Update app.py

app.py

@@ -10,21 +10,44 @@ model_path = hf_hub_download(repo_id="arnabdhar/YOLOv8-Face-Detection", filename
 model = YOLO(model_path)
 
 def detect_faces(image):
-    
+
+    print(type(image))
+
     output = model(image)
     results = Detections.from_ultralytics(output[0])
 
     im = np.array(image)
     for i in results:
-        im = cv2.rectangle(im, (int(i[0][0]),int(i[0][1])), (int(i[0][2]),int(i[0][3])), (0,0,255), 2)
+        im = cv2.rectangle(im, (int(i[0][0]),int(i[0][1])), (int(i[0][2]),int(i[0][3])), (255,0,0), 2)
 
     image_np = np.array(image)
     gray_image = cv2.cvtColor(image_np, cv2.COLOR_RGB2GRAY)
-    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
-    faces = face_cascade.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(5, 5))
+    
+    face_cascade_face_1 = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
+    face_cascade_face_2 = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_alt.xml")
+    face_cascade_face_3 = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_alt2.xml")
+
+    faces1 = face_cascade_face_1.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(5, 5))
+    faces2 = face_cascade_face_2.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(5, 5))
+    faces3 = face_cascade_face_3.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(5, 5))
+    
+    if len(faces1) <= len(faces2):
+        if len(faces2) < len(faces3):
+            faces = faces3
+        else:
+            faces = faces2
+    else:
+        faces = faces1
+    print(len(faces1),len(faces2),len(faces3))
+
+    face_cascade_eye = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_eye.xml")
+    eyes = face_cascade_eye.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(5, 5))
+
     for (x, y, w, h) in faces:
         cv2.rectangle(image_np, (x, y), (x+w, y+h), (0, 255, 0), 2)
-    
+    for (x, y, w, h) in eyes:
+        cv2.rectangle(image_np, (x, y), (x+w, y+h), (0, 0, 255), 2)
+
     return (image_np,im)
 
 interface = gr.Interface(