A image hashing library written in Python. ImageHash supports:
average hashing (aHash)
perception hashing (pHash)
difference hashing (dHash)
wavelet hashing (wHash)
Requirements
Based on PIL/Pillow Image, numpy and scipy.fftpack (for pHash) Easy installation through pypi.
Basic usage
>>> from PIL import Image
>>> import imagehash
>>> hash = imagehash.average_hash(Image.open('test.png'))
>>> print(hash)
d879f8f89b1bbf
>>> otherhash = imagehash.average_hash(Image.open('other.bmp'))
>>> print(otherhash)
ffff3720200ffff
>>> print(hash == otherhash)
False
>>> print(hash - otherhash)
36
The demo script find_similar_images illustrates how to find similar images in a directory.
Source hosted at github: https://github.com/JohannesBuchner/imagehash
1 maintainer
Metadata
1 maintainer
Release files for ImageHash 2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ImageHash-2.0.tar.gz | 4.8 kB | Without provenance | Details |
Release files / ImageHash-2.0.tar.gz
| Download URL | ImageHash-2.0.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2db9630fc2b1f7a8a15a9a755f56442189d8a07ae01d57798f7330acd3c3f0da
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BLAKE2b-256 checksum How to use checksums |
89f622f776394cdd7dbb7985ab7a8c6e96516fceaca1746216524d677304bbf8
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for ImageHash 2.0
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