diff --git a/fluid/object_detection/image_util.py b/fluid/object_detection/image_util.py
index e538449aa9f9ce15e7730de293a98fe753403a87..b8464cfe8745b33249a8da3427689aec6904cd99 100644
--- a/fluid/object_detection/image_util.py
+++ b/fluid/object_detection/image_util.py
@@ -85,8 +85,7 @@ def satisfy_sample_constraint(sampler, sample_bbox, bbox_labels):
     return False
 
 
-def generate_batch_samples(batch_sampler, bbox_labels, image_width,
-                           image_height):
+def generate_batch_samples(batch_sampler, bbox_labels):
     sampled_bbox = []
     index = []
     c = 0
@@ -217,8 +216,8 @@ def distort_image(img, settings):
 def expand_image(img, bbox_labels, img_width, img_height, settings):
     prob = random.uniform(0, 1)
     if prob < settings._expand_prob:
-        expand_ratio = random.uniform(1, settings._expand_max_ratio)
-        if expand_ratio - 1 >= 0.01:
+        if _expand_max_ratio - 1 >= 0.01:
+            expand_ratio = random.uniform(1, settings._expand_max_ratio)
             height = int(img_height * expand_ratio)
             width = int(img_width * expand_ratio)
             h_off = math.floor(random.uniform(0, height - img_height))
@@ -231,5 +230,5 @@ def expand_image(img, bbox_labels, img_width, img_height, settings):
             expand_img = Image.fromarray(expand_img)
             expand_img.paste(img, (int(w_off), int(h_off)))
             bbox_labels = transform_labels(bbox_labels, expand_bbox)
-            return expand_img, bbox_labels
-    return img, bbox_labels
+            return expand_img, bbox_labels, width, height
+    return img, bbox_labels, img_width, img_height
diff --git a/fluid/object_detection/reader.py b/fluid/object_detection/reader.py
index 47f78f6343c155c2d5b034bafed3a78426f19fdc..43c54b4c4f0ed84c35ba98f84a76cf390fd47afd 100644
--- a/fluid/object_detection/reader.py
+++ b/fluid/object_detection/reader.py
@@ -193,7 +193,7 @@ def _reader_creator(settings, file_list, mode, shuffle):
                     if settings._apply_distort:
                         img = image_util.distort_image(img, settings)
                     if settings._apply_expand:
-                        img, bbox_labels = image_util.expand_image(
+                        img, bbox_labels, img_width, img_height = image_util.expand_image(
                             img, bbox_labels, img_width, img_height, settings)
                     batch_sampler = []
                     # hard-code here
@@ -236,7 +236,6 @@ def _reader_creator(settings, file_list, mode, shuffle):
                         sample_labels[i][1] = 1 - sample_labels[i][3]
                         sample_labels[i][3] = 1 - tmp
 
-            #draw_bounding_box_on_image(img, sample_labels, image_name, category_names, normalized=True)
             # HWC to CHW
             if len(img.shape) == 3:
                 img = np.swapaxes(img, 1, 2)
@@ -287,7 +286,6 @@ def draw_bounding_box_on_image(image,
              (left, top)],
             width=thickness,
             fill=color)
-        #draw.rectangle([xmin, ymin, xmax, ymax], outline=color)
         if with_text:
             if image.mode == 'RGB':
                 draw.text((left, top), category_name, (255, 255, 0))