2017-07-28 10:18:24 -07:00
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[](https://travis-ci.org/corona10/goimagehash)
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[](https://godoc.org/github.com/corona10/goimagehash)
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2017-07-31 07:24:04 -07:00
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[](https://goreportcard.com/report/github.com/corona10/goimagehash)
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2018-04-01 00:55:03 -07:00
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[](https://coveralls.io/github/corona10/goimagehash)
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2017-07-28 10:18:24 -07:00
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2017-07-28 10:15:59 -07:00
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# goimagehash
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2017-07-28 10:18:24 -07:00
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> Inspired by [imagehash](https://github.com/JohannesBuchner/imagehash)
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A image hashing library written in Go. ImageHash supports:
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* [Average hashing](http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html)
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* [Difference hashing](http://www.hackerfactor.com/blog/index.php?/archives/529-Kind-of-Like-That.html)
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* [Perception hashing](http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html)
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2017-08-03 06:35:50 -07:00
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* [Wavelet hashing](https://fullstackml.com/wavelet-image-hash-in-python-3504fdd282b5) [TODO]
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2017-07-28 10:18:24 -07:00
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**Only support 64bits hash.**
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## Installation
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```
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go get github.com/corona10/goimagehash
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```
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## Special thanks to
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* [Haeun Kim](https://github.com/haeungun/)
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## Usage
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``` Go
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func main() {
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file1, _ := os.Open("sample1.jpg")
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file2, _ := os.Open("sample2.jpg")
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defer file1.Close()
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defer file2.Close()
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img1, _ := jpeg.Decode(file1)
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img2, _ := jpeg.Decode(file2)
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hash1, _ := goimagehash.AverageHash(img1)
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hash2, _ := goimagehash.AverageHash(img2)
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distance, _ := hash1.Distance(hash2)
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fmt.Printf("Distance between images: %v\n", distance)
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hash1, _ = goimagehash.DifferenceHash(img1)
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hash2, _ = goimagehash.DifferenceHash(img2)
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distance, _ = hash1.Distance(hash2)
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fmt.Printf("Distance between images: %v\n", distance)
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}
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```
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2018-05-08 17:37:49 -07:00
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## Release Note
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### v0.2.0
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- Perception Hash is updated.
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- Fix a critical bug of finding median value.
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### v0.1.0
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- Support Average hashing
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- Support Difference hashing
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- Support Perception hashing
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- Use bits.OnesCount64 for computing Hamming distance by @dominikh
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- Support hex serialization methods to ImageHash by @brunoro
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