From b90c8bfa0276c70b6a0ce864331728471f5bf5f8 Mon Sep 17 00:00:00 2001 From: Werner Robitza Date: Mon, 14 Oct 2024 21:02:50 +0200 Subject: [PATCH] Bump version to 1.29.0 --- CHANGELOG.md | 5 + docs/ffmpeg_normalize.html | 888 ++++++++++++++++++----------------- docs/search.js | 2 +- ffmpeg_normalize/_version.py | 2 +- 4 files changed, 462 insertions(+), 435 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 96c11a7..b2ba3aa 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,11 @@ # Changelog +## v1.29.0 (2024-10-14) + +* Add option to set audio channels directly. + + ## v1.28.3 (2024-08-16) * Make colorama dependency windows-only. diff --git a/docs/ffmpeg_normalize.html b/docs/ffmpeg_normalize.html index 5be83c5..800b67e 100644 --- a/docs/ffmpeg_normalize.html +++ b/docs/ffmpeg_normalize.html @@ -65,6 +65,9 @@

API Documentation

  • sample_rate
    • +
  • + audio_channels +
  • audio_codec
    • @@ -329,196 +332,199 @@

    64 audio_codec (str, optional): Audio codec. Defaults to "pcm_s16le". 65 audio_bitrate (float, optional): Audio bitrate. Defaults to None. 66 sample_rate (int, optional): Sample rate. Defaults to None. - 67 keep_original_audio (bool, optional): Keep original audio. Defaults to False. - 68 pre_filter (str, optional): Pre filter. Defaults to None. - 69 post_filter (str, optional): Post filter. Defaults to None. - 70 video_codec (str, optional): Video codec. Defaults to "copy". - 71 video_disable (bool, optional): Disable video. Defaults to False. - 72 subtitle_disable (bool, optional): Disable subtitles. Defaults to False. - 73 metadata_disable (bool, optional): Disable metadata. Defaults to False. - 74 chapters_disable (bool, optional): Disable chapters. Defaults to False. - 75 extra_input_options (list, optional): Extra input options. Defaults to None. - 76 extra_output_options (list, optional): Extra output options. Defaults to None. - 77 output_format (str, optional): Output format. Defaults to None. - 78 dry_run (bool, optional): Dry run. Defaults to False. - 79 debug (bool, optional): Debug. Defaults to False. - 80 progress (bool, optional): Progress. Defaults to False. - 81 - 82 Raises: - 83 FFmpegNormalizeError: If the ffmpeg executable is not found or does not support the loudnorm filter. - 84 """ - 85 - 86 def __init__( - 87 self, - 88 normalization_type: Literal["ebu", "rms", "peak"] = "ebu", - 89 target_level: float = -23.0, - 90 print_stats: bool = False, - 91 # threshold=0.5, - 92 loudness_range_target: float = 7.0, - 93 keep_loudness_range_target: bool = False, - 94 keep_lra_above_loudness_range_target: bool = False, - 95 true_peak: float = -2.0, - 96 offset: float = 0.0, - 97 dual_mono: bool = False, - 98 dynamic: bool = False, - 99 audio_codec: str = "pcm_s16le", -100 audio_bitrate: float | None = None, -101 sample_rate: float | int | None = None, -102 keep_original_audio: bool = False, -103 pre_filter: str | None = None, -104 post_filter: str | None = None, -105 video_codec: str = "copy", -106 video_disable: bool = False, -107 subtitle_disable: bool = False, -108 metadata_disable: bool = False, -109 chapters_disable: bool = False, -110 extra_input_options: list[str] | None = None, -111 extra_output_options: list[str] | None = None, -112 output_format: str | None = None, -113 dry_run: bool = False, -114 debug: bool = False, -115 progress: bool = False, -116 ): -117 self.ffmpeg_exe = get_ffmpeg_exe() -118 self.has_loudnorm_capabilities = ffmpeg_has_loudnorm() -119 -120 if normalization_type not in NORMALIZATION_TYPES: -121 raise FFmpegNormalizeError( -122 "Normalization type must be: 'ebu', 'rms', or 'peak'" -123 ) -124 self.normalization_type = normalization_type -125 -126 if not self.has_loudnorm_capabilities and self.normalization_type == "ebu": -127 raise FFmpegNormalizeError( -128 "Your ffmpeg does not support the 'loudnorm' EBU R128 filter. " -129 "Please install ffmpeg v4.2 or above, or choose another normalization type." -130 ) -131 -132 if self.normalization_type == "ebu": -133 self.target_level = check_range(target_level, -70, -5, name="target_level") -134 else: -135 self.target_level = check_range(target_level, -99, 0, name="target_level") -136 -137 self.print_stats = print_stats + 67 audio_channels (int | None, optional): Audio channels. Defaults to None. + 68 keep_original_audio (bool, optional): Keep original audio. Defaults to False. + 69 pre_filter (str, optional): Pre filter. Defaults to None. + 70 post_filter (str, optional): Post filter. Defaults to None. + 71 video_codec (str, optional): Video codec. Defaults to "copy". + 72 video_disable (bool, optional): Disable video. Defaults to False. + 73 subtitle_disable (bool, optional): Disable subtitles. Defaults to False. + 74 metadata_disable (bool, optional): Disable metadata. Defaults to False. + 75 chapters_disable (bool, optional): Disable chapters. Defaults to False. + 76 extra_input_options (list, optional): Extra input options. Defaults to None. + 77 extra_output_options (list, optional): Extra output options. Defaults to None. + 78 output_format (str, optional): Output format. Defaults to None. + 79 dry_run (bool, optional): Dry run. Defaults to False. + 80 debug (bool, optional): Debug. Defaults to False. + 81 progress (bool, optional): Progress. Defaults to False. + 82 + 83 Raises: + 84 FFmpegNormalizeError: If the ffmpeg executable is not found or does not support the loudnorm filter. + 85 """ + 86 + 87 def __init__( + 88 self, + 89 normalization_type: Literal["ebu", "rms", "peak"] = "ebu", + 90 target_level: float = -23.0, + 91 print_stats: bool = False, + 92 # threshold=0.5, + 93 loudness_range_target: float = 7.0, + 94 keep_loudness_range_target: bool = False, + 95 keep_lra_above_loudness_range_target: bool = False, + 96 true_peak: float = -2.0, + 97 offset: float = 0.0, + 98 dual_mono: bool = False, + 99 dynamic: bool = False, +100 audio_codec: str = "pcm_s16le", +101 audio_bitrate: float | None = None, +102 sample_rate: float | int | None = None, +103 audio_channels: int | None = None, +104 keep_original_audio: bool = False, +105 pre_filter: str | None = None, +106 post_filter: str | None = None, +107 video_codec: str = "copy", +108 video_disable: bool = False, +109 subtitle_disable: bool = False, +110 metadata_disable: bool = False, +111 chapters_disable: bool = False, +112 extra_input_options: list[str] | None = None, +113 extra_output_options: list[str] | None = None, +114 output_format: str | None = None, +115 dry_run: bool = False, +116 debug: bool = False, +117 progress: bool = False, +118 ): +119 self.ffmpeg_exe = get_ffmpeg_exe() +120 self.has_loudnorm_capabilities = ffmpeg_has_loudnorm() +121 +122 if normalization_type not in NORMALIZATION_TYPES: +123 raise FFmpegNormalizeError( +124 "Normalization type must be: 'ebu', 'rms', or 'peak'" +125 ) +126 self.normalization_type = normalization_type +127 +128 if not self.has_loudnorm_capabilities and self.normalization_type == "ebu": +129 raise FFmpegNormalizeError( +130 "Your ffmpeg does not support the 'loudnorm' EBU R128 filter. " +131 "Please install ffmpeg v4.2 or above, or choose another normalization type." +132 ) +133 +134 if self.normalization_type == "ebu": +135 self.target_level = check_range(target_level, -70, -5, name="target_level") +136 else: +137 self.target_level = check_range(target_level, -99, 0, name="target_level") 138 -139 # self.threshold = float(threshold) +139 self.print_stats = print_stats 140 -141 self.loudness_range_target = check_range( -142 loudness_range_target, 1, 50, name="loudness_range_target" -143 ) -144 -145 self.keep_loudness_range_target = keep_loudness_range_target +141 # self.threshold = float(threshold) +142 +143 self.loudness_range_target = check_range( +144 loudness_range_target, 1, 50, name="loudness_range_target" +145 ) 146 -147 if self.keep_loudness_range_target and loudness_range_target != 7.0: -148 _logger.warning( -149 "Setting --keep-loudness-range-target will override your set loudness range target value! " -150 "Remove --keep-loudness-range-target or remove the --lrt/--loudness-range-target option." -151 ) -152 -153 self.keep_lra_above_loudness_range_target = keep_lra_above_loudness_range_target +147 self.keep_loudness_range_target = keep_loudness_range_target +148 +149 if self.keep_loudness_range_target and loudness_range_target != 7.0: +150 _logger.warning( +151 "Setting --keep-loudness-range-target will override your set loudness range target value! " +152 "Remove --keep-loudness-range-target or remove the --lrt/--loudness-range-target option." +153 ) 154 -155 if ( -156 self.keep_loudness_range_target -157 and self.keep_lra_above_loudness_range_target -158 ): -159 raise FFmpegNormalizeError( -160 "Options --keep-loudness-range-target and --keep-lra-above-loudness-range-target are mutually exclusive! " -161 "Please choose just one of the two options." -162 ) -163 -164 self.true_peak = check_range(true_peak, -9, 0, name="true_peak") -165 self.offset = check_range(offset, -99, 99, name="offset") -166 -167 # Ensure library user is passing correct types -168 assert isinstance(dual_mono, bool), "dual_mono must be bool" -169 assert isinstance(dynamic, bool), "dynamic must be bool" -170 -171 self.dual_mono = dual_mono -172 self.dynamic = dynamic -173 self.sample_rate = None if sample_rate is None else int(sample_rate) -174 -175 self.audio_codec = audio_codec -176 self.audio_bitrate = audio_bitrate -177 self.keep_original_audio = keep_original_audio -178 self.video_codec = video_codec -179 self.video_disable = video_disable -180 self.subtitle_disable = subtitle_disable -181 self.metadata_disable = metadata_disable -182 self.chapters_disable = chapters_disable -183 -184 self.extra_input_options = extra_input_options -185 self.extra_output_options = extra_output_options -186 self.pre_filter = pre_filter -187 self.post_filter = post_filter -188 -189 self.output_format = output_format -190 self.dry_run = dry_run -191 self.debug = debug -192 self.progress = progress -193 -194 if ( -195 self.audio_codec is None or "pcm" in self.audio_codec -196 ) and self.output_format in PCM_INCOMPATIBLE_FORMATS: -197 raise FFmpegNormalizeError( -198 f"Output format {self.output_format} does not support PCM audio. " -199 "Please choose a suitable audio codec with the -c:a option." -200 ) -201 -202 self.stats: list[LoudnessStatisticsWithMetadata] = [] -203 self.media_files: list[MediaFile] = [] -204 self.file_count = 0 -205 -206 def add_media_file(self, input_file: str, output_file: str) -> None: -207 """ -208 Add a media file to normalize -209 -210 Args: -211 input_file (str): Path to input file -212 output_file (str): Path to output file -213 """ -214 if not os.path.exists(input_file): -215 raise FFmpegNormalizeError(f"file {input_file} does not exist") -216 -217 ext = os.path.splitext(output_file)[1][1:] -218 if ( -219 self.audio_codec is None or "pcm" in self.audio_codec -220 ) and ext in PCM_INCOMPATIBLE_EXTS: -221 raise FFmpegNormalizeError( -222 f"Output extension {ext} does not support PCM audio. " -223 "Please choose a suitable audio codec with the -c:a option." -224 ) -225 -226 self.media_files.append(MediaFile(self, input_file, output_file)) -227 self.file_count += 1 +155 self.keep_lra_above_loudness_range_target = keep_lra_above_loudness_range_target +156 +157 if ( +158 self.keep_loudness_range_target +159 and self.keep_lra_above_loudness_range_target +160 ): +161 raise FFmpegNormalizeError( +162 "Options --keep-loudness-range-target and --keep-lra-above-loudness-range-target are mutually exclusive! " +163 "Please choose just one of the two options." +164 ) +165 +166 self.true_peak = check_range(true_peak, -9, 0, name="true_peak") +167 self.offset = check_range(offset, -99, 99, name="offset") +168 +169 # Ensure library user is passing correct types +170 assert isinstance(dual_mono, bool), "dual_mono must be bool" +171 assert isinstance(dynamic, bool), "dynamic must be bool" +172 +173 self.dual_mono = dual_mono +174 self.dynamic = dynamic +175 self.sample_rate = None if sample_rate is None else int(sample_rate) +176 self.audio_channels = None if audio_channels is None else int(audio_channels) +177 +178 self.audio_codec = audio_codec +179 self.audio_bitrate = audio_bitrate +180 self.keep_original_audio = keep_original_audio +181 self.video_codec = video_codec +182 self.video_disable = video_disable +183 self.subtitle_disable = subtitle_disable +184 self.metadata_disable = metadata_disable +185 self.chapters_disable = chapters_disable +186 +187 self.extra_input_options = extra_input_options +188 self.extra_output_options = extra_output_options +189 self.pre_filter = pre_filter +190 self.post_filter = post_filter +191 +192 self.output_format = output_format +193 self.dry_run = dry_run +194 self.debug = debug +195 self.progress = progress +196 +197 if ( +198 self.audio_codec is None or "pcm" in self.audio_codec +199 ) and self.output_format in PCM_INCOMPATIBLE_FORMATS: +200 raise FFmpegNormalizeError( +201 f"Output format {self.output_format} does not support PCM audio. " +202 "Please choose a suitable audio codec with the -c:a option." +203 ) +204 +205 self.stats: list[LoudnessStatisticsWithMetadata] = [] +206 self.media_files: list[MediaFile] = [] +207 self.file_count = 0 +208 +209 def add_media_file(self, input_file: str, output_file: str) -> None: +210 """ +211 Add a media file to normalize +212 +213 Args: +214 input_file (str): Path to input file +215 output_file (str): Path to output file +216 """ +217 if not os.path.exists(input_file): +218 raise FFmpegNormalizeError(f"file {input_file} does not exist") +219 +220 ext = os.path.splitext(output_file)[1][1:] +221 if ( +222 self.audio_codec is None or "pcm" in self.audio_codec +223 ) and ext in PCM_INCOMPATIBLE_EXTS: +224 raise FFmpegNormalizeError( +225 f"Output extension {ext} does not support PCM audio. " +226 "Please choose a suitable audio codec with the -c:a option." +227 ) 228 -229 def run_normalization(self) -> None: -230 """ -231 Run the normalization procedures -232 """ -233 for index, media_file in enumerate( -234 tqdm(self.media_files, desc="File", disable=not self.progress, position=0) -235 ): -236 _logger.info( -237 f"Normalizing file {media_file} ({index + 1} of {self.file_count})" -238 ) -239 -240 try: -241 media_file.run_normalization() -242 except Exception as e: -243 if len(self.media_files) > 1: -244 # simply warn and do not die -245 _logger.error( -246 f"Error processing input file {media_file}, will " -247 f"continue batch-processing. Error was: {e}" -248 ) -249 else: -250 # raise the error so the program will exit -251 raise e -252 -253 _logger.info(f"Normalized file written to {media_file.output_file}") -254 -255 if self.print_stats and self.stats: -256 print(json.dumps(self.stats, indent=4)) +229 self.media_files.append(MediaFile(self, input_file, output_file)) +230 self.file_count += 1 +231 +232 def run_normalization(self) -> None: +233 """ +234 Run the normalization procedures +235 """ +236 for index, media_file in enumerate( +237 tqdm(self.media_files, desc="File", disable=not self.progress, position=0) +238 ): +239 _logger.info( +240 f"Normalizing file {media_file} ({index + 1} of {self.file_count})" +241 ) +242 +243 try: +244 media_file.run_normalization() +245 except Exception as e: +246 if len(self.media_files) > 1: +247 # simply warn and do not die +248 _logger.error( +249 f"Error processing input file {media_file}, will " +250 f"continue batch-processing. Error was: {e}" +251 ) +252 else: +253 # raise the error so the program will exit +254 raise e +255 +256 _logger.info(f"Normalized file written to {media_file.output_file}") +257 +258 if self.print_stats and self.stats: +259 print(json.dumps(self.stats, indent=4)) @@ -540,6 +546,7 @@

    Arguments:
  • audio_codec (str, optional): Audio codec. Defaults to "pcm_s16le".
  • audio_bitrate (float, optional): Audio bitrate. Defaults to None.
  • sample_rate (int, optional): Sample rate. Defaults to None.
    • +
  • audio_channels (int | None, optional): Audio channels. Defaults to None.
  • keep_original_audio (bool, optional): Keep original audio. Defaults to False.
  • pre_filter (str, optional): Pre filter. Defaults to None.
  • post_filter (str, optional): Post filter. Defaults to None.
    • @@ -568,131 +575,133 @@
    Raises:
    - FFmpegNormalize( normalization_type: Literal['ebu', 'rms', 'peak'] = 'ebu', target_level: float = -23.0, print_stats: bool = False, loudness_range_target: float = 7.0, keep_loudness_range_target: bool = False, keep_lra_above_loudness_range_target: bool = False, true_peak: float = -2.0, offset: float = 0.0, dual_mono: bool = False, dynamic: bool = False, audio_codec: str = 'pcm_s16le', audio_bitrate: float | None = None, sample_rate: float | int | None = None, keep_original_audio: bool = False, pre_filter: str | None = None, post_filter: str | None = None, video_codec: str = 'copy', video_disable: bool = False, subtitle_disable: bool = False, metadata_disable: bool = False, chapters_disable: bool = False, extra_input_options: list[str] | None = None, extra_output_options: list[str] | None = None, output_format: str | None = None, dry_run: bool = False, debug: bool = False, progress: bool = False) + FFmpegNormalize( normalization_type: Literal['ebu', 'rms', 'peak'] = 'ebu', target_level: float = -23.0, print_stats: bool = False, loudness_range_target: float = 7.0, keep_loudness_range_target: bool = False, keep_lra_above_loudness_range_target: bool = False, true_peak: float = -2.0, offset: float = 0.0, dual_mono: bool = False, dynamic: bool = False, audio_codec: str = 'pcm_s16le', audio_bitrate: float | None = None, sample_rate: float | int | None = None, audio_channels: int | None = None, keep_original_audio: bool = False, pre_filter: str | None = None, post_filter: str | None = None, video_codec: str = 'copy', video_disable: bool = False, subtitle_disable: bool = False, metadata_disable: bool = False, chapters_disable: bool = False, extra_input_options: list[str] | None = None, extra_output_options: list[str] | None = None, output_format: str | None = None, dry_run: bool = False, debug: bool = False, progress: bool = False)
    - 
     86    def __init__(
- 87        self,
- 88        normalization_type: Literal["ebu", "rms", "peak"] = "ebu",
- 89        target_level: float = -23.0,
- 90        print_stats: bool = False,
- 91        # threshold=0.5,
- 92        loudness_range_target: float = 7.0,
- 93        keep_loudness_range_target: bool = False,
- 94        keep_lra_above_loudness_range_target: bool = False,
- 95        true_peak: float = -2.0,
- 96        offset: float = 0.0,
- 97        dual_mono: bool = False,
- 98        dynamic: bool = False,
- 99        audio_codec: str = "pcm_s16le",
-100        audio_bitrate: float | None = None,
-101        sample_rate: float | int | None = None,
-102        keep_original_audio: bool = False,
-103        pre_filter: str | None = None,
-104        post_filter: str | None = None,
-105        video_codec: str = "copy",
-106        video_disable: bool = False,
-107        subtitle_disable: bool = False,
-108        metadata_disable: bool = False,
-109        chapters_disable: bool = False,
-110        extra_input_options: list[str] | None = None,
-111        extra_output_options: list[str] | None = None,
-112        output_format: str | None = None,
-113        dry_run: bool = False,
-114        debug: bool = False,
-115        progress: bool = False,
-116    ):
-117        self.ffmpeg_exe = get_ffmpeg_exe()
-118        self.has_loudnorm_capabilities = ffmpeg_has_loudnorm()
-119
-120        if normalization_type not in NORMALIZATION_TYPES:
-121            raise FFmpegNormalizeError(
-122                "Normalization type must be: 'ebu', 'rms', or 'peak'"
-123            )
-124        self.normalization_type = normalization_type
-125
-126        if not self.has_loudnorm_capabilities and self.normalization_type == "ebu":
-127            raise FFmpegNormalizeError(
-128                "Your ffmpeg does not support the 'loudnorm' EBU R128 filter. "
-129                "Please install ffmpeg v4.2 or above, or choose another normalization type."
-130            )
-131
-132        if self.normalization_type == "ebu":
-133            self.target_level = check_range(target_level, -70, -5, name="target_level")
-134        else:
-135            self.target_level = check_range(target_level, -99, 0, name="target_level")
-136
-137        self.print_stats = print_stats
+            
     87    def __init__(
+ 88        self,
+ 89        normalization_type: Literal["ebu", "rms", "peak"] = "ebu",
+ 90        target_level: float = -23.0,
+ 91        print_stats: bool = False,
+ 92        # threshold=0.5,
+ 93        loudness_range_target: float = 7.0,
+ 94        keep_loudness_range_target: bool = False,
+ 95        keep_lra_above_loudness_range_target: bool = False,
+ 96        true_peak: float = -2.0,
+ 97        offset: float = 0.0,
+ 98        dual_mono: bool = False,
+ 99        dynamic: bool = False,
+100        audio_codec: str = "pcm_s16le",
+101        audio_bitrate: float | None = None,
+102        sample_rate: float | int | None = None,
+103        audio_channels: int | None = None,
+104        keep_original_audio: bool = False,
+105        pre_filter: str | None = None,
+106        post_filter: str | None = None,
+107        video_codec: str = "copy",
+108        video_disable: bool = False,
+109        subtitle_disable: bool = False,
+110        metadata_disable: bool = False,
+111        chapters_disable: bool = False,
+112        extra_input_options: list[str] | None = None,
+113        extra_output_options: list[str] | None = None,
+114        output_format: str | None = None,
+115        dry_run: bool = False,
+116        debug: bool = False,
+117        progress: bool = False,
+118    ):
+119        self.ffmpeg_exe = get_ffmpeg_exe()
+120        self.has_loudnorm_capabilities = ffmpeg_has_loudnorm()
+121
+122        if normalization_type not in NORMALIZATION_TYPES:
+123            raise FFmpegNormalizeError(
+124                "Normalization type must be: 'ebu', 'rms', or 'peak'"
+125            )
+126        self.normalization_type = normalization_type
+127
+128        if not self.has_loudnorm_capabilities and self.normalization_type == "ebu":
+129            raise FFmpegNormalizeError(
+130                "Your ffmpeg does not support the 'loudnorm' EBU R128 filter. "
+131                "Please install ffmpeg v4.2 or above, or choose another normalization type."
+132            )
+133
+134        if self.normalization_type == "ebu":
+135            self.target_level = check_range(target_level, -70, -5, name="target_level")
+136        else:
+137            self.target_level = check_range(target_level, -99, 0, name="target_level")
 138
-139        # self.threshold = float(threshold)
+139        self.print_stats = print_stats
 140
-141        self.loudness_range_target = check_range(
-142            loudness_range_target, 1, 50, name="loudness_range_target"
-143        )
-144
-145        self.keep_loudness_range_target = keep_loudness_range_target
+141        # self.threshold = float(threshold)
+142
+143        self.loudness_range_target = check_range(
+144            loudness_range_target, 1, 50, name="loudness_range_target"
+145        )
 146
-147        if self.keep_loudness_range_target and loudness_range_target != 7.0:
-148            _logger.warning(
-149                "Setting --keep-loudness-range-target will override your set loudness range target value! "
-150                "Remove --keep-loudness-range-target or remove the --lrt/--loudness-range-target option."
-151            )
-152
-153        self.keep_lra_above_loudness_range_target = keep_lra_above_loudness_range_target
+147        self.keep_loudness_range_target = keep_loudness_range_target
+148
+149        if self.keep_loudness_range_target and loudness_range_target != 7.0:
+150            _logger.warning(
+151                "Setting --keep-loudness-range-target will override your set loudness range target value! "
+152                "Remove --keep-loudness-range-target or remove the --lrt/--loudness-range-target option."
+153            )
 154
-155        if (
-156            self.keep_loudness_range_target
-157            and self.keep_lra_above_loudness_range_target
-158        ):
-159            raise FFmpegNormalizeError(
-160                "Options --keep-loudness-range-target and --keep-lra-above-loudness-range-target are mutually exclusive! "
-161                "Please choose just one of the two options."
-162            )
-163
-164        self.true_peak = check_range(true_peak, -9, 0, name="true_peak")
-165        self.offset = check_range(offset, -99, 99, name="offset")
-166
-167        # Ensure library user is passing correct types
-168        assert isinstance(dual_mono, bool), "dual_mono must be bool"
-169        assert isinstance(dynamic, bool), "dynamic must be bool"
-170
-171        self.dual_mono = dual_mono
-172        self.dynamic = dynamic
-173        self.sample_rate = None if sample_rate is None else int(sample_rate)
-174
-175        self.audio_codec = audio_codec
-176        self.audio_bitrate = audio_bitrate
-177        self.keep_original_audio = keep_original_audio
-178        self.video_codec = video_codec
-179        self.video_disable = video_disable
-180        self.subtitle_disable = subtitle_disable
-181        self.metadata_disable = metadata_disable
-182        self.chapters_disable = chapters_disable
-183
-184        self.extra_input_options = extra_input_options
-185        self.extra_output_options = extra_output_options
-186        self.pre_filter = pre_filter
-187        self.post_filter = post_filter
-188
-189        self.output_format = output_format
-190        self.dry_run = dry_run
-191        self.debug = debug
-192        self.progress = progress
-193
-194        if (
-195            self.audio_codec is None or "pcm" in self.audio_codec
-196        ) and self.output_format in PCM_INCOMPATIBLE_FORMATS:
-197            raise FFmpegNormalizeError(
-198                f"Output format {self.output_format} does not support PCM audio. "
-199                "Please choose a suitable audio codec with the -c:a option."
-200            )
-201
-202        self.stats: list[LoudnessStatisticsWithMetadata] = []
-203        self.media_files: list[MediaFile] = []
-204        self.file_count = 0
+155        self.keep_lra_above_loudness_range_target = keep_lra_above_loudness_range_target
+156
+157        if (
+158            self.keep_loudness_range_target
+159            and self.keep_lra_above_loudness_range_target
+160        ):
+161            raise FFmpegNormalizeError(
+162                "Options --keep-loudness-range-target and --keep-lra-above-loudness-range-target are mutually exclusive! "
+163                "Please choose just one of the two options."
+164            )
+165
+166        self.true_peak = check_range(true_peak, -9, 0, name="true_peak")
+167        self.offset = check_range(offset, -99, 99, name="offset")
+168
+169        # Ensure library user is passing correct types
+170        assert isinstance(dual_mono, bool), "dual_mono must be bool"
+171        assert isinstance(dynamic, bool), "dynamic must be bool"
+172
+173        self.dual_mono = dual_mono
+174        self.dynamic = dynamic
+175        self.sample_rate = None if sample_rate is None else int(sample_rate)
+176        self.audio_channels = None if audio_channels is None else int(audio_channels)
+177
+178        self.audio_codec = audio_codec
+179        self.audio_bitrate = audio_bitrate
+180        self.keep_original_audio = keep_original_audio
+181        self.video_codec = video_codec
+182        self.video_disable = video_disable
+183        self.subtitle_disable = subtitle_disable
+184        self.metadata_disable = metadata_disable
+185        self.chapters_disable = chapters_disable
+186
+187        self.extra_input_options = extra_input_options
+188        self.extra_output_options = extra_output_options
+189        self.pre_filter = pre_filter
+190        self.post_filter = post_filter
+191
+192        self.output_format = output_format
+193        self.dry_run = dry_run
+194        self.debug = debug
+195        self.progress = progress
+196
+197        if (
+198            self.audio_codec is None or "pcm" in self.audio_codec
+199        ) and self.output_format in PCM_INCOMPATIBLE_FORMATS:
+200            raise FFmpegNormalizeError(
+201                f"Output format {self.output_format} does not support PCM audio. "
+202                "Please choose a suitable audio codec with the -c:a option."
+203            )
+204
+205        self.stats: list[LoudnessStatisticsWithMetadata] = []
+206        self.media_files: list[MediaFile] = []
+207        self.file_count = 0
 
    
 
 
@@ -830,6 +839,17 @@ 
    Raises:
    
     
     
 
+
    +
    +
    + audio_channels + + +
    + + + +
    @@ -1051,28 +1071,28 @@
    Raises:
    - 
    206    def add_media_file(self, input_file: str, output_file: str) -> None:
-207        """
-208        Add a media file to normalize
-209
-210        Args:
-211            input_file (str): Path to input file
-212            output_file (str): Path to output file
-213        """
-214        if not os.path.exists(input_file):
-215            raise FFmpegNormalizeError(f"file {input_file} does not exist")
-216
-217        ext = os.path.splitext(output_file)[1][1:]
-218        if (
-219            self.audio_codec is None or "pcm" in self.audio_codec
-220        ) and ext in PCM_INCOMPATIBLE_EXTS:
-221            raise FFmpegNormalizeError(
-222                f"Output extension {ext} does not support PCM audio. "
-223                "Please choose a suitable audio codec with the -c:a option."
-224            )
-225
-226        self.media_files.append(MediaFile(self, input_file, output_file))
-227        self.file_count += 1
+            
    209    def add_media_file(self, input_file: str, output_file: str) -> None:
+210        """
+211        Add a media file to normalize
+212
+213        Args:
+214            input_file (str): Path to input file
+215            output_file (str): Path to output file
+216        """
+217        if not os.path.exists(input_file):
+218            raise FFmpegNormalizeError(f"file {input_file} does not exist")
+219
+220        ext = os.path.splitext(output_file)[1][1:]
+221        if (
+222            self.audio_codec is None or "pcm" in self.audio_codec
+223        ) and ext in PCM_INCOMPATIBLE_EXTS:
+224            raise FFmpegNormalizeError(
+225                f"Output extension {ext} does not support PCM audio. "
+226                "Please choose a suitable audio codec with the -c:a option."
+227            )
+228
+229        self.media_files.append(MediaFile(self, input_file, output_file))
+230        self.file_count += 1
 
    
 
 
@@ -1099,34 +1119,34 @@ 
    Arguments:
    - 
    229    def run_normalization(self) -> None:
-230        """
-231        Run the normalization procedures
-232        """
-233        for index, media_file in enumerate(
-234            tqdm(self.media_files, desc="File", disable=not self.progress, position=0)
-235        ):
-236            _logger.info(
-237                f"Normalizing file {media_file} ({index + 1} of {self.file_count})"
-238            )
-239
-240            try:
-241                media_file.run_normalization()
-242            except Exception as e:
-243                if len(self.media_files) > 1:
-244                    # simply warn and do not die
-245                    _logger.error(
-246                        f"Error processing input file {media_file}, will "
-247                        f"continue batch-processing. Error was: {e}"
-248                    )
-249                else:
-250                    # raise the error so the program will exit
-251                    raise e
-252
-253            _logger.info(f"Normalized file written to {media_file.output_file}")
-254
-255        if self.print_stats and self.stats:
-256            print(json.dumps(self.stats, indent=4))
+            
    232    def run_normalization(self) -> None:
+233        """
+234        Run the normalization procedures
+235        """
+236        for index, media_file in enumerate(
+237            tqdm(self.media_files, desc="File", disable=not self.progress, position=0)
+238        ):
+239            _logger.info(
+240                f"Normalizing file {media_file} ({index + 1} of {self.file_count})"
+241            )
+242
+243            try:
+244                media_file.run_normalization()
+245            except Exception as e:
+246                if len(self.media_files) > 1:
+247                    # simply warn and do not die
+248                    _logger.error(
+249                        f"Error processing input file {media_file}, will "
+250                        f"continue batch-processing. Error was: {e}"
+251                    )
+252                else:
+253                    # raise the error so the program will exit
+254                    raise e
+255
+256            _logger.info(f"Normalized file written to {media_file.output_file}")
+257
+258        if self.print_stats and self.stats:
+259            print(json.dumps(self.stats, indent=4))
 
    
 
 
@@ -1498,87 +1518,89 @@ 
    Inherited Members
    
     356            cmd.extend(["-b:a", str(self.ffmpeg_normalize.audio_bitrate)])
 357        if self.ffmpeg_normalize.sample_rate:
 358            cmd.extend(["-ar", str(self.ffmpeg_normalize.sample_rate)])
-359
-360        # ... and subtitles
-361        if not self.ffmpeg_normalize.subtitle_disable:
-362            for s in self.streams["subtitle"].keys():
-363                cmd.extend(["-map", f"0:{s}"])
-364            # copy subtitles
-365            cmd.extend(["-c:s", "copy"])
-366
-367        if self.ffmpeg_normalize.keep_original_audio:
-368            highest_index = len(self.streams["audio"])
-369            for index, _ in enumerate(self.streams["audio"].items()):
-370                cmd.extend(["-map", f"0:a:{index}"])
-371                cmd.extend([f"-c:a:{highest_index + index}", "copy"])
-372
-373        # extra options (if any)
-374        if self.ffmpeg_normalize.extra_output_options:
-375            cmd.extend(self.ffmpeg_normalize.extra_output_options)
-376
-377        # output format (if any)
-378        if self.ffmpeg_normalize.output_format:
-379            cmd.extend(["-f", self.ffmpeg_normalize.output_format])
-380
-381        # if dry run, only show sample command
-382        if self.ffmpeg_normalize.dry_run:
-383            cmd.append(self.output_file)
-384            CommandRunner(dry=True).run_command(cmd)
-385            yield 100
-386            return
-387
-388        temp_dir = mkdtemp()
-389        temp_file = os.path.join(temp_dir, f"out.{self.output_ext}")
-390        cmd.append(temp_file)
-391
-392        cmd_runner = CommandRunner()
-393        try:
-394            try:
-395                yield from cmd_runner.run_ffmpeg_command(cmd)
-396            except Exception as e:
-397                _logger.error(
-398                    f"Error while running command {shlex.join(cmd)}! Error: {e}"
-399                )
-400                raise e
-401            else:
-402                _logger.debug(
-403                    f"Moving temporary file from {temp_file} to {self.output_file}"
-404                )
-405                move(temp_file, self.output_file)
-406                rmtree(temp_dir, ignore_errors=True)
-407        except Exception as e:
-408            rmtree(temp_dir, ignore_errors=True)
-409            raise e
-410
-411        output = cmd_runner.get_output()
-412        # in the second pass, we do not normalize stream-by-stream, so we set the stats based on the
-413        # overall output (which includes multiple loudnorm stats)
-414        if self.ffmpeg_normalize.normalization_type == "ebu":
-415            all_stats = AudioStream.prune_and_parse_loudnorm_output(
-416                output, num_stats=len(self.streams["audio"])
-417            )
-418            for idx, audio_stream in enumerate(self.streams["audio"].values()):
-419                audio_stream.set_second_pass_stats(all_stats[idx])
-420
-421        # collect all stats for the final report, again (overwrite the input)
-422        self.ffmpeg_normalize.stats = [
-423            audio_stream.get_stats() for audio_stream in self.streams["audio"].values()
-424        ]
-425
-426        # warn if self.media_file.ffmpeg_normalize.dynamic == False and any of the second pass stats contain "normalization_type" == "dynamic"
-427        if self.ffmpeg_normalize.dynamic is False:
-428            for audio_stream in self.streams["audio"].values():
-429                pass2_stats = audio_stream.get_stats()["ebu_pass2"]
-430                if pass2_stats is None:
-431                    continue
-432                if pass2_stats["normalization_type"] == "dynamic":
-433                    _logger.warning(
-434                        "You specified linear normalization, but the loudnorm filter reverted to dynamic normalization. "
-435                        "This may lead to unexpected results."
-436                        "Consider your input settings, e.g. choose a lower target level or higher target loudness range."
-437                    )
-438
-439        _logger.debug("Normalization finished")
+359        if self.ffmpeg_normalize.audio_channels:
+360            cmd.extend(["-ac", str(self.ffmpeg_normalize.audio_channels)])
+361
+362        # ... and subtitles
+363        if not self.ffmpeg_normalize.subtitle_disable:
+364            for s in self.streams["subtitle"].keys():
+365                cmd.extend(["-map", f"0:{s}"])
+366            # copy subtitles
+367            cmd.extend(["-c:s", "copy"])
+368
+369        if self.ffmpeg_normalize.keep_original_audio:
+370            highest_index = len(self.streams["audio"])
+371            for index, _ in enumerate(self.streams["audio"].items()):
+372                cmd.extend(["-map", f"0:a:{index}"])
+373                cmd.extend([f"-c:a:{highest_index + index}", "copy"])
+374
+375        # extra options (if any)
+376        if self.ffmpeg_normalize.extra_output_options:
+377            cmd.extend(self.ffmpeg_normalize.extra_output_options)
+378
+379        # output format (if any)
+380        if self.ffmpeg_normalize.output_format:
+381            cmd.extend(["-f", self.ffmpeg_normalize.output_format])
+382
+383        # if dry run, only show sample command
+384        if self.ffmpeg_normalize.dry_run:
+385            cmd.append(self.output_file)
+386            CommandRunner(dry=True).run_command(cmd)
+387            yield 100
+388            return
+389
+390        temp_dir = mkdtemp()
+391        temp_file = os.path.join(temp_dir, f"out.{self.output_ext}")
+392        cmd.append(temp_file)
+393
+394        cmd_runner = CommandRunner()
+395        try:
+396            try:
+397                yield from cmd_runner.run_ffmpeg_command(cmd)
+398            except Exception as e:
+399                _logger.error(
+400                    f"Error while running command {shlex.join(cmd)}! Error: {e}"
+401                )
+402                raise e
+403            else:
+404                _logger.debug(
+405                    f"Moving temporary file from {temp_file} to {self.output_file}"
+406                )
+407                move(temp_file, self.output_file)
+408                rmtree(temp_dir, ignore_errors=True)
+409        except Exception as e:
+410            rmtree(temp_dir, ignore_errors=True)
+411            raise e
+412
+413        output = cmd_runner.get_output()
+414        # in the second pass, we do not normalize stream-by-stream, so we set the stats based on the
+415        # overall output (which includes multiple loudnorm stats)
+416        if self.ffmpeg_normalize.normalization_type == "ebu":
+417            all_stats = AudioStream.prune_and_parse_loudnorm_output(
+418                output, num_stats=len(self.streams["audio"])
+419            )
+420            for idx, audio_stream in enumerate(self.streams["audio"].values()):
+421                audio_stream.set_second_pass_stats(all_stats[idx])
+422
+423        # collect all stats for the final report, again (overwrite the input)
+424        self.ffmpeg_normalize.stats = [
+425            audio_stream.get_stats() for audio_stream in self.streams["audio"].values()
+426        ]
+427
+428        # warn if self.media_file.ffmpeg_normalize.dynamic == False and any of the second pass stats contain "normalization_type" == "dynamic"
+429        if self.ffmpeg_normalize.dynamic is False:
+430            for audio_stream in self.streams["audio"].values():
+431                pass2_stats = audio_stream.get_stats()["ebu_pass2"]
+432                if pass2_stats is None:
+433                    continue
+434                if pass2_stats["normalization_type"] == "dynamic":
+435                    _logger.warning(
+436                        "You specified linear normalization, but the loudnorm filter reverted to dynamic normalization. "
+437                        "This may lead to unexpected results."
+438                        "Consider your input settings, e.g. choose a lower target level or higher target loudness range."
+439                    )
+440
+441        _logger.debug("Normalization finished")
    @@ -3277,7 +3299,7 @@
    Arguments:
    __version__ = -'1.28.3' +'1.29.0'
    diff --git a/docs/search.js b/docs/search.js index c36b42a..89616d6 100644 --- a/docs/search.js +++ b/docs/search.js @@ -1,6 +1,6 @@ window.pdocSearch = (function(){ /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. 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t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" 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u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o

    \n"}, "ffmpeg_normalize.FFmpegNormalize": {"fullname": "ffmpeg_normalize.FFmpegNormalize", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize", "kind": "class", "doc": "

    ffmpeg-normalize class.

    \n\n
    Arguments:
    \n\n
      \n
    • normalization_type (str, optional): Normalization type. Defaults to \"ebu\".
      • \n
    • target_level (float, optional): Target level. Defaults to -23.0.
      • \n
    • print_stats (bool, optional): Print loudnorm stats. Defaults to False.
      • \n
    • loudness_range_target (float, optional): Loudness range target. Defaults to 7.0.
      • \n
    • keep_loudness_range_target (bool, optional): Keep loudness range target. Defaults to False.
      • \n
    • keep_lra_above_loudness_range_target (bool, optional): Keep input loudness range above loudness range target. Defaults to False.
      • \n
    • true_peak (float, optional): True peak. Defaults to -2.0.
      • \n
    • offset (float, optional): Offset. Defaults to 0.0.
      • \n
    • dual_mono (bool, optional): Dual mono. Defaults to False.
      • \n
    • dynamic (bool, optional): Dynamic. Defaults to False.
      • \n
    • audio_codec (str, optional): Audio codec. Defaults to \"pcm_s16le\".
      • \n
    • audio_bitrate (float, optional): Audio bitrate. Defaults to None.
      • \n
    • sample_rate (int, optional): Sample rate. Defaults to None.
      • \n
    • keep_original_audio (bool, optional): Keep original audio. Defaults to False.
      • \n
    • pre_filter (str, optional): Pre filter. Defaults to None.
      • \n
    • post_filter (str, optional): Post filter. Defaults to None.
      • \n
    • video_codec (str, optional): Video codec. Defaults to \"copy\".
      • \n
    • video_disable (bool, optional): Disable video. Defaults to False.
      • \n
    • subtitle_disable (bool, optional): Disable subtitles. Defaults to False.
      • \n
    • metadata_disable (bool, optional): Disable metadata. Defaults to False.
      • \n
    • chapters_disable (bool, optional): Disable chapters. Defaults to False.
      • \n
    • extra_input_options (list, optional): Extra input options. Defaults to None.
      • \n
    • extra_output_options (list, optional): Extra output options. Defaults to None.
      • \n
    • output_format (str, optional): Output format. Defaults to None.
      • \n
    • dry_run (bool, optional): Dry run. Defaults to False.
      • \n
    • debug (bool, optional): Debug. Defaults to False.
      • \n
    • progress (bool, optional): Progress. Defaults to False.
      • \n
    \n\n
    Raises:
    \n\n
      \n
    • FFmpegNormalizeError: If the ffmpeg executable is not found or does not support the loudnorm filter.
      • \n
    \n"}, "ffmpeg_normalize.FFmpegNormalize.__init__": {"fullname": "ffmpeg_normalize.FFmpegNormalize.__init__", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.__init__", "kind": "function", "doc": "

    \n", "signature": "(\tnormalization_type: Literal['ebu', 'rms', 'peak'] = 'ebu',\ttarget_level: float = -23.0,\tprint_stats: bool = False,\tloudness_range_target: float = 7.0,\tkeep_loudness_range_target: bool = False,\tkeep_lra_above_loudness_range_target: bool = False,\ttrue_peak: float = -2.0,\toffset: float = 0.0,\tdual_mono: bool = False,\tdynamic: bool = False,\taudio_codec: str = 'pcm_s16le',\taudio_bitrate: float | None = None,\tsample_rate: float | int | None = None,\tkeep_original_audio: bool = False,\tpre_filter: str | None = None,\tpost_filter: str | None = None,\tvideo_codec: str = 'copy',\tvideo_disable: bool = False,\tsubtitle_disable: bool = False,\tmetadata_disable: bool = False,\tchapters_disable: bool = False,\textra_input_options: list[str] | None = None,\textra_output_options: list[str] | None = None,\toutput_format: str | None = None,\tdry_run: bool = False,\tdebug: bool = False,\tprogress: bool = False)"}, "ffmpeg_normalize.FFmpegNormalize.ffmpeg_exe": {"fullname": "ffmpeg_normalize.FFmpegNormalize.ffmpeg_exe", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.ffmpeg_exe", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.has_loudnorm_capabilities": {"fullname": "ffmpeg_normalize.FFmpegNormalize.has_loudnorm_capabilities", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.has_loudnorm_capabilities", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.normalization_type": {"fullname": "ffmpeg_normalize.FFmpegNormalize.normalization_type", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.normalization_type", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.print_stats": {"fullname": "ffmpeg_normalize.FFmpegNormalize.print_stats", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.print_stats", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.loudness_range_target": {"fullname": "ffmpeg_normalize.FFmpegNormalize.loudness_range_target", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.loudness_range_target", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.keep_loudness_range_target": {"fullname": "ffmpeg_normalize.FFmpegNormalize.keep_loudness_range_target", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.keep_loudness_range_target", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.keep_lra_above_loudness_range_target": {"fullname": "ffmpeg_normalize.FFmpegNormalize.keep_lra_above_loudness_range_target", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.keep_lra_above_loudness_range_target", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.true_peak": {"fullname": "ffmpeg_normalize.FFmpegNormalize.true_peak", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.true_peak", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.offset": {"fullname": "ffmpeg_normalize.FFmpegNormalize.offset", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.offset", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.dual_mono": {"fullname": "ffmpeg_normalize.FFmpegNormalize.dual_mono", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.dual_mono", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.dynamic": {"fullname": "ffmpeg_normalize.FFmpegNormalize.dynamic", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.dynamic", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.sample_rate": {"fullname": "ffmpeg_normalize.FFmpegNormalize.sample_rate", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.sample_rate", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.audio_codec": {"fullname": "ffmpeg_normalize.FFmpegNormalize.audio_codec", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.audio_codec", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.audio_bitrate": {"fullname": "ffmpeg_normalize.FFmpegNormalize.audio_bitrate", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.audio_bitrate", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.keep_original_audio": {"fullname": "ffmpeg_normalize.FFmpegNormalize.keep_original_audio", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.keep_original_audio", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.video_codec": {"fullname": "ffmpeg_normalize.FFmpegNormalize.video_codec", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.video_codec", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.video_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.video_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.video_disable", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.subtitle_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.subtitle_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.subtitle_disable", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.metadata_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.metadata_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.metadata_disable", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.chapters_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.chapters_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.chapters_disable", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.extra_input_options": {"fullname": "ffmpeg_normalize.FFmpegNormalize.extra_input_options", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.extra_input_options", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.extra_output_options": {"fullname": "ffmpeg_normalize.FFmpegNormalize.extra_output_options", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.extra_output_options", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.pre_filter": {"fullname": "ffmpeg_normalize.FFmpegNormalize.pre_filter", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.pre_filter", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.post_filter": {"fullname": "ffmpeg_normalize.FFmpegNormalize.post_filter", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.post_filter", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.output_format": {"fullname": "ffmpeg_normalize.FFmpegNormalize.output_format", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.output_format", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.dry_run": {"fullname": "ffmpeg_normalize.FFmpegNormalize.dry_run", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.dry_run", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.debug": {"fullname": "ffmpeg_normalize.FFmpegNormalize.debug", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.debug", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.progress": {"fullname": "ffmpeg_normalize.FFmpegNormalize.progress", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.progress", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.stats": {"fullname": "ffmpeg_normalize.FFmpegNormalize.stats", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.stats", "kind": "variable", "doc": "

    \n", "annotation": ": list[ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata]"}, "ffmpeg_normalize.FFmpegNormalize.media_files": {"fullname": "ffmpeg_normalize.FFmpegNormalize.media_files", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.media_files", "kind": "variable", "doc": "

    \n", "annotation": ": list[ffmpeg_normalize._media_file.MediaFile]"}, "ffmpeg_normalize.FFmpegNormalize.file_count": {"fullname": "ffmpeg_normalize.FFmpegNormalize.file_count", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.file_count", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.add_media_file": {"fullname": "ffmpeg_normalize.FFmpegNormalize.add_media_file", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.add_media_file", "kind": "function", "doc": "

    Add a media file to normalize

    \n\n
    Arguments:
    \n\n
      \n
    • input_file (str): Path to input file
      • \n
    • output_file (str): Path to output file
      • \n
    \n", "signature": "(self, input_file: str, output_file: str) -> None:", "funcdef": "def"}, "ffmpeg_normalize.FFmpegNormalize.run_normalization": {"fullname": "ffmpeg_normalize.FFmpegNormalize.run_normalization", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.run_normalization", "kind": "function", "doc": "

    Run the normalization procedures

    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.FFmpegNormalizeError": {"fullname": "ffmpeg_normalize.FFmpegNormalizeError", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalizeError", "kind": "class", "doc": "

    Common base class for all non-exit exceptions.

    \n", "bases": "builtins.Exception"}, "ffmpeg_normalize.MediaFile": {"fullname": "ffmpeg_normalize.MediaFile", "modulename": "ffmpeg_normalize", "qualname": "MediaFile", "kind": "class", "doc": "

    Class that holds a file, its streams and adjustments

    \n"}, "ffmpeg_normalize.MediaFile.__init__": {"fullname": "ffmpeg_normalize.MediaFile.__init__", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.__init__", "kind": "function", "doc": "

    Initialize a media file for later normalization by parsing the streams.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): reference to overall settings
      • \n
    • input_file (str): Path to input file
      • \n
    • output_file (str): Path to output file
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tinput_file: str,\toutput_file: str)"}, "ffmpeg_normalize.MediaFile.ffmpeg_normalize": {"fullname": "ffmpeg_normalize.MediaFile.ffmpeg_normalize", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.ffmpeg_normalize", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.skip": {"fullname": "ffmpeg_normalize.MediaFile.skip", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.skip", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.input_file": {"fullname": "ffmpeg_normalize.MediaFile.input_file", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.input_file", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.output_file": {"fullname": "ffmpeg_normalize.MediaFile.output_file", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.output_file", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.output_ext": {"fullname": "ffmpeg_normalize.MediaFile.output_ext", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.output_ext", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.streams": {"fullname": "ffmpeg_normalize.MediaFile.streams", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.streams", "kind": "variable", "doc": "

    \n", "annotation": ": ffmpeg_normalize._media_file.StreamDict"}, "ffmpeg_normalize.MediaFile.parse_streams": {"fullname": "ffmpeg_normalize.MediaFile.parse_streams", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.parse_streams", "kind": "function", "doc": "

    Try to parse all input streams from file and set them in self.streams.

    \n\n
    Raises:
    \n\n
      \n
    • FFmpegNormalizeError: If no audio streams are found
      • \n
    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.MediaFile.run_normalization": {"fullname": "ffmpeg_normalize.MediaFile.run_normalization", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.run_normalization", "kind": "function", "doc": "

    Run the normalization process for this file.

    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream": {"fullname": "ffmpeg_normalize.AudioStream", "modulename": "ffmpeg_normalize", "qualname": "AudioStream", "kind": "class", "doc": "

    \n", "bases": "ffmpeg_normalize._streams.MediaStream"}, "ffmpeg_normalize.AudioStream.__init__": {"fullname": "ffmpeg_normalize.AudioStream.__init__", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.__init__", "kind": "function", "doc": "

    Create an AudioStream object.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): The FFmpegNormalize object.
      • \n
    • media_file (MediaFile): The MediaFile object.
      • \n
    • stream_id (int): The stream ID.
      • \n
    • sample_rate (int): sample rate in Hz
      • \n
    • bit_depth (int): bit depth in bits
      • \n
    • duration (float): duration in seconds
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int,\tsample_rate: int | None,\tbit_depth: int | None,\tduration: float | None)"}, "ffmpeg_normalize.AudioStream.loudness_statistics": {"fullname": "ffmpeg_normalize.AudioStream.loudness_statistics", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.loudness_statistics", "kind": "variable", "doc": "

    \n", "annotation": ": ffmpeg_normalize._streams.LoudnessStatistics"}, "ffmpeg_normalize.AudioStream.sample_rate": {"fullname": "ffmpeg_normalize.AudioStream.sample_rate", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.sample_rate", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.AudioStream.bit_depth": {"fullname": "ffmpeg_normalize.AudioStream.bit_depth", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.bit_depth", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.AudioStream.duration": {"fullname": "ffmpeg_normalize.AudioStream.duration", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.duration", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.AudioStream.get_stats": {"fullname": "ffmpeg_normalize.AudioStream.get_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_stats", "kind": "function", "doc": "

    Return loudness statistics for the stream.

    \n\n
    Returns:
    \n\n
    \n

    dict: A dictionary containing the loudness statistics.

    \n
    \n", "signature": "(self) -> ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.set_second_pass_stats": {"fullname": "ffmpeg_normalize.AudioStream.set_second_pass_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.set_second_pass_stats", "kind": "function", "doc": "

    Set the EBU loudness statistics for the second pass.

    \n\n
    Arguments:
    \n\n
      \n
    • stats (dict): The EBU loudness statistics.
      • \n
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    Get the PCM codec string for the stream.

    \n\n
    Returns:
    \n\n
    \n

    str: The PCM codec string.

    \n
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    Use ffmpeg with astats filter to get the mean (RMS) and max (peak) volume of the input file.

    \n\n
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    \n\n
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    float: The progress of the command.

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    Run a first pass loudnorm filter to get measured data.

    \n\n
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    \n\n
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    float: The progress of the command.

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    Prune ffmpeg progress lines from output and parse the loudnorm filter output.\nThere may be multiple outputs if multiple streams were processed.

    \n\n
    Arguments:
    \n\n
      \n
    • output (str): The output from ffmpeg.
      • \n
    • num_stats (int): The number of loudnorm statistics to parse.
      • \n
    \n\n
    Returns:
    \n\n
    \n

    list: The EBU loudness statistics.

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    Set the adjustment gain based on chosen option and mean/max volume,\nreturn the matching ffmpeg volume filter.

    \n\n
    Returns:
    \n\n
    \n

    str: ffmpeg volume filter string

    \n
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    Create a MediaStream object.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): The FFmpegNormalize object.
      • \n
    • media_file (MediaFile): The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]): The type of the stream.
      • \n
    • stream_id (int): The stream ID.
      • \n
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    Create a MediaStream object.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): The FFmpegNormalize object.
      • \n
    • media_file (MediaFile): The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]): The type of the stream.
      • \n
    • stream_id (int): The stream ID.
      • \n
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    Create a MediaStream object.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): The FFmpegNormalize object.
      • \n
    • media_file (MediaFile): The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]): The type of the stream.
      • \n
    • stream_id (int): The stream ID.
      • \n
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    ffmpeg-normalize class.

    \n\n
    Arguments:
    \n\n
      \n
    • normalization_type (str, optional): Normalization type. Defaults to \"ebu\".
      • \n
    • target_level (float, optional): Target level. Defaults to -23.0.
      • \n
    • print_stats (bool, optional): Print loudnorm stats. Defaults to False.
      • \n
    • loudness_range_target (float, optional): Loudness range target. Defaults to 7.0.
      • \n
    • keep_loudness_range_target (bool, optional): Keep loudness range target. Defaults to False.
      • \n
    • keep_lra_above_loudness_range_target (bool, optional): Keep input loudness range above loudness range target. Defaults to False.
      • \n
    • true_peak (float, optional): True peak. Defaults to -2.0.
      • \n
    • offset (float, optional): Offset. Defaults to 0.0.
      • \n
    • dual_mono (bool, optional): Dual mono. Defaults to False.
      • \n
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      • \n
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      • \n
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      • \n
    • sample_rate (int, optional): Sample rate. Defaults to None.
      • \n
    • audio_channels (int | None, optional): Audio channels. Defaults to None.
      • \n
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      • \n
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      • \n
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      • \n
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      • \n
    • subtitle_disable (bool, optional): Disable subtitles. Defaults to False.
      • \n
    • metadata_disable (bool, optional): Disable metadata. Defaults to False.
      • \n
    • chapters_disable (bool, optional): Disable chapters. Defaults to False.
      • \n
    • extra_input_options (list, optional): Extra input options. Defaults to None.
      • \n
    • extra_output_options (list, optional): Extra output options. Defaults to None.
      • \n
    • output_format (str, optional): Output format. Defaults to None.
      • \n
    • dry_run (bool, optional): Dry run. Defaults to False.
      • \n
    • debug (bool, optional): Debug. Defaults to False.
      • \n
    • progress (bool, optional): Progress. Defaults to False.
      • \n
    \n\n
    Raises:
    \n\n
      \n
    • FFmpegNormalizeError: If the ffmpeg executable is not found or does not support the loudnorm filter.
      • \n
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    \n"}, "ffmpeg_normalize.FFmpegNormalize.audio_codec": {"fullname": "ffmpeg_normalize.FFmpegNormalize.audio_codec", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.audio_codec", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.audio_bitrate": {"fullname": "ffmpeg_normalize.FFmpegNormalize.audio_bitrate", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.audio_bitrate", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.keep_original_audio": {"fullname": "ffmpeg_normalize.FFmpegNormalize.keep_original_audio", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.keep_original_audio", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.video_codec": {"fullname": "ffmpeg_normalize.FFmpegNormalize.video_codec", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.video_codec", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.video_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.video_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.video_disable", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.subtitle_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.subtitle_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.subtitle_disable", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.metadata_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.metadata_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.metadata_disable", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.chapters_disable": {"fullname": "ffmpeg_normalize.FFmpegNormalize.chapters_disable", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.chapters_disable", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.extra_input_options": {"fullname": "ffmpeg_normalize.FFmpegNormalize.extra_input_options", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.extra_input_options", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.extra_output_options": {"fullname": "ffmpeg_normalize.FFmpegNormalize.extra_output_options", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.extra_output_options", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.pre_filter": {"fullname": "ffmpeg_normalize.FFmpegNormalize.pre_filter", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.pre_filter", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.post_filter": {"fullname": "ffmpeg_normalize.FFmpegNormalize.post_filter", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.post_filter", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.output_format": {"fullname": "ffmpeg_normalize.FFmpegNormalize.output_format", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.output_format", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.dry_run": {"fullname": "ffmpeg_normalize.FFmpegNormalize.dry_run", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.dry_run", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.debug": {"fullname": "ffmpeg_normalize.FFmpegNormalize.debug", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.debug", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.progress": {"fullname": "ffmpeg_normalize.FFmpegNormalize.progress", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.progress", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.stats": {"fullname": "ffmpeg_normalize.FFmpegNormalize.stats", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.stats", "kind": "variable", "doc": "

    \n", "annotation": ": list[ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata]"}, "ffmpeg_normalize.FFmpegNormalize.media_files": {"fullname": "ffmpeg_normalize.FFmpegNormalize.media_files", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.media_files", "kind": "variable", "doc": "

    \n", "annotation": ": list[ffmpeg_normalize._media_file.MediaFile]"}, "ffmpeg_normalize.FFmpegNormalize.file_count": {"fullname": "ffmpeg_normalize.FFmpegNormalize.file_count", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.file_count", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.FFmpegNormalize.add_media_file": {"fullname": "ffmpeg_normalize.FFmpegNormalize.add_media_file", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.add_media_file", "kind": "function", "doc": "

    Add a media file to normalize

    \n\n
    Arguments:
    \n\n
      \n
    • input_file (str): Path to input file
      • \n
    • output_file (str): Path to output file
      • \n
    \n", "signature": "(self, input_file: str, output_file: str) -> None:", "funcdef": "def"}, "ffmpeg_normalize.FFmpegNormalize.run_normalization": {"fullname": "ffmpeg_normalize.FFmpegNormalize.run_normalization", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalize.run_normalization", "kind": "function", "doc": "

    Run the normalization procedures

    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.FFmpegNormalizeError": {"fullname": "ffmpeg_normalize.FFmpegNormalizeError", "modulename": "ffmpeg_normalize", "qualname": "FFmpegNormalizeError", "kind": "class", "doc": "

    Common base class for all non-exit exceptions.

    \n", "bases": "builtins.Exception"}, "ffmpeg_normalize.MediaFile": {"fullname": "ffmpeg_normalize.MediaFile", "modulename": "ffmpeg_normalize", "qualname": "MediaFile", "kind": "class", "doc": "

    Class that holds a file, its streams and adjustments

    \n"}, "ffmpeg_normalize.MediaFile.__init__": {"fullname": "ffmpeg_normalize.MediaFile.__init__", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.__init__", "kind": "function", "doc": "

    Initialize a media file for later normalization by parsing the streams.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): reference to overall settings
      • \n
    • input_file (str): Path to input file
      • \n
    • output_file (str): Path to output file
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tinput_file: str,\toutput_file: str)"}, "ffmpeg_normalize.MediaFile.ffmpeg_normalize": {"fullname": "ffmpeg_normalize.MediaFile.ffmpeg_normalize", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.ffmpeg_normalize", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.skip": {"fullname": "ffmpeg_normalize.MediaFile.skip", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.skip", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.input_file": {"fullname": "ffmpeg_normalize.MediaFile.input_file", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.input_file", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.output_file": {"fullname": "ffmpeg_normalize.MediaFile.output_file", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.output_file", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.output_ext": {"fullname": "ffmpeg_normalize.MediaFile.output_ext", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.output_ext", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaFile.streams": {"fullname": "ffmpeg_normalize.MediaFile.streams", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.streams", "kind": "variable", "doc": "

    \n", "annotation": ": ffmpeg_normalize._media_file.StreamDict"}, "ffmpeg_normalize.MediaFile.parse_streams": {"fullname": "ffmpeg_normalize.MediaFile.parse_streams", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.parse_streams", "kind": "function", "doc": "

    Try to parse all input streams from file and set them in self.streams.

    \n\n
    Raises:
    \n\n
      \n
    • FFmpegNormalizeError: If no audio streams are found
      • \n
    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.MediaFile.run_normalization": {"fullname": "ffmpeg_normalize.MediaFile.run_normalization", "modulename": "ffmpeg_normalize", "qualname": "MediaFile.run_normalization", "kind": "function", "doc": "

    Run the normalization process for this file.

    \n", "signature": "(self) -> None:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream": {"fullname": "ffmpeg_normalize.AudioStream", "modulename": "ffmpeg_normalize", "qualname": "AudioStream", "kind": "class", "doc": "

    \n", "bases": "ffmpeg_normalize._streams.MediaStream"}, "ffmpeg_normalize.AudioStream.__init__": {"fullname": "ffmpeg_normalize.AudioStream.__init__", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.__init__", "kind": "function", "doc": "

    Create an AudioStream object.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): The FFmpegNormalize object.
      • \n
    • media_file (MediaFile): The MediaFile object.
      • \n
    • stream_id (int): The stream ID.
      • \n
    • sample_rate (int): sample rate in Hz
      • \n
    • bit_depth (int): bit depth in bits
      • \n
    • duration (float): duration in seconds
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int,\tsample_rate: int | None,\tbit_depth: int | None,\tduration: float | None)"}, "ffmpeg_normalize.AudioStream.loudness_statistics": {"fullname": "ffmpeg_normalize.AudioStream.loudness_statistics", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.loudness_statistics", "kind": "variable", "doc": "

    \n", "annotation": ": ffmpeg_normalize._streams.LoudnessStatistics"}, "ffmpeg_normalize.AudioStream.sample_rate": {"fullname": "ffmpeg_normalize.AudioStream.sample_rate", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.sample_rate", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.AudioStream.bit_depth": {"fullname": "ffmpeg_normalize.AudioStream.bit_depth", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.bit_depth", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.AudioStream.duration": {"fullname": "ffmpeg_normalize.AudioStream.duration", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.duration", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.AudioStream.get_stats": {"fullname": "ffmpeg_normalize.AudioStream.get_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_stats", "kind": "function", "doc": "

    Return loudness statistics for the stream.

    \n\n
    Returns:
    \n\n
    \n

    dict: A dictionary containing the loudness statistics.

    \n
    \n", "signature": "(self) -> ffmpeg_normalize._streams.LoudnessStatisticsWithMetadata:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.set_second_pass_stats": {"fullname": "ffmpeg_normalize.AudioStream.set_second_pass_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.set_second_pass_stats", "kind": "function", "doc": "

    Set the EBU loudness statistics for the second pass.

    \n\n
    Arguments:
    \n\n
      \n
    • stats (dict): The EBU loudness statistics.
      • \n
    \n", "signature": "(self, stats: ffmpeg_normalize._streams.EbuLoudnessStatistics):", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_pcm_codec": {"fullname": "ffmpeg_normalize.AudioStream.get_pcm_codec", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_pcm_codec", "kind": "function", "doc": "

    Get the PCM codec string for the stream.

    \n\n
    Returns:
    \n\n
    \n

    str: The PCM codec string.

    \n
    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.parse_astats": {"fullname": "ffmpeg_normalize.AudioStream.parse_astats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.parse_astats", "kind": "function", "doc": "

    Use ffmpeg with astats filter to get the mean (RMS) and max (peak) volume of the input file.

    \n\n
    Yields:
    \n\n
    \n

    float: The progress of the command.

    \n
    \n", "signature": "(self) -> Iterator[float]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.parse_loudnorm_stats": {"fullname": "ffmpeg_normalize.AudioStream.parse_loudnorm_stats", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.parse_loudnorm_stats", "kind": "function", "doc": "

    Run a first pass loudnorm filter to get measured data.

    \n\n
    Yields:
    \n\n
    \n

    float: The progress of the command.

    \n
    \n", "signature": "(self) -> Iterator[float]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.prune_and_parse_loudnorm_output": {"fullname": "ffmpeg_normalize.AudioStream.prune_and_parse_loudnorm_output", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.prune_and_parse_loudnorm_output", "kind": "function", "doc": "

    Prune ffmpeg progress lines from output and parse the loudnorm filter output.\nThere may be multiple outputs if multiple streams were processed.

    \n\n
    Arguments:
    \n\n
      \n
    • output (str): The output from ffmpeg.
      • \n
    • num_stats (int): The number of loudnorm statistics to parse.
      • \n
    \n\n
    Returns:
    \n\n
    \n

    list: The EBU loudness statistics.

    \n
    \n", "signature": "(\toutput: str,\tnum_stats: int = 1) -> List[ffmpeg_normalize._streams.EbuLoudnessStatistics]:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_second_pass_opts_ebu": {"fullname": "ffmpeg_normalize.AudioStream.get_second_pass_opts_ebu", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_second_pass_opts_ebu", "kind": "function", "doc": "

    Return second pass loudnorm filter options string for ffmpeg

    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.AudioStream.get_second_pass_opts_peakrms": {"fullname": "ffmpeg_normalize.AudioStream.get_second_pass_opts_peakrms", "modulename": "ffmpeg_normalize", "qualname": "AudioStream.get_second_pass_opts_peakrms", "kind": "function", "doc": "

    Set the adjustment gain based on chosen option and mean/max volume,\nreturn the matching ffmpeg volume filter.

    \n\n
    Returns:
    \n\n
    \n

    str: ffmpeg volume filter string

    \n
    \n", "signature": "(self) -> str:", "funcdef": "def"}, "ffmpeg_normalize.VideoStream": {"fullname": "ffmpeg_normalize.VideoStream", "modulename": "ffmpeg_normalize", "qualname": "VideoStream", "kind": "class", "doc": "

    \n", "bases": "ffmpeg_normalize._streams.MediaStream"}, "ffmpeg_normalize.VideoStream.__init__": {"fullname": "ffmpeg_normalize.VideoStream.__init__", "modulename": "ffmpeg_normalize", "qualname": "VideoStream.__init__", "kind": "function", "doc": "

    Create a MediaStream object.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): The FFmpegNormalize object.
      • \n
    • media_file (MediaFile): The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]): The type of the stream.
      • \n
    • stream_id (int): The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int)"}, "ffmpeg_normalize.SubtitleStream": {"fullname": "ffmpeg_normalize.SubtitleStream", "modulename": "ffmpeg_normalize", "qualname": "SubtitleStream", "kind": "class", "doc": "

    \n", "bases": "ffmpeg_normalize._streams.MediaStream"}, "ffmpeg_normalize.SubtitleStream.__init__": {"fullname": "ffmpeg_normalize.SubtitleStream.__init__", "modulename": "ffmpeg_normalize", "qualname": "SubtitleStream.__init__", "kind": "function", "doc": "

    Create a MediaStream object.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): The FFmpegNormalize object.
      • \n
    • media_file (MediaFile): The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]): The type of the stream.
      • \n
    • stream_id (int): The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_id: int)"}, "ffmpeg_normalize.MediaStream": {"fullname": "ffmpeg_normalize.MediaStream", "modulename": "ffmpeg_normalize", "qualname": "MediaStream", "kind": "class", "doc": "

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    Create a MediaStream object.

    \n\n
    Arguments:
    \n\n
      \n
    • ffmpeg_normalize (FFmpegNormalize): The FFmpegNormalize object.
      • \n
    • media_file (MediaFile): The MediaFile object.
      • \n
    • stream_type (Literal[\"audio\", \"video\", \"subtitle\"]): The type of the stream.
      • \n
    • stream_id (int): The stream ID.
      • \n
    \n", "signature": "(\tffmpeg_normalize: ffmpeg_normalize._ffmpeg_normalize.FFmpegNormalize,\tmedia_file: ffmpeg_normalize._media_file.MediaFile,\tstream_type: Literal['audio', 'video', 'subtitle'],\tstream_id: int)"}, "ffmpeg_normalize.MediaStream.ffmpeg_normalize": {"fullname": "ffmpeg_normalize.MediaStream.ffmpeg_normalize", "modulename": "ffmpeg_normalize", "qualname": "MediaStream.ffmpeg_normalize", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaStream.media_file": {"fullname": "ffmpeg_normalize.MediaStream.media_file", "modulename": "ffmpeg_normalize", "qualname": "MediaStream.media_file", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaStream.stream_type": {"fullname": "ffmpeg_normalize.MediaStream.stream_type", "modulename": "ffmpeg_normalize", "qualname": "MediaStream.stream_type", "kind": "variable", "doc": "

    \n"}, "ffmpeg_normalize.MediaStream.stream_id": {"fullname": "ffmpeg_normalize.MediaStream.stream_id", "modulename": "ffmpeg_normalize", "qualname": "MediaStream.stream_id", "kind": "variable", "doc": "

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