cronekorkn/bootshorn_investigation
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CroneKorkN 2025-06-01 19:30:48 +02:00
parent cf5b1396b1
commit c165442acc
Signed by: cronekorkn
SSH key fingerprint: SHA256:v0410ZKfuO1QHdgKBsdQNF64xmTxOF8osF1LIqwTcVw
1 changed files with 6 additions and 5 deletions
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11
process
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@ -23,7 +23,8 @@ DETECTION_DISTANCE_SECONDS = 30 # seconds (minimum time between detections)
DETECTION_DISTANCE_BLOCKS = DETECTION_DISTANCE_SECONDS // BLOCK_SECONDS # number of blocks to skip after a detection DETECTION_DISTANCE_BLOCKS = DETECTION_DISTANCE_SECONDS // BLOCK_SECONDS # number of blocks to skip after a detection
BLOCK_OVERLAP_FACTOR = 0.9 # overlap between blocks (0.2 means 20% overlap) BLOCK_OVERLAP_FACTOR = 0.9 # overlap between blocks (0.2 means 20% overlap)
MIN_SIGNAL_QUALITY = 1000.0 # maximum noise level (relative DB) to consider a detection valid MIN_SIGNAL_QUALITY = 1000.0 # maximum noise level (relative DB) to consider a detection valid
PLOT_PADDING_SECONDS = 2 # seconds (padding before and after the event in the plot) PLOT_PADDING_START_SECONDS = 2 # seconds (padding before and after the event in the plot)
PLOT_PADDING_END_SECONDS = 3 # seconds (padding before and after the event in the plot)
def process_recording(filename): def process_recording(filename):
print('processing', filename) print('processing', filename)
@ -110,13 +111,13 @@ def process_recording(filename):
def write_event(current_event, sound, samplerate): def write_event(current_event, sound, samplerate):
# write a spectrogram using the sound from start to end of the event # write a spectrogram using the sound from start to end of the event
event_start_sample = current_event['start_sample'] - samplerate * PLOT_PADDING_SECONDS event_start_sample = current_event['start_sample'] - samplerate * PLOT_PADDING_START_SECONDS
event_end_sample = current_event['end_sample'] + samplerate * PLOT_PADDING_SECONDS event_end_sample = current_event['end_sample'] + samplerate * PLOT_PADDING_END_SECONDS
event_clip = sound[event_start_sample:event_end_sample] event_clip = sound[event_start_sample:event_end_sample]
plot_start_date = current_event['start_at'] - datetime.timedelta(seconds=PLOT_PADDING_SECONDS) event = current_event['start_at'] - datetime.timedelta(seconds=PLOT_PADDING_START_SECONDS)
plt.figure(figsize=(8, 6)) plt.figure(figsize=(8, 6))
plt.specgram(event_clip, Fs=samplerate, NFFT=samplerate, noverlap=samplerate//2, cmap='inferno', vmin=-100, vmax=-10) plt.specgram(event_clip, Fs=samplerate, NFFT=samplerate, noverlap=samplerate//2, cmap='inferno', vmin=-100, vmax=-10)
plt.title(f"Bootshorn @{plot_start_date.strftime('%Y-%m-%d %H:%M:%S')}") plt.title(f"Bootshorn @{event.strftime('%Y-%m-%d %H:%M:%S')}")
plt.xlabel("Time (s)") plt.xlabel("Time (s)")
plt.ylabel("Frequency (Hz)") plt.ylabel("Frequency (Hz)")
plt.colorbar(label="Intensity (dB)") plt.colorbar(label="Intensity (dB)")