if SHOW_ROI:
t.region_of_interest(frame, RESIZE_RATIO)
if SHOW_TRACKING_AREA: # Desenha os Limites da Área de Tracking
cv2.line(frame, (0, r(UPPER_LIMIT_TRACK)),
(WIDTH, r(UPPER_LIMIT_TRACK)), t.WHITE, 2)
cv2.line(frame, (0, r(BOTTOM_LIMIT_TRACK)),
(WIDTH, r(BOTTOM_LIMIT_TRACK)), t.WHITE, 2)
# Equalizar Contraste
clahe = cv2.createCLAHE(clipLimit=3.0, tileGridSize=(8, 8))
hist = clahe.apply(frameGray)
# cv2.imshow('img', np.vstack((frameGray,hist)))
frameGray = hist
frame_lane1 = t.perpective(frameGray, 1, RESIZE_RATIO)
frame_lane2 = t.perpective(frameGray, 2, RESIZE_RATIO)
frame_lane3 = t.perpective(frameGray, 3, RESIZE_RATIO)
frameGray = frame_lane1
if ret is True:
t.update_info_xml(frameCount, vehicle, dict_lane1, dict_lane2,
dict_lane3)
if SHOW_REAL_SPEEDS:
t.print_xml_values(frame, RESIZE_RATIO, dict_lane1, dict_lane2,
dict_lane3)
fgmask = bgsMOG.apply(frameGray, None, 0.01)
erodedmask = cv2.erode(fgmask, KERNEL_ERODE, iterations=1)
dilatedmask = cv2.dilate(erodedmask, KERNEL_DILATE, iterations=1)
if SHOW_ROI:
t.region_of_interest(frame, RESIZE_RATIO)
if SHOW_TRACKING_AREA: # Desenha os Limites da Área de Tracking
cv2.line(frame, (0, r(UPPER_LIMIT_TRACK)),
(WIDTH, r(UPPER_LIMIT_TRACK)), t.WHITE, 2)
cv2.line(frame, (0, r(BOTTOM_LIMIT_TRACK)),
(WIDTH, r(BOTTOM_LIMIT_TRACK)), t.WHITE, 2)
# Equalizar Contraste
clahe = cv2.createCLAHE(clipLimit=3.0, tileGridSize=(8, 8))
hist = clahe.apply(frameGray)
# cv2.imshow('img', np.vstack((frameGray,hist)))
frameGray = hist
im1Reg = t.perpective(frameGray, RESIZE_RATIO)
frameGray = im1Reg
if ret is True:
t.update_info_xml(frameCount, vehicle, dict_lane1, dict_lane2,
dict_lane3)
if SHOW_REAL_SPEEDS:
t.print_xml_values(frame, RESIZE_RATIO, dict_lane1, dict_lane2,
dict_lane3)
fgmask = bgsMOG.apply(frameGray, None, 0.01)
erodedmask = cv2.erode(fgmask, KERNEL_ERODE, iterations=1)
dilatedmask = cv2.dilate(erodedmask, KERNEL_DILATE, iterations=1)
_, contours, hierarchy = cv2.findContours(dilatedmask,
cv2.RETR_EXTERNAL,