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from geopy.distance import geodesic
import re
def find_first_digit(s):
for char in s:
if char.isdigit():
return char
return None
def find_option_number(response, label, error_writer):
predicted = find_first_digit(response)
if predicted!=None:
if predicted==str(label)[0]:
return 1
else:
return 0
else:
error_writer.write("### response:{}, answer:{} ###\n".format(response, label))
return None
def trajectory_classification(response, label, error_writer):
pattern = r'car|bike|bicycle|pedestrian'
mapping = {'car': 1, 'bike': 2, 'bicycle':2, 'pedestrian': 3}
match = re.search(pattern, response, flags=re.I)
if match:
predicted = match.group()
predicted = mapping[predicted]
if predicted==label:
return 1
else:
return 0
else:
error_writer.write("### response:{}, ### answer:{} ###\n".format(response, label))
return None
def find_option_number_for_cot(response, label, error_writer):
pattern = r'\((\d+)\)'
match = re.search(pattern, response, flags=re.I)
if match:
predicted = match.group(1)
if predicted==str(label)[0]:
return 1
else:
return 0
else:
error_writer.write("### response:{}, ### answer:{} ###\n".format(response, label))
return None
def yes_or_no(response, label, error_writer):
pattern = r'Yes|No'
match = re.search(pattern, response, flags=re.I)
if match:
predicted = match.group()
predicted = predicted.title()
if predicted==label:
return 1
else:
return 0
else:
error_writer.write("### response:{}, ### answer:{} ###\n".format(response, label))
return None
def anomaly_detection(response, label, error_writer):
pattern = r'Normal|Anomalous|Anomaly|Abnormal'
match = re.search(pattern, response, flags=re.I)
if match:
predicted = match.group()
predicted = predicted.title()
if predicted=="Abnormal" or predicted=="Anomaly":
predicted=="Anomalous"
if predicted==label:
return 1
else:
return 0
else:
error_writer.write("### response:{}, ### answer:{} ###\n".format(response, label))
return None
def extract_floats(input_string):
floats = re.findall(r'\d+\.\d+', input_string)
if len(floats) >= 2:
return float(floats[0]), float(floats[1])
else:
return None
def calculate_distance(coord1, coord2):
distance = geodesic([coord2[1], coord2[0]], [coord1[1], coord1[0]]).meters
return distance
def trajectory_prediction(response, label, error_writer):
lon, lat = extract_floats(response)
distance = calculate_distance([lon, lat], label)
if distance>=100000:
error_writer.write("### response:{}, answer:{} ###\n".format(response, label))
return None
return distance
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