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# [qoi-fast](https://crates.io/crates/qoi-fast)
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[](https://github.com/aldanor/qoi-fast/actions?query=branch%3Amaster)
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[](https://crates.io/crates/qoi-fast)
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[](https://docs.rs/qoi-fast)
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://opensource.org/licenses/MIT)
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2022-01-03 11:51:39 +00:00
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[](https://github.com/rust-secure-code/safety-dance)
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2022-01-03 17:57:25 +00:00
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Fast encoder/decoder for [QOI image format](https://qoiformat.org/), implemented in pure and safe Rust.
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2022-01-04 00:10:55 +00:00
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- One of the [fastest](#benchmarks) QOI encoders/decoders out there.
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- Compliant with the [latest](https://qoiformat.org/qoi-specification.pdf) QOI format specification.
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- Zero unsafe code.
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- Supports decoding from / encoding to `std::io` streams directly.
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- `no_std` support.
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- Roundtrip-tested vs the reference C implementation; fuzz-tested.
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### Examples
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```rust
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use qoi_fast::{encode_to_vec, decode_to_vec};
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let encoded = encode_to_vec(&pixels, width, height)?;
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let (header, decoded) = decode_to_vec(&encoded)?;
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assert_eq!(header.width, width);
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assert_eq!(header.height, height);
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assert_eq!(decoded, pixels);
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```
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### Benchmarks
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Comparison to the reference C implementation
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(as of [00e34217](https://github.com/phoboslab/qoi/commit/00e34217)),
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benchmarks timings collected on Apple M1 (1782 images, 1187 MB total):
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```
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codec decode:ms encode:ms decode:mp/s encode:mp/s
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2022-01-03 22:47:01 +00:00
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qoi-c 4389.75 5524.18 283.5 225.3
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qoi-fast 3026.68 4304.26 411.2 289.2
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```
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2022-01-03 22:58:27 +00:00
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Benchmarks have also been run for all of the other Rust implementations
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of QOI for comparison purposes and, at the time of writing this document,
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this library proved to be the fastest one by a noticeable margin.
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2022-01-03 18:57:54 +00:00
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### `no_std`
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This crate supports `no_std` mode. By default, std is enabled via the `std`
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feature. You can deactivate the `default-features` to target core instead.
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In that case anything related to `std::io`, `std::error::Error` and heap
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allocations is disabled. There is an additional `alloc` feature that can
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be activated to bring back the support for heap allocations.
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### License
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2022-01-03 11:51:39 +00:00
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This project is dual-licensed under MIT and Apache 2.0.
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