if tracked_blobs_lane3:
# Prune out the blobs that haven't been seen in some amount of time
for i in range(len(tracked_blobs_lane3) - 1, -1, -1):
if frame_time - tracked_blobs_lane3[i][
'last_seen'] > BLOB_TRACK_TIMEOUT: # Deleta caso de timeout
print("Removing expired track {}".format(
tracked_blobs_lane3[i]['id']))
# prev_speed = ave_speed
# final_ave_speed = 0.0
del tracked_blobs_lane3[i]
# ################ PRINTA OS BLOBS ####################################
for blob in tracked_blobs: # Desenha os pontos centrais
if SHOW_TRAIL:
# t.print_trail(blob['trail'], frame)
t.print_trail(blob['trail'], frame_lane1)
for blob2 in tracked_blobs_lane2: # Desenha os pontos centrais
if SHOW_TRAIL:
# t.print_trail(blob2['trail'], frame)
t.print_trail(blob2['trail'], frame_lane2)
for blob3 in tracked_blobs_lane3: # Desenha os pontos centrais
if SHOW_TRAIL:
# t.print_trail(blob3['trail'], frame)
t.print_trail(blob3['trail'], frame_lane3)
if blob['speed'] and blob['speed'][0] != 0:
prev_len_speed.insert(0, len(blob['speed']))
# limpa prev_len_speed se estiver muito grande
# deixa no máx 20 valores
closest_blob['id'])] = dict(
ave_speed=round(ave_speed, 2),
speeds=closest_blob['speed'],
frame=frameCount,
real_speed=float(
dict_lane1['speed']),
abs_error=round(abs_error, 2),
per_error=round(per_error, 3),
trail=closest_blob['trail'],
car_id=closest_blob['id'])
except:
pass
abs_error = []
per_error = []
if SHOW_TRAIL:
t.print_trail(closest_blob['trail'],
frame)
if SHOW_FRAME_COUNT:
PERCE = str(
int((100 * frameCount) /
vehicle['videoframes']))
cv2.putText(
frame,
f'frame: {frameCount} {PERCE}%',
(r(14), r(1071)), 0, .65, t.WHITE,
2)
if SAVE_FRAME_F1:
cv2.imwrite(
'results/{}/imagens/faixa1/{}_{}_F{}_{}.png'
.format(DATE, VIDEO,
dict_lane3['frame_start'],
lane, closest_blob['id']),
