diff options
Diffstat (limited to 'roles/caption')
| -rw-r--r-- | roles/caption/tasks/main.yml | 4 | ||||
| -rwxr-xr-x | roles/caption/templates/process-captions.py | 84 |
2 files changed, 34 insertions, 54 deletions
diff --git a/roles/caption/tasks/main.yml b/roles/caption/tasks/main.yml index 7fe1570..353b83b 100644 --- a/roles/caption/tasks/main.yml +++ b/roles/caption/tasks/main.yml @@ -31,7 +31,7 @@ path: "{{ emacsconf_caption_dir }}" state: directory - name: Copy the script for processing the files - tags: process-captions, wip + tags: process-captions template: src: process-captions.py dest: "{{ emacsconf_caption_dir }}/process-captions.py" @@ -58,7 +58,6 @@ group: root mode: 0755 - name: Change the group for all the files - tags: wip file: dest: "{{ emacsconf_caption_dir }}" group: "{{ emacsconf_group }}" @@ -66,7 +65,6 @@ recurse: true - name: Restart caption monitoring service become: true - tags: wip service: name: captions enabled: true diff --git a/roles/caption/templates/process-captions.py b/roles/caption/templates/process-captions.py index 72e9ad2..66f39dd 100755 --- a/roles/caption/templates/process-captions.py +++ b/roles/caption/templates/process-captions.py @@ -32,16 +32,12 @@ import datetime import sys import webvtt import xml.etree.ElementTree as ET -from lhotse import RecordingSet, Recording, AudioSource, SupervisionSegment, SupervisionSet, create_cut_set_eager, align_with_torchaudio, CutSet, annotate_with_whisper -from tqdm import tqdm -import whisper -import re -import os +from lhotse import RecordinRecording, AudioSource, SupervisionSegment, SupervisionSet, create_cut_set_e import json import torch -THREADS = 12 -VIDEO_REGEXP = '\.(webm|mov)$' +THREADS = {{ cpus }} +VIDEO_REGEXP = '\.(webm|mov|mp4)$' AUDIO_REGEXP = '\.(ogg|opus)$' ALWAYS = False TRIM_AUDIO = False @@ -49,6 +45,8 @@ MODEL = os.environ.get('MODEL', 'large') # Set to tiny for testing WORK_DIR = "{{ emacsconf_caption_dir }}" JSON_FILE = os.path.join(WORK_DIR, 'talks.json') +# ---------------------------------------------------------------- + def get_slug_from_filename(filename): m = re.search('emacsconf-[0-9]+-([a-z]+)--', filename) if m: @@ -155,41 +153,23 @@ def generate_srv2(work): captions.append(SupervisionSegment(id=rec_id + '-sup' + '%05d' % i, channel=recs[0].channel_ids[0], recording_id=rec_id, start=to_sec(caption.start), duration=to_sec(caption.end) - to_sec(caption.start), text=caption.text, language='English')) sups = SupervisionSet.from_segments(captions) main = CutSet.from_manifests(recordings=recs, supervisions=sups) - work['cuts'] = main.trim_to_supervisions(keep_overlapping=False,keep_all_channels=True) + work['cuts'] = main.trim_to_supervisions(keep_all_channels=True) cuts_aligned = align_with_torchaudio(work['cuts']) root = ET.Element("timedtext") doc = ET.SubElement(root, "window") for line, aligned in enumerate(cuts_aligned): - # Numbers are weird - words = re.split(' ', captions[line].text) - tokenized_words = [re.sub('[^\'A-Z0-9]', '', w.upper()) for w in words] - if len(aligned.supervisions) == 0: - print(captions[line], aligned) - continue - aligned_words = list(aligned.supervisions[0].alignment['word']) - aligned_index = 0 - aligned_len = len(aligned_words) - word_index = 0 - word_len = len(words) - while word_index < word_len and aligned_index < aligned_len: - # log("Choosing %s %s" % (words[word_index], aligned_words[aligned_index].symbol)) - ET.SubElement(doc, 'text', - t=str(float(aligned_words[aligned_index].start)*1000), - d=str(float(aligned_words[aligned_index].duration)*1000), - w="1", - append="1").text = words[word_index] - if tokenized_words[word_index] != aligned_words[aligned_index].symbol and word_index < word_len - 1: - # Scan ahead for a word that maches the next word, but don't go too far - cur_aligned = aligned_index - while aligned_index < aligned_len and aligned_index < cur_aligned + 5 and aligned_words[aligned_index].symbol != tokenized_words[word_index + 1]: - log("Sliding to match %s %d %s" % (tokenized_words[word_index + 1], aligned_index, aligned_words[aligned_index].symbol)) - aligned_index = aligned_index + 1 - if not aligned_words[aligned_index].symbol == tokenized_words[word_index + 1]: - log("Resetting, couldn't find") - aligned_index = cur_aligned + 1 - else: - aligned_index = aligned_index + 1 - word_index = word_index + 1 + if len(aligned.supervisions) > 0: + aligned_words = aligned.supervisions[0].alignment['word'] + for w, word in enumerate(aligned_words): + el = ET.SubElement(doc, 'text', + t=str(float(word.start)*1000), + d=str(float(word.duration)*1000), + w="1", + append="1") + el.text = word.symbol + el.tail = "\n" + else: + print("No supervisions", aligned) tree = ET.ElementTree(root) work['srv2'] = work['base'] + '.srv2' with open(work['srv2'], "w") as f: @@ -218,18 +198,20 @@ directory = sys.argv[1] if len(sys.argv) > 1 else WORK_DIR needs_work = get_files_to_work_on(directory) if len(needs_work) > 0: - if THREADS > 0: - torch.set_num_threads(THREADS) - for work in needs_work: - log("Started processing %s" % work['base']) - if work['audio']: - if ALWAYS or not 'vtt' in work: - work = generate_captions(work) - if ALWAYS or not 'srv2' in work: - work = generate_srv2(work) - # print("Aligning words", audio_file, datetime.datetime.now()) - # word_cuts = align_words(cuts) - # convert_cuts_to_word_timing(audio_file, word_cuts) - log("Done %s" % str(work['base'])) + while len(needs_work) > 0: + if THREADS > 0: + torch.set_num_threads(THREADS) + for work in needs_work: + log("Started processing %s" % work['base']) + if work['audio']: + if ALWAYS or not 'vtt' in work: + work = generate_captions(work) + if ALWAYS or not 'srv2' in work: + work = generate_srv2(work) + # print("Aligning words", audio_file, datetime.datetime.now()) + # word_cuts = align_words(cuts) + # convert_cuts_to_word_timing(audio_file, word_cuts) + log("Done %s" % str(work['base'])) + needs_work = get_files_to_work_on(directory) else: log("No work needed.") |