moderately consequential bug that has henceforth been extinguished
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+8
-3
@@ -52,7 +52,12 @@ with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
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this_run = f.readlines()
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this_run = f.readlines()
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audiofmt = "." + str(str(str([i for i in this_run if i.startswith('AUDIOFMT')]).split('=')[1]).split('\\')[0])
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audiofmt = "." + str(str(str([i for i in this_run if i.startswith('AUDIOFMT')]).split('=')[1]).split('\\')[0])
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priv_thresh = float("." + str(str(str([i for i in this_run if i.startswith('PRIVACY_THRESHOLD')]).split('=')[1]).split('\\')[0])) / 10
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priv_thresh = float("." + str(str(str([i for i in this_run if i.startswith('PRIVACY_THRESHOLD')]).split('=')[1]).split('\\')[0])) / 10
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model = str(str(str([i for i in this_run if i.startswith('MODEL')]).split('=')[1]).split('\\')[0])
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try:
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model = str(str(str([i for i in this_run if i.startswith('MODEL')]).split('=')[1]).split('\\')[0])
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sf_thresh = str(str(str([i for i in this_run if i.startswith('SF_THRESH')]).split('=')[1]).split('\\')[0])
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except Exception as e:
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model = "BirdNET_6K_GLOBAL_MODEL"
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sf_thresh = 0.5
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def loadModel():
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def loadModel():
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@@ -136,7 +141,7 @@ def explore(lat, lon, week):
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l_filter = predictFilter(lat, lon, week)
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l_filter = predictFilter(lat, lon, week)
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# Apply threshold
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# Apply threshold
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l_filter = np.where(l_filter >= 0.03, l_filter, 0)
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l_filter = np.where(l_filter >= sf_thresh, l_filter, 0)
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# Zip with labels
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# Zip with labels
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l_filter = list(zip(l_filter, CLASSES))
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l_filter = list(zip(l_filter, CLASSES))
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@@ -150,7 +155,7 @@ def predictSpeciesList(lat, lon, week):
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l_filter = explore(lat, lon, week)
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l_filter = explore(lat, lon, week)
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for s in l_filter:
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for s in l_filter:
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if s[0] >= 0.03:
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if s[0] >= sf_thresh:
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PREDICTED_SPECIES_LIST.append(s[1])
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PREDICTED_SPECIES_LIST.append(s[1])
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def loadCustomSpeciesList(path):
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def loadCustomSpeciesList(path):
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