birdnet laptop mode

analyse.sh

#!/bin/bash
TIMEFORMAT='Elapsed Time: %0R seconds.' 
time {
export YEAR=`date '+%Y'`
export MONTH=`date '+%m'`
export DAY=`date '+%d'`
export WEEK=`date '+%U'`
# kill `cat /home/max/tweet/recording.pid`
for f in `ls /home/max/tweet/samples/${YEAR}/${MONTH}/${DAY}/*.wav`
do
    if [ ! -f "${f%.wav}.csv" ]; then
        python3 /home/max/src/BirdNET-Analyzer/analyze.py --i ${f} --o ${f%.wav}.csv --rtype csv --min_conf 0.6 --threads 3 --lat 34.203804 --lon -118.129816 --week ${WEEK} >> /home/max/tweet/${YEAR}-${MONTH}-${DAY}.out 2>> /home/max/tweet/${YEAR}-${MONTH}-${DAY}.err
        t=$(basename ${f})
        # add the file name (a timestamp) to the end of each file row
        sed -i 's/$/,'"${t%.wav}"'/' ${f%.wav}.csv
        sed -i 's/Confidence.*/Confidence,time/' ${f%.wav}.csv
    fi
done
# cat /home/max/tweet/header.csv > ${YEAR}-${MONTH}-${DAY}.csv
# # strip the headers
# cat /home/max/tweet/samples/${YEAR}/${MONTH}/${DAY}/*.csv | grep -v Confidence >> /home/max/tweet/t1.csv
# # sort by common name and confidence
# sort -t "," -k3,3 -k5,5nr /home/max/tweet/t1.csv > /home/max/tweet/t2.csv
# # remove the first few columns
# cut -d ',' -f 4,5- t2.csv >> /home/max/tweet/${YEAR}-${MONTH}-${DAY}.csv
# # clean up
# rm /home/max/tweet/t*.csv

}

./stats.sh

birdnet.yaml

name: birdnet
channels:
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=4.5=1_gnu
  - ca-certificates=2022.3.29=h06a4308_1
  - certifi=2021.10.8=py39h06a4308_2
  - ld_impl_linux-64=2.35.1=h7274673_9
  - libffi=3.3=he6710b0_2
  - libgcc-ng=9.3.0=h5101ec6_17
  - libgomp=9.3.0=h5101ec6_17
  - libstdcxx-ng=9.3.0=hd4cf53a_17
  - ncurses=6.3=h7f8727e_2
  - openssl=1.1.1n=h7f8727e_0
  - pip=21.2.4=py39h06a4308_0
  - python=3.9.12=h12debd9_0
  - readline=8.1.2=h7f8727e_1
  - setuptools=61.2.0=py39h06a4308_0
  - sqlite=3.38.2=hc218d9a_0
  - tk=8.6.11=h1ccaba5_0
  - tzdata=2022a=hda174b7_0
  - wheel=0.37.1=pyhd3eb1b0_0
  - xz=5.2.5=h7b6447c_0
  - zlib=1.2.12=h7f8727e_2
  - pip:
    - appdirs==1.4.4
    - audioread==2.1.9
    - bottle==0.12.19
    - cffi==1.15.0
    - charset-normalizer==2.0.12
    - decorator==5.1.1
    - idna==3.3
    - joblib==1.1.0
    - librosa==0.9.1
    - llvmlite==0.38.0
    - numba==0.55.1
    - numpy==1.21.6
    - packaging==21.3
    - pooch==1.6.0
    - pycparser==2.21
    - pyparsing==3.0.8
    - requests==2.27.1
    - resampy==0.2.2
    - scikit-learn==1.0.2
    - scipy==1.8.0
    - six==1.16.0
    - soundfile==0.10.3.post1
    - tflite-runtime==2.8.0
    - threadpoolctl==3.1.0
    - urllib3==1.26.9

record.sh

#!/bin/bash
export YEAR=`date '+%Y'`
export MONTH=`date '+%m'`
export DAY=`date '+%d'`
mkdir -p /home/max/tweet/samples/${YEAR}/${MONTH}/${DAY}/
arecord -D sysdefault:CARD=1 --quiet --max-file-time 60 -f S16_LE -r 48000 -t wav --use-strftime /home/max/tweet/samples/%Y/%m/%d/%H-%M-%S.wav

stats.sh

#!/bin/bash
find . -name "*.csv" -mtime -1 | sort | xargs -n 1 csv-parser | jsonfilter --match="this.Confidence > 0.8"