'Please specify a threshold value (enter 0 to find the threshold automatically) : '
))
len_dang_arcs = math.floor(100 / scale)
# Load the image into a cv2.imread() variable, in grey scale mode -----------------------
img = cv2.imread(name1, 0)
# ---------------------------------------------------------------------------------------
# Calculate the average width -----------------------------------------------------------
river = River(img, thresh, math.floor(interval_distance / scale),
0) # process the river image
skeleton = Skeleton(river, math.floor(len_dang_arcs / scale),
0) # find the skeleton, junctions and reaches
scan = Scan(river, skeleton,
l_r_error) # create a new Scan type object and run Compute() on it
scan.Compute()
l2_stream = scan.getAllStreamFromReach(
scan.l_reaches) # create a list of all the lists of stream points
scan.averageCalculation(
math.floor(interval_distance / scale), l2_stream
) # calculate the average width of the river (section by section also)
final_average_width = scan.average_width_river # store the average width into the variable - final_average_width
print(final_average_width * scale, " <- Average width of the river")
# ---------------------------------------------------------------------------------------
# Write the details to the text file ----------------------------------------------------
details = '---------- This file contains the details of the river image analysed ----------\n\n\n'
details += 'Threshold value used : ' + str(river.threshold_value) + '\n'
details += 'Scale value used : ' + str(scale) + '\n'
