init

app.py

@@ -5,6 +5,7 @@ from z_app_factory import get_app
 
 def inference(image):
     image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+    annotated_image = image.copy()
     lst2d_res = get_app(image)
     thickness = 3
     lineType = 8
@@ -16,18 +17,18 @@ def inference(image):
         point_color = (0, int(255 * score), 0) # BGR
         x1, y1 = bbox[:2]
         x2, y2 = bbox[2:]
-        cv2.putText(image, str(score)[:4], (x1, y1 - 10), font, 0.8, (0, 255, 0), 2)
-        cv2.line(image, (x1, y1), (x2, y1), point_color, thickness, lineType)
-        cv2.line(image, (x2, y1), (x2, y2), point_color, thickness, lineType)
-        cv2.line(image, (x1, y1), (x1, y2), point_color, thickness, lineType)
-        cv2.line(image, (x1, y2), (x2, y2), point_color, thickness, lineType)
+        cv2.putText(annotated_image, str(score)[:4], (x1, y1 - 10), font, 0.8, (0, 255, 0), 2)
+        cv2.line(annotated_image, (x1, y1), (x2, y1), point_color, thickness, lineType)
+        cv2.line(annotated_image, (x2, y1), (x2, y2), point_color, thickness, lineType)
+        cv2.line(annotated_image, (x1, y1), (x1, y2), point_color, thickness, lineType)
+        cv2.line(annotated_image, (x1, y2), (x2, y2), point_color, thickness, lineType)
 
         for kp in face["kps"]:
             x, y = [int(i) for i in kp]
-            cv2.circle(image, (x, y), 2, (2, 30, 200), 2)
+            cv2.circle(annotated_image, (x, y), 2, (2, 30, 200), 2)
 
-    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
-    return image
+    annotated_image = cv2.cvtColor(annotated_image, cv2.COLOR_RGB2BGR)
+    return annotated_image