Example is to do:
Grid 5x5 and resize 200x200
Each image is numpy type.
--
import cv2
import numpy as np
img = cv2.imread("./data/example.jpg")
def img_to_grid(img, row, col, resize_row, resize_col):
ww = [[i.min(), i.max()] for i in np.array_split(range(img.shape[0]),row)]
hh = [[i.min(), i.max()] for i in np.array_split(range(img.shape[1]),col)]
grid = [img[j:jj,i:ii,:] for j,jj in ww for i,ii in hh]
re_grid=[]
for img in grid:
resized = cv2.resize(img, (resize_row,resize_col), interpolation = cv2.INTER_AREA)
re_grid.append(resized)
return re_grid, len(ww), len(hh)
#------------------------------------
how_many_row, how_many_col = 5, 5
resize_row, resize_col = 200, 200
grid , r,c = img_to_grid(img, how_many_row, how_many_col, resize_row, resize_col)
print(type(grid), type(grid[0]), len(grid), r, c)
#------------------------------------
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