imgdd 0.1.3

Performance-first perceptual hashing library; perfect for handling large datasets. Designed to quickly process nested folder structures, commonly found in image datasets
Documentation 
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[[bench]]
harness = false
name = "rust_benches"
path = "benches/rust_benches.rs"
required-features = ["benchmark"]

[dependencies.anyhow]
version = "1.0.95"

[dependencies.criterion]
optional = true
version = "0.5.1"

[dependencies.image]
version = "0.25.5"

[dependencies.imgddcore]
version = "0.1.3"

[dev-dependencies.tempfile]
version = "3.5"

[features]
benchmark = ["criterion"]
default = []
testing = []

[lib]
crate-type = ["rlib"]
name = "imgdd"
path = "src/lib.rs"

[package]
authors = ["Aaron Stopher <aaron.stopher@gmail.com>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["algorithms", "computer-vision", "data-structures", "mathematics"]
description = """
Performance-first perceptual hashing library; perfect for handling large datasets. 
Designed to quickly process nested folder structures, commonly found in image datasets
"""
documentation = "https://github.com/aastopher/imgdd"
edition = "2021"
homepage = "https://github.com/aastopher/imgdd"
keywords = ["imagehash", "hash", "perceptual", "deduplication", "wavelet"]
license = "GPL-3.0-or-later"
name = "imgdd"
readme = "README.md"
repository = "https://github.com/aastopher/imgdd"
version = "0.1.3"

[[test]]
name = "rust_tests"
path = "tests/rust_tests.rs"