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Imagehash Alternatives
Similar projects and alternatives to imagehash
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better imagehash alternative or higher similarity.
imagehash reviews and mentions
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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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.
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Fastest way to compute hash differences between two groups of image hashes?
I am using imagehash to generate image hashes for two groups of images. Group A has 6 images, group B has anywhere from 120 to 600 images.
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A note from our sponsor - WorkOS
workos.com | 23 Apr 2024
Stats
Basic imagehash repo stats
12
3,007
6.5
4 months ago
JohannesBuchner/imagehash is an open source project licensed under BSD 2-clause "Simplified" License which is an OSI approved license.
The primary programming language of imagehash is Python.
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