UCSD-E4E / PyHa

A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!
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Add more detailed Python installation instructions #201

Open TQZhang04 opened 4 months ago

ntlhui commented 4 months ago

What more detail is required/desired?

We should update the docs to remove python3.8.

If it is not obvious that they need to install the correct python for their OS and architecture, then maybe that person isn't ready to take on PyHa.