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MTG / gaia

C++ library to apply similarity measures and classifications on the results of audio analysis, including Python bindings. Together with Essentia it can be used to compute high-level descriptions of music.
http://essentia.upf.edu
GNU Affero General Public License v3.0
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pre-compiled Win Version does not support Genre and Mood Descriptors #114

Open ewewo2 opened 3 years ago

ewewo2 commented 3 years ago

The pre-compiled version of music extractor (2.1beta2 and beta6) do not give any information about genre and mood and the result text file

Pysis868 commented 3 years ago

That would be a product of the Essentia repo that may generate that information when linked with this one. http://essentia.upf.edu/documentation/extractors/ https://essentia.upf.edu/extractors/

Possibly when using the streaming_extractor_music_svm command instead of the streaming_extractor_music, or just using the latter with a yaml profile file, although I cannot find the former in the prebuilt binaries yet.. https://essentia.upf.edu/streaming_extractor_music.html#configuration http://essentia.upf.edu/documentation/svm_models/

Note, that you need to build Essentia with Gaia2 or use our static builds (soon online) in order to be able to run high-level models. Since Essentia version 2.1 high-level models are distributed apart from Essentia via a download page.