Create spectral_analysis.sh

This commit is contained in:
Alexandre
2024-05-27 10:37:20 +02:00
committed by GitHub
parent 6b9fd262a7
commit 167747019a

View File

@@ -0,0 +1,60 @@
#!/usr/bin/env bash
# Performs the recording from the specified RTSP stream or soundcard
source /etc/birdnet/birdnet.conf
# Read the logging level from the configuration option
LOGGING_LEVEL="${LogLevel_BirdnetRecordingService}"
# If empty for some reason default to log level of error
[ -z $LOGGING_LEVEL ] && LOGGING_LEVEL='error'
# Additionally if we're at debug or info level then allow printing of script commands and variables
if [ "$LOGGING_LEVEL" == "info" ] || [ "$LOGGING_LEVEL" == "debug" ];then
# Enable printing of commands/variables etc to terminal for debugging
set -x
fi
[ -z $RECORDING_LENGTH ] && RECORDING_LENGTH=15
[ -d $RECS_DIR/StreamData ] || mkdir -p $RECS_DIR/StreamData
if [ ! -z $RTSP_STREAM ];then
# Explode the RSPT steam setting into an array so we can count the number we have
RTSP_STREAMS_EXPLODED_ARRAY=(${RTSP_STREAM//,/ })
while true;do
# Initially start the count off at 1 - our very first stream
RTSP_STREAMS_STARTED_COUNT=1
FFMPEG_PARAMS=""
# Loop over the streams
for i in "${RTSP_STREAMS_EXPLODED_ARRAY[@]}"
do
# Map id used to map input to output (first stream being 0), this is 0 based in ffmpeg so decrement our counter (which is more human readable) by 1
MAP_ID=$((RTSP_STREAMS_STARTED_COUNT-1))
# Build up the parameters to process the RSTP stream, including mapping for the output
FFMPEG_PARAMS+="-vn -thread_queue_size 512 -i ${i} -map ${MAP_ID}:a:0 -t ${RECORDING_LENGTH} -acodec pcm_s16le -ac 2 -ar 48000 file:${RECS_DIR}/StreamData/spectrum.wav "
# Increment counter
((RTSP_STREAMS_STARTED_COUNT += 1))
done
# Make sure were passing something valid to ffmpeg, ffmpeg will run interactive and control our loop by waiting ${RECORDING_LENGTH} between loops because it will stop once that much has been recorded
if [ -n "$FFMPEG_PARAMS" ];then
ffmpeg -hide_banner -loglevel $LOGGING_LEVEL -nostdin $FFMPEG_PARAMS
fi
done
else
if pgrep arecord &> /dev/null ;then
echo "Recording"
else
if [ -z ${REC_CARD} ];then
arecord -f S16_LE -c${CHANNELS} -r48000 -t wav --max-file-time ${RECORDING_LENGTH}\
--use-strftime ${RECS_DIR}/StreamData/spectrum.wav
else
arecord -f S16_LE -c${CHANNELS} -r48000 -t wav --max-file-time ${RECORDING_LENGTH}\
-D "${REC_CARD}" --use-strftime ${RECS_DIR}/StreamData/spectrum.wav
fi
fi
fi
# Create the spectral analysis
"$PYTHON_VIRTUAL_ENV" "$HOME"/BirdNET-Pi/scripts/spectral_analysis.py