Samantha Prestrelski
Samantha Prestrelski
Could I also contribute?
Agreed. It might be worthwhile to point students to a Python installation guide instead: https://realpython.com/installing-python/
For the ROC curve legend, entries should have the species and AUC score truncated to 4 digits after the decimal for legibility
Have ROC curves generate the same color for the same species across different runs
Microfaune can be installed through pip using ``` -e "PyHa/microfaune_package" ```
Maybe? Linting should help typecheck any parameters that get passed in, but wouldn't necessarily help if we change the datatype in the function (ie. dictionary --> DataFrame).
Great work so far! I have a couple changes I'd like to see: 1. Contrast - Given that the spectrogram is blue, it'll be hard to see colors like blue...
It'd be great if they were consistent throughout the whole program.
How large are said datasets, and what model was used?
Metrics could include - \# of clips labeled - \# of annotations made - duration of annotations made - time spent annotating