's'

config/youtube.ini

@@ -8,3 +8,6 @@ key = qxvb-r47b-r5ju-6ud3-6k7z
 
 # 可选：视频比特率 kbps，YouTube 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

douyin_youtube_ffplay.py

@@ -84,8 +84,10 @@ def start_douyin_youtube_ffplay(
     rtmps_base = "rtmps://a.rtmp.youtube.com/live2/"
     rtmp_base = "rtmp://a.rtmp.youtube.com/live2/"
     use_rtmps = True
-    b_v, maxrate, bufsize = "2500k", "3000k", "5000k"
+    # 720p 竖屏 YouTube 建议 4–6 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()
@@ -95,6 +97,8 @@ def start_douyin_youtube_ffplay(
                 v = (v or "").strip()
                 if k == "rtmps" and v.lower() in ("0", "false", "否"):
                     use_rtmps = False
+                elif k == "fast_audio" and v.lower() in ("1", "true", "yes", "是", "开", "on"):
+                    fast_audio = True
                 elif k == "bitrate" and v:
                     try:
                         n = int(v)
@@ -155,7 +159,8 @@ def start_douyin_youtube_ffplay(
 
     # ====================== NVENC 检测（符合 YouTube 推荐比特率）======================
     codec_v = "libx264"
-    video_args = ["-preset", "fast", "-profile:v", "high", "-level", "4.0",
+    # 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"]:
@@ -172,8 +177,13 @@ def start_douyin_youtube_ffplay(
         print(f"[WARN] NVENC 检测失败，回退软件编码: {e}")
 
     # ====================== 开源音频处理：背景音乐弱化 + 防版权 ======================
-    # 优先 RNNoise(arnndn)，无模型则用 afftdn；aphaser 相位扰动可干扰 Content ID 指纹
     _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 afftdn；aphaser 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"),
@@ -184,10 +194,8 @@ def start_douyin_youtube_ffplay(
             if os.path.isfile(_p):
                 _arnndn_model = os.path.normpath(_p)
                 break
-    _ffmpeg_cwd = None
         if _arnndn_model:
             print(f"[INFO] 使用 RNNoise 降噪模型: {_arnndn_model}")
-        # 跨平台：用相对路径避免 Windows 下 C: 冒号破坏 FFmpeg 滤镜解析；FFmpeg 以模型所在父目录为 cwd
             _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
@@ -198,16 +206,16 @@ def start_douyin_youtube_ffplay(
         # 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,"                    # 收紧人声区 200-3800Hz，削弱更多音乐
+            + "highpass=f=200,lowpass=f=3800,"
-        + "equalizer=f=150:width_type=o:width=2.5:g=-14,"    # 强衰减低频
+            + "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,"     # 多段 EQ 破坏音乐结构
+            + "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,"                              # 频率整体偏移，破坏指纹
+            + "afreqshift=shift=22,"
-        + "asetrate=48000*1.035,aresample=48000,"             # 音高微升 3.5%
+            + "asetrate=48000*1.035,aresample=48000,"
-        + "aphaser=type=t:decay=0.4:delay=3:speed=0.7,"       # 加强相位扰动
+            + "aphaser=type=t:decay=0.4:delay=3:speed=0.7,"
             + "volume=1.12,"
             + "aresample=async=1:first_pts=0"
         )
@@ -217,20 +225,23 @@ def start_douyin_youtube_ffplay(
                   "-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", "50000000",
         "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
         "-reconnect_delay_max", str(RECONNECT_DELAY_MAX),
-        "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
+        "-fflags", "+genpts+discardcorrupt",
-        "-flags", "low_delay",
         "-err_detect", "ignore_err",
-        "-max_delay", "80000",
+        "-max_delay", "500000",
         "-thread_queue_size", "2048",
+        "-filter_threads", "4",
         "-headers", douyin_headers,
+        "-re",
         "-i", real_url,
-        "-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=lanczos,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
+        # 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,