Could you help me with the Big-O analysis of the following algorithm and the sum of it at the end please? 1: Initialize directory dir ← ‘MNIST_DS’ 2: Assign image to variable path ← image_path 3:...

 Could you help me with the Big-O analysis of the following algorithm and the sum of it at the end please?

1: Initialize directory
dir
← ‘MNIST_DS’

 2: Assign image to variable
path
← image_path

 3: Store image in array
arr
← np.array(image.open(path))

 4: Store 4 different projections in 4 different variables PN←
ProjectionN

 5: Set average of the vector components at each projection T_PN←
np.average(PN)

 6: Initialize arrays for barcodes CN←
[]

 7: Calculate threshold frequency for each projection

for
i in range (len(PN)):

    if (PN)[i] > T_PN

CN.append(N)

    else:

CN.append(0)

 8: Concatenate the 4 threshold values for each projection
x
← c1 + c2 + c3 + c4

 9: Print
x

10: Store all created barcodes to a file