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uebergangsparameter.py
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uebergangsparameter.py
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from random import randint
import cv2
import math
import numpy as np
print("x"*50 + "\nHu-Moment-Test\n" + "x"*50 + "\n")
#Funktionsdefinitionen
def invert_image(img):
return (255-img)
def add_images(img1, img2):
temp = invert_image(img1) + invert_image(img2)
return invert_image(temp)
def add_images4(img1, img2, img3, img4):
temp = invert_image(img1) + invert_image(img2) + invert_image(img3) + invert_image(img4)
return invert_image(temp)
def translate(img, x, y):
rows, cols = img.shape
M = np.float32([[1,0,x], [0,1,y]])
img = cv2.warpAffine(img, M, (cols,rows), borderMode = cv2.BORDER_REPLICATE)
return img
def rotate(img, winkel):
rows, cols = img.shape
# Argumente: Center, Angle, Scale
M = cv2.getRotationMatrix2D((cols/2,rows/2),winkel,1)
img = cv2.warpAffine(img, M, (cols,rows), borderMode = cv2.BORDER_REPLICATE)
return img
# Generate Scene
def generateScene():
line_styles = ["dreieck", "ellipse", "gerade", "rechteck"]
orientierung = ["links", "oben", "rechts", "unten"]
path0 = ["", "", "", ""]
path1 = ["", "", "", ""]
for num in range(4):
path0[num] = "Kanten/" + "kante_" + orientierung[num] + "_" + line_styles[randint(0, 3)] + ".png"
for num in range(4):
path1[num] = "Kanten/" + "kante_" + orientierung[num] + "_" + line_styles[randint(0, 3)] + ".png"
path1[1] = path0[3]
img0 = []
img1 = []
for num in range(4):
img0.append(cv2.imread(path0[num], 0))
img1.append(cv2.imread(path1[num], 0))
img1[1] = translate(img1[1], 0, -100)
obj0 = add_images4(img0[0], img0[1], img0[2], img0[3])
obj1 = add_images4(img1[0], img1[1], img1[2], img1[3])
obj1 = translate(obj1, 0, 100)
return add_images(obj0,obj1)
def get_huMoments(img, name):
# Hu-Momente
moments = cv2.moments(img, False)
huMoments = cv2.HuMoments(moments)
# log Transformation
for i in range(0,7):
huMoments[i] = -1* math.copysign(1.0, huMoments[i]) * math.log10(abs(huMoments[i]))
print()
print("HuMoments (log corrected) from "+ name +": {}".format(huMoments))
return huMoments
def get_matchShapes(img0, img1, name0, name1, id):
# MatchShapes
contours_match = [0, 0, 0]
contours_match[0] = cv2.matchShapes(img0, img1, cv2.CONTOURS_MATCH_I1, 0)
contours_match[1] = cv2.matchShapes(img0, img1, cv2.CONTOURS_MATCH_I2, 0)
contours_match[2] = cv2.matchShapes(img0, img1, cv2.CONTOURS_MATCH_I3, 0)
print("\n"+id + ".ContoursMatch of "+ name0 +" and "+ name1 +": {}".format(contours_match))
return contours_match
def fillContour(img):
# Threshold.
# Set values equal to or above 220 to 0.
# Set values below 220 to 255.
th, im_th = cv2.threshold(img, 220, 255, cv2.THRESH_BINARY_INV);
# Copy the thresholded image.
im_floodfill = im_th.copy()
# Mask used to flood filling.
# Notice the size needs to be 2 pixels than the image.
h, w = im_th.shape[:2]
mask = np.zeros((h+2, w+2), np.uint8)
# Floodfill from point (0, 0)
cv2.floodFill(im_floodfill, mask, (0,0), 255);
# Invert floodfilled image
im_floodfill_inv = cv2.bitwise_not(im_floodfill)
# Combine the two images to get the foreground.
img_out = im_th | im_floodfill_inv
return invert_image(img_out)
#Ausführbereich
testNumber = int(input("Wie viele Szenen sollen für den Übergangsparameter generiert und getestet werden? "))
j = 0
uebergangsParamaterListe = []
while(j<testNumber):
i = 0
check = 0
value0 = 0
value1 = 0
value2 = 0
uebergangsParamater = [value0, value1, value2]
uebergangsId = [0,0,0]
scene = generateScene()
kernel = np.ones((5,5),np.uint8)
scene_out = cv2.erode(scene,kernel,iterations = 1)
scene_out = fillContour(scene_out)
output1 = rotate(scene_out, randint(0, 360))
output1 = translate(output1, randint(-150, 150), randint(-150, 150))
contoursMatch1 = get_matchShapes(invert_image(scene_out), invert_image(output1), "scene1", "output1", str(i+1))
while(uebergangsParamater[0] == 0 or uebergangsParamater[1] == 0 or uebergangsParamater[2] == 0):
scene2 = generateScene()
scene_out2 = cv2.erode(scene2,kernel,iterations = 1)
#cv2.imshow("Scene", scene_out)
scene_out2 = fillContour(scene_out2)
#cv2.imshow("Scene2", scene_out2)
#get_huMoments(scene_out, "scene_out")
#get_huMoments(output1, "output1")
check_old = check
contoursMatch2 = get_matchShapes(invert_image(output1), invert_image(scene_out2), "Output1", "scene2", str(i+1))
if contoursMatch1[0]<=contoursMatch2[0]:
if contoursMatch1[1]<=contoursMatch2[1]:
if contoursMatch1[2]<=contoursMatch2[2]:
check += 1
if(check_old == check):
if(contoursMatch1[0]>contoursMatch2[0]):
if(value0 < contoursMatch1[0]):
value0 = contoursMatch1[0]
uebergangsId[0] = i
if(contoursMatch1[1]>contoursMatch2[1]):
if(value1 < contoursMatch1[1]):
value1 = contoursMatch1[1]
uebergangsId[1] = i
if(contoursMatch1[2]>contoursMatch2[2]):
if(value2 < contoursMatch1[2]):
value2 = contoursMatch1[2]
uebergangsId[2] = i
uebergangsParamater = [value0, value1, value2]
cv2.imshow(str(i)+".scene1", scene_out)
cv2.imshow(str(i)+".output1", output1)
cv2.imshow(str(i)+".scene2", scene_out2)
i += 1
print(str(j+1) + ".Übergangsparameter: " + str(uebergangsParamater) + " ÜbergangsIds: " + str(uebergangsId))
uebergangsParamaterListe.append(uebergangsParamater)
j += 1
print("\nÜbergangsparameterliste" + ": {}".format(uebergangsParamaterListe))
n1List = []
n2List = []
n3List = []
for uebergangsParamaterTriple in uebergangsParamaterListe:
n1List.append(uebergangsParamaterTriple[0])
n2List.append(uebergangsParamaterTriple[1])
n3List.append(uebergangsParamaterTriple[2])
uebergangsParamater = [min(n1List), min(n2List), min(n3List)]
print("\nMinimaler Übergangsparameter: " + str(uebergangsParamater))
cv2.waitKey(0)
cv2.destroyAllWindows()