feat: Added a manual implementation of nms

Cargo.lock

@@ -255,6 +255,7 @@ dependencies = [
  "nalgebra",
  "ndarray 0.16.1",
  "num",
+ "ordered-float",
  "simba",
  "thiserror 2.0.12",
 ]

bounding-box/Cargo.toml

@@ -9,6 +9,7 @@ itertools = "0.14.0"
 nalgebra = "0.33.2"
 ndarray = { version = "0.16.1", optional = true }
 num = "0.4.3"
+ordered-float = "5.0.0"
 simba = "0.9.0"
 thiserror = "2.0.12"
 

bounding-box/src/lib.rs

@@ -51,10 +51,12 @@ pub type Aabb3<T> = AxisAlignedBoundingBox<T, 3>;
 impl<T: Num, const D: usize> AxisAlignedBoundingBox<T, D> {
     // Panics if max < min
     pub fn new(min_point: Point<T, D>, max_point: Point<T, D>) -> Self {
-        if max_point < min_point {
+        if max_point >= min_point {
+            Self::from_min_max_vertices(min_point, max_point)
+        } else {
+            dbg!(max_point, min_point);
             panic!("max_point must be greater than or equal to min_point");
         }
-        Self::from_min_max_vertices(min_point, max_point)
     }
     pub fn try_new(min_point: Point<T, D>, max_point: Point<T, D>) -> Option<Self> {
         if max_point < min_point {
@@ -66,9 +68,9 @@ impl<T: Num, const D: usize> AxisAlignedBoundingBox<T, D> {
         Self { point, size }
     }
 
-    pub fn from_min_max_vertices(point1: Point<T, D>, point2: Point<T, D>) -> Self {
+    pub fn from_min_max_vertices(min: Point<T, D>, max: Point<T, D>) -> Self {
-        let size = point2 - point1;
+        let size = max - min;
-        Self::new_point_size(point1, SVector::from(size))
+        Self::new_point_size(min, SVector::from(size))
     }
 
     /// Only considers the points closest and furthest from origin
@@ -301,11 +303,11 @@ impl<T: Num, const D: usize> AxisAlignedBoundingBox<T, D> {
 
         let inter_min = lhs_min.sup(&rhs_min);
         let inter_max = lhs_max.inf(&rhs_max);
-        if inter_max < inter_min {
+        if inter_max >= inter_min {
-            return T::zero();
-        } else {
             let intersection = Aabb::new(inter_min, inter_max).measure();
             intersection / (self.measure() + other.measure() - intersection)
+        } else {
+            return T::zero();
         }
     }
 }
@@ -605,11 +607,8 @@ mod boudning_box_tests {
 
     #[test]
     fn test_specific_values() {
-        let res = Vector2::new(1920, 1080).cast();
+        let box1 = Aabb2::from_xywh(0.69482, 0.6716774, 0.07493961, 0.14968264);
-        let box1 = Aabb2::from_xywh(0.69482, 0.6716774, 0.07493961, 0.14968264).denormalize(res);
+        let box2 = Aabb2::from_xywh(0.41546485, 0.70290875, 0.06197411, 0.08818436);
-        let box2 =
+        assert!(box1.iou(&box2) >= 0.0);
-            Aabb2::from_xywh(0.41546485, 0.70290875, 0.06197411, 0.08818436).denormalize(res);
-        dbg!(box1, box2);
-        assert!(box1.iou(&box2) > 0.0);
     }
 }

bounding-box/src/nms.rs

@@ -1,4 +1,6 @@
-use std::collections::HashSet;
+use std::collections::{HashSet, VecDeque};
+
+use itertools::Itertools;
 
 use crate::*;
 /// Apply Non-Maximum Suppression to a set of bounding boxes.
@@ -21,7 +23,8 @@ pub fn nms<T>(
 ) -> HashSet<usize>
 where
     T: Num
-        + num::Float
+        + ordered_float::FloatCore
+        + core::ops::Neg<Output = T>
         + core::iter::Product<T>
         + core::ops::AddAssign
         + core::ops::SubAssign
@@ -29,71 +32,31 @@ where
         + nalgebra::SimdValue
         + nalgebra::SimdPartialOrd,
 {
-    let mut indices: Vec<usize> = (0..boxes.len())
+    let mut combined: VecDeque<(usize, Aabb2<T>, T, bool)> = boxes
-        .filter(|&i| scores[i] >= score_threshold)
+        .iter()
+        .enumerate()
+        .zip(scores)
+        .filter_map(|((idx, bbox), score)| {
+            (*score > score_threshold).then_some((idx, *bbox, *score, true))
+        })
+        .sorted_by_cached_key(|(_, _, score, _)| -ordered_float::OrderedFloat(*score))
         .collect();
 
-    indices.sort_by(|&i, &j| scores[j].partial_cmp(&scores[i]).unwrap());
+    for i in 0..combined.len() {
-
+        let first = combined[i];
-    let mut selected_indices = HashSet::new();
+        if first.3 == false {
-
+            continue;
-    while let Some(&current) = indices.first() {
+        }
-        selected_indices.insert(current);
+        let bbox = first.1;
-        indices.remove(0);
+        for item in combined.iter_mut().skip(i + 1) {
-
+            if bbox.iou(&item.1) > nms_threshold {
-        indices.retain(|&i| {
+                item.3 = false
-            let iou = calculate_iou(&boxes[current], &boxes[i]);
+            }
-            let iou_ = boxes[current].iou(&boxes[i]);
+        }
-            if iou != iou_ {
-                dbg!(boxes[current], boxes[i]);
-                panic!()
-            };
-            iou < nms_threshold
-        });
     }
 
-    selected_indices
+    combined
-}
+        .into_iter()
-
+        .filter_map(|(idx, _, _, keep)| keep.then_some(idx))
-/// Calculate the Intersection over Union (IoU) of two bounding boxes.
+        .collect()
-///
-/// # Arguments
-///
-/// * `box1` - The first bounding box.
-/// * `box2` - The second bounding box.
-///
-/// # Returns
-///
-/// The IoU as a value between 0 and 1.
-fn calculate_iou<T>(box1: &Aabb2<T>, box2: &Aabb2<T>) -> T
-where
-    T: Num
-        + num::Float
-        + core::iter::Product<T>
-        + core::ops::AddAssign
-        + core::ops::SubAssign
-        + core::ops::MulAssign
-        + nalgebra::SimdValue
-        + nalgebra::SimdPartialOrd,
-{
-    let x_left = box1.min_vertex().x.max(box2.min_vertex().x);
-    let y_top = box1.min_vertex().y.max(box2.min_vertex().y);
-    let x_right = box1.max_vertex().x.min(box2.max_vertex().x);
-    let y_bottom = box1.max_vertex().y.min(box2.max_vertex().y);
-
-    let zero = T::zero();
-    let inter_width = (x_right - x_left).max(zero);
-    let inter_height = (y_bottom - y_top).max(zero);
-    let intersection = inter_width * inter_height;
-
-    let area1 = box1.area();
-    let area2 = box2.area();
-
-    let union = area1 + area2 - intersection;
-
-    if union > zero {
-        intersection / union
-    } else {
-        zero
-    }
 }

src/main.rs

@@ -27,7 +27,9 @@ pub fn main() -> Result<()> {
             let output = model
                 .detect_faces(
                     array.clone(),
-                    FaceDetectionConfig::default().with_threshold(detect.threshold),
+                    FaceDetectionConfig::default()
+                        .with_threshold(detect.threshold)
+                        .with_nms_threshold(detect.nms_threshold),
                 )
                 .change_context(errors::Error)
                 .attach_printable("Failed to detect faces")?;