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

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)