imagehash_perceptual_hash_comparison_ahash_phash_dhash.py

1from PIL import Image
2import imagehash
3
4# Load images
5hash0 = imagehash.average_hash(Image.open('test.png'))
6hash1 = imagehash.average_hash(Image.open('other.png'))
7
8# Calculate difference (Hamming distance)
9cutoff = 5  # maximum bits that could be different between the hashes. 
10
11if hash0 - hash1 < cutoff:
12  print('images are similar')
13else:
14  print('images are not similar')
15
16# Print specific hash types
17print(imagehash.average_hash(Image.open('test.png')))
18print(imagehash.phash(Image.open('test.png')))
19print(imagehash.dhash(Image.open('test.png')))
20print(imagehash.whash(Image.open('test.png')))