mirror of
https://github.com/storytold/lightcraft.git
synced 2026-10-30 13:07:43 -06:00
radialmonster
04e8aea577
The Canon maker note's AspectInfo (tag 0x009a: aspect code, cropped width, height, left, top) holds the rectangle of the shot, measured from the recommended image crop. Use it as the CR3 default crop, so 3:2, 4:3, 16:9 and 1:1 shots develop in the shape the photographer chose. The tag is ignored when it is missing, does not fit, or the recommended crop itself is inconsistent. RENDER_CACHE_VERSION 15 -> 16. The M50 C-RAW corpus sample (raw.pixls.us 2663) was shot at 1:1 and now develops at 4000 x 4000.
94 lines
4.2 KiB
Rust
94 lines
4.2 KiB
Rust
//! Exact sensor-pixel regressions, not embedded-JPEG comparisons.
|
|
//!
|
|
//! Public-domain inputs from raw.pixls.us, kept in the gitignored corpus/raw.
|
|
//! Reference pixels were independently obtained by running the DNGLab v0.8.0
|
|
//! release executable as a black-box oracle (analyze --raw-pixel). Its source
|
|
//! and camera matrices were not used. Canonical FNV-1a hashes below are over
|
|
//! decoded u16 samples in row-major, little-endian order, including masked borders.
|
|
//! macOS oracle archive SHA256:
|
|
//! ee70805cb60f18d5ed62548c4e595f6cee0a33407e15358eb1766a46afc1c16e.
|
|
|
|
use lightcraft_raw::{RawData, RawFormat, decode, probe_info};
|
|
use std::path::{Path, PathBuf};
|
|
|
|
fn corpus() -> PathBuf {
|
|
std::env::var_os("LIGHTCRAFT_CORPUS").map(PathBuf::from).unwrap_or_else(|| Path::new(env!("CARGO_MANIFEST_DIR")).join("../../corpus"))
|
|
}
|
|
|
|
fn check(name: &str, hash: u64, sensor: (usize, usize), developed: (usize, usize)) {
|
|
let path = corpus().join("raw").join(name);
|
|
let Ok(bytes) = std::fs::read(&path) else {
|
|
eprintln!("skip: {} absent", path.display());
|
|
return;
|
|
};
|
|
let raw = decode(&bytes).unwrap_or_else(|e| panic!("{name}: {e}"));
|
|
assert_eq!(raw.format, RawFormat::Cr3);
|
|
raw.validate().unwrap();
|
|
assert_eq!((raw.width, raw.height, raw.cpp), (sensor.0, sensor.1, 1));
|
|
assert_eq!(raw.info().developed_size(), developed);
|
|
assert_eq!(raw.info(), probe_info(&bytes).unwrap());
|
|
let RawData::U16(samples) = &raw.data else { panic!("{name}: integer sensor data expected") };
|
|
let actual =
|
|
samples.iter().flat_map(|v| v.to_le_bytes()).fold(0xcbf2_9ce4_8422_2325u64, |h, byte| (h ^ u64::from(byte)).wrapping_mul(0x100_0000_01b3));
|
|
assert_eq!(actual, hash, "{name}: sensor pixels differ from the independent reference");
|
|
assert!(raw.wb_multipliers.is_some(), "{name}: as-shot white balance missing");
|
|
assert!(raw.white_at(0) > raw.black.mean(), "{name}: invalid black/white levels");
|
|
}
|
|
|
|
#[test]
|
|
fn canon_m50_lossless_sensor_is_exact() {
|
|
// raw.pixls.us/getfile.php/4657; SHA256
|
|
// 1ba9ad6b51b315b88820eb0fe5fd7f52bc136ba37b1a5ca76825ebfe25b18058
|
|
check("cr3-canon-m50-raw.cr3", 0x6226_1f0b_a81c_fcd2, (6288, 4056), (6000, 4000));
|
|
}
|
|
|
|
#[test]
|
|
fn canon_r100_lossless_sensor_is_exact() {
|
|
// raw.pixls.us/getfile.php/7896; SHA256
|
|
// 6d83217d58a5e6d2dabcf470430e91a16676b60531c025b81fa7453fc74b0521
|
|
check("cr3-canon-r100-raw.cr3", 0xcbe5_299a_b9c5_2630, (6288, 4056), (6000, 4000));
|
|
}
|
|
|
|
#[test]
|
|
fn canon_m50_craw_sensor_is_exact() {
|
|
// raw.pixls.us/getfile.php/2663; SHA256
|
|
// 15384b775867ec4c42b11882837f1e368cedc0561832ffab271221e6bb80be4c
|
|
// The camera was set to 1:1: the file's AspectInfo is a 4000 x 4000 square at x = 1000 inside the 6000 x 4000
|
|
// image (the archive's "3:2" label is wrong). The sensor samples are unchanged; only the crop is.
|
|
check("cr3-canon-m50-craw.cr3", 0x9aac_bfe6_6f50_5e1b, (6288, 4056), (4000, 4000));
|
|
}
|
|
|
|
#[test]
|
|
fn canon_r100_craw_sensor_is_exact() {
|
|
// raw.pixls.us/getfile.php/7897; SHA256
|
|
// 0b66842b2fe00329ebc05fe8ab9357ddbbe1a0a2d2e69a2893102de7fdf5c942
|
|
check("cr3-canon-r100-craw.cr3", 0x341c_706b_37c3_8bbf, (6288, 4056), (6000, 4000));
|
|
}
|
|
|
|
#[test]
|
|
fn canon_r8_lossless_sensor_is_exact() {
|
|
// raw.pixls.us/getfile.php/6585; SHA256
|
|
// 7d5c6dbb11ff7e6ee58715d90a20f5d801e8b103f4711ff6ea329ceafcef254c
|
|
check("cr3-canon-r8-raw.cr3", 0x63c1_c6d8_d1eb_2312, (6188, 4120), (6000, 4000));
|
|
}
|
|
|
|
#[test]
|
|
fn canon_r8_craw_sensor_is_exact() {
|
|
// raw.pixls.us/getfile.php/6587; SHA256
|
|
// df33cf394573645ce03dea1b2e9f0b5cc2b7734e9e3391ee7114151414cf2812
|
|
check("cr3-canon-r8-craw.cr3", 0xf836_a663_a795_a375, (6188, 4120), (6000, 4000));
|
|
}
|
|
|
|
#[test]
|
|
fn canon_m50_craw_crop_is_the_shot_aspect() {
|
|
// raw.pixls.us/getfile.php/2663: the 1:1 square starts 1000 px right of the recommended crop's origin,
|
|
// which is (12, 12) inside the valid sensor area.
|
|
let path = corpus().join("raw").join("cr3-canon-m50-craw.cr3");
|
|
let Ok(bytes) = std::fs::read(&path) else {
|
|
eprintln!("skip: {} absent", path.display());
|
|
return;
|
|
};
|
|
let raw = decode(&bytes).unwrap();
|
|
assert_eq!((raw.crop.x, raw.crop.y, raw.crop.width, raw.crop.height), (1012, 12, 4000, 4000));
|
|
}
|