imagehash
A Python Perceptual Image Hashing Module (by JohannesBuchner)
simil-photo
Software to detect and delete similar images in a directory (by MarceAriel99)
imagehash | simil-photo | |
---|---|---|
13 | 1 | |
3,019 | 15 | |
- | - | |
6.5 | 5.0 | |
5 months ago | about 1 year ago | |
Python | Python | |
BSD 2-clause "Simplified" License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
imagehash
Posts with mentions or reviews of imagehash.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-05.
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AI Photo Geolocation
If you still have the original photos, maybe you can write a script to run both the originals and exports against a perceptual hash (so as to easily identify the correct original) and then just update the JPEG EXIF data of the exports without a re-report?
https://github.com/JohannesBuchner/imagehash
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Interesting problem trying to solve.
When an image is uploaded, generate its perceptual hash using an existing library like ImageHash (Python) or pHash (C++). You can find the ImageHash library here: https://github.com/JohannesBuchner/imagehash
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imagehash VS pyPhotoDNA - a user suggested alternative
2 projects | 10 Mar 2023
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I made a program to find and delete similar or identical images in Windows
My tool is based around the imagehash library which did a great job of weeding out the duplicates at first but has the tendency to report "similar" images. Which happens quite a lot for the 3,000+ landscape images I have :)
- Image Comparison
- Imagehash: Perceptual Image Hashing for Python
- Image Recognition tool to find a matching image
- How DeviantArt Aims to Clean Up the World of NFTs. The user-generated art website is launching a web-wide protocol designed to head off NFT piracy.
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Business case
If you're using Python there's a good library for perceptual hashing, you'll only have to write a few lines of code: https://github.com/JohannesBuchner/imagehash
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Thanks, I Hate This Cursed Situation
About the hashing. There are special image comparison hashing algorithms. These can still "recognize" an image. Even if 1 is a png and another a jpg with a different resolution. An example of that is https://github.com/JohannesBuchner/imagehash.
simil-photo
Posts with mentions or reviews of simil-photo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-07.
-
I made a program to find and delete similar or identical images in Windows
I made SimilPhoto to solve this.
What are some alternatives?
When comparing imagehash and simil-photo you can also consider the following projects:
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
keras - Deep Learning for humans [Moved to: https://github.com/keras-team/keras]
image-similarity - Image similarity detection using wavelet hashing algorithm
goimagehash - Go Perceptual image hashing package
Django - The Web framework for perfectionists with deadlines.
pyPhotoDNA - Calculate PhotoDNA hashes using Python
trace.moe - Anime Scene Search by Image
perception - Perceptual hashing tools for detecting child sexual abuse material
TheAlgorithms - All Algorithms implemented in Python
OpenCV - Open Source Computer Vision Library