49 lines
2.0 KiB
Rust
49 lines
2.0 KiB
Rust
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// exr imports
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extern crate exr;
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/// Read an image and print information about the image into the console.
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/// This example shows how to read an image with multiple layers and specific channels.
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/// This example does not include resolution levels (mipmaps or ripmaps).
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fn main() {
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use exr::prelude::*;
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let image = read().no_deep_data()
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.largest_resolution_level()
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.specific_channels()
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.optional("A", f16::ONE)
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.required("Y") // TODO also accept a closure with a detailed selection mechanism
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.optional("right.Y", 0.0)
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.collect_pixels(
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|resolution, (a_channel, y_channel, y_right_channel)| {
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println!("image contains alpha channel? {}", a_channel.is_some());
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println!("image contains stereoscopic luma channel? {}", y_right_channel.is_some());
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println!("the type of luma samples is {:?}", y_channel.sample_type);
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vec![vec![(f16::ZERO, 0.0, 0.0); resolution.width()]; resolution.height()]
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},
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// all samples will be converted to f32 (you can also use the enum `Sample` instead of `f32` here to retain the original data type from the file)
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|vec, position, (a,y,yr): (f16, f32, f32)| {
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vec[position.y()][position.x()] = (a, y, yr)
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}
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)
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.all_layers()
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.all_attributes()
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.on_progress(|progress| println!("progress: {:.1}", progress*100.0))
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.from_file("custom_channels.exr")
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.expect("run example `4_write_custom_fixed_channels` to generate this image file");
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// output a random color of each channel of each layer
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for layer in &image.layer_data {
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let (alpha, luma, luma_right) = layer.channel_data.pixels.first().unwrap().first().unwrap();
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println!(
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"top left color of layer `{}`: (a, y, yr) = {:?}",
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layer.attributes.layer_name.clone().unwrap_or_default(),
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(alpha.to_f32(), luma, luma_right)
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)
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}
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}
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