diff --git a/exp/kerokero/test.py b/exp/kerokero/test.py
--- a/exp/kerokero/test.py
+++ b/exp/kerokero/test.py
@@ -3,12 +3,17 @@ import logging as log
 
 import numpy as np
 from keras.models import load_model
+import keras.losses
+import keras.metrics
 
 from prepare_data import loadDataset,Sample
 from analyzer.epoint import EPoint
 from analyzer.corners import Corners
+from k_util import averageDistance
 import config as cfg
 
+keras.losses.averageDistance=averageDistance
+keras.metrics.averageDistance=averageDistance
 
 parser=argparse.ArgumentParser()
 parser.add_argument("model")
@@ -24,14 +29,14 @@ with np.load(args.data) as data:
 	testLabels=data["testLabels"]
 log.info("done")
 
-log.info(model.evaluate(testImages.reshape((-1,224,224,1)),testLabels))
+log.info(model.evaluate(testImages.reshape((-1,224,224,1)),testLabels.reshape((-1,4,2))))
 
 for img in testImages:
 	label=model.predict(np.reshape(img,(1,224,224,1)))
 	print(label)
 	points=[]
 	for i in range(4):
-		points.append(EPoint((label[0][i*2]+1)*112,(label[0][i*2+1]+1)*112))
+		points.append(EPoint((label[0][i][0]+1)*112,(label[0][i][1]+1)*112))
 	corners=Corners(points)
 	sample=Sample(np.uint8((img+1)*128),corners)
 	sample.show()