<s> import numpy as np <EOL> import cv2 <EOL> import sys <EOL> if sys . version_info . major == <NUM_LIT:2> : <EOL> from urllib import urlopen <EOL> elif sys . version_info . major == <NUM_LIT:3> : <EOL> from urllib . request import urlopen <EOL> def translate ( image , x , y ) : <EOL> M = np . float32 ( [ [ <NUM_LIT:1> , <NUM_LIT:0> , x ] , [ <NUM_LIT:0> , <NUM_LIT:1> , y ] ] ) <EOL> shifted = cv2 . warpAffine ( image , M , ( image . shape [ <NUM_LIT:1> ] , image . shape [ <NUM_LIT:0> ] ) ) <EOL> return shifted <EOL> def rotate ( image , angle , center = None , scale = <NUM_LIT:1.0> ) : <EOL> ( h , w ) = image . shape [ : <NUM_LIT:2> ] <EOL> if center is None : <EOL> center = ( w / <NUM_LIT:2> , h / <NUM_LIT:2> ) <EOL> M = cv2 . getRotationMatrix2D ( center , angle , scale ) <EOL> rotated = cv2 . warpAffine ( image , M , ( w , h ) ) <EOL> return rotated <EOL> def resize ( image , width = None , height = None , inter = cv2 . INTER_AREA ) : <EOL> dim = None <EOL> ( h , w ) = image . shape [ : <NUM_LIT:2> ] <EOL> if width is None and height is None : <EOL> return image <EOL> if width is None : <EOL> r = height / float ( h ) <EOL> dim = ( int ( w * r ) , height ) <EOL> else : <EOL> r = width / float ( w ) <EOL> dim = ( width , int ( h * r ) ) <EOL> resized = cv2 . resize ( image , dim , interpolation = inter ) <EOL> return resized <EOL> def skeletonize ( image , size , structuring = cv2 . MORPH_RECT ) : <EOL> area = image . shape [ <NUM_LIT:0> ] * image . shape [ <NUM_LIT:1> ] <EOL> skeleton = np . zeros ( image . shape , dtype = "<STR_LIT>" ) <EOL> elem = cv2 . getStructuringElement ( structuring , size ) <EOL> while True : <EOL> eroded = cv2 . erode ( image , elem ) <EOL> temp = cv2 . dilate ( eroded , elem ) <EOL> temp = cv2 . subtract ( image , temp ) <EOL> skeleton = cv2 . bitwise_or ( skeleton , temp ) <EOL> image = eroded . copy ( ) <EOL> if area == area - cv2 . countNonZero ( image ) : <EOL> break <EOL> return skeleton <EOL> def opencv2matplotlib ( image ) : <EOL> return cv2 . cvtColor ( image , cv2 . COLOR_BGR2RGB ) <EOL> def url_to_image ( url , readFlag = cv2 . IMREAD_COLOR ) : <EOL> resp = urlopen ( url ) <EOL> image = np . asarray ( bytearray ( resp . read ( ) ) , dtype = "<STR_LIT>" ) <EOL> image = cv2 . imdecode ( image , readFlag ) <EOL> return image <EOL> def auto_canny ( image , sigma = <NUM_LIT> ) : <EOL> v = np . median ( image ) <EOL> lower = int ( max ( <NUM_LIT:0> , ( <NUM_LIT:1.0> - sigma ) * v ) ) <EOL> upper = int ( min ( <NUM_LIT:255> , ( <NUM_LIT:1.0> + sigma ) * v ) ) <EOL> edged = cv2 . Canny ( image , lower , upper ) <EOL> return edged <EOL> def is_cv2 ( ) : <EOL> return check_opencv_version ( "<STR_LIT>" ) <EOL> def is_cv3 ( ) : <EOL> return check_opencv_version ( "<STR_LIT>" ) <EOL> def check_opencv_version ( major , lib = None ) : <EOL> if lib is None : <EOL> import cv2 as lib <EOL> return lib . __version__ . startswith ( major ) </s>
