corrected the path of images

Author: sagarrakshe

image/1b-Hello_World.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-image=cv.LoadImage('img/lena.jpg', cv.CV_LOAD_IMAGE_COLOR) #Load the image
+image=cv.LoadImage('../img/lena.jpg', cv.CV_LOAD_IMAGE_COLOR) #Load the image
 
 font = cv.InitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 3, 8) #Creates a font
 

image/1c-Resize.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im = cv.LoadImage("img/alkaline.jpg") #get the image
+im = cv.LoadImage("../img/alkaline.jpg") #get the image
 
 thumb = cv.CreateImage((im.width / 2, im.height / 2), 8, 3) #Create an image thatis twice smaller than the original
 cv.Resize(im, thumb) #resize the original image into thumb

image/1d-transformation.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im=cv.LoadImage('img/fruits.jpg',cv.CV_LOAD_IMAGE_COLOR)
+im=cv.LoadImage('../img/fruits.jpg',cv.CV_LOAD_IMAGE_COLOR)
 
 res = cv.CreateImage(cv.GetSize(im), cv.CV_8UC2, 3) #cv.CV_32F, cv.IPL_DEPTH_16S, ...
 cv.Convert(im, res)

image/1e-Split.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-orig = cv.LoadImage('img/fruits.jpg')
+orig = cv.LoadImage('../img/fruits.jpg')
 
 b = cv.CreateImage(cv.GetSize(orig), orig.depth, 1)
 g = cv.CloneImage(b)

image/2a-Filters.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-image=cv.LoadImage('img/lena.jpg', cv.CV_LOAD_IMAGE_COLOR) #Load the image
+image=cv.LoadImage('../img/lena.jpg', cv.CV_LOAD_IMAGE_COLOR) #Load the image
 cv.ShowImage("Original", image)
 
 grey = cv.CreateImage((image.width ,image.height),8,1) #8depth, 1 channel so grayscale

image/2b-Slider.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im = cv.LoadImage("img/lena.jpg", cv.CV_LOAD_IMAGE_GRAYSCALE)
+im = cv.LoadImage("../img/lena.jpg", cv.CV_LOAD_IMAGE_GRAYSCALE)
 thresholded = cv.CreateImage(cv.GetSize(im), 8, 1)
 
 def onChange(val):

image/2c-Operations.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im = cv.LoadImage("img/lena.jpg",3)
+im = cv.LoadImage("../img/lena.jpg",3)
 
 cv.SetImageROI(im, (50,50,150,150))
 

image/2d-Arithmetics.py

@@ -1,7 +1,7 @@
 import cv2.cv as cv#or simply import cv
 
-im = cv.LoadImage("img/lena.jpg")
-im2 = cv.LoadImage("img/fruits-larger.jpg")
+im = cv.LoadImage("../img/lena.jpg")
+im2 = cv.LoadImage("../img/fruits-larger.jpg")
 cv.ShowImage("Image1", im)
 cv.ShowImage("Image2", im2)
 

image/3a-Scan.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im = cv.LoadImageM("img/alkaline.jpg")
+im = cv.LoadImageM("../img/alkaline.jpg")
 
 #Access a specific pixel
 print im[3,3]

image/3b-Noise.py

@@ -2,7 +2,7 @@
 
 import random
 
-im = cv.LoadImage("img/lena.jpg") #or LoadImage and access pixel with Get2D/Set2D
+im = cv.LoadImage("../img/lena.jpg") #or LoadImage and access pixel with Get2D/Set2D
 
 for k in range(5000): #Create 5000 noisy pixels
     i = random.randint(0,im.height-1)

image/3c-Pattern.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im = cv.LoadImageM("img/fruits.jpg",cv.CV_32F)
+im = cv.LoadImageM("../img/fruits.jpg",cv.CV_32F)
 
 def getDistance(pixel,refcolor):
     return abs( (pixel[0]-refcolor[0]) + (pixel[1]-refcolor[1]) + (pixel[2]-refcolor[2]) )

image/4b-backprojecting.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im = cv.LoadImage("img/lena.jpg", cv.CV_8U)
+im = cv.LoadImage("../img/lena.jpg", cv.CV_8U)
 
 cv.SetImageROI(im, (1, 1,30,30))
 
@@ -29,7 +29,7 @@
 
 '''
 # For colored pictures !
-im = cv.LoadImage("img/lena.jpg")
+im = cv.LoadImage("../img/lena.jpg")
 
 r = cv.CreateImage(cv.GetSize(im), 8, cv.CV_8UC1)
 g = cv.CreateImage(cv.GetSize(im), 8, cv.CV_8UC1)

image/5a-laplace.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im=cv.LoadImage('img/build.png', cv.CV_LOAD_IMAGE_COLOR)
+im=cv.LoadImage('../img/build.png', cv.CV_LOAD_IMAGE_COLOR)
 
 # Laplace on a gray scale picture
 gray = cv.CreateImage(cv.GetSize(im), 8, 1)

image/5b-sobel.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-im=cv.LoadImage('img/build.png', cv.CV_LOAD_IMAGE_GRAYSCALE)
+im=cv.LoadImage('../img/build.png', cv.CV_LOAD_IMAGE_GRAYSCALE)
 
 sobx = cv.CreateImage(cv.GetSize(im), cv.IPL_DEPTH_16S, 1)
 cv.Sobel(im, sobx, 1, 0, 3) #Sobel with x-order=1

image/5c-morph.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-image=cv.LoadImage('img/build.png', cv.CV_LOAD_IMAGE_GRAYSCALE)
+image=cv.LoadImage('../img/build.png', cv.CV_LOAD_IMAGE_GRAYSCALE)
 
 #Get edges
 morphed = cv.CloneImage(image)

image/5d-canny.py

@@ -1,7 +1,7 @@
 import cv2.cv as cv
 import math
 
-im=cv.LoadImage('img/road.png', cv.CV_LOAD_IMAGE_GRAYSCALE)
+im=cv.LoadImage('../img/road.png', cv.CV_LOAD_IMAGE_GRAYSCALE)
 
 pi = math.pi #Pi value
 

image/5e-contours.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-orig = cv.LoadImage('img/build.png', cv.CV_LOAD_IMAGE_COLOR)
+orig = cv.LoadImage('../img/build.png', cv.CV_LOAD_IMAGE_COLOR)
 im = cv.CreateImage(cv.GetSize(orig), 8, 1)
 cv.CvtColor(orig, im, cv.CV_BGR2GRAY)
 #Keep the original in colour to draw contours in the end

image/6b-Haar_Face_dectection.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-image=cv.LoadImage('img/alkaline.jpg', cv.CV_LOAD_IMAGE_COLOR)
+image=cv.LoadImage('../img/alkaline.jpg', cv.CV_LOAD_IMAGE_COLOR)
 
 #Load the haar cascade
 hc = cv.Load("../haarcascades/haarcascade_frontalface_alt.xml")

image/8b-grabcut.py

@@ -1,7 +1,7 @@
 import cv2.cv as cv
 
 
-image = cv.LoadImageM("img/lena.jpg", cv.CV_LOAD_IMAGE_COLOR)
+image = cv.LoadImageM("../img/lena.jpg", cv.CV_LOAD_IMAGE_COLOR)
 tmp1 = cv.CreateMat(1, 13 * 5, cv.CV_64FC1)
 tmp2 = cv.CreateMat(1, 13 * 5, cv.CV_64FC1)
 mask = cv.CreateMat(image.rows, image.cols, cv.CV_8UC1)

image/8meanshift.py

@@ -1,6 +1,6 @@
 import cv2.cv as cv
 
-orig = cv.LoadImage("img/image.png")
+orig = cv.LoadImage("../img/road.png")
 im = cv.CreateMat(orig.height / 5, orig.width / 5, cv.CV_8UC3)
 cv.Resize(orig,im) #resize the original image
 
@@ -37,7 +37,7 @@
 #SetHistogramm ???
 #Normalize
 
-im2 = cv.LoadImage("img/build.png")
+im2 = cv.LoadImage("../img/build.png")
 hsv2 = cv.CreateImage(cv.GetSize(im2), 8, 3)
 cv.CvtColor(im2, hsv2, cv.CV_BGR2HSV)
 h_plane2 = cv.CreateImage(cv.GetSize(im2), 8, 1)