image-match
match
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| image-match | match | |
|---|---|---|
| 5 | 3 | |
| 2,911 | 1,240 | |
| 0.0% | 0.0% | |
| 0.0 | 1.8 | |
| over 1 year ago | almost 4 years ago | |
| Python | Python | |
| - | 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.
image-match
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Find visual similar photos
Not a full solution but imagematch is a widely adopted algorithm for this purpose. Thereās even a very nice dockerized version
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Non-Machine Learning Image Matching with a Vector DB
I also developed a service based on the Goldberg paper in the mid 2010s. We flattened and discretized the signature to make it searchable which gave us pretty good results: https://github.com/ProvenanceLabs/image-match
Sorry I havenāt maintained the project in years so itās unlikely to work out of the box. But who knows, maybe youāll find something useful here for your project!
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Here is a demonstration of the new features for the tool I'm working on
There are libraries available online like this one that will compare between images and return the closest match.
- Quickly Search over Billions of Images
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How to find photo duplicates (not hash duplicates) and clean them?
https://github.com/ProvenanceLabs/image-match
match
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Find visual similar photos
Not a full solution but imagematch is a widely adopted algorithm for this purpose. Thereās 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?
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