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that could fit and being used to replace one person of the dialogue from the short movie "Kernseif". | that could fit and being used to replace one person of the dialogue from the short movie "Kernseif". | ||
I collected and sorted the snippets within the .srt and added them to the .xml/.mlt. After I have molten the movies together I polished them in shotcut. | I collected and sorted the snippets within the .srt and added them to the .xml/.mlt. After I have molten the movies together I polished them in shotcut. | ||
== '''Detecting for words within the subtitledata:''' == | == '''Detecting for words within the subtitledata:''' == | ||
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== '''Detecting and resorting tones with pd and cuttlefish:''' == | == '''Detecting and resorting tones with pd and cuttlefish:''' == | ||
{{#ev:vimeo|661808374|720|left}} | {{#ev:vimeo|661808374|720|left}} | ||
== '''Detecting objects by a opencv pythonscript:''' == | == '''Detecting objects by a opencv pythonscript:''' == | ||
{{#ev:youtube|vPXHx1mKETQ|740|left}} | {{#ev:youtube|vPXHx1mKETQ|740|left}} | ||
Latest revision as of 22:26, 5 March 2022
Final Work:
Here I remixed a dialogue, with the help of the find_word tool. I was looking for words by the protagonist within the movie "Meet Dave" that could fit and being used to replace one person of the dialogue from the short movie "Kernseif". I collected and sorted the snippets within the .srt and added them to the .xml/.mlt. After I have molten the movies together I polished them in shotcut.
Detecting for words within the subtitledata: