mirror of
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synced 2025-08-04 21:37:59 +00:00
Rename Raw-rs to Rawkit (#2088)
* Rename within files * Rename in CI * Rename the folder and file names * Rename raw_rs to rawkit * Add example to README * Add initial documentation * Small API changes and extra documentation * Bump versions and stuff * Readme improvements * Merge proc-macro crates into one * Add README to rawkit-proc-macros * Remove keywords and categories * Add licenses to rawkit-proc-macros --------- Co-authored-by: Keavon Chambers <keavon@keavon.com>
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89 changed files with 664 additions and 356 deletions
365
libraries/rawkit/tests/tests.rs
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365
libraries/rawkit/tests/tests.rs
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// Only compile this file if the feature "rawkit-tests" is enabled
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#![cfg(feature = "rawkit-tests")]
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use rawkit::RawImage;
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use image::codecs::png::{CompressionType, FilterType, PngEncoder};
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use image::{ColorType, ImageEncoder};
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use libraw::Processor;
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use rayon::prelude::*;
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use std::collections::HashMap;
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use std::fmt::Write;
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use std::fs::{create_dir, metadata, read_dir, File};
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use std::io::{BufWriter, Cursor, Read};
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use std::path::{Path, PathBuf};
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use std::sync::atomic::{AtomicUsize, Ordering};
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use std::time::Duration;
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const TEST_FILES: [&str; 3] = ["ILCE-7M3-ARW2.3.5-blossoms.arw", "ILCE-7RM4-ARW2.3.5-kestrel.arw", "ILCE-6000-ARW2.3.1-windsock.arw"];
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const BASE_URL: &str = "https://static.graphite.rs/test-data/libraries/rawkit/";
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const BASE_PATH: &str = "./tests/images/";
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#[test]
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fn test_images_match_with_libraw() {
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download_images();
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let paths: Vec<_> = read_dir(BASE_PATH)
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.unwrap()
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.map(|dir_entry| dir_entry.unwrap().path())
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.filter(|path| path.is_file() && path.file_name().map(|file_name| file_name != ".gitkeep").unwrap_or(false))
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.collect();
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let failed_tests = if std::env::var("RAWKIT_TEST_RUN_SEQUENTIALLY").is_ok() {
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let mut failed_tests = 0;
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paths.iter().for_each(|path| {
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if !test_image(path) {
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failed_tests += 1;
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}
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});
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failed_tests
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} else {
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let failed_tests = AtomicUsize::new(0);
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paths.par_iter().for_each(|path| {
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if !test_image(path) {
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failed_tests.fetch_add(1, Ordering::SeqCst);
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}
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});
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failed_tests.load(Ordering::SeqCst)
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};
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if failed_tests != 0 {
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panic!("{} images have failed the tests", failed_tests);
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}
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}
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fn test_image(path: &Path) -> bool {
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let mut f = File::open(path).unwrap();
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let mut content = vec![];
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f.read_to_end(&mut content).unwrap();
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let raw_image = match test_raw_data(&content) {
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Err(err_msg) => {
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println!("{} => {}", path.display(), err_msg);
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return false;
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}
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Ok(raw_image) => raw_image,
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};
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// TODO: The code below is kept commented because raw data to final image processing is
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// incomplete. Remove this once it is done.
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// if let Err(err_msg) = test_final_image(&content, raw_image) {
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// failed_tests += 1;
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// return println!("{}", err_msg);
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// };
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println!("{} => Passed", path.display());
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// TODO: Remove this later
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let mut image = raw_image.process_8bit();
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store_image(path, "rawkit", &mut image.data, image.width, image.height);
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let processor = Processor::new();
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let libraw_image = processor.process_8bit(&content).unwrap();
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let mut data = Vec::from_iter(libraw_image.iter().copied());
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store_image(path, "libraw_rs", &mut data[..], libraw_image.width() as usize, libraw_image.height() as usize);
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true
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}
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fn store_image(path: &Path, suffix: &str, data: &mut [u8], width: usize, height: usize) {
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let mut output_path = PathBuf::new();
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if let Some(parent) = path.parent() {
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output_path.push(parent);
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}
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output_path.push("output");
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if metadata(&output_path).is_err() {
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create_dir(&output_path).unwrap();
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}
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if let Some(filename) = path.file_stem() {
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let new_filename = format!("{}_{}.{}", filename.to_string_lossy(), suffix, "png");
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output_path.push(new_filename);
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}
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output_path.set_extension("png");
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let file = BufWriter::new(File::create(output_path).unwrap());
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let png_encoder = PngEncoder::new_with_quality(file, CompressionType::Fast, FilterType::Adaptive);
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png_encoder.write_image(data, width as u32, height as u32, ColorType::Rgb8.into()).unwrap();
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}
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fn download_images() {
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let mut path = Path::new(BASE_PATH).to_owned();
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let client = reqwest::blocking::Client::builder().timeout(Duration::from_secs(60 * 5)).build().unwrap();
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for filename in TEST_FILES {
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path.push(filename);
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if !path.exists() {
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let url = BASE_URL.to_owned() + filename;
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let mut response = client.get(url).send().unwrap();
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let mut file = File::create(BASE_PATH.to_owned() + filename).unwrap();
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std::io::copy(&mut response, &mut file).unwrap();
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}
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path.pop();
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}
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}
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fn test_raw_data(content: &[u8]) -> Result<RawImage, String> {
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let processor = libraw::Processor::new();
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let libraw_raw_image = processor.decode(content).unwrap();
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let mut content = Cursor::new(content);
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let raw_image = RawImage::decode(&mut content).unwrap();
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if libraw_raw_image.sizes().raw_height as usize != raw_image.height {
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return Err(format!(
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"The height of raw image is {} but the expected value was {}",
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raw_image.height,
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libraw_raw_image.sizes().raw_height
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));
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}
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if libraw_raw_image.sizes().raw_width as usize != raw_image.width {
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return Err(format!(
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"The width of raw image is {} but the expected value was {}",
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raw_image.width,
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libraw_raw_image.sizes().raw_width
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));
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}
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if (*libraw_raw_image).len() != raw_image.data.len() {
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return Err(format!(
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"The size of data of raw image is {} but the expected value was {}",
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raw_image.data.len(),
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(*libraw_raw_image).len()
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));
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}
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if (*libraw_raw_image) != raw_image.data {
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let mut err_msg = String::new();
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write!(&mut err_msg, "The raw data does not match").unwrap();
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if std::env::var("RAWKIT_TEST_PRINT_HISTOGRAM").is_ok() {
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writeln!(err_msg).unwrap();
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let mut histogram: HashMap<i32, usize> = HashMap::new();
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let mut non_zero_count: usize = 0;
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(*libraw_raw_image)
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.iter()
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.zip(raw_image.data.iter())
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.map(|(&a, &b)| {
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let a: i32 = a.into();
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let b: i32 = b.into();
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a - b
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})
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.filter(|&x| x != 0)
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.for_each(|x| {
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*histogram.entry(x).or_default() += 1;
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non_zero_count += 1;
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});
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let total_pixels = raw_image.height * raw_image.width;
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writeln!(err_msg, "{} ({:.5}%) pixels are different from expected", non_zero_count, non_zero_count as f64 / total_pixels as f64).unwrap();
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writeln!(err_msg, "Diff Histogram:").unwrap();
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let mut items: Vec<_> = histogram.iter().map(|(&a, &b)| (a, b)).collect();
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items.sort();
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for (key, value) in items {
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writeln!(err_msg, "{:05}: {:05} ({:02.5}%)", key, value, value as f64 / total_pixels as f64).unwrap();
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}
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}
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return Err(err_msg);
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}
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Ok(raw_image)
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}
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fn _test_final_image(content: &[u8], raw_image: RawImage) -> Result<(), String> {
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let processor = libraw::Processor::new();
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let libraw_image = processor.process_8bit(content).unwrap();
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let image = raw_image.process_8bit();
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if libraw_image.height() as usize != image.height {
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return Err(format!("The height of image is {} but the expected value was {}", image.height, libraw_image.height()));
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}
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if libraw_image.width() as usize != image.width {
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return Err(format!("The width of image is {} but the expected value was {}", image.width, libraw_image.width()));
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}
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if (*libraw_image).len() != image.data.len() {
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return Err(format!("The size of data of image is {} but the expected value was {}", image.data.len(), (*libraw_image).len()));
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}
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if (*libraw_image) != image.data {
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let mut err_msg = String::new();
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write!(&mut err_msg, "The final image does not match").unwrap();
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if std::env::var("RAWKIT_TEST_PRINT_HISTOGRAM").is_ok() {
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writeln!(err_msg).unwrap();
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let mut histogram_red: HashMap<i16, usize> = HashMap::new();
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let mut histogram_green: HashMap<i16, usize> = HashMap::new();
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let mut histogram_blue: HashMap<i16, usize> = HashMap::new();
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let mut non_zero_count: usize = 0;
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let mut non_zero_count_red: usize = 0;
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let mut non_zero_count_green: usize = 0;
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let mut non_zero_count_blue: usize = 0;
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(*libraw_image)
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.chunks_exact(3)
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.zip(image.data.chunks_exact(3))
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.map(|(a, b)| {
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let a: [u8; 3] = a.try_into().unwrap();
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let b: [u8; 3] = b.try_into().unwrap();
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(a, b)
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})
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.map(|([r1, g1, b1], [r2, g2, b2])| {
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let r1: i16 = r1.into();
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let g1: i16 = g1.into();
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let b1: i16 = b1.into();
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let r2: i16 = r2.into();
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let g2: i16 = g2.into();
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let b2: i16 = b2.into();
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[r1 - r2, g1 - g2, b1 - b2]
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})
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.filter(|&[r, g, b]| r != 0 || g != 0 || b != 0)
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.for_each(|[r, g, b]| {
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non_zero_count += 1;
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if r != 0 {
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*histogram_red.entry(r).or_default() += 1;
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non_zero_count_red += 1;
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}
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if g != 0 {
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*histogram_green.entry(g).or_default() += 1;
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non_zero_count_green += 1;
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}
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if b != 0 {
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*histogram_blue.entry(b).or_default() += 1;
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non_zero_count_blue += 1;
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}
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});
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let total_pixels = image.height * image.width;
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writeln!(err_msg, "{} ({:.5}%) pixels are different from expected", non_zero_count, non_zero_count as f64 / total_pixels as f64,).unwrap();
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writeln!(
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err_msg,
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"{} ({:.5}%) red pixels are different from expected",
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non_zero_count_red,
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non_zero_count_red as f64 / total_pixels as f64,
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)
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.unwrap();
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writeln!(
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err_msg,
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"{} ({:.5}%) green pixels are different from expected",
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non_zero_count_green,
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non_zero_count_green as f64 / total_pixels as f64,
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)
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.unwrap();
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writeln!(
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err_msg,
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"{} ({:.5}%) blue pixels are different from expected",
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non_zero_count_blue,
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non_zero_count_blue as f64 / total_pixels as f64,
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)
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.unwrap();
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writeln!(err_msg, "Diff Histogram for Red pixels:").unwrap();
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let mut items: Vec<_> = histogram_red.iter().map(|(&a, &b)| (a, b)).collect();
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items.sort();
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for (key, value) in items {
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writeln!(err_msg, "{:05}: {:05} ({:02.5}%)", key, value, value as f64 / total_pixels as f64).unwrap();
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}
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writeln!(err_msg, "Diff Histogram for Green pixels:").unwrap();
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let mut items: Vec<_> = histogram_green.iter().map(|(&a, &b)| (a, b)).collect();
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items.sort();
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for (key, value) in items {
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writeln!(err_msg, "{:05}: {:05} ({:02.5}%)", key, value, value as f64 / total_pixels as f64).unwrap();
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}
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writeln!(err_msg, "Diff Histogram for Blue pixels:").unwrap();
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let mut items: Vec<_> = histogram_blue.iter().map(|(&a, &b)| (a, b)).collect();
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items.sort();
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for (key, value) in items {
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writeln!(err_msg, "{:05}: {:05} ({:02.5}%)", key, value, value as f64 / total_pixels as f64).unwrap();
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}
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}
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return Err(err_msg);
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}
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Ok(())
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}
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#[ignore]
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#[test]
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fn extract_data_from_dng_images() {
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read_dir(BASE_PATH)
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.unwrap()
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.map(|dir_entry| dir_entry.unwrap().path())
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.filter(|path| path.is_file() && path.file_name().map(|file_name| file_name != ".gitkeep").unwrap_or(false))
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.for_each(|path| {
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extract_data_from_dng_image(&path);
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});
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}
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fn extract_data_from_dng_image(path: &Path) {
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use rawkit::tiff::file::TiffRead;
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use rawkit::tiff::tags::{ColorMatrix2, Make, Model};
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use rawkit::tiff::values::ToFloat;
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use rawkit::tiff::Ifd;
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use std::io::{BufReader, Write};
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let reader = BufReader::new(File::open(path).unwrap());
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let mut file = TiffRead::new(reader).unwrap();
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let ifd = Ifd::new_first_ifd(&mut file).unwrap();
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let make = ifd.get_value::<Make, _>(&mut file).unwrap();
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let model = ifd.get_value::<Model, _>(&mut file).unwrap();
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let matrix = ifd.get_value::<ColorMatrix2, _>(&mut file).unwrap();
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if model == "MODEL-NAME" {
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println!("{}", path.display());
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return;
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}
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let output_folder = path.parent().unwrap().join(make);
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std::fs::create_dir_all(&output_folder).unwrap();
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let mut output_file = File::create(output_folder.join(model + ".toml")).unwrap();
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let matrix: Vec<_> = matrix.iter().map(|x| x.to_float()).collect();
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writeln!(output_file, "camera_to_xyz = {:.4?}", matrix).unwrap();
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}
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