Update app.py

app.py

@@ -33,29 +33,26 @@ def draw_landmarks_on_image(rgb_image, detection_result):
             landmark_list=face_landmarks_proto,
             connections=mp.solutions.face_mesh.FACEMESH_TESSELATION,
             landmark_drawing_spec=None,
-            connection_drawing_spec=mp.solutions.drawing_styles
-            .get_default_face_mesh_tesselation_style())
+            connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_tesselation_style())
         mp.solutions.drawing_utils.draw_landmarks(
             image=annotated_image,
             landmark_list=face_landmarks_proto,
             connections=mp.solutions.face_mesh.FACEMESH_CONTOURS,
             landmark_drawing_spec=None,
-            connection_drawing_spec=mp.solutions.drawing_styles
-            .get_default_face_mesh_contours_style())
+            connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_contours_style())
         mp.solutions.drawing_utils.draw_landmarks(
             image=annotated_image,
             landmark_list=face_landmarks_proto,
             connections=mp.solutions.face_mesh.FACEMESH_IRISES,
             landmark_drawing_spec=None,
-            connection_drawing_spec=mp.solutions.drawing_styles
-            .get_default_face_mesh_iris_connections_style())
+            connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_iris_connections_style())
     return annotated_image
 
-# Gradio için gerçek zamanlı video akışı işleme fonksiyonu
-def process_frame(frame):
+# Görseli işleyen fonksiyon
+def process_image(image):
     # OpenCV görüntüsünü Mediapipe formatına dönüştür
-    rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-    mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=rgb_frame)
+    rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+    mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=rgb_image)
 
     # Yüz yer işaretlerini algıla
     detection_result = detector.detect(mp_image)
@@ -74,33 +71,18 @@ def process_frame(frame):
         right_eye_status = "Kapalı" if blink_right > 0.5 else "Açık"
 
         # Landmarkları çizin
-        annotated_image = draw_landmarks_on_image(rgb_frame, detection_result)
-
-        # # Çerçeveye göz durumunu yaz
-        # cv2.putText(annotated_image, f"Sol Goz: {left_eye_status}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
-        # cv2.putText(annotated_image, f"Sag Goz: {right_eye_status}", (10, 60), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
+        annotated_image = draw_landmarks_on_image(rgb_image, detection_result)
 
         return cv2.cvtColor(annotated_image, cv2.COLOR_RGB2BGR), left_eye_status, right_eye_status
     else:
-        return frame, "Göz Tespiti Yok", "Göz Tespiti Yok"
+        return image, "Göz Tespiti Yok", "Göz Tespiti Yok"
 
 # Gradio arayüzü
-def video_feed():
-    cap = cv2.VideoCapture(0)
-    while True:
-        success, frame = cap.read()
-        if not success:
-            break
-        
-        frame, left_eye_status, right_eye_status = process_frame(frame)
-        yield frame, left_eye_status, right_eye_status
-
-iface = gr.Interface(fn=video_feed,
-                     inputs=None,  # Giriş yok, sadece video akışı
+iface = gr.Interface(fn=process_image,
+                     inputs=gr.Image(type="numpy", label="Görsel Yükleyin"),  # Giriş olarak görsel al
                      outputs=[gr.Image(type="numpy", label="Yüz Tespiti Sonucu"),
                               gr.Textbox(label="Sol Göz Durumu"),
-                              gr.Textbox(label="Sağ Göz Durumu")],
-                     live=True)
+                              gr.Textbox(label="Sağ Göz Durumu")])
 
 # Gradio arayüzünü başlat
 iface.launch(share=True)