How compare two images using sikuli in robotframework - robotframework

Question

am totaly new to the sikuli with robotframework. I have some want idea of click and action of the window based but i dont have the concept of compare the image using sikuli with robotframework. Can any one help me?

Answer 1

This is RaiMan from SikuliX.
I recommend to use
https://github.com/rainmanwy/robotframework-SikuliLibrary

Answer 2

I have developed a python script for image comparison, which gets two images to compare the images and write the difference.
You can use this as robot keyword for image comparison. Challenge is that you have to crop the image from desktop application. you can able to do this using robot framework sikuli library keyword crop region by providing x,y, width and height values
compare images.py
# importing the necessary packages
#from skimage.measure import compare_ssim
from skimage.metrics import structural_similarity
import argparse
import imutils
import cv2
import time
import logging
def Compare_Image(image1,image2,Original_image_path,Modified_image_path):
# Reading images
imageA = cv2.imread(image1)
imageB = cv2.imread(image2)
# convert the images to grayscale
grayA = cv2.cvtColor(imageA, cv2.COLOR_BGR2GRAY)
grayB = cv2.cvtColor(imageB, cv2.COLOR_BGR2GRAY)
#getting the structural similarity between the images
(score, diff) = structural_similarity(grayA, grayB, full=True)
diff = (diff * 255).astype("uint8")
print("SSIM: {}".format(score))
#Threshold differences
thresh = cv2.threshold(diff, 0, 255,
cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)
# loop over the contours
for c in cnts:
#Displaying Rectangles on image difference
(x, y, w, h) = cv2.boundingRect(c)
cv2.rectangle(imageA, (x, y), (x + w, y + h), (0, 0, 255), 2)
cv2.rectangle(imageB, (x, y), (x + w, y + h), (0, 0, 255), 2)
# show the output images
image1=cv2.imshow("Original", imageA)
image2=cv2.imshow("Modified", imageB)
cv2.imwrite(Original_image_path, imageA)
cv2.imwrite(Modified_image_path, imageB)
# cv2.imshow("Diff", diff)
# cv2.imshow("Thresh", thresh)
#cv2.waitKey(0)
#cv2.destroyAllWindows()
#Validating and Logging Image Results
if score==1.0:
print("Reference and Test images are same")
else:
print("Reference and Test images are different")
Sample.robot
* Setting *
Library compare_Images.py
* Test Cases *
Check_Image_Compare
Compare Image path_to_image1\\img1.png path_to_image2\\image2.png
path_to_saveorginalimage1\\orgimage.png path_to_savemodifiedimage\\modifiedimage.png
Log <img src="path_to_saveorginalimage1\\orgimage.png"> HTML
Log <img src="path_to_savemodifiedimage\\modifiedimage.png"> HTML
On executing the python script it will give two images (original image- image1 to compare Modified image- image2 to compare) which will be saved in specified location and logged as in robot file above.