├── .gitignore ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── audio_io ├── __init__.py ├── audio_io.py └── cue │ ├── __init__.py │ └── cue_parser.py ├── audio_metrics ├── __init__.py └── audio_metrics.py ├── main.py ├── requirements.txt ├── setup.py └── util ├── __init__.py ├── constants.py └── natural_sort.py /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | env/ 12 | build/ 13 | develop-eggs/ 14 | dist/ 15 | downloads/ 16 | eggs/ 17 | .eggs/ 18 | lib/ 19 | lib64/ 20 | parts/ 21 | sdist/ 22 | var/ 23 | *.egg-info/ 24 | .installed.cfg 25 | *.egg 26 | 27 | # PyInstaller 28 | # Usually these files are written by a python script from a template 29 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 30 | *.manifest 31 | *.spec 32 | 33 | # Installer logs 34 | pip-log.txt 35 | pip-delete-this-directory.txt 36 | 37 | # Unit test / coverage reports 38 | htmlcov/ 39 | .tox/ 40 | .coverage 41 | .coverage.* 42 | .cache 43 | nosetests.xml 44 | coverage.xml 45 | *,cover 46 | .hypothesis/ 47 | 48 | # Translations 49 | *.mo 50 | *.pot 51 | 52 | # Django stuff: 53 | *.log 54 | local_settings.py 55 | 56 | # Flask stuff: 57 | instance/ 58 | .webassets-cache 59 | 60 | # Scrapy stuff: 61 | .scrapy 62 | 63 | # Sphinx documentation 64 | docs/_build/ 65 | 66 | # PyBuilder 67 | target/ 68 | 69 | # IPython Notebook 70 | .ipynb_checkpoints 71 | 72 | # pyenv 73 | .python-version 74 | 75 | # celery beat schedule file 76 | celerybeat-schedule 77 | 78 | # dotenv 79 | .env 80 | 81 | # virtualenv 82 | venv/ 83 | ENV/ 84 | 85 | # Spyder project settings 86 | .spyderproject 87 | 88 | # Rope project settings 89 | .ropeproject 90 | /.idea/ 91 | -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | * Make sure that GPLv3 is fine for your work 2 | * If doing something big, it's better to discuss before starting 3 | * It's better to not add new dependencies 4 | * Python 2.x support is not a goal here 5 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | {one line to give the program's name and a brief idea of what it does.} 635 | Copyright (C) {year} {name of author} 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | {project} Copyright (C) {year} {fullname} 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # simple_dr_meter 2 | This is a fully compliant Dynamic Range meter. It computes DR at defined by http://dr.loudness-war.info/ and generates logs with all the proper formatting. 3 | 4 | ## Prerequisites: 5 | 6 | * `ffmpeg` and `ffprobe` are on your PATH 7 | * CPython 3.6+ (I don't think I am using anything specific to CPython, but I only test it on CPython) 8 | * Python packages from PyPI, listed in `requirements.txt` — can be installed with a command like `pip3 install -r requirements.txt` 9 | 10 | ## How to use: 11 | 12 | $ main.py 13 | 14 | where `` is one of: 15 | * a directory with audio files 16 | * a CUE sheet (.cue file) 17 | * a single audio file 18 | 19 | An audio file may also contain an embedded cuesheet, it will be used if found. 20 | 21 | It will generate `dr.txt` with the proper DR log inside the target folder (or next to the input file), and show something in the stdout while working. That's it. 22 | 23 | ## Some extra words: 24 | 25 | The work was initially based on https://github.com/simon-r/dr14_t.meter and it would be quite a tough start should I not take a look at it, but almost everything was rewritten since then. 26 | 27 | The main differences from dr14_t.meter are: 28 | 29 | * it can read ANY audio file with any number of channels, because all the complexity of decoding and reading tags is delegated to ffmpeg/ffprobe 30 | * supports CUE sheets as input! 31 | * audio file size is practically unlimited, because audio data isn't fully loaded into RAM 32 | * faster processing, even faster than the official foobar2000 plugin. 33 | 34 | on the other hand, it doesn't have any extra fancy features like graphs, etc. mainly because I don't need it, feel free to do pull requests anyway. 35 | 36 | So, basically it's a simple and practically complete implementation of DR measurement, made to make it easier to spread the knowledge and take a stand against the Loudness War™. 37 | 38 | ## TODO: 39 | 40 | * Release it on PyPI! I have no experience with that but I should probably learn how to do this. -------------------------------------------------------------------------------- /audio_io/__init__.py: -------------------------------------------------------------------------------- 1 | from audio_io.audio_io import * 2 | -------------------------------------------------------------------------------- /audio_io/audio_io.py: -------------------------------------------------------------------------------- 1 | import itertools 2 | import json 3 | import os 4 | import subprocess as sp 5 | import sys 6 | from enum import Enum, auto 7 | from numbers import Number 8 | from os import path 9 | from subprocess import DEVNULL, PIPE 10 | from typing import NamedTuple, Iterator, Iterable, List, Optional, Sequence 11 | 12 | import numpy as np 13 | 14 | from audio_io.cue.cue_parser import CueCmd, parse_cue_str, read_cue_from_file 15 | from util.natural_sort import natural_sort_key 16 | 17 | ex_ffprobe = 'ffprobe' 18 | ex_ffmpeg = 'ffmpeg' 19 | 20 | known_audio_extensions = { 21 | 'aac', 22 | 'ac3', 23 | 'aif', 24 | 'aiff', 25 | 'ape', 26 | 'dts', 27 | 'flac', 28 | 'm4a', 29 | 'mka', 30 | 'mp2', 31 | 'mp3', 32 | 'mpc', 33 | 'ofr', 34 | 'ogg', 35 | 'opus', 36 | 'tak', 37 | 'tta', 38 | 'wav', 39 | 'wv', 40 | } 41 | 42 | 43 | class FileKind(Enum): 44 | CUE = auto() 45 | FOLDER = auto() 46 | AUDIO = auto() 47 | 48 | 49 | class TagKey(str, Enum): 50 | TITLE = 'TITLE' 51 | ALBUM = 'ALBUM' 52 | ARTIST = 'ARTIST' 53 | PERFORMER = 'PERFORMER' 54 | CUESHEET = 'CUESHEET' 55 | 56 | 57 | _tag_alternatives = { 58 | TagKey.PERFORMER: (TagKey.ARTIST,), 59 | TagKey.ARTIST: (TagKey.PERFORMER,), 60 | } 61 | 62 | 63 | def get_tag_with_alternatives(tags: dict, tag_key: TagKey) -> Optional[str]: 64 | exact_match = tags.get(tag_key) 65 | if exact_match: 66 | return exact_match 67 | for alt_key in _tag_alternatives.get(tag_key, ()): 68 | v = tags.get(alt_key) 69 | if v: 70 | return v 71 | return None 72 | 73 | 74 | def get_file_kind(in_path: str) -> FileKind: 75 | if os.path.isdir(in_path): 76 | return FileKind.FOLDER 77 | _, ext = path.splitext(in_path) 78 | if '.cue' == ext.lower(): 79 | return FileKind.CUE 80 | return FileKind.AUDIO 81 | 82 | 83 | class TrackInfo(NamedTuple): 84 | global_index: int 85 | offset_seconds: Number 86 | tags: dict 87 | 88 | 89 | class AudioFileMetadata(NamedTuple): 90 | file_path: str 91 | channel_count: int 92 | sample_rate: int 93 | cuesheet: str or None 94 | tags: dict 95 | 96 | 97 | class AudioSourceInfo(NamedTuple): 98 | file_path: str 99 | channel_count: int 100 | sample_rate: int 101 | tags: dict 102 | tracks: List[TrackInfo] 103 | 104 | 105 | class AudioData(NamedTuple): 106 | source_info: AudioSourceInfo 107 | samples_per_block: int 108 | blocks_generator: Iterator[Iterator[np.ndarray]] 109 | 110 | 111 | def _translate_from_cue(cue_items, 112 | directory_path=None, 113 | parent_audio_file: AudioFileMetadata = None) -> Iterable[AudioSourceInfo]: 114 | global_track_counter = itertools.count(1) 115 | index_number = None 116 | index_offset_seconds = None 117 | last_file_path = None 118 | channel_count = None 119 | sample_rate = None 120 | 121 | track_start = False # if parser is between TRACK and INDEX commands 122 | global_tags = dict() 123 | track_tags = dict() 124 | 125 | def add_tag(key: TagKey, value: str, is_global: bool): 126 | if is_global: 127 | global_tags[key] = value 128 | if key not in track_tags: 129 | track_tags[key] = value 130 | else: 131 | track_tags[key] = value 132 | 133 | tracks = [] 134 | 135 | join = os.path.join 136 | 137 | for cmd, *args in cue_items: 138 | if cmd == CueCmd.TRACK or cmd == CueCmd.FILE or cmd == CueCmd.EOF: 139 | if index_number is not None: 140 | assert index_offset_seconds is not None 141 | # noinspection PyTypeChecker 142 | tracks.append(TrackInfo( 143 | global_index=next(global_track_counter), 144 | offset_seconds=index_offset_seconds, 145 | tags=track_tags 146 | )) 147 | track_tags = dict(global_tags) 148 | index_number = None 149 | if cmd == CueCmd.TRACK: 150 | track_start = True 151 | continue 152 | 153 | if cmd == CueCmd.FILE or cmd == CueCmd.EOF: 154 | if last_file_path: 155 | yield AudioSourceInfo( 156 | file_path=last_file_path, 157 | channel_count=channel_count, 158 | sample_rate=sample_rate, 159 | tracks=tracks, 160 | tags=global_tags) 161 | tracks = [] 162 | if cmd == CueCmd.EOF: 163 | return 164 | 165 | if directory_path: 166 | last_file_path = join(directory_path, args[0]) 167 | p = read_audio_file_metadata(last_file_path) 168 | channel_count, sample_rate = p.channel_count, p.sample_rate 169 | global_tags.update(p.tags) 170 | elif parent_audio_file: 171 | last_file_path = parent_audio_file.file_path 172 | channel_count = parent_audio_file.channel_count 173 | sample_rate = parent_audio_file.sample_rate 174 | global_tags.update(parent_audio_file.tags) 175 | else: 176 | raise ValueError 177 | elif cmd == CueCmd.TITLE: 178 | add_tag(TagKey.TITLE, args[0], is_global=not track_start) 179 | if not track_start: 180 | add_tag(TagKey.ALBUM, args[0], is_global=True) 181 | elif cmd == CueCmd.PERFORMER: 182 | add_tag(TagKey.PERFORMER, args[0], is_global=not track_start) 183 | elif cmd == CueCmd.INDEX: 184 | track_start = False 185 | number, offset = args 186 | 187 | if len(tracks): 188 | num_condition = lambda: index_number < number 189 | else: 190 | num_condition = lambda: index_number > number 191 | 192 | if (index_number is None) or (number <= 1 and num_condition()): 193 | index_number, index_offset_seconds = number, offset 194 | elif cmd == CueCmd.REM: 195 | add_tag(args[0], args[1], is_global=not track_start) 196 | else: 197 | raise NotImplementedError 198 | 199 | 200 | def _single_track_audio_source(p: AudioFileMetadata, track_index): 201 | track_info = TrackInfo(global_index=track_index, offset_seconds=0, tags=p.tags) 202 | return AudioSourceInfo( 203 | file_path=p.file_path, 204 | channel_count=p.channel_count, 205 | sample_rate=p.sample_rate, 206 | tags=p.tags, 207 | tracks=[track_info]) 208 | 209 | 210 | def _audio_source_from_file(in_path, track_index=1) -> AudioSourceInfo: 211 | p = read_audio_file_metadata(in_path) 212 | if not p.cuesheet: 213 | return _single_track_audio_source(p, track_index) 214 | cue_entries = parse_cue_str(p.cuesheet) 215 | return next(iter(_translate_from_cue(cue_entries, parent_audio_file=p))) 216 | 217 | 218 | def _audio_sources_from_folder(in_path) -> Iterable[AudioSourceInfo]: 219 | track_counter = itertools.count(1) 220 | for dirpath, dirnames, filenames in os.walk(in_path, topdown=True): 221 | filenames = sorted(filenames, key=natural_sort_key) 222 | for f in filenames: 223 | _, ext = path.splitext(f) 224 | ext = ext[1:].lower() 225 | if ext in known_audio_extensions: 226 | yield _audio_source_from_file(path.join(in_path, f), track_index=next(track_counter)) 227 | break 228 | 229 | 230 | def read_audio_info(in_path: str) -> Iterable[AudioSourceInfo]: 231 | """ 232 | if input file is a cue, it can reference multiple audio files with different sample rates. 233 | therefore the result is a sequence. 234 | """ 235 | kind = get_file_kind(in_path) 236 | if kind == FileKind.FOLDER: 237 | yield from _audio_sources_from_folder(in_path) 238 | elif kind == FileKind.CUE: 239 | cue_str = read_cue_from_file(in_path) 240 | yield from _translate_from_cue(parse_cue_str(cue_str), directory_path=os.path.dirname(in_path)) 241 | elif kind == FileKind.AUDIO: 242 | yield _audio_source_from_file(in_path) 243 | else: 244 | raise NotImplementedError 245 | 246 | 247 | def read_audio_data(audio_source: AudioSourceInfo, 248 | samples_per_block: int, 249 | ffmpeg_args: Sequence[str], 250 | bytes_per_sample_mono: int, 251 | numpy_sample_type: str, 252 | sample_rate: Optional[int] = None) -> AudioData: 253 | audio_blocks = _read_audio_blocks(audio_source, 254 | samples_per_block, 255 | ffmpeg_args, 256 | bytes_per_sample_mono, 257 | numpy_sample_type, 258 | sample_rate) 259 | return AudioData(audio_source, samples_per_block, audio_blocks) 260 | 261 | 262 | def _test_ffmpeg(): 263 | try: 264 | for n in (ex_ffmpeg, ex_ffprobe): 265 | sp.check_call((n, '-version'), stderr=DEVNULL, stdout=DEVNULL) 266 | except sp.CalledProcessError: 267 | sys.exit('ffmpeg not installed, broken or not on PATH') 268 | 269 | 270 | def _parse_audio_metadata(in_path: str, data_from_ffprobe: dict) -> AudioFileMetadata: 271 | def get(*keys, default_value=None): 272 | d = data_from_ffprobe 273 | for k in keys: 274 | try: 275 | d = d[k] 276 | except (KeyError, IndexError): 277 | return default_value 278 | return d 279 | 280 | tags = {key.upper(): val for key, val in get('format', 'tags', default_value={}).items()} 281 | return AudioFileMetadata( 282 | file_path=in_path, 283 | channel_count=int(get('streams', 0, 'channels')), 284 | sample_rate=int(get('streams', 0, 'sample_rate')), 285 | tags=tags, 286 | cuesheet=tags.get(TagKey.CUESHEET)) 287 | 288 | 289 | def read_audio_file_metadata(in_path) -> AudioFileMetadata: 290 | if not path.exists(in_path): 291 | raise ValueError(f'Path "{in_path}" doesn''t exist') 292 | 293 | p = sp.Popen( 294 | (ex_ffprobe, 295 | '-v', 'error', 296 | '-print_format', 'json', 297 | '-select_streams', 'a:0', 298 | '-show_entries', 'stream=channels,sample_rate', 299 | '-show_entries', 'format_tags', 300 | in_path), 301 | stdout=PIPE, stderr=PIPE) 302 | out, err = p.communicate() 303 | returncode = p.returncode 304 | if returncode != 0: 305 | raise Exception('ffprobe returned {}'.format(returncode)) 306 | audio_metadata = _parse_audio_metadata(in_path, json.loads(out)) 307 | assert audio_metadata.channel_count >= 1 308 | return audio_metadata 309 | 310 | 311 | def _read_audio_blocks(audio_source: AudioSourceInfo, 312 | samples_per_block: int, 313 | ffmpeg_args: Sequence[str], 314 | bytes_per_sample_mono: int, 315 | numpy_sample_type: str, 316 | sample_rate: Optional[int] = None) -> Iterator[Iterator[np.ndarray]]: 317 | bytes_per_sample = bytes_per_sample_mono * audio_source.channel_count 318 | max_bytes_per_block = bytes_per_sample * samples_per_block 319 | sample_rate = sample_rate or audio_source.sample_rate 320 | 321 | # noinspection PyTypeChecker 322 | def seconds_to_samples(seconds: Number): 323 | return int(sample_rate * seconds) 324 | 325 | # noinspection PyTypeChecker 326 | p = sp.Popen([ex_ffmpeg] + ffmpeg_args, stderr=None, stdout=PIPE) 327 | 328 | sample_type = np.dtype(numpy_sample_type) 329 | frombuffer = np.frombuffer 330 | reshape = np.reshape 331 | with p.stdout as f: 332 | skip_samples = seconds_to_samples(audio_source.tracks[0].offset_seconds) 333 | if skip_samples > 0: 334 | f.read(bytes_per_sample * skip_samples) 335 | 336 | def make_array(buffer, size): 337 | a = frombuffer(buffer, dtype=sample_type, count=size // bytes_per_sample_mono) 338 | a = reshape(a, (audio_source.channel_count, -1), order='F') 339 | return a 340 | 341 | def read_n_bytes(n): 342 | while (n is None) or (n >= max_bytes_per_block): 343 | b = f.read(max_bytes_per_block) 344 | read_size = len(b) 345 | if read_size > 0: 346 | yield make_array(b, read_size) 347 | if n: 348 | n -= read_size 349 | else: 350 | return 351 | if n: 352 | b = f.read(n) 353 | read_size = len(b) 354 | assert read_size == n 355 | yield make_array(b, read_size) 356 | 357 | track_count = len(audio_source.tracks) 358 | for ti in range(track_count): 359 | if track_count == ti + 1: 360 | bytes_to_read = None 361 | else: 362 | samples_to_read = seconds_to_samples(audio_source.tracks[ti + 1].offset_seconds) \ 363 | - seconds_to_samples(audio_source.tracks[ti].offset_seconds) 364 | bytes_to_read = samples_to_read * bytes_per_sample 365 | yield read_n_bytes(bytes_to_read) 366 | -------------------------------------------------------------------------------- /audio_io/cue/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/magicgoose/simple-dr-meter/e4757be8d7249f7c9d404542e20c559d017f32f4/audio_io/cue/__init__.py -------------------------------------------------------------------------------- /audio_io/cue/cue_parser.py: -------------------------------------------------------------------------------- 1 | import re 2 | from enum import Enum, auto 3 | from fractions import Fraction 4 | from io import BufferedIOBase 5 | from numbers import Number 6 | from typing import Iterable 7 | 8 | import chardet 9 | 10 | 11 | class CueCmd(Enum): 12 | PERFORMER = auto() 13 | TITLE = auto() 14 | FILE = auto() 15 | TRACK = auto() 16 | INDEX = auto() 17 | REM = auto() 18 | EOF = auto() 19 | 20 | 21 | def _unquote(s: str): 22 | return s[1 + s.index('"'):s.rindex('"')] 23 | 24 | 25 | _whitespace_pattern = re.compile(r'\s+') 26 | _rem_tag_pattern = re.compile(r'([A-Z_]+) (.+)') 27 | 28 | 29 | def parse_cd_time(offset: str) -> Number: 30 | """parse time in CD-DA (75fps) format to seconds, exactly 31 | MM:SS:FF""" 32 | m, s, f = map(int, offset.split(':')) 33 | return m * 60 + s + Fraction(f, 75) 34 | 35 | 36 | def _parse_cue_cmd(line: str, offset_in_seconds: bool = True): 37 | line = line.strip() 38 | cmd, args = _whitespace_pattern.split(line, 1) 39 | if cmd == 'PERFORMER': 40 | return CueCmd.PERFORMER, _unquote(args) 41 | if cmd == 'TITLE': 42 | return CueCmd.TITLE, _unquote(args) 43 | if cmd == 'FILE': 44 | return CueCmd.FILE, _unquote(args) 45 | if cmd == 'TRACK': 46 | number, _ = _whitespace_pattern.split(args, 1) 47 | number = int(number) 48 | return CueCmd.TRACK, number 49 | if cmd == 'INDEX': 50 | number, offset = _whitespace_pattern.split(args, 1) 51 | number = int(number) 52 | if offset_in_seconds: 53 | offset = parse_cd_time(offset) 54 | return CueCmd.INDEX, number, offset 55 | if cmd == 'REM': 56 | tag_name, tag_value = _rem_tag_pattern.fullmatch(args).groups() 57 | return CueCmd.REM, tag_name, tag_value 58 | 59 | return None 60 | 61 | 62 | def read_cue_from_file(in_path: str) -> str: 63 | with open(in_path, 'rb') as f: 64 | assert isinstance(f, BufferedIOBase) 65 | content = f.read() 66 | encoding = chardet.detect(content)['encoding'] 67 | return content.decode(encoding) 68 | 69 | 70 | def parse_cue_str(content: str, offset_in_seconds: bool = True) -> Iterable[tuple]: 71 | for line in content.splitlines(): 72 | cmd = _parse_cue_cmd(line, offset_in_seconds) 73 | if cmd: 74 | yield cmd 75 | yield CueCmd.EOF, None 76 | -------------------------------------------------------------------------------- /audio_metrics/__init__.py: -------------------------------------------------------------------------------- 1 | from audio_metrics.audio_metrics import * 2 | -------------------------------------------------------------------------------- /audio_metrics/audio_metrics.py: -------------------------------------------------------------------------------- 1 | from math import floor 2 | from typing import NamedTuple, Iterator 3 | 4 | import numpy as np 5 | 6 | from audio_io.audio_io import AudioSourceInfo 7 | 8 | 9 | class DynamicRangeMetrics(NamedTuple): 10 | dr: int 11 | peak: float 12 | rms: float 13 | sample_count: int 14 | 15 | 16 | def _calc_block_metrics(map_impl, samples: Iterator[np.ndarray], sample_count): 17 | def process_part(a: np.ndarray): 18 | length = a.shape[1] 19 | sample_count[0] += length 20 | 21 | a = np.ascontiguousarray(a) 22 | peaks = np.max(np.abs(a), axis=1) 23 | 24 | a = a ** 2 # numpy sometimes created readonly array so a**=2 won't always work 25 | sum_sqr = np.sum(a, axis=1) 26 | rms = np.sqrt(2.0 * sum_sqr / length) 27 | return peaks, rms, sum_sqr 28 | 29 | results = map_impl(process_part, samples) 30 | 31 | for peaks, rms, sum_sqr in results: 32 | yield from peaks 33 | yield from rms 34 | yield from sum_sqr 35 | 36 | 37 | def decibel(a): 38 | return np.log10(a) * 20 39 | 40 | 41 | def compute_dr(pool, a: AudioSourceInfo, samples: Iterator[np.ndarray], 42 | keep_precision: bool, 43 | ) -> DynamicRangeMetrics: 44 | channel_count = a.channel_count 45 | 46 | sample_count = [0] 47 | 48 | metrics = np.fromiter(_calc_block_metrics(pool, samples, sample_count), dtype=' 0 171 | 172 | import multiprocessing.dummy as mt 173 | import multiprocessing 174 | 175 | cpu_count = multiprocessing.cpu_count() 176 | 177 | def choose_map_impl(threads, *, chunksize): 178 | if threads <= 1: 179 | return map 180 | pool = mt.Pool(threads) 181 | return functools.partial(pool.imap_unordered, chunksize=chunksize) 182 | 183 | threads_outer = max(1, min(num_files, cpu_count)) 184 | threads_inner = cpu_count // threads_outer 185 | map_impl_outer = choose_map_impl(threads_outer, chunksize=1) 186 | map_impl_inner = choose_map_impl(threads_inner, chunksize=4) 187 | 188 | def analyze_part_tracks(audio_data: AudioData, audio_info_part: AudioSourceInfo, map_impl): 189 | for track_samples, track_info in zip(audio_data.blocks_generator, audio_info_part.tracks): 190 | dr_metrics = compute_dr(map_impl, audio_info_part, track_samples, keep_precision) 191 | yield track_info, dr_metrics 192 | 193 | def analyze_part(map_impl, audio_info_part: AudioSourceInfo): 194 | ffmpeg_args = [] 195 | ffmpeg_args += [ 196 | '-loglevel', 'fatal', 197 | '-i', audio_info_part.file_path, 198 | '-map', '0:a:0', 199 | '-c:a', 'pcm_f32le', 200 | ] 201 | 202 | if not no_resample: 203 | ffmpeg_args += [ 204 | '-ar', str(MEASURE_SAMPLE_RATE), 205 | # ^ because apparently official meter resamples to 44k before measuring; 206 | # using default low quality resampling because it doesn't affect measurements and is faster 207 | ] 208 | 209 | ffmpeg_args += [ 210 | '-f', 'f32le', 211 | '-', 212 | ] 213 | 214 | if no_resample: 215 | sample_rate = audio_info_part.sample_rate 216 | else: 217 | sample_rate = MEASURE_SAMPLE_RATE 218 | 219 | audio_data = read_audio_data(audio_info_part, 220 | samples_per_block=3 * sample_rate, 221 | ffmpeg_args=ffmpeg_args, 222 | bytes_per_sample_mono=4, 223 | numpy_sample_type='=1.13.3 2 | chardet>=3.0.4 -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/magicgoose/simple-dr-meter/e4757be8d7249f7c9d404542e20c559d017f32f4/setup.py -------------------------------------------------------------------------------- /util/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/magicgoose/simple-dr-meter/e4757be8d7249f7c9d404542e20c559d017f32f4/util/__init__.py -------------------------------------------------------------------------------- /util/constants.py: -------------------------------------------------------------------------------- 1 | MEASURE_SAMPLE_RATE = 44100 2 | -------------------------------------------------------------------------------- /util/natural_sort.py: -------------------------------------------------------------------------------- 1 | import re 2 | 3 | _num_pattern = re.compile('([0-9]+)') 4 | 5 | 6 | def natural_sort_key(s): 7 | return [int(text) if text.isdigit() else text 8 | for text in re.split(_num_pattern, s)] 9 | --------------------------------------------------------------------------------