scalable-image-matching

This is a image matching system for scalable and efficient matching of images from a large database. The basic idea is to compute perceptural hash value for each image and compare the similarity based on the pHash computed. Searching are scalable with the elasticsearch as the backend database.

elasticsearch

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20 Stars

5 Forks

20 Watchers

Python Language

mit License

Cost to Build

$58.8K

Market Value

$64.9K

How is this calculated?

Growth over time

1 data points · 2021-10-14 → 2021-10-14

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What is the James-QiuHaoran/scalable-image-matching GitHub project? Description: "This is a image matching system for scalable and efficient matching of images from a large database. The basic idea is to compute perceptural hash value for each image and compare the similarity based on the pHash computed. Searching are scalable with the elasticsearch as the backend database.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/James-QiuHaoran/scalable-image-matching.git

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