crop image with grid, python

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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Python opencv, get ROI Mat (cropping)

Please refer to this function..

def getROImat(inMat, x1, y1, x2, y2):

# Crop image

imCrop = inMat[int(y1):int(y2), int(x1):int(x2)]

return imCrop