print() is a function in Python 3

samples/dnn/fast_neural_style.py

@@ -1,3 +1,4 @@
+from __future__ import print_function
 import cv2 as cv
 import numpy as np
 import argparse
@@ -43,7 +44,7 @@ while cv.waitKey(1) < 0:
 
     t, _ = net.getPerfProfile()
     freq = cv.getTickFrequency() / 1000
-    print t / freq, 'ms'
+    print(t / freq, 'ms')
 
     if args.median_filter:
         out = cv.medianBlur(out, args.median_filter)

samples/dnn/mobilenet_ssd_accuracy.py

@@ -1,3 +1,4 @@
+from __future__ import print_function
 # Script to evaluate MobileNet-SSD object detection model trained in TensorFlow
 # using both TensorFlow and OpenCV. Example:
 #
@@ -115,14 +116,14 @@ pylab.rcParams['figure.figsize'] = (10.0, 8.0)
 annType = ['segm','bbox','keypoints']
 annType = annType[1]      #specify type here
 prefix = 'person_keypoints' if annType=='keypoints' else 'instances'
-print 'Running demo for *%s* results.'%(annType)
+print('Running demo for *%s* results.'%(annType))
 
 #initialize COCO ground truth api
 cocoGt=COCO(args.annotations)
 
 #initialize COCO detections api
 for resFile in ['tf_result.json', 'cv_result.json']:
-    print resFile
+    print(resFile)
     cocoDt=cocoGt.loadRes(resFile)
 
     cocoEval = COCOeval(cocoGt,cocoDt,annType)