add #/usr/bin/env python to all python files

samples/python2/_coverage.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Utility for measuring python opencv API coverage by samples.
 '''

samples/python2/_doc.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Scans current directory for *.py files and reports
 ones with missing __doc__ string.

samples/python2/asift.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Affine invariant feature-based image matching sample.
 

samples/python2/browse.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 browse.py
 =========

samples/python2/calibrate.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 import numpy as np
 import cv2
 import os

samples/python2/camshift.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Camshift tracker
 ================

samples/python2/coherence.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Coherence-enhancing filtering example
 =====================================

samples/python2/color_histogram.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 import numpy as np
 import cv2
 from time import clock

samples/python2/common.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 This module contais some common routines used by other samples.
 '''

samples/python2/contours.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 This program illustrates the use of findContours and drawContours.
 The original image is put up along with the image of drawn contours.

samples/python2/deconvolution.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Wiener deconvolution.
 

samples/python2/demo.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Sample-launcher application.
 '''

samples/python2/digits.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 SVM and KNearest digit recognition.
 

samples/python2/digits_adjust.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Digit recognition adjustment.
 Grid search is used to find the best parameters for SVM and KNearest classifiers.

samples/python2/digits_video.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 import numpy as np
 import cv2
 import os

samples/python2/distrans.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Distance transform sample.
 

samples/python2/edge.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 This sample demonstrates Canny edge detection.
 

samples/python2/facedetect.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 import numpy as np
 import cv2
 import cv2.cv as cv

samples/python2/feature_homography.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Feature homography
 ==================

samples/python2/find_obj.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Feature-based image matching sample.
 

samples/python2/fitline.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Robust line fitting.
 ==================

samples/python2/floodfill.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Floodfill sample.
 

samples/python2/gabor_threads.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 gabor_threads.py
 =========

samples/python2/gaussian_mix.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 import numpy as np
 from numpy import random
 import cv2

samples/python2/hist.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 ''' This is a sample for histogram plotting for RGB images and grayscale images for better understanding of colour distribution
 
 Benefit : Learn how to draw histogram of images

samples/python2/inpaint.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Inpainting sample.
 

samples/python2/kmeans.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 K-means clusterization sample.
 Usage:

samples/python2/lappyr.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 ''' An example of Laplacian Pyramid construction and merging.
 
 Level : Intermediate

samples/python2/letter_recog.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 The sample demonstrates how to train Random Trees classifier
 (or Boosting classifier, or MLP, or Knearest, or Support Vector Machines) using the provided dataset.

samples/python2/lk_homography.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Lucas-Kanade homography tracker
 ===============================

samples/python2/lk_track.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Lucas-Kanade tracker
 ====================

samples/python2/morphology.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Morphology operations.
 

samples/python2/mosse.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 MOSSE tracking sample
 

samples/python2/motempl.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 import numpy as np
 import cv2
 import video

samples/python2/mouse_and_match.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 #!/usr/bin/env python
 '''
 mouse_and_match.py [-i path | --input path: default ./]

samples/python2/mser.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 MSER detector demo
 ==================

samples/python2/opt_flow.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 import numpy as np
 import cv2
 import video

samples/python2/peopledetect.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 import numpy as np
 import cv2
 

samples/python2/plane_ar.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Planar augmented reality
 ==================

samples/python2/plane_tracker.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Multitarget planar tracking
 ==================

samples/python2/squares.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Simple "Square Detector" program.
 

samples/python2/stereo_match.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Simple example of stereo image matching and point cloud generation.
 

samples/python2/texture_flow.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Texture flow direction estimation.
 

samples/python2/turing.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Multiscale Turing Patterns generator
 ====================================

samples/python2/video.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Video capture sample.
 

samples/python2/video_dmtx.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Data matrix detector sample.
 Usage:

samples/python2/video_threaded.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Multithreaded video processing sample.
 Usage:

samples/python2/watershed.py

@@ -1,3 +1,5 @@
+#/usr/bin/env python
+
 '''
 Watershed segmentation
 =========