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author | Valentin Popov <valentin@popov.link> | 2024-07-19 15:37:58 +0300 |
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committer | Valentin Popov <valentin@popov.link> | 2024-07-19 15:37:58 +0300 |
commit | a990de90fe41456a23e58bd087d2f107d321f3a1 (patch) | |
tree | 15afc392522a9e85dc3332235e311b7d39352ea9 /vendor/exr/examples/5b_extract_exr_layers_as_pngs.rs | |
parent | 3d48cd3f81164bbfc1a755dc1d4a9a02f98c8ddd (diff) | |
download | fparkan-a990de90fe41456a23e58bd087d2f107d321f3a1.tar.xz fparkan-a990de90fe41456a23e58bd087d2f107d321f3a1.zip |
Deleted vendor folder
Diffstat (limited to 'vendor/exr/examples/5b_extract_exr_layers_as_pngs.rs')
-rw-r--r-- | vendor/exr/examples/5b_extract_exr_layers_as_pngs.rs | 74 |
1 files changed, 0 insertions, 74 deletions
diff --git a/vendor/exr/examples/5b_extract_exr_layers_as_pngs.rs b/vendor/exr/examples/5b_extract_exr_layers_as_pngs.rs deleted file mode 100644 index 1f14ea7..0000000 --- a/vendor/exr/examples/5b_extract_exr_layers_as_pngs.rs +++ /dev/null @@ -1,74 +0,0 @@ -extern crate image as png; -use std::cmp::Ordering; - -extern crate exr; - -/// For each layer in the exr file, -/// extract each channel as grayscale png, -/// including all multi-resolution levels. -// -// FIXME throws "access denied" sometimes, simply trying again usually works. -// -pub fn main() { - use exr::prelude::*; - - let path = "layers.exr"; - let now = ::std::time::Instant::now(); - - // load the exr file from disk with multi-core decompression - let image = read() - .no_deep_data().largest_resolution_level().all_channels().all_layers().all_attributes() - .from_file(path).expect("run example `5a_write_multiple_layers` to generate this image file"); - - // warning: highly unscientific benchmarks ahead! - println!("\nloaded file in {:?}s", now.elapsed().as_secs_f32()); - let _ = std::fs::create_dir_all("pngs/"); - println!("writing images..."); - - for (layer_index, layer) in image.layer_data.iter().enumerate() { - let layer_name = layer.attributes.layer_name.as_ref() - .map_or(String::from("main_layer"), Text::to_string); - - for channel in &layer.channel_data.list { - let data : Vec<f32> = channel.sample_data.values_as_f32().collect(); - save_f32_image_as_png(&data, layer.size, format!( - "pngs/{} ({}) {}_{}x{}.png", - layer_index, layer_name, channel.name, - layer.size.width(), layer.size.height(), - )) - } - } - - /// Save raw float data to a PNG file, doing automatic brightness adjustments per channel - fn save_f32_image_as_png(data: &[f32], size: Vec2<usize>, name: String) { - let mut png_buffer = png::GrayImage::new(size.width() as u32, size.height() as u32); - let mut sorted = Vec::from(data); - sorted.sort_by(|a, b| a.partial_cmp(b).unwrap_or(Ordering::Less)); - - // percentile normalization - let max = sorted[7 * sorted.len() / 8]; - let min = sorted[1 * sorted.len() / 8]; - - // primitive tone mapping - let tone = |v: f32| (v - 0.5).tanh() * 0.5 + 0.5; - let max_toned = tone(*sorted.last().unwrap()); - let min_toned = tone(*sorted.first().unwrap()); - - // for each pixel, tone map the value - for (x, y, pixel) in png_buffer.enumerate_pixels_mut() { - let v = data[y as usize * size.0 + x as usize]; - let v = (v - min) / (max - min); - let v = tone(v); - - let v = (v - min_toned) / (max_toned - min_toned); - - // TODO does the `image` crate expect gamma corrected data? - *pixel = png::Luma([(v.max(0.0).min(1.0) * 255.0) as u8]); - } - - png_buffer.save(&name).unwrap(); - } - - println!("extracted all layers to folder `./pngs/*.png`"); -} - |