imagededup
match
| imagededup | match | |
|---|---|---|
| 7 | 3 | |
| 4,951 | 1,240 | |
| 0.6% | 0.0% | |
| 1.5 | 1.8 | |
| 7 days ago | almost 4 years ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
imagededup
- Reverse Image Search Local Files? (NOT A DUPLICATE FINDER)
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Help checking for duplicate images with large number of images
imagededup
- Is there a software, that allows me to find all duplicates of ONE picture?
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fastest way to go about calculating hamming distance?
To generate the hashes I was just going to use https://github.com/idealo/imagededup as it has been effective in my testing. The issue is the scalability issue. That code even is able to find similar images, using distance hamming. But they didn't care about scalability, and that is now my biggest bottleneck.
- Find visual similar photos
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PowerShell skript for finding duplicate pictures
Which is why, it's much better to use a dedicated tool that can visually compare photos (using a neural net/machine learning model) to identify duplicate images. If you want a command-line tool for scripting purposes then check out imgdup2go or imagededup.
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How to remove duplicate images from your dataset (Also CIFAR-100 has issues)
I had used phash to find the duplicate images. The hashing algorithm is ingenious...And it was able to find duplicates (and thus remove) efficiently imagededub has perceptual hashing.
match
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Find visual similar photos
Not a full solution but imagematch is a widely adopted algorithm for this purpose. There’s even a very nice dockerized version
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Google Lens Alternative
https://github.com/dsys/match Try this.
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Reverse image search in my own local database?
https://github.com/dsys/match might be useful. You can upload all your images there and store path to the file on your local pc in the metadata.
What are some alternatives?
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
image-match - 🎇 Quickly search over billions of images
floc-simhash - A fast python implementation of the SimHash algorithm.
sysbindings - sysctl/sysfs settings on a fly for Kubernetes Cluster. No restarts are required for clusters and nodes.
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
fs-curator - Automation for the serious data hoarder that wants to have their data and use it
alipay - An Unofficial Alipay API for Python
kubernetes-workshop - ⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
kubernetes-management-ngrok-configuration - Build remotely your own cloud services behind NAT
Duplicate-Image-Finder - difPy - Python package for finding duplicate or similar images within folders
kubespawner - Kubernetes spawner for JupyterHub