8000 Add verbose option to turn off logs for scripting by acmiyaguchi · Pull Request #124 · joeweiss/birdnetlib · GitHub
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Add verbose option to turn off logs for scripting #124

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Add verbose option to turn off logs for scripting #124

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fd6a61c
Add a verbose setting to the analyzer
acmiyaguchi Jun 14, 2024
5a0c49e
Ignore print statements in read_audio
acmiyaguchi Jun 14, 2024
2fa71ee
Add missing verbose attribute
acmiyaguchi Jun 14, 2024
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18 changes: 13 additions & 5 deletions src/birdnetlib/analyzer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,6 +68,7 @@ def __init__(
classifier_model_path=None,
classifier_labels_path=None,
version=None,
verbose=True,
):
self.name = "Analyzer"
self.model_name = "BirdNET-Analyzer"
Expand Down Expand Up @@ -101,6 +102,8 @@ def __init__(
# Download version dynamically if there's a match.
self.check_for_model_files()

self.verbose = verbose

self.classifier_model_path = classifier_model_path
self.classifier_labels_path = classifier_labels_path
self.use_custom_classifier = (
Expand Down Expand Up @@ -294,14 +297,16 @@ def return_predicted_species_list(
week_48=None,
filter_threshold=LOCATION_FILTER_THRESHOLD,
):
print("return_predicted_species_list")
if self.verbose:
print("return_predicted_species_list")

return self.species_class.return_list_for_analyzer(
lat=lat, lon=lon, week_48=week_48, threshold=filter_threshold
)

def set_predicted_species_list_from_position(self, recording):
print("set_predicted_species_list_from_position")
if self.verbose:
print("set_predicted_species_list_from_position")

# Check to see if this species list has been previously cached.
list_key = f"list-{recording.lon}-{recording.lat}-{recording.week_48}"
Expand All @@ -321,7 +326,8 @@ def set_predicted_species_list_from_position(self, recording):
self.cached_species_lists[list_key] = species_list

def analyze_recording(self, recording):
print("analyze_recording", recording.filename)
if self.verbose:
print("analyze_recording", recording.filename)

if self.has_custom_species_list and recording.lon and recording.lat:
raise ValueError(
Expand All @@ -330,7 +336,8 @@ def analyze_recording(self, recording):

# If recording has lon/lat, load cached list or predict a new species list.
if recording.lon and recording.lat and self.classifier_model_path == None:
print("recording has lon/lat")
if self.verbose:
print("recording has lon/lat")
self.set_predicted_species_list_from_position(recording)

start = 0
Expand Down Expand Up @@ -364,7 +371,8 @@ def analyze_recording(self, recording):
recording.detection_list = self.detections

def extract_embeddings_for_recording(self, recording):
print("extract_embeddings_for_recording", recording.filename)
if self.verbose:
print("extract_embeddings_for_recording", recording.filename)
start = 0
end = recording.sample_secs
results = []
Expand Down
14 changes: 12 additions & 2 deletions src/birdnetlib/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@ def __init__(
min_conf=0.1,
overlap=0.0,
return_all_detections=False,
verbose=True,
):
self.analyzer = analyzer
self.detections_dict = {} # Old format
Expand All @@ -50,6 +51,7 @@ def __init__(
self.extracted_audio_paths = {}
self.extracted_spectrogram_paths = {}
self.return_all_detections = return_all_detections
self.verbose = verbose

def analyze(self):
# Check that analyzer is not LargeRecordingAnalyzer
Expand Down Expand Up @@ -169,8 +171,8 @@ def process_audio_data(self, rate):
chunks.append(split)

self.chunks = chunks

print("read_audio_data: complete, read ", str(len(self.chunks)), "chunks.")
if self.verbose:
print("read_audio_data: complete, read ", str(len(self.chunks)), "chunks.")

def get_extract_array(self, start_sec, end_sec):
# Returns ndarray trimmed for start_sec:end_sec
Expand Down Expand Up @@ -278,6 +280,7 @@ def __init__(
min_conf=0.1,
overlap=0.0,
return_all_detections=False,
**kwargs,
):
self.path = path
p = Path(self.path)
Expand All @@ -292,6 +295,7 @@ def __init__(
min_conf,
overlap,
return_all_detections,
**kwargs,
)

@property
Expand Down Expand Up @@ -333,6 +337,7 @@ def __init__(
min_conf=0.1,
overlap=0.0,
return_all_detections=False,
**kwargs,
):
self.buffer = buffer
self.rate = rate
Expand All @@ -346,6 +351,7 @@ def __init__(
min_conf,
overlap,
return_all_detections,
**kwargs,
)

@property
Expand All @@ -371,6 +377,7 @@ def __init__(
min_conf=0.1,
overlap=0.0,
return_all_detections=False,
**kwargs,
):
self.file_obj = file_obj
super().__init__(
Expand All @@ -383,6 +390,7 @@ def __init__(
min_conf,
overlap,
return_all_detections,
**kwargs,
)

@property
Expand Down Expand Up @@ -423,6 +431,7 @@ def __init__(
min_conf=0.1,
overlap=0,
return_all_detections=False,
**kwargs,
):
super().__init__(
analyzer,
Expand All @@ -435,6 +444,7 @@ def __init__(
min_conf,
overlap,
return_all_detections,
**kwargs,
)

def analyze(self):
Expand Down
0