Releases
release_16
Optimizations, huge speed improvement and lowering of system requirements
Replaced spleeter(which uses tensorflow) with openunmix to reduce memory usage/increase cpu optimization
Huge speed boost, was over twice as fast when testing it (an audio file that took 1min6secs to convert, now takes about 31seconds to convert)
Significant code optimization to reduce memory usage without messing up the vmd output
Should no longer require a paging file or a lot of memory to use
"Seperate Vocals" setting added to audio2vmd.py along with GUI and config file:
Can be set to "automatic", "always", or "never" to choose how audio2vmd seperates vocal files.
'automatic' = detect and separate if needed
'always' = skip detection and always separate all audio files
'never' = skip detection and assume file is already vocals-only).
"automatic" is recommended if any of your files have music/background noise, otherwise "never" is recommended for a additional big speed boost.
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