- #AEGISUB CHANGE END TIME TO FULL#
- #AEGISUB CHANGE END TIME TO CODE#
- #AEGISUB CHANGE END TIME TO DOWNLOAD#
#AEGISUB CHANGE END TIME TO FULL#
put the full stops back into the text, after splitting. I have refined the checking for existing dictionary start times and altered the method used to decide if a sentence has ended i.e.
#AEGISUB CHANGE END TIME TO CODE#
The code is commented throughout, so most things should be clear, as to how and why. Obviously, with only a single file to play with, I may well be missing some sub-title layout humps in the road, but at least it gives you a working starting point. Sub-title entries with multiple sentences are broken up, with start and end times calculated using the pysrt character_per_second entry for the entire sub-title entry, before it was broken up.įinally, a new sub-title file is written to disk from the entries in the dictionary. Here we advance the start time using the current record, which we know to be a new sentence. The sentence continues to be built, by adding more text and updating the end time, until the sentence finishes. So in essence, we start to build a sentence with a fixed start time. The start time is only advanced once we know that a sentence has been completed. If no start time exists, it is simply a new dictionary entry. If the start time exists, data is added to the entry for that time but the end_time is updated at the same time, so the end time advances with the text. The idea is to build a dictionary based on start_times. I have re-coded to rely on the pysrt package, as requested, and a smigeon of re. Je rappelle la définition de ce qu'est un produit scalaire, dot product dans Ⅎ.ĭonc je prends deux vecteurs dans Ⅎ et je définis cette opération-là , linéaire, u
#AEGISUB CHANGE END TIME TO DOWNLOAD#
Here you may download more videos and their respective subtitle files: Edit 3 4 sub = pysrt.open('video.srt')Ĭharacters_per_second = sub.characters_per_secondįor j,character in enumerate(" ".join(text.split())):Ĭharacter_duration = len(character)*characters_per_secondĭict_subtitle = Here is a code to create a dictionary which stores character, character_duration (average over subtitle), and start or end original time stamb, if it exists for this character. This could be used to cross-check and adjust timing accordingly. The exact timing for words starting or ending an original subtitle is known.
The full sample video can be downloaded here: Īttention: The subtitle file will be overridden, so you might want to store a copy with another name to be able to compare. This might not seem like much in the beginning, but as the video gets longer, the difference increases. Our friends." As a teacher, I've internalized this message.Īs you can see the original last time stamp is 00:00:29,800 whereas in the output file it is 00:00:29,859. )): 0Ĭivil Rights Movement, states, "In the end, we will remember not the words of our enemies but the silence of our friends. The output looks like this (yes, there is still some work to do on the sentence recognition par (i.e.
We will remember not the words of our enemiesĪs a teacher, I've internalized this message.Ĭonvert_subtitle_one_sentence("test.srt") # Check if there is a non-sentence remaining at the end # Store the sentence together with the time it takes to say the sentenceĭict_times_sentences_subtitle = Time_sentence += dict_times_word_subtitle # Compute the time it takes to speak the sentenceįor j in range(last_number_of_words, last_number_of_words + number_of_words): Total_number_of_words = len(dict_times_word_subtitle.keys())Įntire_text += dict_times_word_subtitle +" "įor i,sentence in enumerate(re.findall(r'(*)', entire_text)):
# Store Each Sentence and the Average Time to Say it in a Dictionary Time = len(word+" ")/characters_per_secondĭict_times_word_subtitle = # Store Each Word and the Average Time (seconds) it Takes to Say in a Dictionaryįor j,word in enumerate(subtitle_text.split()): Subtitle_duration = (bine(date.min, _time()) - datetime.min).total_seconds()Ĭharacters_per_second = len(subtitle_text)/subtitle_duration # Store Each Word and the Average Time it Takes to Say it in a dictionary I create a new srt file (subtitle file) which starts at the same time as the original srt file and the subtitle timings can then be taken from the duration that it takes to speak the sentences.įor now, I have written the following code: #-įrom datetime import datetime, date, time, timedeltaĭef convert_subtitle_one_sentence(file_name):.I extract the sentences from the entire textģ.1 I store (inside dict_sentences_subtitle ) the time it take to speak the sentence with the specific words (from which I can get the duration to speak them) I am trying to program a method to convert subtitle files, such that there is always just one sentence per subtitle.ġ.2 -> Calculate the characters_per_secondġ.3 -> Use this to store (inside dict_times_word_subtitle ) the time it takes to speak the word i
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