log_list = []
i = 0
for file_name in results:
result = results[file_name]
if 'Yaw drastic change' in result:
j = 0
for event in result:
if len(result[event]) > 0:
j += 1
if j == 4:
i += 1
log_list.append(file_name)
print('found ' + str(i) + ' logs!')
for file_name, file in iterSegments(db, subcomponents, querytype='or'):
if file_name in log_list:
#if file_name == '':
print(file_name)
result = results[file_name]
for event in result:
if len(result[event]) == 0:
continue
#pass
signal = defined_events[event]['subcomponent']
if signal not in file:
continue
if file[signal].empty:
from CrashDiag.Preproc.SegDatabase import iterSegments, SegDatabase
from CrashDiag.Preproc.Segmentation import plot_segments
import matplotlib.pyplot as plt
from CrashDiag.Detection import label
seg_db = SegDatabase('Segments')
subcomponents = ['ATT_Yaw', 'ATT_ErrYaw', 'RCOU_Yaw', 'RCIN_C4']
for file_name, file in iterSegments(seg_db, subcomponents, querytype='and'):
print(file_name)
ATT_Yaw = label.change(file['ATT_Yaw'],
gradient=50,
height=200,
plot=False)
if label.no_targets(ATT_Yaw):
continue
RCOU_Yaw = label.higher_than(
file['RCOU_Yaw'], threshold=100,
plot=False) # Hier ebenfalls, evtl auf 100 oder sogar 150 erhöhen
if label.no_targets(RCOU_Yaw):
continue
ATT_ErrYaw = label.higher_than(
file['ATT_ErrYaw'], threshold=10, plot=False
) # Threshold muss viel höher sein. 10 oder so. Normaler error bis max 1 Grad denk ich
if label.no_targets(ATT_ErrYaw):
continue