satisfy flake8 linter (this is ridiculus)
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Bdoner
@@ -48,7 +48,8 @@ readings = 10
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plt_top10_today = (df_plt_today['Com_Name'].value_counts()[:readings])
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df_plt_top10_today = df_plt_today[df_plt_today.Com_Name.isin(plt_top10_today.index)]
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if df_plt_top10_today.empty: exit(0)
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if df_plt_top10_today.empty:
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exit(0)
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# Set Palette for graphics
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pal = "Greens"
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@@ -93,7 +93,7 @@ else:
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def date_filter(df, start_date, end_date):
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filt = (df2.index >= pd.Timestamp(start_date)) & (df2.index <= pd.Timestamp(end_date + timedelta(days=1)))
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df = df[filt]
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return(df)
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return (df)
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df2 = date_filter(df2, start_date, end_date)
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@@ -140,7 +140,7 @@ def time_resample(df, resample_time):
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else:
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df_resample = df.resample(resample_time)['Com_Name'].aggregate('unique').explode()
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return(df_resample)
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return (df_resample)
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top_bird = df2['Com_Name'].mode()[0]
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@@ -172,10 +172,10 @@ if daily is False:
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if resample_time != '1D':
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specie = st.selectbox(
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'Which bird would you like to explore for the dates '
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+ str(start_date) + ' to ' + str(end_date) + '?',
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species,
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index=0)
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'Which bird would you like to explore for the dates '
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+ str(start_date) + ' to ' + str(end_date) + '?',
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species,
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index=0)
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# filt = df2['Com_Name'] == specie
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if specie == 'All':
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@@ -192,7 +192,7 @@ if daily is False:
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# '{:.2f}%'.format(max(df2[df2['Com_Name'] == specie]['Confidence']) * 100)) +
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# ' ' + ' Median:' + str(
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# '{:.2f}%'.format(np.median(df2[df2['Com_Name'] == specie]['Confidence']) * 100))
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)
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)
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)
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fig.layout.annotations[1].update(x=0.7, y=0.25, font_size=15)
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@@ -252,7 +252,7 @@ if daily is False:
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fig = make_subplots(
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rows=3, cols=1,
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specs=[[{"type": "polar", "rowspan": 2}], [{"rowspan": 1}], [{"type": "xy", "rowspan": 1}]]
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)
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)
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# Set 360 degrees, 24 hours for polar plot
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theta = np.linspace(0.0, 360, 24, endpoint=False)
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+16
-31
@@ -1,18 +1,5 @@
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from pathlib import Path
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from tzlocal import get_localzone
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import datetime
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import sqlite3
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import requests
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import json
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import time
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import math
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import numpy as np
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import librosa
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import operator
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import socket
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import threading
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import os
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import sys
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import argparse
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import datetime
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@@ -22,7 +9,6 @@ except BaseException:
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from tensorflow import lite as tflite
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def loadMetaModel():
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global M_INTERPRETER
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@@ -51,15 +37,16 @@ def loadMetaModel():
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print("loaded META model")
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def predictFilter(lat, lon, week):
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global M_INTERPRETER
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# Does interpreter exist?
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try:
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if M_INTERPRETER == None:
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if M_INTERPRETER is None:
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loadMetaModel()
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except Exception as e:
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except Exception:
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loadMetaModel()
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# Prepare mdata as sample
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@@ -71,6 +58,7 @@ def predictFilter(lat, lon, week):
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return M_INTERPRETER.get_tensor(M_OUTPUT_LAYER_INDEX)[0]
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def explore(lat, lon, week, threshold):
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# Make filter prediction
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@@ -87,6 +75,7 @@ def explore(lat, lon, week, threshold):
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return l_filter
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def getSpeciesList(lat, lon, week, threshold=0.05, sort=False):
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print('Getting species list for {}/{}, Week {}...'.format(lat, lon, week), end='', flush=True)
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@@ -98,7 +87,7 @@ def getSpeciesList(lat, lon, week, threshold=0.05, sort=False):
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slist = []
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for p in pred:
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if p[0] >= threshold:
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slist.append([p[1],p[0]])
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slist.append([p[1], p[0]])
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return slist
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@@ -112,17 +101,14 @@ with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
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lon = str(str(str([i for i in this_run if i.startswith('LONGITUDE')]).split('=')[1]).split('\\')[0])
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weekofyear = datetime.datetime.today().isocalendar()[1]
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if __name__ == '__main__':
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if __name__ == '__main__':
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# Parse arguments
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parser = argparse.ArgumentParser(description='Get list of species for a given location with BirdNET. Sorted by occurrence frequency.')
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#parser.add_argument('--o', default='/home/pi/BirdNET-Pi/include_species_list.txt', help='Path to output file or folder. If this is a folder, file will be named \'species_list.txt\'.')
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#parser.add_argument('--lat', type=float, default=##, help='Recording location latitude. Set -1 to ignore.')
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#parser.add_argument('--lon', type=float, default=##, help='Recording location longitude. Set -1 to ignore.')
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#parser.add_argument('--week', type=int, default=dayofweek, help='Week of the year when the recording was made. Values in [1, 48] (4 weeks per month). Set -1 for year-round species list.')
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parser = argparse.ArgumentParser(
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description='Get list of species for a given location with BirdNET. Sorted by occurrence frequency.'
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)
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parser.add_argument('--threshold', type=float, default=0.05, help='Occurrence frequency threshold. Defaults to 0.05.')
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#parser.add_argument('--sortby', default='freq', help='Sort species by occurrence frequency or alphabetically. Values in [\'freq\', \'alpha\']. Defaults to \'freq\'.')
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args = parser.parse_args()
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LOCATION_FILTER_THRESHOLD = args.threshold
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@@ -130,10 +116,9 @@ if __name__ == '__main__':
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# Get species list
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species_list = getSpeciesList(lat, lon, weekofyear, LOCATION_FILTER_THRESHOLD, False)
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for x in range(len(species_list)):
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print(species_list[x][0] + " - "+ str(species_list[x][1]))
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print("\nThe above species list describes all the species that the model will attempt to detect. If you don't see a species you want detected on this list, decrease your threshold.")
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print("\nNOTE: no actual changes to your BirdNET-Pi species list were made by running this command. To set your desired frequency threshold, do it through the BirdNET-Pi web interface (Tools -> Settings -> Model)")
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print(species_list[x][0] + " - " + str(species_list[x][1]))
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print("\nThe above species list describes all the species that the model will attempt to detect. \
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If you don't see a species you want detected on this list, decrease your threshold.")
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print("\nNOTE: no actual changes to your BirdNET-Pi species list were made by running this command. \
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To set your desired frequency threshold, do it through the BirdNET-Pi web interface (Tools -> Settings -> Model)")
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@@ -39,6 +39,6 @@ IDFILE=/home/pi/BirdNET-Pi/IdentifiedSoFar.txt"""
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f.write(text)
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settings = config_to_settings(filename.name)
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assert(settings["APPRISE_NOTIFICATION_TITLE"] == "Bird!")
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assert(settings["FULL_DISK"] == "purge")
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assert(settings["OVERLAP"] == "0.0") # Yes, it's a string at this point.
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assert (settings["APPRISE_NOTIFICATION_TITLE"] == "Bird!")
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assert (settings["FULL_DISK"] == "purge")
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assert (settings["OVERLAP"] == "0.0") # Yes, it's a string at this point.
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