def __init__(self, filepath, platesize, platecolor_min, platecolor_max):
self.filename = filepath
self.plate_size = int(platesize) #plate square size in milimeter
self.imagesize = 3000
self.plate_color_min = platecolor_min
self.plate_color_max = platecolor_max
# initialization
self.image = image_functions()
self.camera = video_functions()
self.foreground = foreground_detector()
self.radius = radius_detector()
self.height = height_detector()
self.object_detection = object_detector()
self.filename_image = 'excel_files/SLUMP_data_image.xls'
self.filename_video = 'excel_files/SLUMP_data_video.xls'
self.ezxf = xlwt.easyxf
self.hdngs = [
' Time (s) ', ' edge distance from center point ',
' Diameter_ew (mm) ', ' radius_ns (mm) ',
' Height (mm) '
]
self.heading_xf = self.ezxf(
'font: bold on; align: wrap on, vert centre, horiz center')
self.data = []
def __init__(self):
self.image = image_functions()
#
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", help="path to the image file")
ap.add_argument("-v", "--video", help="path to the video file")
ap.add_argument("-ps",
"--platesize",
type=int,
default=1000,
help="plate size in milimeter")
args = vars(ap.parse_args())
#
################################################################################
#
# initialization
image = image_functions()
camera = video_functions()
foreground = foreground_detector()
radius = radius_detector()
object_detection = object_detector()
filename_image = 'excel_files/SCC_data_image.xls'
filename_video = 'excel_files/SCC_data_video.xls'
ezxf = xlwt.easyxf
hdngs = [
' Time (s) ', ' edge distance from center point ',
' Diameter_ew (mm) ', ' Diameter_ns (mm) '
]
heading_xf = ezxf('font: bold on; align: wrap on, vert centre, horiz center')
data = []
def __init__(self):
# initialize the first frame in the video stream
self.image = image_functions()
self.object_detection = object_detector()
self.entropy = Entropy()