diff --git a/exp/kerokero/k_util.py b/exp/kerokero/k_util.py
new file mode 100644
--- /dev/null
+++ b/exp/kerokero/k_util.py
@@ -0,0 +1,14 @@
+import math
+
+import keras.backend as K
+
+def singleUnorderedLoss(yTrue,yPred):
+	d1=sum(math.sqrt(min((yTrue[i*2]-yPred[j*2])**2+(yTrue[i*2+1]-yPred[j*2+1])**2 for j in range(4))) for i in range(4))
+	d2=sum(math.sqrt(min((yTrue[i*2]-yPred[j*2])**2+(yTrue[i*2+1]-yPred[j*2+1])**2 for i in range(4))) for j in range(4))
+	return (d1+d2)/2
+
+
+def averageDistance(yTrue,yPred):
+	squares=K.square(yTrue-yPred)
+	distances=K.sqrt(K.sum(squares,-1))
+	return K.mean(distances,-1)