common confidence scales

serengil · Feb 25, 2024 · 7ee55cb · 7ee55cb
1 parent 3ebcc82
commit 7ee55cb
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Showing 3 changed files with 8 additions and 2 deletions.
diff --git a/deepface/detectors/Dlib.py b/deepface/detectors/Dlib.py
@@ -90,6 +90,7 @@ def detect_faces(self, img: np.ndarray) -> List[FacialAreaRegion]:
                 left_eye = (shape.part(2).x, shape.part(2).y)
                 right_eye = (shape.part(0).x, shape.part(0).y)
 
+                # never saw confidence higher than +3.5 github.com/davisking/dlib/issues/761
                 confidence = scores[idx]
 
                 facial_area = FacialAreaRegion(
@@ -99,7 +100,7 @@ def detect_faces(self, img: np.ndarray) -> List[FacialAreaRegion]:
                     h=h,
                     left_eye=left_eye,
                     right_eye=right_eye,
-                    confidence=confidence,
+                    confidence=min(max(0, confidence), 1.0),
                 )
                 resp.append(facial_area)
 

diff --git a/deepface/detectors/OpenCv.py b/deepface/detectors/OpenCv.py
@@ -60,7 +60,7 @@ def detect_faces(self, img: np.ndarray) -> List[FacialAreaRegion]:
                     h=h,
                     left_eye=left_eye,
                     right_eye=right_eye,
-                    confidence=confidence,
+                    confidence=(100 - confidence) / 100,
                 )
                 resp.append(facial_area)
 

diff --git a/tests/visual-test.py b/tests/visual-test.py
@@ -31,6 +31,7 @@
     "yolov8",
 ]
 
+
 # verification
 for model_name in model_names:
     obj = DeepFace.verify(
@@ -46,6 +47,7 @@
         embedding = embedding_obj["embedding"]
         logger.info(f"{model_name} produced {len(embedding)}D vector")
 
+
 # find
 dfs = DeepFace.find(
     img_path="dataset/img1.jpg", db_path="dataset", model_name="Facenet", detector_backend="mtcnn"
@@ -54,6 +56,7 @@
     logger.info(df)
 
 
+
 # img_paths = ["dataset/img11.jpg", "dataset/img11_reflection.jpg", "dataset/couple.jpg"]
 img_paths = ["dataset/img11.jpg"]
 for img_path in img_paths:
@@ -84,6 +87,8 @@
                 assert isinstance(face_obj["facial_area"]["right_eye"][1], int)
 
             assert isinstance(face_obj["confidence"], float)
+            assert face_obj["confidence"] <= 1
+
             plt.imshow(face)
             plt.axis("off")
             plt.show()