Soft Non-Maximum Suppression (#2400)

* Soft NMS with thresholds

* NMS Test

* Soft nms w/ boxes removed below threshold

* Soft nms test

* No longer removing bounding boxes to fit Soft-NMS focus

* Initialize confidence

* Added comments

* Refactored out updating based on IOU/sigma

* Score_threshold -> confidence_threshold for clarity

* Remove bboxes below confidence threshold

* Softnms basic functionality test

* Softnms confidence decay test

* Softnms confidence threshold test

* Softnms no overlapping bbox test

* Testing confidence after no overlap test

* Single bbox and no bbox tests

* Signify test completion

* Handling result of test functions

* Checking all pairs of bboxes instead of a forward pass

* Equal confidence overlap test

* Clarified tests for implementation

* No longer dropping boxes, just setting to 0.0

* Formatted w/ cargo

candle-transformers/tests/nms_tests.rs

@@ -0,0 +1,222 @@
+use candle::Result;
+use candle_transformers::object_detection::{
+    non_maximum_suppression, soft_non_maximum_suppression, Bbox,
+};
+
+#[test]
+fn nms_basic() -> Result<()> {
+    // Boxes based upon https://thepythoncode.com/article/non-maximum-suppression-using-opencv-in-python
+    let mut bboxes = vec![vec![
+        Bbox {
+            xmin: 245.0,
+            ymin: 305.0,
+            xmax: 575.0,
+            ymax: 490.0,
+            confidence: 0.9,
+            data: (),
+        }, // Box 1
+        Bbox {
+            xmin: 235.0,
+            ymin: 300.0,
+            xmax: 485.0,
+            ymax: 515.0,
+            confidence: 0.8,
+            data: (),
+        }, // Box 2
+        Bbox {
+            xmin: 305.0,
+            ymin: 270.0,
+            xmax: 540.0,
+            ymax: 500.0,
+            confidence: 0.6,
+            data: (),
+        }, // Box 3
+    ]];
+
+    non_maximum_suppression(&mut bboxes, 0.5);
+    let bboxes = bboxes.into_iter().next().unwrap();
+    assert_eq!(bboxes.len(), 1);
+    assert_eq!(bboxes[0].confidence, 0.9);
+
+    Ok(())
+}
+
+#[test]
+fn softnms_basic_functionality() -> Result<()> {
+    let mut bboxes = vec![vec![
+        Bbox {
+            xmin: 0.0,
+            ymin: 0.0,
+            xmax: 1.0,
+            ymax: 1.0,
+            confidence: 0.5,
+            data: (),
+        },
+        Bbox {
+            xmin: 0.1,
+            ymin: 0.1,
+            xmax: 1.1,
+            ymax: 1.1,
+            confidence: 0.9,
+            data: (),
+        },
+        Bbox {
+            xmin: 0.2,
+            ymin: 0.2,
+            xmax: 1.2,
+            ymax: 1.2,
+            confidence: 0.6,
+            data: (),
+        },
+    ]];
+
+    soft_non_maximum_suppression(&mut bboxes, Some(0.5), Some(0.1), Some(0.5));
+
+    // Should decay boxes following highest confidence box
+    assert!(bboxes[0][0].confidence == 0.9);
+    assert!(bboxes[0][1].confidence < 0.5);
+    assert!(bboxes[0][2].confidence < 0.6);
+    Ok(())
+}
+
+#[test]
+fn softnms_confidence_decay() -> Result<()> {
+    let mut bboxes = vec![vec![
+        Bbox {
+            xmin: 0.0,
+            ymin: 0.0,
+            xmax: 1.0,
+            ymax: 1.0,
+            confidence: 0.9,
+            data: (),
+        }, // Reference box
+        Bbox {
+            xmin: 0.1,
+            ymin: 0.1,
+            xmax: 1.1,
+            ymax: 1.1,
+            confidence: 0.8,
+            data: (),
+        }, // Overlapping box
+    ]];
+
+    soft_non_maximum_suppression(&mut bboxes, Some(0.5), Some(0.1), Some(0.5));
+
+    // Check that confidence of the overlapping box is decayed
+    assert!(bboxes[0][0].confidence == 0.9);
+    assert!(bboxes[0][1].confidence < 0.8);
+    Ok(())
+}
+
+#[test]
+fn softnms_confidence_threshold() -> Result<()> {
+    let mut bboxes = vec![vec![
+        Bbox {
+            xmin: 0.0,
+            ymin: 0.0,
+            xmax: 1.0,
+            ymax: 1.0,
+            confidence: 0.9,
+            data: (),
+        },
+        Bbox {
+            xmin: 0.1,
+            ymin: 0.1,
+            xmax: 1.1,
+            ymax: 1.1,
+            confidence: 0.05,
+            data: (),
+        },
+    ]];
+
+    soft_non_maximum_suppression(&mut bboxes, Some(0.5), Some(0.1), Some(0.5));
+
+    // Box with confidence below the threshold should be removed
+    assert_eq!(bboxes[0].len(), 2);
+    assert_eq!(bboxes[0][0].confidence, 0.9);
+    assert_eq!(bboxes[0][1].confidence, 0.00);
+    Ok(())
+}
+
+#[test]
+fn softnms_no_overlap() -> Result<()> {
+    let mut bboxes = vec![vec![
+        Bbox {
+            xmin: 0.0,
+            ymin: 0.0,
+            xmax: 1.0,
+            ymax: 1.0,
+            confidence: 0.9,
+            data: (),
+        },
+        Bbox {
+            xmin: 2.0,
+            ymin: 2.0,
+            xmax: 3.0,
+            ymax: 3.0,
+            confidence: 0.8,
+            data: (),
+        },
+    ]];
+
+    soft_non_maximum_suppression(&mut bboxes, Some(0.5), Some(0.1), Some(0.5));
+
+    // Both boxes should remain as they do not significantly overlap
+    assert_eq!(bboxes[0].len(), 2);
+    assert_eq!(bboxes[0][0].confidence, 0.9);
+    assert_eq!(bboxes[0][1].confidence, 0.8);
+    Ok(())
+}
+#[test]
+fn softnms_no_bbox() -> Result<()> {
+    let mut bboxes: Vec<Vec<Bbox<()>>> = vec![];
+    soft_non_maximum_suppression(&mut bboxes, Some(0.5), Some(0.1), Some(0.5));
+    assert!(bboxes.is_empty());
+    Ok(())
+}
+
+#[test]
+fn softnms_single_bbox() -> Result<()> {
+    let mut bboxes = vec![vec![Bbox {
+        xmin: 0.0,
+        ymin: 0.0,
+        xmax: 1.0,
+        ymax: 1.0,
+        confidence: 0.9,
+        data: (),
+    }]];
+    soft_non_maximum_suppression(&mut bboxes, Some(0.5), Some(0.1), Some(0.5));
+    assert_eq!(bboxes[0].len(), 1);
+    Ok(())
+}
+
+#[test]
+fn softnms_equal_confidence_overlap() -> Result<()> {
+    let mut bboxes = vec![vec![
+        Bbox {
+            xmin: 0.0,
+            ymin: 0.0,
+            xmax: 1.0,
+            ymax: 1.0,
+            confidence: 0.5,
+            data: (),
+        },
+        Bbox {
+            xmin: 0.1,
+            ymin: 0.1,
+            xmax: 1.1,
+            ymax: 1.1,
+            confidence: 0.5,
+            data: (),
+        },
+    ]];
+
+    soft_non_maximum_suppression(&mut bboxes, Some(0.5), Some(0.1), Some(0.5));
+
+    // First box will be reference box, second box should be decayed
+    // Implementation must change to have both be decayed
+    assert_eq!(bboxes[0].len(), 2);
+    assert!(bboxes[0][0].confidence == 0.5);
+    assert!(bboxes[0][1].confidence < 0.5);
+    Ok(())
+}