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

View File

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

View File

@@ -1,3 +1,13 @@
[youtube] [youtube]
# 只写 stream key推荐方式 # 必填YouTube 直播推流 key在 YouTube 工作室 → 创建 → 流式传输 获取
key = x04z-564w-aks7-embw-30y4 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

View File

@@ -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
View File

@@ -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

View File

@@ -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 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" config_file = "config/youtube.ini"
rtmps_base = "rtmps://a.rtmp.youtube.com/live2/"
rtmp_base = "rtmp://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 use_rtmps = True
youtube_rtmp = rtmp_base + default_key # 默认值 # 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): if os.path.exists(config_file):
config = configparser.ConfigParser() config = configparser.ConfigParser()
config.read(config_file, encoding="utf-8") config.read(config_file, encoding="utf-8")
if config.has_section("youtube"): if config.has_section("youtube"):
for key_name, value in config.items("youtube"): for k, v in config.items("youtube"):
value = value.strip() v = (v or "").strip()
if value: if k == "rtmps" and v.lower() in ("0", "false", ""):
if value.startswith("rtmp://"): use_rtmps = False
youtube_rtmp = value elif k == "fast_audio" and v.lower() in ("1", "true", "yes", "", "", "on"):
else: fast_audio = True
youtube_rtmp = rtmp_base + value elif k == "bitrate" and v:
print(f"[INFO] 从 {config_file} 读取 YouTube stream key: {youtube_rtmp}") try:
break # 只取第一个有效 key保持单路推流不加多路逻辑 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 = (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 ====================== # ====================== 常量配置 ======================
MAX_RETRY_DELAY = 90 MAX_RETRY_DELAY = 90
@@ -106,6 +123,7 @@ def start_douyin_youtube_ffplay(
NO_FRAME_TIMEOUT = 120 NO_FRAME_TIMEOUT = 120
START_CHECK_AFTER = 25 START_CHECK_AFTER = 25
STALE_OUTPUT_SECONDS = 40 STALE_OUTPUT_SECONDS = 40
RECONNECT_DELAY_MAX = 10
END_KEYWORDS = [ END_KEYWORDS = [
"connection reset by peer", "connection reset by peer",
@@ -113,6 +131,7 @@ def start_douyin_youtube_ffplay(
"invalid data found", "invalid data found",
"server returned 403", "server returned 403",
"server returned 404", "server returned 404",
"server returned 500",
"ingestion error", "ingestion error",
"access denied", "access denied",
"packet too short", "packet too short",
@@ -120,6 +139,10 @@ def start_douyin_youtube_ffplay(
"live has ended", "live has ended",
"no route to host", "no route to host",
"connection timed out", "connection timed out",
"connection refused",
"error writing output",
"broken pipe",
"i/o error",
] ]
douyin_headers = ( 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}") 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}") 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" codec_v = "libx264"
preset_v = "veryfast" # ultrafast+zerolatency在软编下尽量让 speed≥1.0;画质略降、直播可接受
tune_param = ["-tune", "zerolatency"] video_args = ["-preset", "ultrafast", "-tune", "zerolatency", "-profile:v", "high", "-level", "4.0",
"-b:v", b_v, "-maxrate", maxrate, "-bufsize", bufsize]
try: try:
if platform.system().lower() in ["windows", "linux"]: if platform.system().lower() in ["windows", "linux"]:
check = subprocess.run(["nvidia-smi"], capture_output=True, timeout=5) 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) enc = subprocess.run(["ffmpeg", "-hide_banner", "-encoders"], capture_output=True, text=True, timeout=5)
if "h264_nvenc" in (enc.stdout or ""): if "h264_nvenc" in (enc.stdout or ""):
codec_v = "h264_nvenc" codec_v = "h264_nvenc"
preset_v = "p5" video_args = ["-profile:v", "high", "-level", "4.0",
tune_param = ["-tune", "ll", "-rc", "vbr", "-cq", "21", "-b:v", "2500k"] "-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") print("[INFO] 检测到 NVIDIA GPU → 使用 NVENC 硬件加速")
except Exception as e: except Exception as e:
print(f"[WARN] NVENC 检测失败,回退软件编码: {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_command = [
"ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re", "ffmpeg", "-y", "-loglevel", "info", "-nostdin",
"-stats", "-stats_period", "1", "-stats", "-stats_period", "1",
"-rw_timeout", "30000000", "-rw_timeout", "50000000",
"-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1", "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
"-reconnect_delay_max", "5", "-reconnect_delay_max", str(RECONNECT_DELAY_MAX),
"-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets", "-fflags", "+genpts+discardcorrupt",
"-flags", "low_delay",
"-err_detect", "ignore_err", "-err_detect", "ignore_err",
"-max_delay", "80000", "-max_delay", "500000",
"-thread_queue_size", "2048", "-thread_queue_size", "2048",
"-filter_threads", "4",
"-headers", douyin_headers, "-headers", douyin_headers,
"-re",
"-i", real_url, "-i", real_url,
# 720p # 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=lanczos,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black", "-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", "libx264", "-c:v", codec_v,
"-preset", "fast", *video_args,
# "-tune", "zerolatency", *_video_mid,
"-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",
"-pix_fmt", "yuv420p", "-pix_fmt", "yuv420p",
"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2", # 改41080p可音频上 128kYouTube 推荐) "-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
"-af", "aresample=async=1:first_pts=0", "-af", _af_chain,
"-flags", "+global_header", "-flags", "+global_header",
"-flvflags", "no_duration_filesize", "-flvflags", "no_duration_filesize",
"-f", "flv", youtube_rtmp "-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 proc = None
stderr_q = None stderr_q = None
reader_t = None reader_t = None
@@ -435,15 +269,17 @@ def start_douyin_youtube_ffplay(
stderr_q = queue.Queue() stderr_q = queue.Queue()
print(f"[INFO][{datetime.datetime.now():%H:%M:%S}] 启动 YouTube 推流 → {stream_title}") print(f"[INFO][{datetime.datetime.now():%H:%M:%S}] 启动 YouTube 推流 → {stream_title}")
proc = subprocess.Popen( _popen_kw = dict(
ffmpeg_command,
stdin=subprocess.DEVNULL, stdin=subprocess.DEVNULL,
stdout=subprocess.DEVNULL, stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE, stderr=subprocess.PIPE,
text=True, text=True,
bufsize=1, 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() proc.last_out_ts = time.time()
reader_t = threading.Thread(target=_stderr_reader_thread, args=(proc, stderr_q)) reader_t = threading.Thread(target=_stderr_reader_thread, args=(proc, stderr_q))