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Resizer.py
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Resizer.py
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import numpy as np
class Resizer:
def __init__(self, image, n_value):
self.image = image
self.n_value = n_value
self.new_image = []
# Resize the image
self.resize()
def resize(self):
row = self.image.shape[0]
column = self.image.shape[1]
# Get the new length value of rows
if divmod(row, (8 * self.n_value))[1] != 0:
n_row = row
while divmod(n_row, (8 * self.n_value))[1] != 0:
n_row += 1
else:
n_row = row
# Get the new length value of columns
if divmod(column, (8 * self.n_value))[1] != 0:
n_column = column
while divmod(n_column, (8 * self.n_value))[1] != 0:
n_column += 1
else:
n_column = column
# Create the new array with new dimensions
self.new_image = np.zeros(shape=(n_row, n_column))
# Copy the old array to the new one
for i in range(len(self.image)):
for j in range(len(self.image[0])):
self.new_image[i][j] = self.image[i][j]
# Get last elements
last_row = self.image[-1, :]
last_col = self.image[:, -1]
last_element = self.image[-1, -1]
# Fill the last rows
for i in range(row, n_row):
for j in range(0, column):
self.new_image[i][j] = last_row[j]
# Fill the last columns
for x in range(column, n_column):
for z in range(0, row):
self.new_image[z][x] = last_col[z]
# Fill the last value
for g in range(column, n_column):
for h in range(row, n_row):
self.new_image[h][g] = last_element
def get_image_resized(self):
return self.new_image