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[♻️] Add tqdm for Progress Bars #176

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[♻️] Add tqdm for Progress Bars #176

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9 changes: 4 additions & 5 deletions PyHa/birdnet_lite/analyze.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,11 +12,11 @@
import librosa
import numpy as np
import math
import time
import pandas as pd
from sys import exit
import logging
from pathlib import Path
from tqdm import tqdm

def loadModel():

Expand Down Expand Up @@ -148,7 +148,6 @@ def predict(sample, interpreter, sensitivity, num_predictions):
def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap, interpreter, num_predictions):

detections = {}
start = time.time()
print('ANALYZING AUDIO...', end=' ', flush=True)

# Convert and prepare metadata
Expand All @@ -157,7 +156,9 @@ def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap, interpreter,

# Parse every chunk
pred_start = 0.0
for c in chunks:

# @todo maybe include a way to silence this?
for c in tqdm(chunks, desc="Analyzing chunks..."):

# Prepare as input signal
sig = np.expand_dims(c, 0)
Expand All @@ -170,8 +171,6 @@ def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap, interpreter,
detections[str(pred_start) + ';' + str(pred_end)] = p
pred_start = pred_end - overlap

print('DONE! Time', int((time.time() - start) * 10) / 10.0, 'SECONDS')

return detections

def writeResultsToDf(df, detections, min_conf, output_metadata):
Expand Down
11 changes: 3 additions & 8 deletions PyHa/statistics.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
import pandas as pd
from scipy import stats
from tqdm import tqdm
import pandas as pd
import numpy as np
import time

# Function that takes in a pandas dataframe of annotations and outputs a
# dataframe of the mean, median, mode, quartiles, and standard deviation of
Expand Down Expand Up @@ -249,9 +249,8 @@ def automated_labeling_statistics(
num_errors = 0
num_processed = 0

start_time = time.time()
# Looping through each audio clip
for clip in clips:
for clip in tqdm(clips, desc="Processing clips...", disable=not verbose):
num_processed += 1
clip_automated_df = automated_df[automated_df["IN FILE"] == clip]
# In case the extension for manual_df is different from the clip extension, just check the name before the extension
Expand All @@ -274,12 +273,8 @@ def automated_labeling_statistics(
statistics_df = pd.concat([statistics_df, clip_stats_df])
except BaseException as e:
num_errors += 1
#print("Something went wrong with: " + clip)
print(e)
continue
if num_processed % 50 == 0:
print("Processed", num_processed, "clips in", int((time.time() - start_time) * 10) / 10.0, 'seconds')
start_time = time.time()
if num_errors > 0:
checkVerbose(f"Something went wrong with {num_errors} clips out of {len(clips)} clips", verbose)
statistics_df.reset_index(inplace=True, drop=True)
Expand Down
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