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Hi,

I explain my problem, I have an image of MxN and I want ti create regions of lower dimensions. for example I want to divide the image into 4x2, so 8 regions I have the next code:

# Numbers of rows
nRows = 4
# Number of columns
mCols = 2

# Reading image
img = cv2.imread('XXXX')
print img
# Dimensions of the image
sizeX = img.shape[0]
sizeY = img.shape[1]

print sizeX,sizeY
# Tam of Y region
regionY=sizeY/nRows

# Tam of X region 
regionX = sizeX/mCols

# Total of regions
totalRegions = nRows* mCols
name = str(totalRegions)
for v in range (0,totalRegions):
    for i in range(0,mCols):
        for j in range(0, nRows):
            name =  str(totalRegions)
            globals()[name]=img[0+mCols*v:mCols+(mCols*v)-1,
                               0+nRows*(v/nRows):nRows+(nRows*(v/nRows))-1]
            totalRegions += -1

Hi,

I explain my problem, I have an image of MxN and I want ti create regions of lower dimensions. for example I want to divide the image into 4x2, so 8 regions I have the next code:

# Numbers of rows
nRows = 4
# Number of columns
mCols = 2

# Reading image
img = cv2.imread('XXXX')
print img
# Dimensions of the image
sizeX = img.shape[0]
sizeY = img.shape[1]

print sizeX,sizeY
# Tam of Y region
regionY=sizeY/nRows

# Tam of X region 
regionX = sizeX/mCols

# Total of regions
totalRegions = nRows* mCols
name = str(totalRegions)
for v in range (0,totalRegions):
    for i in range(0,mCols):
        for j in range(0, nRows):
            name =  str(totalRegions)
            globals()[name]=img[0+mCols*v:mCols+(mCols*v)-1,
                               0+nRows*(v/nRows):nRows+(nRows*(v/nRows))-1]
            totalRegions += -1