samples: use findFile() in "python"

samples/python/tutorial_code/imgProc/Pyramids/pyramids.py

@@ -11,10 +11,10 @@ def main(argv):
     * [ESC] -> Close program
     """)
     ## [load]
-    filename = argv[0] if len(argv) > 0 else "../data/chicky_512.png"
+    filename = argv[0] if len(argv) > 0 else 'chicky_512.png'
 
     # Load the image
-    src = cv.imread(filename)
+    src = cv.imread(cv.samples.findFile(filename))
 
     # Check if image is loaded fine
     if src is None:

samples/python/tutorial_code/imgProc/Smoothing/smoothing.py

@@ -17,10 +17,10 @@ def main(argv):
     cv.namedWindow(window_name, cv.WINDOW_AUTOSIZE)
 
     # Load the source image
-    imageName = argv[0] if len(argv) > 0 else "../data/lena.jpg"
+    imageName = argv[0] if len(argv) > 0 else 'lena.jpg'
 
     global src
-    src = cv.imread(imageName, 1)
+    src = cv.imread(cv.samples.findFile(imageName))
     if src is None:
         print ('Error opening image')
         print ('Usage: smoothing.py [image_name -- default ../data/lena.jpg] \n')

samples/python/tutorial_code/imgProc/changing_contrast_brightness_image/BasicLinearTransforms.py

@@ -7,10 +7,10 @@ import argparse
 # Read image given by user
 ## [basic-linear-transform-load]
 parser = argparse.ArgumentParser(description='Code for Changing the contrast and brightness of an image! tutorial.')
-parser.add_argument('--input', help='Path to input image.', default='../data/lena.jpg')
+parser.add_argument('--input', help='Path to input image.', default='lena.jpg')
 args = parser.parse_args()
 
-image = cv.imread(args.input)
+image = cv.imread(cv.samples.findFile(args.input))
 if image is None:
     print('Could not open or find the image: ', args.input)
     exit(0)

samples/python/tutorial_code/imgProc/changing_contrast_brightness_image/changing_contrast_brightness_image.py

@@ -44,10 +44,10 @@ def on_gamma_correction_trackbar(val):
     gammaCorrection()
 
 parser = argparse.ArgumentParser(description='Code for Changing the contrast and brightness of an image! tutorial.')
-parser.add_argument('--input', help='Path to input image.', default='../data/lena.jpg')
+parser.add_argument('--input', help='Path to input image.', default='lena.jpg')
 args = parser.parse_args()
 
-img_original = cv.imread(args.input)
+img_original = cv.imread(cv.samples.findFile(args.input))
 if img_original is None:
     print('Could not open or find the image: ', args.input)
     exit(0)

samples/python/tutorial_code/imgProc/erosion_dilatation/morphology_1.py

@@ -42,10 +42,10 @@ def dilatation(val):
     cv.imshow(title_dilatation_window, dilatation_dst)
 
 parser = argparse.ArgumentParser(description='Code for Eroding and Dilating tutorial.')
-parser.add_argument('--input', help='Path to input image.', default='../data/LinuxLogo.jpg')
+parser.add_argument('--input', help='Path to input image.', default='LinuxLogo.jpg')
 args = parser.parse_args()
 
-src = cv.imread(args.input)
+src = cv.imread(cv.samples.findFile(args.input))
 if src is None:
     print('Could not open or find the image: ', args.input)
     exit(0)

samples/python/tutorial_code/imgProc/hough_line_transform/hough_line_transform.py

@@ -1,7 +1,7 @@
 import cv2 as cv
 import numpy as np
 
-img = cv.imread('../data/sudoku.png')
+img = cv.imread(cv.samples.findFile('sudoku.png'))
 gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
 edges = cv.Canny(gray,50,150,apertureSize = 3)
 

samples/python/tutorial_code/imgProc/hough_line_transform/probabilistic_hough_line_transform.py

@@ -1,7 +1,7 @@
 import cv2 as cv
 import numpy as np
 
-img = cv.imread('../data/sudoku.png')
+img = cv.imread(cv.samples.findFile('sudoku.png'))
 gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
 edges = cv.Canny(gray,50,150,apertureSize = 3)
 lines = cv.HoughLinesP(edges,1,np.pi/180,100,minLineLength=100,maxLineGap=10)

samples/python/tutorial_code/imgProc/opening_closing_hats/morphology_2.py

@@ -31,10 +31,10 @@ def morphology_operations(val):
     cv.imshow(title_window, dst)
 
 parser = argparse.ArgumentParser(description='Code for More Morphology Transformations tutorial.')
-parser.add_argument('--input', help='Path to input image.', default='../data/LinuxLogo.jpg')
+parser.add_argument('--input', help='Path to input image.', default='LinuxLogo.jpg')
 args = parser.parse_args()
 
-src = cv.imread(args.input)
+src = cv.imread(cv.samples.findFile(args.input))
 if src is None:
     print('Could not open or find the image: ', args.input)
     exit(0)

samples/python/tutorial_code/imgProc/threshold/threshold.py

@@ -23,12 +23,12 @@ def Threshold_Demo(val):
 ## [Threshold_Demo]
 
 parser = argparse.ArgumentParser(description='Code for Basic Thresholding Operations tutorial.')
-parser.add_argument('--input', help='Path to input image.', default='../data/stuff.jpg')
+parser.add_argument('--input', help='Path to input image.', default='stuff.jpg')
 args = parser.parse_args()
 
 ## [load]
 # Load an image
-src = cv.imread(args.input)
+src = cv.imread(cv.samples.findFile(args.input))
 if src is None:
     print('Could not open or find the image: ', args.input)
     exit(0)