diff --git a/exp/kerokero/test.py b/exp/kerokero/test.py
--- a/exp/kerokero/test.py
+++ b/exp/kerokero/test.py
@@ -3,6 +3,7 @@ import logging as log
 
 import numpy as np
 from keras.models import load_model
+from keras.applications.inception_v3 import preprocess_input
 
 from prepare_data import loadDataset,Sample
 from analyzer.epoint import EPoint
@@ -16,23 +17,22 @@ parser.add_argument("data")
 args=parser.parse_args()
 
 model=load_model(args.model)
+model.summary()
 
 log.info("loading data...")
 with np.load(args.data) as data:
-	trainImages=data["trainImages"]
-	trainLabels=data["trainLabels"]
 	testImages=data["testImages"]
 	testLabels=data["testLabels"]
 log.info("done")
 
-log.info(model.evaluate(testImages.reshape((-1,224,224,1)),testLabels))
+log.info(model.evaluate(preprocess_input(testImages).reshape((-1,224,224,3)),testLabels))
 
 for img in testImages:
-	label=model.predict(np.reshape(img,(1,224,224,1)))
+	label=model.predict(preprocess_input(np.reshape(img,(1,224,224,3))))
 	print(label)
 	points=[]
 	for i in range(4):
 		points.append(EPoint((label[0][i*2]+1)*112,(label[0][i*2+1]+1)*112))
 	corners=Corners(points)
-	sample=Sample(np.uint8(img*255),corners)
+	sample=Sample(img,corners)
 	sample.show()