Comparing images or movies
This revision is from 2024/02/09 15:36. You can Restore it.
With Python, comparing image using Structural Similarity Index (SSIM) or using a perceptual hashing algorithm like pHash.
pip install scikit-image opencv-python pip install python-phashComparing Images using SSIM (Structural Similarity Index):
import cv2 import numpy as np from skimage import measure # Load images img1 = cv2.imread('image1.jpg', 0) # grayscale img2 = cv2.imread('image2.jpg', 0) # grayscale # Ensure both images have the same dimensions assert img1.shape == img2.shape, "Images must have the same dimensions" # Compute SSIM ssim = measure.compare_ssim(img1, img2) print("SSIM:", ssim)Comparing Images using pHash (Perceptual Hashing):
import phash # Load images img1 = cv2.imread('image1.jpg') img2 = cv2.imread('image2.jpg') # Compute pHash hash1 = phash.dct_image_hash(img1) hash2 = phash.dct_image_hash(img2) # Compare hashes distance = hamming_distance(hash1, hash2) print("Hamming Distance:", distance)