a fast and flexible image manipulation crate.
this crate is still a WIP. while it's foundations are there (but not stable), it's still missing many convenience and quality of life features - mostly image processing (like resizing) and formats related.
it's also in necessity of tests™ (there's very few).
based on the fractal example of the image
crate:
```rust
use picture::{formats::png::PngEncoder, prelude::*};
use std::io::Write;
fn main() { let (width, height) = (32, 32); let mut img = Rgb8Image::new(width, height);
let scalex = 3.0 / width as f32;
let scaley = 3.0 / height as f32;
for ((x, y), pixel) in img.pixels_with_coords_mut() {
let cx = y as f32 * scalex - 1.5;
let cy = x as f32 * scaley - 1.5;
let c = num_complex::Complex::new(-0.4, 0.6);
let mut z = num_complex::Complex::new(cx, cy);
let mut g = 0;
while g < 255 && z.norm() <= 2.0 {
z = z * z + c;
g += 1;
}
*pixel = RGB8 {
r: ((x * 255) / width) as u8,
g,
b: ((y * 255) / height) as u8,
};
}
let encoded = PngEncoder::default().encode(img).unwrap();
let mut f = std::fs::File::create("frac.png").unwrap();
f.write_all(&encoded[..]).unwrap();
} ``` (you can find this code in the examples)
one of the coolest features of picture
is the ability to have disjoint mutable views into a view.
the following example swaps the two horizontal halves of an ImageBuffer
and then saves the result.
```rust
use picture::{
formats::png::{PngDecoder, PngEncoder, PngImage},
prelude::*,
};
use std::io::Write;
fn swap
fn main() { let colorful = PngDecoder .decodefrompath("examples/images/colorful.png") .unwrap();
let PngImage::Rgb(mut colorful) = colorful else {
unreachable!()
};
let (mut a, mut b) = colorful.split_x_at_mut(colorful.width() / 2).unwrap();
swap(&mut a, &mut b);
let encoded = PngEncoder::default().encode(colorful).unwrap();
let mut f = std::fs::File::create("swapped.png").unwrap();
f.write_all(&encoded[..]).unwrap();
} ``` (you can find this code in the examples as well!)
the ImageViewMut
trait has many methods to obtain disjoint mutable views: split_x_at_mut
,
split_y_at_mut
and view_mut_multiple
.
i've written a few benchmarks to compare picture
and
image
, but i'm not experienced at writing these - so take these
results with a grain of salt. benchmarks were executed on my ryzen 5 1600 with lto = "thin".
| Benchmark | Time | | ------------------------------- | ------------------------------- | | Diff 256x256/Picture/ | [652.17 µs 655.06 µs 658.63 µs] | | Diff 256x256/Image/ | [933.05 µs 938.71 µs 944.43 µs] | | Fractal 256x256/Picture/ | [8.2990 ms 8.4081 ms 8.5218 ms] | | Fractal 256x256/Image/ | [21.815 ms 21.867 ms 21.922 ms] | | Match 16x16 in 256x256/Picture/ | [179.98 ms 180.64 ms 181.34 ms] | | Match 16x16 in 256x256/Image/ | [231.94 ms 233.09 ms 234.24 ms] |
you can try running these yourself with a simple cargo bench
.
this crate uses unsafe
in many places, but i've tried my best to make it all sound - including
adding SAFETY:
comments above every unsafe
block. it's my first big project with abundancy of
unsafe
, however, so if you find any soundness holes please let me know!