marl/openl3
OpenL3: Open-source deep audio and image embeddings
This tool helps researchers and engineers analyze sound and images by converting them into numerical representations called 'embeddings'. You feed in audio files, video frames, or images, and it outputs these embeddings which capture the semantic meaning of the content. This is useful for anyone working with multimedia data, like a sound engineer categorizing audio events or a data scientist building a content-based recommendation system.
581 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to compare, categorize, or search through large collections of audio or image data based on their semantic content.
Not ideal if you are a non-technical user looking for a ready-to-use application with a graphical interface.
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Jupyter Notebook
License
MIT
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Last pushed
Jun 17, 2023
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