Files
DarkRoom/core/dr-face/examples/eyes.rs
T
dtourolle facb44cb55 Keep the dense landmarks behind each eye reading, packed
The 106 points the eye boxes were cut from, stored beside the reading as
16-bit fixed point over the frame: 424 bytes a face, a seventh of a pixel
on a 6000-pixel frame, where f16 at the same size would have been six.
Derived data like the embedding, kept for the same reason — it cost a
fetch and a model run, and the next per-face pass should run from the
catalog. Shards carry it; a peer's shard from before it is still read.
2026-09-19 14:24:15 +02:00

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//! Detect the faces in a JPEG and read each one's eyes (docs/faces.md §17).
//!
//! The thing worth looking at is whether the eye boxes land on eyes and
//! whether soft ones are refused — so with `--dump DIR` the crops the
//! classifiers were shown are written out as PPMs, one per eye and one per
//! head framing, named by image and face, and every line carries the
//! numbers the readability floors are set from.
//!
//! cargo run -p dr-face --features inference --example eyes -- \
//! DET.onnx 2D106DET.onnx OCEC.onnx SGC.onnx [--dump DIR] photo.jpg [photo.jpg ...]
//!
//! All four models must have had their dynamic dims pinned first; see
//! `tools/fix-face-model-shapes.sh`.
use std::path::{Path, PathBuf};
use std::time::Instant;
use dr_face::{align, DetectOptions, Detector, EyeModels, Pixels};
fn main() {
env_logger::init();
let mut args: Vec<String> = std::env::args().skip(1).collect();
let dump = args.iter().position(|a| a == "--dump").map(|i| {
args.remove(i);
PathBuf::from(args.remove(i))
});
if args.len() < 5 {
eprintln!(
"usage: eyes DET.onnx 2D106DET.onnx OCEC.onnx SGC.onnx [--dump DIR] IMAGE.jpg [IMAGE.jpg ...]"
);
std::process::exit(2);
}
if let Some(d) = &dump {
std::fs::create_dir_all(d).expect("dump dir");
}
let t = Instant::now();
let mut detector = Detector::from_path(&args[0]).expect("load detector");
let mut models = EyeModels::from_paths(&args[1], &args[2], &args[3]).expect("load eye models");
println!("loaded the models in {:?}", t.elapsed());
let opts = DetectOptions::default();
for path in &args[4..] {
let (rgb, w, h) = match load_jpeg(path) {
Ok(v) => v,
Err(e) => {
println!("{path}: {e}");
continue;
}
};
let dets = detector.detect(&rgb, w, h, &opts).expect("detect");
println!("\n{path} ({w}×{h}) {} face(s)", dets.len());
let stem = Path::new(path)
.file_stem()
.map(|s| s.to_string_lossy().into_owned())
.unwrap_or_default();
for (i, d) in dets.iter().enumerate() {
let px = Pixels::RgbF32(&rgb);
let t = Instant::now();
let reading = models
.read(px, w, h, d.bbox, &d.landmarks)
.expect("read eyes");
let ms = t.elapsed().as_secs_f64() * 1e3;
let Some((r, lm)) = reading else {
println!(" [{i}] nothing to cut, skipped");
continue;
};
println!(
" [{i}] conf {:.2} box {:.0}×{:.0} right {:.3} ({:.0}px, sharp {:.3}) left {:.3} ({:.0}px, sharp {:.3}) sunglasses {:.3} → {:?} ({ms:.1} ms)",
d.confidence,
d.width(),
d.height(),
r.right.open,
r.right.px,
r.right.sharpness,
r.left.open,
r.left.px,
r.left.sharpness,
r.sunglasses,
r.state(),
);
if let Some(dir) = &dump {
// The same crops `EyeModels::read` cut, cut again for the
// sheet from the landmarks it handed back: the reading itself
// carries numbers, not pixels.
for (name, contour) in [("right", lm.right_eye()), ("left", lm.left_eye())] {
if let Some(patch) =
align::eye_box(&contour).and_then(|b| align::eye_patch(px, w, h, b))
{
write_ppm(
&dir.join(format!("{stem}-{i}-{name}.ppm")),
patch.pixels(),
align::EYE_PATCH_WIDTH,
align::EYE_PATCH_HEIGHT,
);
}
}
if let Some(head) = align::head_views(px, w, h, &d.landmarks) {
for (n, view) in head.views().enumerate() {
write_ppm(
&dir.join(format!("{stem}-{i}-head{n}.ppm")),
view,
align::SUNGLASSES_EDGE,
align::SUNGLASSES_EDGE,
);
}
}
}
}
}
}
fn write_ppm(path: &Path, rgb: &[f32], w: usize, h: usize) {
let mut out = format!("P6\n{w} {h}\n255\n").into_bytes();
out.extend(
rgb.iter()
.map(|v| (v.clamp(0.0, 1.0) * 255.0).round() as u8),
);
std::fs::write(path, out).expect("write ppm");
}
/// Decode to the tightly packed `f32` RGB `0.0..=1.0` the crate expects.
fn load_jpeg(path: &str) -> Result<(Vec<f32>, usize, usize), String> {
let bytes = std::fs::read(path).map_err(|e| e.to_string())?;
let mut dec = zune_jpeg::JpegDecoder::new(&bytes);
let px = dec.decode().map_err(|e| e.to_string())?;
let info = dec.info().ok_or("no jpeg header")?;
let (w, h) = (info.width as usize, info.height as usize);
let rgb: Vec<f32> = match px.len() / (w * h) {
3 => px.iter().map(|&v| v as f32 / 255.0).collect(),
1 => px
.iter()
.flat_map(|&v| {
let g = v as f32 / 255.0;
[g, g, g]
})
.collect(),
n => return Err(format!("{n} components per pixel, expected 1 or 3")),
};
Ok((rgb, w, h))
}