diff --git a/exp/kerokero/prepare_data.py b/exp/kerokero/prepare_data.py
--- a/exp/kerokero/prepare_data.py
+++ b/exp/kerokero/prepare_data.py
@@ -37,7 +37,7 @@ class Sample:
 			m=np.matmul(mi,m)
 		m=np.matmul(self._computeCrop(m),m)
 		img=cv.warpPerspective(self.img,m,(self.SIDE,self.SIDE))
-		img=np.float32(img)/128-1
+		img=np.uint8(img)
 		grid=Corners(c.transform(m) for c in self.grid)
 		grid=list(map(lambda p: list(2*p/self.SIDE-EPoint(1,1)), grid))
 		return (img,grid)
@@ -108,8 +108,8 @@ def loadDataset(root):
 	labels=[labels[k] for k in keys]
 	m=int(n*trainRatio)
 	return (
-		(np.float32(images[:m]),np.float32(labels[:m])),
-		(np.float32(images[m:]),np.float32(labels[m:]))
+		(np.uint8(images[:m]),np.float32(labels[:m])),
+		(np.uint8(images[m:]),np.float32(labels[m:]))
 	)
 
 
diff --git a/exp/kerokero/test.py b/exp/kerokero/test.py
--- a/exp/kerokero/test.py
+++ b/exp/kerokero/test.py
@@ -24,7 +24,7 @@ model.summary()
 
 log.info("loading data...")
 with np.load(args.data) as data:
-	testImages=data["testImages"].reshape((-1,224,224,1))
+	testImages=(np.float32(data["testImages"])/128-1).reshape((-1,224,224,1))
 	testLabels=data["testLabels"].reshape((-1,4,2))
 log.info("done")
 
diff --git a/exp/kerokero/train.py b/exp/kerokero/train.py
--- a/exp/kerokero/train.py
+++ b/exp/kerokero/train.py
@@ -79,9 +79,9 @@ if args.load_model:
 
 log.info("loading data...")
 with np.load(args.data) as data:
-	trainImages=data["trainImages"].reshape((-1,224,224,1))
+	trainImages=(np.float32(data["trainImages"])/128-1).reshape((-1,224,224,1))
 	trainLabels=data["trainLabels"].reshape((-1,4,2))
-	testImages=data["testImages"].reshape((-1,224,224,1))
+	testImages=(np.float32(data["testImages"])/128-1).reshape((-1,224,224,1))
 	testLabels=data["testLabels"].reshape((-1,4,2))
 log.info("done")