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Josef-Haupt avatar Josef-Haupt commented on July 27, 2024 1

As mentioned in the README the current recommended way to install this repo is using the pypi package.
So it should be possible to use the pip in your environment to install the package locally.

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cbalantic avatar cbalantic commented on July 27, 2024

Update: in terms of an easy solution on my own machine (Windows), I got BirdNET-Analyzer to run from R in a conda environment by manually copying the "checkpoints" folder and eBird_taxonomy_codes_2021E.json file from BirdNET-Analyzer-main over into the conda env folder itself. Not elegant, but it's working... and it's way faster than BirdNET-Lite!

Still curious about the conda-forge question though. Thank you for considering.

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kahst avatar kahst commented on July 27, 2024

I have to admit that I haven't worked with Conda so far, but releasing this repo as some kind of package seems to be a neat thing. I'll have to do some digging and can't promise anything right now, but I'll try. In the meantime: We are also working on an R interface for BirdNET which we will release with this repo (hopefully very soon). Ideally, this would mitigate some of the difficulties when setting up and running BirdNET for the non-CS community. I'll keep you posted.

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cbalantic avatar cbalantic commented on July 27, 2024

Hi Stefan, sounds great. Looking forward to learning more.

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