Update app.py

app.py

@@ -12,8 +12,9 @@ model = cv2.dnn_DetectionModel(net)
 model.setInputParams(scale=1 / 255, size=(416, 416), swapRB=True)
 
 def detect(image):
-    img = Image.fromarray(image)
-    img = cv2.cvtColor(np.array(img), cv2.COLOR_BGR2RGB)
+    #img = Image.fromarray(image)
+    #img = cv2.cvtColor(np.array(img), cv2.COLOR_BGR2RGB)
+    img = cv2.cv.fromarray(image)
     classIds, scores, boxes = model.detect(img, confThreshold=0.6, nmsThreshold=0.4)
 
     for (classId, score, box) in zip(classIds, scores, boxes):