Splitting image to batches and merging

Hello,

I try to split(5000,5000,3) image to (4,2500,2500,3) and merge it. Here my code:



geometry = [

    [

      [

        38.752152,

        37.208675

      ],

      [

        39.224913,

        37.208675

      ],

      [

        39.224913,

        36.686262

      ],

      [

        38.752152,

        36.686262

      ],

      [

        38.752152,

        37.208675

      ]

    ]

  ]



step_x = round(size[0]/2500+1)

step_y = round(size[1]/2500+1)

combinedImage = numpy.zeros((step_x*2500,step_y*2500,3))



points_x = numpy.linspace(x_min,x_max,step_x)

points_x = points_x[::-1]

points_y = numpy.linspace(y_min,y_max,step_y)

points_y = points_y[::-1]

size_x = len(points_x)

size_y = len(points_y)

for y in range(size_x-2,-1,-1):

    for x in range(size_y-2,-1,-1):

        tmpGeometry = [[[points_x[x],points_y[y]],[points_x[x],points_y[y+1]],[points_x[x+1],points_y[y]],[points_x[x+1],points_y[y+1]]]]

        x_min, y_min = numpy.min(tmpGeometry, axis = 1)[0]

        x_max, y_max = numpy.max(tmpGeometry, axis = 1)[0]

        sentinelhub.setGeometry(geometry)

        sentinelhub.setBBox(x_min,y_min,x_max,y_max)

        image = sentinelhub.sendRequest()

        combinedImage[2500*y:2500*(y+1),2500*x:2500*(x+1)] = image

       

        print((x,y))

        

cv2.imwrite("combinedImageyx4.jpg",combinedImage)

but as you see its order is wrong ? What can I do for it ? right part should be at left, and left part should be at right.

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Hi,

Thanks for the query but I do not understand what you are try to achieve here. Can you please provide some more information on what packages you are using and your inputs and expected outputs.

Thanks

@william.ray thanks for your reply, I solved the problem by changin the codes by that:

images = []

rows = []



for y in range(size_y-1):



    rows = []

    for x in range(size_x-1):

        tmpGeometry = [[[points_x[x],points_y[y]],[points_x[x],points_y[y+1]],[points_x[x+1],points_y[y]],[points_x[x+1],points_y[y+1]]]]

        x_min, y_min = numpy.min(tmpGeometry, axis = 1)[0]

        x_max, y_max = numpy.max(tmpGeometry, axis = 1)[0]

        sentinelhub.setBBox(x_min,y_min,x_max,y_max)

        image = sentinelhub.getCombinedImage()

        rows.append(image)



        

    

    rows = numpy.concatenate(rows, axis = 1)

    images.append(rows)

images = images[::-1]

images = numpy.concatenate(images,axis =0)