verify_face, analyze_face functions and extract embedding functions tested

.python-version

@@ -1 +1 @@
-3.13
+3.12

detector/face.py

@@ -0,0 +1,61 @@
+from deepface import DeepFace
+import cv2
+import os
+
+def verify_faces(img1_path, img2_path, model_name="Facenet", detector_backend="opencv"):
+    """
+    Compares two face images and returns whether they belong to the same person.
+    """
+    try:
+        result = DeepFace.verify(
+            img1_path, 
+            img2_path,
+            model_name=model_name,
+            detector_backend=detector_backend,
+            enforce_detection=True
+        )
+        
+        return {
+            "verified": result["verified"],
+            "distance": result["distance"],
+            "threshold": result["threshold"],
+            "model": model_name
+        }
+        
+    except Exception as e:
+        return {"error": str(e)}
+
+
+def analyze_face(img_path, actions=["age", "gender", "emotion"], detector_backend="opencv"):
+    """
+    Analyze attributes of a face in the image.
+    """
+    try:
+        analysis = DeepFace.analyze(
+            img_path=img_path,
+            actions=actions,
+            detector_backend=detector_backend,
+            enforce_detection=True
+        )
+        
+        return analysis[0] if isinstance(analysis, list) else analysis
+    
+    except Exception as e:
+        return {"error": str(e)}
+    
+def extract_embedding(img_path, model_name="Facenet", detector_backend="opencv"):
+    """
+    Extract a face embedding from an image.
+    """
+    try:
+        embedding = DeepFace.represent(
+            img_path=img_path,
+            model_name=model_name,
+            detector_backend=detector_backend,
+            enforce_detection=True
+        )
+        
+        return embedding[0] if isinstance(embedding, list) else embedding
+    
+    except Exception as e:
+        return {"error": str(e)}

pyproject.toml

@@ -3,7 +3,10 @@ name = "deepfake-watchdog"
 version = "0.1.0"
 description = "Add your description here"
 readme = "README.md"
-requires-python = ">=3.13"
+requires-python = ">=3.12"
 dependencies = [
+    "deepface>=0.0.93",
     "gradio[mcp]>=5.32.1",
+    "opencv-python-headless>=4.11.0.86",
+    "tf-keras>=2.19.0",
 ]

test.py

@@ -0,0 +1,7 @@
+from detector.face import verify_faces, analyze_face
+
+# result = verify_faces('./assets/demo_files/bezos1.jpg', './assets/demo_files/diesel1.jpg')
+# print(result)
+
+analysis = analyze_face('./assets/demo_files/gates1.jpg')
+print(analysis)