Link here to BirdNET documentation about setup.
conda create -n birdnet-analyzer python=3.10 -c conda-forge -y
conda activate birdnet-analyzer
/Test-Data contains the audio files, and /Test-Output will contain the output txt files.
python3 analyze.py --i /Volumes/TLS-1/Test-Data --o /Volumes/TLS-1/Test-Output
Example of output txt file:
Selection View Channel Begin File Begin Time (s) End Time (s) Low Freq (Hz) High Freq (Hz) Species Code Common Name Confidence
1 Spectrogram 1 1 PAM10_20230329_134000.wav 27.0 30.0 0 15000 comyel Common Yellowthroat 0.1509
2 Spectrogram 1 1 PAM10_20230329_134000.wav 42.0 45.0 0 15000 whcspa White-crowned Sparrow 0.4326
3 Spectrogram 1 1 PAM10_20230329_134000.wav 51.0 54.0 0 15000 rensap Red-naped Sapsucker 0.2931
4 Spectrogram 1 1 PAM10_20230329_134000.wav 51.0 54.0 0 15000 azujay1 Azure Jay 0.1941
5 Spectrogram 1 1 PAM10_20230329_134000.wav 54.0 57.0 0 15000 yebsap Yellow-bellied Sapsucker 0.2835
6 Spectrogram 1 1 PAM10_20230329_134000.wav 54.0 57.0 0 15000 rensap Red-naped Sapsucker 0.2361
awk -F'\t' '{print $4 "," $5 "," $6 "," $10 "," $11}' *.txt | sort | uniq -c | awk -F',' '{print $2 "," $3 "," $4 "," $5 "," $1}' > summary.csv
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