diff --git a/samples/test/eval_mAP_on_coco_val/coco_eval.py b/samples/test/eval_mAP_on_coco_val/coco_eval.py
index 81391d5..b534d29 100644
--- a/samples/test/eval_mAP_on_coco_val/coco_eval.py
+++ b/samples/test/eval_mAP_on_coco_val/coco_eval.py
@@ -3,23 +3,23 @@ from pycocotools.cocoeval import COCOeval
 import os
 
 if __name__ == '__main__':
-  path = os.path.abspath(os.path.join(os.getcwd(),"../../.."))
-  pred_json = 'pd_coco.json'
-  anno_json = path + '/val2017/instances_val2017.json'
+    path = os.path.abspath(os.path.join(os.getcwd(),"../../.."))
+    pred_json = 'pd_coco.json'
+    anno_json = path + '/val2017/instances_val2017.json'
 
-  # use COCO API to load forecast results and annotations
-  cocoGt = COCO(anno_json)
-  cocoDt = cocoGt.loadRes(pred_json)
+    # use COCO API to load forecast results and annotations
+    cocoGt = COCO(anno_json)
+    cocoDt = cocoGt.loadRes(pred_json)
 
-  # create COCO eval object
-  cocoEval = COCOeval(cocoGt, cocoDt,'bbox')
+    # create COCO eval object
+    cocoEval = COCOeval(cocoGt, cocoDt,'bbox')
 
-  # assessment
-  cocoEval.evaluate()
-  cocoEval.accumulate()
-  cocoEval.summarize()
+    # assessment
+    cocoEval.evaluate()
+    cocoEval.accumulate()
+    cocoEval.summarize()
 
 
-  # save results
-  with open('coco_eval.txt', 'w') as f:
-    f.write(str(cocoEval.stats))
+    # save results
+    with open('coco_eval.txt', 'w') as f:
+        f.write(str(cocoEval.stats))