diff --git a/clashroyalebuildabot/detectors/number_detector.py b/clashroyalebuildabot/detectors/number_detector.py
index 373a953..5770a7d 100644
--- a/clashroyalebuildabot/detectors/number_detector.py
+++ b/clashroyalebuildabot/detectors/number_detector.py
@@ -70,11 +70,7 @@ def _post_process(self, pred):
         return clean_pred
 
     def _preprocess(self, image):
-        image = self.resize(image)
-        image = np.array(image, dtype=np.float32)
-        image, padding = self.pad(image)
-        image = image.transpose(2, 0, 1)
-        image /= 255
+        image, padding = self.resize_pad_transpose_and_scale(image)
         return image, padding
 
     def run(self, image):
@@ -86,8 +82,7 @@ def run(self, image):
             crops.append(crop)
             paddings.append(padding)
 
-        crops = np.array(crops, dtype=np.float16)
-        preds = self._infer(crops).astype(np.float32)
+        preds = self._infer(crops)
 
         for i, padding in enumerate(paddings):
             preds[i] = self.fix_bboxes(
diff --git a/clashroyalebuildabot/detectors/onnx_detector.py b/clashroyalebuildabot/detectors/onnx_detector.py
index bba967a..f3bf924 100644
--- a/clashroyalebuildabot/detectors/onnx_detector.py
+++ b/clashroyalebuildabot/detectors/onnx_detector.py
@@ -49,6 +49,14 @@ def pad(self, x):
         )
         return x, padding
 
+    def resize_pad_transpose_and_scale(self, image):
+        image = self.resize(image)
+        image = np.array(image, dtype=np.float16)
+        image, padding = self.pad(image)
+        image = image.transpose(2, 0, 1)
+        image /= 255
+        return image, padding
+
     def fix_bboxes(self, x, width, height, padding):
         x[:, [0, 2]] -= padding[0]
         x[:, [1, 3]] -= padding[2]
diff --git a/clashroyalebuildabot/detectors/unit_detector.py b/clashroyalebuildabot/detectors/unit_detector.py
index 1fd1bbe..9d77986 100644
--- a/clashroyalebuildabot/detectors/unit_detector.py
+++ b/clashroyalebuildabot/detectors/unit_detector.py
@@ -67,11 +67,8 @@ def _preprocess(self, image):
                 self.UNIT_Y_END * image.height,
             )
         )
-        image = self.resize(image)
-        image = np.array(image, dtype=np.float32)
-        image, padding = self.pad(image)
-        image = np.expand_dims(image.transpose(2, 0, 1), axis=0)
-        image /= 255
+        image, padding = self.resize_pad_transpose_and_scale(image)
+        image = np.expand_dims(image, axis=0)
         return image, padding
 
     def _post_process(self, pred, height, image):
@@ -99,7 +96,7 @@ def _post_process(self, pred, height, image):
     def run(self, image):
         height, width = image.height, image.width
         np_image, padding = self._preprocess(image)
-        pred = self._infer(np_image.astype(np.float16)).astype(np.float32)[0]
+        pred = self._infer(np_image)[0]
         pred = pred[pred[:, 4] > self.MIN_CONF]
         pred = self.fix_bboxes(pred, width, height, padding)
         pred = self._post_process(pred, height, image)