diagScreen, 'Road Horizon: %d Vanishing Point: %d' %
(imgFtr.roadhorizon, projMgr.lane_info[7][1]), (30, 180), font, 1,
(255, 255, 255), 2)
else:
cv2.putText(diagScreen, 'Road Horizon: NOT FOUND!', (30, 180), font, 1,
(255, 255, 0), 2)
cv2.putText(
diagScreen, 'Road Gradient: %d slope: %d' %
(projMgr.curGradient, projMgr.curGradient - projMgr.gradient0),
(30, 210), font, 1, (255, 255, 255), 2)
return diagScreen
def process_diagnostic_image(image):
global roadMgr
# NOTE: The output you return should be a color image (3 channel) for processing video below
# TODO: put your pipeline here,
# you should return the final output (image with lines are drawn on lanes)
result = diagnostic_process_image(image, roadMgr)
return result
camCal = CameraCal('camera_cal', 'camera_cal/calibrationdata.p')
roadMgr = RoadManager(camCal, debug=True)
videoout = 'project_video_diagnostics_test_filter18.mp4'
clip1 = VideoFileClip("project_video.mp4")
video_clip = clip1.fl_image(
process_diagnostic_image) #NOTE: this function expects color images!!
video_clip.write_videofile(videoout, audio=False)
font = cv2.FONT_HERSHEY_COMPLEX
cv2.putText(diagScreen, imgFtr.skyText, (30, 60), font, 1, (255, 255, 255),
2)
cv2.putText(diagScreen, imgFtr.skyImageQ, (30, 90), font, 1,
(255, 255, 255), 2)
cv2.putText(diagScreen, imgFtr.roadImageQ, (30, 120), font, 1,
(255, 255, 255), 2)
cv2.putText(diagScreen, 'Road Balance: %f' % (imgFtr.roadbalance),
(30, 150), font, 1, (255, 255, 255), 2)
return diagScreen
def process_diagnostic_image(image):
global combined
global camCal
# NOTE: The output you return should be a color image (3 channel) for processing video below
# TODO: put your pipeline here,
# you should return the final output (image with lines are drawn on lanes)
result = diagnostic_process_image(image, camCal)
return result
camCal = CameraCal('camera_cal', 'camera_cal/calibrationdata.p')
mtx, dist, imgSize = camCal.get()
videoout = 'project_video_diagnostics_test_filter3.mp4'
clip1 = VideoFileClip("project_video.mp4")
video_clip = clip1.fl_image(
process_diagnostic_image) #NOTE: this function expects color images!!
video_clip.write_videofile(videoout, audio=False)