A library for getting perceptual hash values of images.
Thanks to Dr. Neal Krawetz for the outlines of the Mean (aHash), Gradient (dHash), and DCT (pHash) perceptual hash algorithms:
http://www.hackerfactor.com/blog/?/archives/432-Looks-Like-It.html (Accessed August 2014)
Also provides an implementation of the Blockhash.io algorithm.
This crate can operate directly on buffers from the PistonDevelopers/image crate.
Add img_hash to your Cargo.toml:
[dependencies.img_hash]
version = "3.0"
Example program:
extern crate image;
extern crate img_hash;
use img_hash::{HasherConfig, HashAlg};
fn main() {
let image1 = image::open("image1.png").unwrap();
let image2 = image::open("image2.png").unwrap();
let hasher = HasherConfig::new().to_hasher();
let hash1 = hasher.hash_image(&image1);
let hash2 = hasher.hash_image(&image2);
println!("Image1 hash: {}", hash1.to_base64());
println!("Image2 hash: {}", hash2.to_base64());
println!("Hamming Distance: {}", hash1.dist(&hash2));
}In order to build and test on Rust stable, the benchmarks have to be placed behind a feature gate. If you have Rust nightly installed and want to run benchmarks, use the following command:
cargo bench --features bench
Licensed under either of
- Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)
at your option.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.