Crates.io | openexr |
lib.rs | openexr |
version | 0.11.0 |
source | src |
created_at | 2017-05-16 04:40:02.208002 |
updated_at | 2021-10-21 20:10:42.820992 |
description | High-level bindings to OpenEXR 3.0.5 |
homepage | |
repository | https://github.com/vfx-rs/openexr-rs |
max_upload_size | |
id | 14776 |
size | 5,694,857 |
The openexr crate provides high-level bindings for the ASWF OpenEXR library, which allows reading and writing files in the OpenEXR format (EXR standing for EXtended Range). The OpenEXR format is the de-facto standard image storage format of the motion-picture industry.
The purpose of EXR format is to accurately and efficiently represent high-dynamic-range scene-linear image data and associated metadata, with strong support for multi-part, multi-channel use cases.
OpenEXR is widely used in host application software where accuracy is critical, such as photorealistic rendering, texture access, image compositing, deep compositing, and DI. OpenEXR is a project of the Academy Software Foundation. The format and library were originally developed by Industrial Light & Magic and first released in 2003. Weta Digital, Walt Disney Animation Studios, Sony Pictures Imageworks, Pixar Animation Studios, DreamWorks, and other studios, companies, and individuals have made contributions to the code base.
OpenEXR is included in the VFX Reference Platform.
The openexr crate is maintained by the vfx-rs project.
To use the included C++ OpenEXR source:
cargo add openexr
cargo build
While this method is supported and easiest to get starter, it is strongly recommended that you build and install the C++ library separately and build the crate against it like so:
cargo add openexr
CMAKE_PREFIX_PATH=/path/to/cmake/configs cargo build
Note that you must take care to ensure that the version of OpenEXR you are pointing it to is the same as that for this version of the crate, otherwise you will encounter linker errors since all OpenEXR symbols are versioned.
The prelude
pulls in the set of types that you
need for basic file I/O of RGBA and arbitrary channel images:
use openexr::prelude::*;
fn write_rgba1(filename: &str, pixels: &[Rgba], width: i32, height: i32)
-> Result<(), Box<dyn std::error::Error>> {
let header = Header::from_dimensions(width, height);
let mut file = RgbaOutputFile::new(
filename,
&header,
RgbaChannels::WriteRgba,
1,
)?;
file.set_frame_buffer(&pixels, 1, width as usize)?;
file.write_pixels(height)?;
Ok(())
}
fn read_rgba1(path: &str) -> Result<(), Box<dyn std::error::Error>> {
use imath_traits::Zero;
let mut file = RgbaInputFile::new(path, 1).unwrap();
// Note that windows in OpenEXR are ***inclusive*** bounds, so a
// 1920x1080 image has window [0, 0, 1919, 1079].
let data_window: [i32; 4] = *file.header().data_window();
let width = data_window.width() + 1;
let height = data_window.height() + 1;
let mut pixels = vec![Rgba::zero(); (width * height) as usize];
file.set_frame_buffer(&mut pixels, 1, width as usize)?;
file.read_pixels(0, height - 1)?;
Ok(())
}
Beyond that, types related to deep images are in the deep
module, and tiled images are in the tiled
module.
The Reading and Writing OpenEXR Image Files document is a great place to start to explore the full functionality of the crate. It contains example usage for nearly everything.
OpenEXR (and much of the rest of the VFX ecosystem) relies on Imath for basic math primitives like vectors and bounding boxes.
Rust already has several mature crates for linear algebra targetting graphics
such as cgmath, nalgebra, nalgebra-glm and glam. Rather than adding yet another
contender to this crowded field, we instead provide a set of traits that allow
any of these crates to be used with openexr in the form of imath-traits. By default, these traits are implemented for arrays and slices, so you will find that the examples in this documentation will tend to use e.g. [i32; 4]
for bounding boxes:
use openexr::prelude::*;
fn read_rgba1(path: &str) -> Result<(), Box<dyn std::error::Error>> {
use imath_traits::Zero;
let mut file = RgbaInputFile::new(path, 1).unwrap();
let data_window = file.header().data_window::<[i32; 4]>().clone();
let width = data_window.width() + 1;
let height = data_window.height() + 1;
Ok(())
}
To use your preffered math crate instead, simply enable the corresponding feature on openexr,
which will be imath_<name>
, for example:
cargo build --features=imath_cgmath
Now you can use types from that crate together with openexr seamlessly. In
the case that the math crate does not provide a bounding box type, one will
be available as imath_traits::Box2i
and imath_traits::Box3i
.
use openexr::prelude::*;
#[cfg(feature = "imath_cgmath")]
fn read_rgba1(path: &str) -> Result<(), Box<dyn std::error::Error>> {
use imath_traits::Zero;
use imath_traits::Box2i;
let mut file = RgbaInputFile::new(path, 1).unwrap();
let data_window: Box2i = *file.header().data_window();
let width = data_window.width() + 1;
let height = data_window.height() + 1;
Ok(())
}
Some parts of the OpenEXR API are not easily representable in safe Rust.
Notably, the interaction between Slice
, FrameBuffer
and the various
File types essentially creates a chain of (mutable) references between the
memory backing the pixel data and the file.
Representing this with lifetimes such that the Rust compiler could track it would make working with these types extremely unwieldy, so instead the methods which actually use the pointers in slices and framebuffers are marked unsafe. It is the caller's responsibility to make sure that the pointers inserted into the framebuffer are still valid when the image is read or written:
// set_frame_buffer internally stores a slice in a frame buffer on the file
// struct. pixels must live until the write_pixels call below has completed.
file.set_frame_buffer(&pixels, 1, width as usize)?;
unsafe {
file.write_pixels(height)?;
}
High dynamic range and color precision.
Support for 16-bit floating-point, 32-bit floating-point, and 32-bit integer pixels.
Multiple image compression algorithms, both lossless and lossy. Some of the included codecs can achieve 2:1 lossless compression ratios on images with film grain. The lossy codecs have been tuned for visual quality and decoding performance.
Extensibility. New image attributes (strings, vectors, integers, etc.) can be added to OpenEXR image headers without affecting backward compatibility with existing OpenEXR applications.
Support for stereoscopic image workflows and a generalization to multi-views.
Flexible support for deep data: pixels can store a variable-length list of samples and, thus, it is possible to store multiple values at different depths for each pixel. Hard surfaces and volumetric data representations are accommodated.
Multipart: ability to encode separate, but related, images in one file. This allows for access to individual parts without the need to read other parts in the file.