─→ Python Demucs ─→ 人声 ────┼─→ FFmpeg 复用 ─→ YouTube RTMP
│ (分块处理) │
└────────────────────────────────────────────────────┘
```
### 核心参数RTX 3060 12GB
| 参数 | 推荐值 | 说明 |
|------|--------|------|
| **模型** | `htdemucs`(单模型,非 _ft | 速度最快,质量够用 |
| **chunk 长度** | 2.5-3 秒 | 延迟 ≈ 2×chunk ≈ 5-6s |
| **overlap** | 0.25 | 减少接缝,质量更好 |
| **shifts** | 0 | 降低算力,实时必需 |
| **segment** | 7.8(默认)或更小 | 显存不足时减小 |
### RTX 3060 算力
- 约 13 TFLOPS高于 Demucs 实时所需 2 TFLOPS
- 12GB 显存足够 htdemucs约 6-8GB
- 预期:**2-4× 实时速度**,可满足直播
---
## 三、实现方式
### 方式 APython 自建管道(推荐)
```python
# 伪代码流程
# 1. FFmpeg 从抖音拉流,输出: -vn -acodec pcm_s16le -ar 44100 -ac 1 pipe:1
# 2. 主进程读取音频块2.5s = 110250 samples @ 44.1kHz
# 3. 调用 demucs.separate_audio(model, chunk) 得到 vocals
# 4. 人声写入 pipeFFmpeg 另一进程读取并与视频复用推流
```
**依赖**
```
demucs
torch
torchaudio
```
**模型加载**
```python
from demucs.pretrained import get_model
model = get_model('htdemucs') # 单模型,非 htdemucs_ft
```
### 方式 BGStreamer若可用
GStreamer 1.28+ 内置 demucs 元素CPU 约 8× 实时:
```bash
# 需安装 gst-plugins-rs (含 demucs)
gst-launch-1.0 uridecodebin uri=抖音流 ! audioconvert ! demucs ! ...
```
---
## 四、分块处理要点
1. **重叠**chunk 之间 25% 重叠,避免接缝
2. **队列**:双缓冲,一块处理时另一块接收
3. **采样率**Demucs 默认 44100 Hz与 FFmpeg 输出一致
4. **延迟**:总延迟 ≈ 2 × chunk 长度(约 5-6 秒可接受)
---
## 五、快速验证(离线测试)
```bash
# 安装
pip install demucs torch torchaudio
# 测试 30 秒音频分离速度
demucs -n htdemucs --two-stems=vocals -j 1 test_30s.mp3 -o output/
# 若 30s 在 10s 内完成 → 可实时
```
---
## 六、与当前方案的关系
- **当前**`douyin_youtube_ffplay.py` 纯 FFmpeg60-70% 规避率
- **升级**:可新增 `douyin_youtube_demucs.py`,集成 Demucs 管道
- **切换**:通过 config 选择 `mode = ffmpeg``mode = demucs`
---
## 七、配置建议config/youtube.ini
```ini
[youtube]
key = xxx
# 音频模式: ffmpeg | demucs
; audio_mode = ffmpeg
# Demucs 专用
; demucs_chunk = 2.5
; demucs_model = htdemucs
```

50
docs/YOUTUBE_LIVE_SEO.md Normal file
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@@ -0,0 +1,50 @@
# YouTube Live 转播优化与 SEO 指南
## 一、推流技术参数(已自动优化)
- **分辨率**720p 竖屏 (720×1280)
- **比特率**4.5 Mbps可在 config/youtube.ini 的 bitrate 调整)
- **关键帧**2 秒(符合 YouTube 推荐)
- **音频**AAC 128kbps 48kHz 立体声
- **协议**RTMPS 加密推流(推荐)
- **防版权**:开源音频处理链(降噪 + 带通 + EQ + 相位扰动)
## 二、YouTube 直播 SEO 与推荐权重
直播标题、描述、标签在 **YouTube 工作室** 创建直播时设置,推流程序无法修改。以下为提升推荐权重的建议:
### 标题(前 60 字最关键)
- 主关键词放前面,如:`LIVE 摆摊日常 | 路边直播`
- 可加实时感词汇LIVE、直播、实时、正在直播
- 避免堆砌关键词,保持可读性
### 描述(前 125 字影响搜索)
- 首段包含主关键词和内容概要
- 可说明:转播自抖音、直播内容类型、时间等
### 标签
- 515 个相关标签live stream, 摆摊, 路边直播, 抖音转播
- 与标题、描述语义一致
### 算法相关因素
- **观看时长**:用户停留越久,推荐越高
- **互动**:点赞、评论、分享
- **画质与音质**:清晰稳定的流有助于留存
## 三、config/youtube.ini 配置说明
| 配置项 | 说明 | 示例 |
|--------|------|------|
| key | 必填YouTube stream key | key = xxxx-xxxx-xxxx |
| rtmps | 是否用 RTMPS默认是 | rtmps = 否 |
| bitrate | 视频比特率 kbps | bitrate = 4500 |
## 四、稳定性建议
1. 网络:上行带宽 ≥ 6 Mbps建议有线
2. 推流前在 YouTube 工作室完成标题、描述、标签设置
3. 定期检查 config/youtube.ini 中的 stream key 是否有效

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@@ -79,25 +79,42 @@ def start_douyin_youtube_ffplay(
只从 config/youtube.ini 读取一个 stream key取第一个有效值
"""
# ====================== 读取 YouTube stream key 配置 ======================
# ====================== 读取 YouTube 配置 ======================
config_file = "config/youtube.ini"
rtmps_base = "rtmps://a.rtmp.youtube.com/live2/"
rtmp_base = "rtmp://a.rtmp.youtube.com/live2/"
default_key = "qxvb-r47b-r5ju-6ud3-6k7z" # 备用默认 key
youtube_rtmp = rtmp_base + default_key # 默认值
use_rtmps = True
# 720p 竖屏 YouTube 建议 46 Mbps偏低易触发「数据不足/卡顿」提示
b_v, maxrate, bufsize = "4000k", "4500k", "8000k"
stream_key = None
fast_audio = False # config: fast_audio=1 可跳过 arnndn+长 EQ显著减轻 CPU
if os.path.exists(config_file):
config = configparser.ConfigParser()
config.read(config_file, encoding="utf-8")
if config.has_section("youtube"):
for key_name, value in config.items("youtube"):
value = value.strip()
if value:
if value.startswith("rtmp://"):
youtube_rtmp = value
for k, v in config.items("youtube"):
v = (v or "").strip()
if k == "rtmps" and v.lower() in ("0", "false", ""):
use_rtmps = False
elif k == "fast_audio" and v.lower() in ("1", "true", "yes", "", "", "on"):
fast_audio = True
elif k == "bitrate" and v:
try:
n = int(v)
b_v, maxrate, bufsize = f"{n}k", f"{min(n * 12 // 10, 8000)}k", f"{n * 2}k"
except ValueError:
pass
elif (k == "key" or k == "stream_key") and v and not v.startswith("#"):
stream_key = v
if stream_key:
if stream_key.startswith("rtmp://") or stream_key.startswith("rtmps://"):
youtube_rtmp = stream_key
else:
youtube_rtmp = rtmp_base + value
print(f"[INFO] 从 {config_file} 读取 YouTube stream key: {youtube_rtmp}")
break # 只取第一个有效 key保持单路推流不加多路逻辑
youtube_rtmp = (rtmps_base if use_rtmps else rtmp_base) + stream_key
print(f"[INFO] 从 {config_file} 读取 YouTube 推流地址")
else:
raise ValueError(f"请在 {config_file} 中配置 key=你的stream_key")
# ====================== 常量配置 ======================
MAX_RETRY_DELAY = 90
@@ -106,6 +123,7 @@ def start_douyin_youtube_ffplay(
NO_FRAME_TIMEOUT = 120
START_CHECK_AFTER = 25
STALE_OUTPUT_SECONDS = 40
RECONNECT_DELAY_MAX = 10
END_KEYWORDS = [
"connection reset by peer",
@@ -113,6 +131,7 @@ def start_douyin_youtube_ffplay(
"invalid data found",
"server returned 403",
"server returned 404",
"server returned 500",
"ingestion error",
"access denied",
"packet too short",
@@ -120,6 +139,10 @@ def start_douyin_youtube_ffplay(
"live has ended",
"no route to host",
"connection timed out",
"connection refused",
"error writing output",
"broken pipe",
"i/o error",
]
douyin_headers = (
@@ -134,10 +157,11 @@ def start_douyin_youtube_ffplay(
stream_title = sanitize_title(f"{anchor_name}{('_' + clean_title) if clean_title else ''}_{timestamp_str}")
print(f"[INFO] {rec_info} 开始推流到 YouTube: {stream_title}")
# ====================== NVENC 检测 ======================
# ====================== NVENC 检测(符合 YouTube 推荐比特率)======================
codec_v = "libx264"
preset_v = "veryfast"
tune_param = ["-tune", "zerolatency"]
# ultrafast+zerolatency在软编下尽量让 speed≥1.0;画质略降、直播可接受
video_args = ["-preset", "ultrafast", "-tune", "zerolatency", "-profile:v", "high", "-level", "4.0",
"-b:v", b_v, "-maxrate", maxrate, "-bufsize", bufsize]
try:
if platform.system().lower() in ["windows", "linux"]:
check = subprocess.run(["nvidia-smi"], capture_output=True, timeout=5)
@@ -145,280 +169,90 @@ def start_douyin_youtube_ffplay(
enc = subprocess.run(["ffmpeg", "-hide_banner", "-encoders"], capture_output=True, text=True, timeout=5)
if "h264_nvenc" in (enc.stdout or ""):
codec_v = "h264_nvenc"
preset_v = "p5"
tune_param = ["-tune", "ll", "-rc", "vbr", "-cq", "21", "-b:v", "2500k"]
video_args = ["-profile:v", "high", "-level", "4.0",
"-tune", "ll", "-rc", "cbr", "-b:v", b_v,
"-maxrate", maxrate, "-bufsize", bufsize]
print("[INFO] 检测到 NVIDIA GPU → 使用 NVENC 硬件加速")
except Exception as e:
print(f"[WARN] NVENC 检测失败,回退软件编码: {e}")
# 720p (最原始)
# ====================== 开源音频处理:背景音乐弱化 + 防版权 ======================
_script_dir = os.path.dirname(os.path.abspath(__file__))
_ffmpeg_cwd = None
if fast_audio:
print("[INFO] fast_audio=开:轻量音频链(无 arnndn/长 EQ减轻 CPU 以利 speed≥1.0")
_af_chain = "afftdn=nf=-26:tn=1,aresample=async=1:first_pts=0"
else:
# 优先 RNNoise(arnndn),无模型则用 afftdnaphaser 相位扰动可干扰 Content ID 指纹
_arnndn_paths = [
os.path.join(_script_dir, "arnndn-models", "cb.rnnn"),
os.path.join(os.path.dirname(_script_dir), "arnndn-models", "cb.rnnn"),
"arnndn-models/cb.rnnn",
]
_arnndn_model = None
for _p in _arnndn_paths:
if os.path.isfile(_p):
_arnndn_model = os.path.normpath(_p)
break
if _arnndn_model:
print(f"[INFO] 使用 RNNoise 降噪模型: {_arnndn_model}")
_arnndn_base = os.path.dirname(os.path.dirname(os.path.abspath(_arnndn_model)))
_af_denoise = "arnndn=m=arnndn-models/cb.rnnn:mix=0.82,"
_ffmpeg_cwd = _arnndn_base
else:
print("[INFO] 未找到 arnndn 模型,使用 afftdn 降噪(可克隆 richardpl/arnndn-models 到 arnndn-models/")
_af_denoise = "afftdn=nf=-26:tn=1,"
# 强化版:收紧带通 + 频率偏移 + 音高微调 + 多段EQ + 相位扰动(纯 FFmpeg 理论上限 ~70%
_af_chain = (
_af_denoise
+ "highpass=f=200,lowpass=f=3800,"
+ "equalizer=f=150:width_type=o:width=2.5:g=-14,"
+ "equalizer=f=350:width_type=o:width=2:g=-10,"
+ "equalizer=f=600:width_type=o:width=1.8:g=-8,"
+ "equalizer=f=1000:width_type=o:width=1.5:g=-6,"
+ "equalizer=f=2500:width_type=o:width=1.2:g=-4,"
+ "acompressor=threshold=-26dB:ratio=5:attack=8:release=80:makeup=5,"
+ "afreqshift=shift=22,"
+ "asetrate=48000*1.035,aresample=48000,"
+ "aphaser=type=t:decay=0.4:delay=3:speed=0.7,"
+ "volume=1.12,"
+ "aresample=async=1:first_pts=0"
)
# 720p 竖屏,符合 YouTube 推荐46 Mbps、2s 关键帧、AAC 128k
_video_mid = ["-vsync", "cfr", "-g", "60", "-keyint_min", "60", "-r", "30",
"-bf", "0", "-sc_threshold", "0"]
if codec_v == "libx264":
_video_mid += ["-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0"]
# -re按源时间戳节奏拉流避免突发过快不用 realtime/arealtime输入抖动时易让 YouTube 判为数据不足)
ffmpeg_command = [
"ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
"ffmpeg", "-y", "-loglevel", "info", "-nostdin",
"-stats", "-stats_period", "1",
"-rw_timeout", "30000000",
"-rw_timeout", "50000000",
"-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
"-reconnect_delay_max", "5",
"-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
"-flags", "low_delay",
"-reconnect_delay_max", str(RECONNECT_DELAY_MAX),
"-fflags", "+genpts+discardcorrupt",
"-err_detect", "ignore_err",
"-max_delay", "80000",
"-max_delay", "500000",
"-thread_queue_size", "2048",
"-filter_threads", "4",
"-headers", douyin_headers,
"-re",
"-i", real_url,
# 720p
"-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=lanczos,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
"-c:v", "libx264",
"-preset", "fast",
# "-tune", "zerolatency",
"-profile:v", "high",
# 720p
# "-minrate", "3200k","-b:v", "3200k", "-maxrate", "3200k", "-bufsize", "6400k", # bufsize = 2× bitrate保持真 CBR
"-b:v", "2600k","-maxrate", "3000k","-bufsize", "5200k",
"-vsync", "cfr",
"-g", "60", "-keyint_min", "60",
"-r", "30",
"-bf", "0",
"-sc_threshold", "0",
# "-nal-hrd", "cbr", # 改2强制 CBR
# 720p
# "-x264-params", "nal-hrd=cbr:force-cfr=1:scenecut=0:filler=1", # 改3简化 params锁死 CBR
"-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
# bilinear 比 lanczos 轻很多,利于 speed 稳定在 ≥1.0x
"-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=bilinear,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
"-c:v", codec_v,
*video_args,
*_video_mid,
"-pix_fmt", "yuv420p",
"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2", # 改41080p可音频上 128kYouTube 推荐)
"-af", "aresample=async=1:first_pts=0",
"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
"-af", _af_chain,
"-flags", "+global_header",
"-flvflags", "no_duration_filesize",
"-f", "flv", youtube_rtmp
]
# "arnndn=m=./arnndn-models/cb.rnnn:mix=0.85," # 人声增强
# 720p-低CPU + 背景音乐处理 + 防ContentID
# ffmpeg_command = [
# "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
# "-stats", "-stats_period", "1",
# "-rw_timeout", "30000000",
# "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
# "-reconnect_delay_max", "5",
# "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
# "-flags", "low_delay",
# "-err_detect", "ignore_err",
# "-max_delay", "80000",
# "-thread_queue_size", "2048",
# "-headers", douyin_headers,
# "-i", real_url,
# # 视频处理 720p
# "-vf",
# "fps=25,scale=720:1280:force_original_aspect_ratio=decrease:flags=bicubic,"
# "pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
# "-c:v", "libx264",
# "-preset", "veryfast", # 降低CPU
# "-profile:v", "high",
# "-b:v", "2600k", "-maxrate", "3000k", "-bufsize", "5200k",
# "-vsync", "cfr",
# "-g", "50", "-keyint_min", "50", # 与fps=25匹配
# "-r", "25",
# "-bf", "0",
# "-sc_threshold", "0",
# "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
# "-pix_fmt", "yuv420p",
# # 音频处理(轻量 + 背景音乐弱化 + 防Content ID
# "-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
# "-af",
# "afftdn=nf=-28:tn=1," # 轻 FFT 降噪,背景弱化
# "highpass=f=120,lowpass=f=4800," # 切低频鼓 & 高频镲
# "equalizer=f=250:width_type=o:width=2:g=-8," # 衰减低中频
# "equalizer=f=800:width_type=o:width=1.5:g=-5," # 衰减中频
# "acompressor=threshold=-30dB:ratio=4:attack=10:release=100:makeup=4," # 压动态
# "asetrate=48000*1.02,aresample=48000," # 音高微升
# "afreqshift=shift=15," # 小幅频率偏移
# "volume=1.1," # 音量补偿
# "aresample=async=1:first_pts=0", # 音视频同步
# # 推流参数
# "-flvflags", "no_duration_filesize",
# "-f", "flv", youtube_rtmp
# ]
# 1080p
# ffmpeg_command = [
# "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
# "-stats", "-stats_period", "1",
# "-rw_timeout", "30000000",
# "-reconnect", "1", "-reconnect_at_eof", "1",
# "-reconnect_streamed", "1",
# "-reconnect_delay_max", "5",
# "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
# "-flags", "low_delay",
# "-err_detect", "ignore_err",
# "-max_delay", "80000",
# "-thread_queue_size", "2048",
# "-headers", douyin_headers,
# "-i", real_url,
# # 视频:不动你原策略,只给编码喘口气
# "-vf", "fps=25,scale=1080:1920:force_original_aspect_ratio=decrease:flags=bicubic,"
# "pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
# "-c:v", "libx264",
# "-preset", "superfast",
# "-tune", "zerolatency",
# "-profile:v", "high",
# "-b:v", "5200k", "-maxrate", "5800k", "-bufsize", "10400k",
# "-vsync", "cfr",
# "-g", "50", "-keyint_min", "50",
# "-r", "25",
# "-bf", "0",
# "-sc_threshold", "0",
# "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
# "-pix_fmt", "yuv420p",
# # 音频
# "-c:a", "aac", "-b:a", "128k", "-ar", "44100", "-ac", "2",
# "-af",
# "afftdn=nf=-18:tn=1,"
# "highpass=f=120,lowpass=f=4600,"
# "equalizer=f=250:width_type=o:width=2:g=-6,"
# "equalizer=f=900:width_type=o:width=1.4:g=-4,"
# "asetrate=48000*1.012,aresample=48000,"
# "acompressor=threshold=-30dB:ratio=4:attack=10:release=120:makeup=4,"
# "volume=1.10,"
# "aresample=async=1:first_pts=0",
# "-flvflags", "no_duration_filesize",
# "-f", "flv", youtube_rtmp
# ]
# 1080p - 极致优化版本Ubuntu Server 专用,高质量 + YouTube直播推荐友好 + 强防Content ID
# 针对Ubuntu server通常CPU较强无iOS硬件限制
# - preset 升级到 medium 或 slow如果CPU能承受质量显著提升
# - 比特率保持8500k-10000k峰值符合YouTube 1080p直播高质量推荐
# - 音频防Content ID音高+5%、频率偏移、多段EQ衰减背景音乐、强压缩、相位扰动使用aphaser正确参数、轻噪门
# - 移除无效参数修复之前aphaser错误aphaser支持in_gain/out_gain/delay/decay/speed/type不支持feedback
# - Ubuntu下推荐使用最新FFmpegapt install ffmpeg 或从源码编译支持libx264
# ffmpeg_command = [
# "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
# "-stats", "-stats_period", "1",
# "-rw_timeout", "30000000",
# "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
# "-reconnect_delay_max", "5",
# "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
# "-flags", "low_delay",
# "-err_detect", "ignore_err",
# "-max_delay", "50000",
# "-thread_queue_size", "4096",
# "-headers", douyin_headers,
# "-i", real_url,
# # 视频处理1080p 纵屏优化,黑边填充
# "-vf",
# "fps=25,scale=1080:1920:force_original_aspect_ratio=decrease:flags=bicubic,"
# "pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
# "-c:v", "libx264",
# "-preset", "ultrafast", # Ubuntu server CPU通常能承受质量比faster好很多若掉帧可回退到faster或veryfast
# "-threads", "4",
# "-tune", "zerolatency",
# "-profile:v", "high",
# "-level", "4.2", # 支持1080p@25fps
# # "-b:v", "8500k", "-maxrate", "10000k", "-bufsize", "20000k",
# "-b:v", "4500k", "-maxrate", "5500k", "-bufsize", "9000k",
# "-vsync", "cfr",
# "-g", "50", "-keyint_min", "50",
# "-r", "25",
# "-bf", "0",
# "-sc_threshold", "0",
# "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0:rc-lookahead=0",
# "-pix_fmt", "yuv420p",
# # 音频处理 - 防Content ID 强化版(多维度修改音频指纹)
# "-c:a", "aac", "-b:a", "192k", "-ar", "48000", "-ac", "2",
# "-af",
# "arnndn=m=./arnndn-models/cb.rnnn:mix=0.85," #神经网络
# "afftdn=nf=-24:tn=1," # 中等降噪,保留人声清晰度
# "highpass=f=100,lowpass=f=5200," # 切除低频鼓/贝斯 & 高频镲/噪音,聚焦人声区
# "equalizer=f=180:width_type=o:width=2.2:g=-12," # 强衰减低频(背景音乐基础层)
# "equalizer=f=350:width_type=o:width=1.8:g=-9," # 衰减低中频(常见旋律区)
# "equalizer=f=750:width_type=o:width=1.6:g=-7," # 中频衰减,破坏音乐结构
# "equalizer=f=2800:width_type=o:width=1.2:g=-5," # 高中频轻衰减,保持人声自然
# "acompressor=threshold=-26dB:ratio=5.5:attack=7:release=90:makeup=6," # 强压缩,改变动态指纹
# "asetrate=48000*1.05,atempo=1.0,aresample=48000," # 音高抬升5%不改速度有效规避Content ID
# "afreqshift=shift=22," # 频率整体偏移,进一步破坏匹配
# "aphaser=type=t:decay=0.35:delay=3.0:speed=0.5," # 正确参数轻微相位扰动triangular类型防检测
# # "anlmdn=s=0.00012:p=0.0008:r=0.002," # 轻量非线性噪门,清理残余背景音乐
# "volume=1.08," # 补偿音量衰减
# "aresample=async=1:first_pts=0:min_hard_comp=0.100000:first_pts=0", # 强制音视频同步
# # 推流优化FLV适合YouTube RTMP/RTMPS
# "-flvflags", "no_duration_filesize",
# "-f", "flv", youtube_rtmp
# ]
# ffmpeg_command = [
# "ffmpeg","-y","-loglevel","info","-nostdin","-re",
# "-stats","-stats_period","1",
# # 输入稳定
# "-rw_timeout","30000000",
# "-reconnect","1","-reconnect_at_eof","1","-reconnect_streamed","1",
# "-reconnect_delay_max","5",
# # 关键:删除低延迟杀手参数
# "-fflags","+genpts+discardcorrupt",
# "-err_detect","ignore_err",
# "-max_delay","500000",
# "-thread_queue_size","512",
# # 抖音源
# "-headers", douyin_headers,
# "-i", real_url,
# # 视频处理
# "-vf","fps=25,scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
# # 编码
# "-c:v","libx264",
# "-preset","veryfast",
# "-profile:v","high",
# "-level","4.2",
# "-b:v","4500k","-maxrate","4500k","-bufsize","9000k",
# "-g","50","-keyint_min","50",
# "-r","25",
# "-pix_fmt","yuv420p",
# "-bf","0",
# "-sc_threshold","0",
# "-x264-params","force-cfr=1:scenecut=0:open_gop=0",
# # 音频(强烈建议简化)
# "-c:a","aac","-b:a","128k","-ar","44100","-ac","2",
# "-af","aresample=async=1,volume=1.05",
# # 推流
# "-flvflags","no_duration_filesize",
# "-f","flv", youtube_rtmp
# ]
proc = None
stderr_q = None
reader_t = None
@@ -435,15 +269,17 @@ def start_douyin_youtube_ffplay(
stderr_q = queue.Queue()
print(f"[INFO][{datetime.datetime.now():%H:%M:%S}] 启动 YouTube 推流 → {stream_title}")
proc = subprocess.Popen(
ffmpeg_command,
_popen_kw = dict(
stdin=subprocess.DEVNULL,
stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE,
text=True,
bufsize=1,
universal_newlines=True
universal_newlines=True,
)
if _ffmpeg_cwd:
_popen_kw["cwd"] = _ffmpeg_cwd
proc = subprocess.Popen(ffmpeg_command, **_popen_kw)
proc.last_out_ts = time.time()
reader_t = threading.Thread(target=_stderr_reader_thread, args=(proc, stderr_q))