How to compare two images in python

How to compare two images in python. Here is a simple idea you can adapt. imread) and calculate an element-wise (pixel-by-pixel) difference. I used this: W3Schools offers free online tutorials, references and exercises in all the major languages of the web. width, height — Width and height of the images. Write script. We then compute the MSE and SSIM between the two images. absdiff(img1, img2) #--- convert the result to integer type --- res = res. Code generated in the video can be downloaded from here: https://github. Nov 13, 2019 · thank you for your feedback, i am already using this method but it is taking 3-4 sec for complete process and i want to cut down time to 1-1. img -compose src delta. If the two images have the same size, I simply expect the two arrays to be identical. We now have the representation of the two images as a Numpy array. 9379929447852137} The most similar according to RMSE: {'dataset/tomato. 3) Fuzzy logic. png' img_bgr = cv2. astype(np. In the next section, you’ll learn about different types of images in the Python Pillow library. W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Before comparing all images resized to 20*20. This is because the rgb value of black is {0,0,0}. 2. Here, we’ll demonstrate a simple example using Jul 19, 2018 · Finding if two images are equal with Opencv, is a quite simple operation. We will use Pillow to create the image from bytes and then NumPy to confirm that both images are identical. Was unable to upload the code so have commented it. 0 Nov 2, 2016 · Okay, so I have 2 images: and . Feb 28, 2024 · The code defines a function mse() that takes two images, converts them to floating-point precision, subtracts them and squares the result, then sums all squared differences and finally normalizes by the number of pixels. 7OpenCVNumpyHaar Cascade Frontal face classifiers Approach/Algorithms used: This proje May 16, 2015 · I want to use Python and cv2 to compare 2 images, like below. ImageChops. from PIL import Image from PIL import ImageChops def are_equal(image_a: Image, image_b: Image) -> bool: diff = ImageChops. open(imagePath1) im2 = Image. These can be used for various purposes, including special effects, image compositions, algorithmic painting, and more. Comparing the two images. jpg') img_b = Image. open('a. We can find the similarity between two images using the compareHist() function of OpenCV. Let's call them A and B. The closer the score is to “1”, the more similar the images are (and are thus more likely to belong to the same class). Because the human eye is most sensitive to luma information, you can compute the PSNR for colour images by converting the image to a colour space that separates the intensity (luma) channel, such as YCbCr. dev0 docs) and if you find a match at a lower resolution try matching at the same relative location (with a range to cover the guassian blur) in a higher resolution Feb 14, 2022 · PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. io. py │ └───img 1. imread('cat. more, more, more, more, more, more, more; Also, I stumbled upon these implementations which have such functions to obtain a fingerprint: pHash Aug 23, 2023 · To compare two images, we use the Mean Square Error (MSE) of the pixel values of the two images. Question 1: The post shows ways to compare 2 pictures/images. The Siamese network will receive each of the triplet images as an input, generate the embeddings, and output the distance between the anchor and the positive embedding, as well as the distance between the anchor and the negative embedding. png like in the following example. compareHist() function accepts three input arguments- hist1, hist2, and compare_method. compareHist() function. imread('dog. jpg') img_a_pixels = img_a. jpeg')) cutoff = 5 # maximum bits that could be different between the hashes. misc. Similarity score. . Download Python source code: plot_image_comparison. Use the compareHist() Function of OpenCV to Compare Images. Oct 1, 2021 · OpenCV is a Library which is used to carry out image processing using programming languages like python. jpg', 0) img2 = cv2. In Python, I'm doing: import numpy as np, cv img1 = cv. difference(im1, im2) This works in my case for flagging any changes introduced due to code changes. g. image2 second image. Examples: Create a few small PDF pages with minor differences in them. resize(img2. 294915655210346} Jun 11, 2018 · Which is the best way to compare two images from same domain, different features in python. Using the compare_ssim method of the measure module of Skimage. The cv2. Jun 19, 2017 · Learn how to compare two images by computing image differences and highlighting the differences between the images using OpenCV and Python. 9639027981846681. The hist1 and hist2 are histograms of the two input images and compare_method is a metric to compute the matching between the MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching. jpg. open(path_one) image_two = Image. I want to get the SSIM when comparing two images in python. Then I use Image from PIL and imagehash to compare the hashes of the images before deleting the files. open('im2. Typically, two images will not be exactly the same. calculate the difference Jan 3, 2023 · Prerequisites: Python OpenCV Suppose we have two data images and a test image. I have used histogram comparison method. General idea. ima Buy the full source code of application here:https://procodestore. open('quora_photo. Using this Visual image comparison# The diff method computes the absolute difference between the two images. Detecteting Shapes can be easy tackled using the OpenCV library available. The mse function takes three arguments: imageA and imageB, which are the two images we are going to compare, and then the title of our figure. templates') listOfImages = [] for elem in files: imagea = scipy. jpg') Converting to gray Oct 17, 2017 · I am learning to compare two images/pictures. array(img_b_pixels) # compare the difference difference = (img_a Nov 9, 2018 · I tried comparing two images using diff function in OpenCV Python, but I am not able to compare one image with the images stored in my test folder. Is there a better way of doing this? Here's my current Mar 23, 2022 · img1, img2 — RGBA Image data of the images to compare. Here Mar 22, 2022 · Here's a working example to compare one image to another. Sep 5, 2023 · By comparing the histograms of two images, you can measure their similarity. open(path_two) try: diff = ImageChops. I would say that both the green apple and the tomato look like the red apple. Dec 2, 2022 · How to compare histograms of two images using OpenCV Python - The histograms of two images can be compared using cv2. For Oct 11, 2013 · Here is a start as some pseudo code. On lines 20 and 21 we find the keypoints and descriptors of the original image and of the image to compare. Jul 29, 2017 · Compare two images in python. Nov 20, 2014 · compare -metric phash reference. jpg': 0. Dec 15, 2016 · I am using the PIL to take an image with a black background and make a mask out of it. path. Specifically, examine the OpenCV Chi-Squared results versus my custom Chi-Squared function — the Doge image with noise added is now in the third result position rather than the fourth. Comparing and verifying Images in Selenium. 19. I need to take images from two different folders and compare that images if they are same or not. tif--pred_img_path = b. Dec 7, 2020 · Figure 1: Using siamese networks to compare two images for similarity results in a similarity score. Jun 26, 2018 · You can use ImageChops. With equal file size, you can then compare the image contents. Mar 11, 2016 · I'm looking for an algorithm to compare two images (I work with python). Importing library . Importing library import cv2 Importing image data image = cv2. Code Sep 25, 2019 · # This module is used to load images from PIL import Image # This module contains a number of arithmetical image operations from PIL import ImageChops def image_pixel_differences(base_image, compare_image): """ Calculates the bounding box of the non-zero regions in the image. difference(image_one, image_two) if Jul 17, 2019 · This tutorial will work on any platform where Python works (Ubuntu/Windows/Mac). that's ok but I don't know what I have to do with the two images to say "yes they're similar // they're probably similar // they don't match". jpg': 58. metrics. difference (image1, image2) Parameters: image1 first image. Help if anyone knows. Jul 9, 2018 · I generated a texture image like this I have to compare two textures. Apr 6, 2019 · For example, suppose you are comparing images A and B and both have shape 50x50 (therefore, the images have 2500 pixels); values close to 2500 mean the images are completely different. It receives as arguments: X, Y: ndarray Another possible case is where in one image the text can be italic / underline and in the second image not. open('im1. I currently a python script which generates two images using the imshow method in matplotlib. Histogram or Image quality functions ? I have two images for different scenes, the contents inside the images are different, but both of the images are taken during morning. This method computes the mean structural similarity index between two images. Note that all three images need to have the same dimensions. join(Images1, img)) for img in ls_imgs1_path] ls_imgs2 = [cv2. In our case, the signal is an image. SIFT_create() kp_1, desc_1 = sift. jpg', 0) #--- take the absolute difference of the images --- res = cv2. E:\code>tree /f Folder PATH listing for volume New Volume Volume serial number is 8609-E59D E:. and you do so by calculating the MSE which tells you "how different/similar is the second image to the first one" Convert the diff image to greyscale; Sum up all diff pixels by summing up their histogram values; Calculate a percentage based on a black and white image of the same size; Check the tests to see example diffs for different scenarios. com/bnsreenu/py If you're looking for exact duplicates of a particular image: load this image into memory, then loop over your image collection; skip any file that doesn't have the same size; compare the contents of the files that have the same size, stopping at the first difference. tif Note that images that are used for evaluation should be Mar 25, 2021 · Setting up the Siamese Network model. Next, to import OpenCV library we will use library named cv2. ) on Nov 17, 2010 · Image fingerprint to compare similarity of many images; Near-Duplicate Image Detection; OpenCV: Fingerprint Image and Compare Against Database. We then read the two images, apply our MSE function, and the output is the Mean Squared Error between the images. open('b. Code: img1 = cv2. I find the PIL library, numpy/scipy and opencv. If the resulting image is completely black, the images you extracted are exactly the same. from PIL import Image import imagehash hash0 = imagehash. jpg E:\code> From the tree, we know I have one script file named comparing_two_images. We are going to see in this tutorial, how starting from the features of the two images we can define a percentage of similarity from 0 to 100, where 0 it means they’re completely different, while 100 they are equal, even if they have Feb 3, 2023 · Generally speaking, there are two common ways to detect if a pair of images are similar: 1) by comparing perceptual hashes or 2) by using deep learning AI to distinguish differences. To make the comparison any of digital data. image_file = 'output_ori. In this article, I am going to take you to how to compare two images and get an accuracy level between those images using Python, OpenCV and Face Recognition modules. detectAndCompute(image_to_compare, None) Nov 28, 2013 · So, in your case you can consider one image as the reference image and the second image as the image whose pixel values you would like to compare with the first one. Calculate distance between feature vectors rather than images. Calculate some feature vector for each of them (like a histogram). output — Image data to write the diff to, or None if don't need a diff image. I know how to transform in greyscale, binary, make an histogram, . For this example, I want to compare two similar paragraphs so I’ll use the first paragraph of the “Bee” Wikipedia page and the first line from Bee Movie. png", ] but you neet the full path in order to load them correctly. Detecting Shapes. # 2) Check for similarities between the 2 images sift = cv2. darker(image1, image2) Parameters: image1: It is the image object or image path of first image. The name of the folder with the golden expectations starts with the name of your test file: May 16, 2015 · PIL does have some handy image manipulation methods, but also a lot of shortcomings when one wants to start doing serious image processing - Most Python lterature will recomend you to switch to use NumPy over your pixel data, wich will give you full control - Other imaging libraries such as leptonica, gegl and vips all have Python bindings and a range of nice function for image composition Nov 26, 2021 · I’m trying to compare two images and return a score based on how similar the second image is to the original. Let’s check the outcome according to the math: The most similar according to SSIM: {'dataset/green_apple. how to compare two images in python. Calculate the norm of the difference. Image. We need an image to use as a reference because the matplotlib example generates the graph each time the example is run. size, Image. difference(image_a, image_b) channels = diff. You can now change the size and orientation of an image. Different approaches exist for computing the PSNR of a colour image. We can compare both images by subtracting both arrays and get the mean. But is it possible to compare these two images. There are 2 fundamental elements to consider: The images have both the same size and channels; Each pixel has the same value; We’re going first to load the images. I will not using any of that algorithm. Now suppose you are comparing images C and D and both have shape 1000x1000, in this case, values like 2500 would mean the images are similar. Pretty straight forward I can do below and save a picture showing the difference: Oct 16, 2018 · Now you could use the sum and calculate ratios to extreme cases like black and white images. May 25, 2021 · I have a setting where I want to compare two images' URLs found in a website and I want to find out if they contain the same image, regardless of the image size. imread(os. What I want the program to do is iterate through all the pixels in the image and if the pixel is black make it white and if it is any other color make it black, but I am not sure how to appropriately compare pixel values to determine what to do with the pixel. So, we will try to do that in a little activity now. uint8) #--- find percentage difference based on the number of pixels that The above program will successfully compare the two images and print the corresponding result. ANTIALIAS). Let’s find out which data image is more similar to the test image using python and OpenCV library in Python. Can someone tell me how can I ignore the white color and compare the actual fruit. So, I watched several videos on how to do this, but nothing seems to return the correct answer because the closer the second image to the first one is, the lower the score gets. Take a second to compare Figure 4 to Figure 2 above. Two test input images with slight differences: Results. Then, you can compare the two images, but after rescaling to the same size! Or pixel counts will have to be somehow normalized. png') im2= Image. Difference masks. Let’s try this out in python — first, we’ll need to load our text data and use sklearn’s Text CountVectorizer to create this vector. Let's first load the image and find out the histogram of images. Salt-and-pepper: It is found only in grayscale images (blac Mar 14, 2018 · I would like to compare 2 binary images and want to display the true positive, false positive and false negative visually from the two images ref. computer-vision deep-learning ubuntu viewer parallel python3 image-viewer windows10 image-comparison image-stitching opencas picture-viewer multiple-imageview multiple-images multiple-image-comparison May 4, 2011 · @Kyle Schmidt, comparing images is wrong because image is not state, you may have 10 images in animation for same state, or same image in two states with different text, but more importantly it is better to compare simple objects whose comparison you can predict, otherwise you can have two images which looks same but are not == identical Jul 9, 2018 · I generated a texture image like this I have to compare two textures. split() for channel in channels: if channel. Jul 4, 2022 · I am using OpenCV, so using that would be good. how to find the difference between two images in python. Mar 18, 2024 · The final step is to match the descriptors of the two images. Mar 3, 2013 · I need some help in trying to figure out something. Let's find out which data image is more similar to the test image using python and OpenCV library in Python. But always ensure the images being compared are of the same shape. Noise: Noise means random disturbance in a signal in a computer version. If the images are identical, all pixels in the difference image are zero, and the bounding box function returns None. We will use function below to compare. join(Images2, img)) for img in ls_imgs2_path] the reason for that is, that the lists "ls_imgs1_path" look like this: ["img1. Highlighted differences. img similar. But you can't just hash them any old way Regular cryptographic hashing like md5 or sha-1 won't work for this, because if the images are slightly different, by even a couple of pixels, it will result in a completely different hash . 3. def compare_images(path_one, path_two): """ compare images :param path_one: first image :param path_two: second image :return: same is True, otherwise is False """ image_one = Image. My current work around is to use OpenCV to first open the images, then gray scale the images, then blur them, then write them back to files. LoadImage(fn1, 0) img2 = cv. append(imagea) #read input/test imagea targetImage = scipy. Following are the requirements for it:- Python 2. Feb 6, 2020 · In this article, we are going to see how to add a "salt and pepper" noise to an image with Python. However, my problem is how to detect if they are the same image when the size is different? Feb 7, 2022 · Image by Edpresso Team on Educative. com/index. imread(elem) listOfImages. Now you proceed to the comparison using for, example, the metrics described at Comparing image in url to image in filesystem in python. Jun 21, 2021 · In this section of the code, we first convert the images into grayscale that help in making and applying different types of operations on the images really easy and then we apply morphological operation (Morphological Operations is a broad set of image processing operations that can process digital images based on their shapes and sizes. You can expand it to compare multiple at once. jpg')) hash1 = imagehash. It is now ready to be added to the repository. image = cv2. 012483303} The most similar according to SRE: {'dataset/tomato. If you ever use any online image comparison tool you may wondering how did they do that? In this tutorial I will show you using the Pillow library we can wri If you happen to also want a quantitative similarity score between the two images, here's a method using the skimage. Jan 3, 2023 · Prerequisites: Python OpenCVSuppose we have two data images and a test image. Don't expect the diff of two jpg images be the same for the same images converted to png. Feb 24, 2021 · In this article, we will discuss how to spot differences between two given images using python. Mar 17, 2020 · Your code performs a per pixel comparison at every position in the original image. png') def compare(im1, im2): #blah blah blah Basically the 2 images are practically the same but 1 is larger and the other is smaller, so one has more pixels and the other has less pixels. Each pixel can be represented by one or more With respect to mean squared error, the Jaccard index lies always in the range [0,1], thus allowing for comparisons among different image sizes. difference () method in Pillow module. Using these You can use the imagehash library to compare similar images. Assumptions are: Font size is the same for the two images; Font size can be small and large - from 8px to 30px; Images have the same size; Here are 2 examples of images containing the same text, rendered a bit differently: Sep 29, 2011 · I'm trying to use OpenCV 2. 1 to combine two images into one, with the two images placed adjacent to each other. open('twitter_photo. Comparing images in color space will also resist things such as rotation, scaling, and some cropping. The closer it is to 0, the more similar are the two images compared. Option 1: Use ImageChops module and it contains a number of arithmetical image operations, called channel operations (“chops”). Jul 20, 2018 · On line 19 we load the sift algorithm. threshold — Matching threshold, ranges from 0 to 1 Apr 18, 2015 · If two images have highly similar color distributions, then you can be reasonably sure that they show the same thing. imread(targetImageName) Apr 29, 2021 · This code uses these images to make a histogram comparison. I want to compare how much these two images are related to each other ?, like my May 14, 2014 · Then define the compare_images function which we’ll use to compare two images using both MSE and SSIM. Feb 13, 2024 · This will display the difference between the two images as a grayscale image. load() # transform them into numpy array img_a_array = np. Let’s first load the image and find out the histogram of images. Load 7 more related questions Show fewer related questions Sorted by: Reset to Apr 25, 2021 · ImageChops. imread('test. array(img_a_pixels) img_b_array = np. Similar images will have less mean square error value. With compression, it is highly unlikely for two different image files to have the same size to the accuracy of the number of bytes. Image similarity 0. In order to perform this task, we will be using the ImageChops. Then I want to print out as same or different. The result is supposed to be a new image of the same size. Dec 4, 2017 · Detecting and Comparing Shapes between two images can be broken into two parts. An image is a two-dimensional array of pixels, where each pixel corresponds to a color. img for visualization, return a numeric value that indicates the "difference" between two images. One way to decrease the running time, is to scale the input images and the patch, say using image pyramids (Build image pyramids — skimage v0. 5 sec, for that i found open-face model takes less time to make encodings but then for comparing embedding generated by open-face model are not giving accurate results, so I am trying to find other ways to compare them Jan 10, 2021 · ah sorry - the lines with the list comprehensions should look like this: ls_imgs1 = [cv2. open(imagePath2) imDiff = ImageChops. Option 2: Load both images. Jul 14, 2014 · Figure 4: Applying my custom Chi-Squared function to compare histograms. This. img This will, besides creating the delta. They may have variations with slightly different backgrounds, dimensions, feature additions/subtractions, or transformations (scaled, rotated, skewed). The photo has a lot more objects in it than the render-image. php/product/python-3-script-to-compare-two-images-for-similarity-or-equality-usin Oct 13, 2020 · We will write a function to compare two images. The scikit-image library in Python offers an SSIM implementation. im1 = Image. The following code was found here. In conclusion, comparing two images in Python can be done using various techniques, and the MSE technique is a simple May 23, 2013 · I need a function which compares two PIL images of the same size. detectAndCompute(original, None) kp_2, desc_2 = sift. Jan 8, 2016 · You can compare the size of two image files as the first level of check for reduced computational complexity. Probably the easiest way is: Apr 1, 2015 · I would like to create a program that compares two images. See the code, equations, and examples for each method and their advantages and disadvantages. 7 + Windows) c:\Original. Random disturbance in the brightness and color of an image is called Image noise. I would strongly recommend getting numpy/scipy to help with this. I found the post Compare two images the python/linux way is very useful and I have some questions regarding the technique. structural_similarity function from scikit-image which returns a score and a diff image. Numpy. Oct 11, 2011 · The algorithm has to compare the two images and return a number, that describes the similarity. To evaluate the similarity beteween two images, run on the commandline: image-similarity-measures--org_img_path = a. 2. getbbox() is not None: return False return True Aug 18, 2021 · The most common application comes when comparing a regenerated or reconstructed image with its original, clean version. imread(image_file) height, width, channe Jan 12, 2021 · Comparing images using using SIFT/ORB key point descriptors and SSIM. To compare two images i and j, resize the largest of them to the dimensions of the other one using 3-lobed lanczos, which is conveniently available in PIL by doing img1. Feb 2, 2024 · The similarity has decreased due to the red color in one image. py. difference in combination with getbbox:. You may vary MAX_DISTANCE (from 0 to 400) and script will group more or less similar images to one group. My task is to find the correlation between these two images, or in other words the similarity between the two images. png and extracted. Normally in selenium automation, we can come across such scenarios where we have to compare an image with a screenshot taken at the time of test execution. GANs have been famously denoising and cleaning images quite well recently — and these metrics can be used to measure how well the model has actually reconstructed the image beyond just visual observation. The logic to compare the images will be the following one. So how can I compare one input image with my test Mar 18, 2020 · Converting each page to an image using ghostsript ; Diffing each page against page image of standard pdf, using PIL; e. Importing image data . 2 Import Images. 0. Jun 21, 2021 · In this article, we are going to use the OpenCV package and use it to compare two images and highlight differences using Python. May 4, 2021 · + Image by Sergey Nemo from Pixabay. (Python 2. glob('*. You could move away from the idea of comparing index to index, but sliding a window over each image and compare the sets that are shown in the windows. Both images are the same size and both use the jet colormap. Oct 28, 2022 · Hai everyone👋🏻. For example file 1 will have image1 and image 2 and image 3 , etc then file 2 will have image1,image2 and image3 etc . Jun 23, 2010 · Script summarize these distances between pairs of pixels and divide this sum into maximum possible distance - this way script gets the procent of similarity of two images. Feb 7, 2018 · I can understand that these two are two different images names that's why always the else block is working. Note: image dimensions must be equal. Bands and Modes of an Image in the Python Pillow Library. difference() function creates a new image for you by subtracting the two images pixel by pixel from each other. My approach is little different but using the same concept with that. I need to do this python. jpg') Jul 18, 2012 · Method #2: Dense Vector Representations. png", "img2. My idea is to have image 1 as the original image that will be used to compare the other images with. Comparing Shapes. If the amount of similar descriptors is above a certain threshold, then it means that the two images depict the same object and are considered similar. If a pixels is the same in both A and B it's su Mar 27, 2020 · To compare two images to see how similar they are, you can hash the images and compare the hashes. Compare two images. c:\Edited. average_hash(Image. getbbox() function calculates bounding boxes of non-zero regions in the image. Syntax: ImageChops. py and one directory with an IMG named 1. Dec 26, 2021 · In this tutorial you will learn1. Aug 21, 2020 · Optional: For reading TIFF images with rasterio instead of OpenCV, install: pip install image-similarity-measures [rasterio] Usage on commandline. darker() method is used to compare two images pixel by pixel, and returns a new image containing the darker values. At least, you can have enough certainty to flag it, or do more testing. Let's say the lower the number is, the better the images fit together. The result was impressive with a 0. import cv2. This method is only useful if the two images have the same size and orientation; otherwise, this method is not useful. from PIL import Image import numpy as np # import the image as pixels img_a = Image. In this stories I want to share about how to comparing two images using OpenCV Python. Option 1: Load both images as arrays (scipy. 99 %, however I think that the result resulted in 99% because of the background color. #read the input image: files = glob. imread(image_file) height, width, channe Mar 5, 2021 · Computing PSNR for Color Images. Sep 15, 2014 · Learn how to use Python to compare two images using Mean Squared Error (MSE) and Structural Similarity Index (SSIM) algorithms. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. from PIL import Image, ImageChops im1 = Image. │ comparing_two_images. The red hat version will serve as our ‘expected’ image (ie the correct one) while the blue hat version will be our ‘actual’ image that we need to test to see if it meets our expectations of what Red should look like: Jul 25, 2021 · Digital image can be duplicated nor being edited, so there is a person invented hash algorithm. and I want to compare them. To do this, we iteratively compare the descriptors of the images to discover pairs of descriptors that are similar. If both images are the same, then the result of the subtraction will be an array filled with zeros, and the mean returned should be 0. Jul 20, 2018 · While in the previous tutorial we learnt to detect if there are similarities between two images, but what if we would like to know how similar they are?. This method took a bunch of screenshots until two consecutive screenshots matched, and saved the last screenshot to file system. We will use two images of Red from Generation I of Pokémon for this tutorial, one with a red hat and one with a blue one. The quickest way to determine if two images have exactly the same contents is to get the difference between the two images, and then calculate the bounding box of the non-zero regions in this image. load() img_b_pixels = img_b. This project utilizes OpenCV Library to make a Real-Time Face Detection using your webcam as a primary camera. xfeatures2d. Pillow. Dec 5, 2021 · You can use numpy to compare the pixel array of two images. Contents of two images where there is some difference between the two. Both images are represented as binary images which only contain the contours / edges of the real render-image / photo. Conversely, the closer the score is to “0”, the less similar the two images are. ujdvkr kfyah xoymqtfb umxbd kbh sfj ttkze rzdthvo dkjolz kkase