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moderately consequential bug that has henceforth been extinguished

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This commit is contained in:
ehpersonal38
2023-01-15 13:55:36 -05:00
parent d0fb381cf5
commit 28ac9e172c
1 changed files with 8 additions and 3 deletions
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scripts/server.py
+8 -3
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@@ -52,7 +52,12 @@ with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
this_run = f.readlines()
audiofmt = "." + str(str(str([i for i in this_run if i.startswith('AUDIOFMT')]).split('=')[1]).split('\\')[0])
priv_thresh = float("." + str(str(str([i for i in this_run if i.startswith('PRIVACY_THRESHOLD')]).split('=')[1]).split('\\')[0])) / 10
model = str(str(str([i for i in this_run if i.startswith('MODEL')]).split('=')[1]).split('\\')[0])
try:
model = str(str(str([i for i in this_run if i.startswith('MODEL')]).split('=')[1]).split('\\')[0])
sf_thresh = str(str(str([i for i in this_run if i.startswith('SF_THRESH')]).split('=')[1]).split('\\')[0])
except Exception as e:
model = "BirdNET_6K_GLOBAL_MODEL"
sf_thresh = 0.5
def loadModel():
@@ -136,7 +141,7 @@ def explore(lat, lon, week):
l_filter = predictFilter(lat, lon, week)
# Apply threshold
l_filter = np.where(l_filter >= 0.03, l_filter, 0)
l_filter = np.where(l_filter >= sf_thresh, l_filter, 0)
# Zip with labels
l_filter = list(zip(l_filter, CLASSES))
@@ -150,7 +155,7 @@ def predictSpeciesList(lat, lon, week):
l_filter = explore(lat, lon, week)
for s in l_filter:
if s[0] >= 0.03:
if s[0] >= sf_thresh:
PREDICTED_SPECIES_LIST.append(s[1])
def loadCustomSpeciesList(path):