https://github.com/nikvoronin/we-aint-same
Let's find out duplicate images with Perceptual Hashing algorithms
https://github.com/nikvoronin/we-aint-same
csharp dotnet image-duplicate-detection image-processing imagesharp perceptual-hash perceptual-hashes perceptual-hashing
Last synced: 6 months ago
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Let's find out duplicate images with Perceptual Hashing algorithms
- Host: GitHub
- URL: https://github.com/nikvoronin/we-aint-same
- Owner: nikvoronin
- License: mit
- Created: 2022-12-03T16:37:01.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-08-02T06:47:00.000Z (about 1 year ago)
- Last Synced: 2025-02-06T07:11:56.898Z (8 months ago)
- Topics: csharp, dotnet, image-duplicate-detection, image-processing, imagesharp, perceptual-hash, perceptual-hashes, perceptual-hashing
- Language: C#
- Homepage:
- Size: 19.5 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# We Ain't Same
Let's find out duplicate images with **Perceptual Hashing** algorithms.
- Calculate perceptual hashes using `ImageHash` library.
- Store and restore precalculated hashes.
- Recursive seeking of image files.
- Detect duplicates.
- Organize images into the groups of duplicates.
## Performance
1186 jpeg files in total. Release configuration.
- 17.2 sec to pre-compute hashes.
- 0.11 sec to search among pre-hashed images.
## Example
Output log:
```plain
+++ Computing hashes...
+ C:\Users\Pictures\Samples2\bing20221129.jpg
+ C:\Users\Pictures\Samples2\fireworks.jpg
+ C:\Users\Pictures\Samples2\mars.jpg
+ C:\Users\Pictures\Samples2\mount-copy.jpg
+ C:\Users\Pictures\Samples2\mount-rotated-2degree.jpg
+ C:\Users\Pictures\Samples2\mount-small.jpg
+ C:\Users\Pictures\Samples2\mountains.jpg
+++ Chasing duplicates...
+++ Similarity: max= 100% / min= 43,75%
+++ Duplicate Groups (1):
Group #0
mount-copy.jpg
mount-rotated-2degree.jpg
mount-small.jpg
mountains.jpg
+++ TOTAL: 00:00:00.8170144
```
Precalculated hashes as JSON file:
```json
[
{
"Path": "C:\\Users\\Pictures\\Samples2\\bing20221129.jpg",
"Hash": 11695141823225099355
},
{
"Path": "C:\\Users\\Pictures\\Samples2\\fireworks.jpg",
"Hash": 10721035060630703339
},
// ...
]
```
## Links
- [ImageHash](https://github.com/coenm/ImageHash) is a .NET Standard library containing multiple algorithms to calculate perceptual hashes of images and to calculate similarity using those hashes.
- [ImageSharp](https://github.com/SixLabors/ImageSharp) is used inside of `ImageHash`.
- [Detection of Duplicate Images Using Image Hash Functions.](https://towardsdatascience.com/detection-of-duplicate-images-using-image-hash-functions-4d9c53f04a75) Automate the search for (near-)identical photos with the Python library undouble.