I\'m using skimage to crop a rectangle in a given image, now I have (x1,y1,x2,y2) as the rectangle coordinates, then I had loaded the image
image = skimage.io.
One could use skimage.util.crop()
function too, as shown in the following code:
import numpy as np
from skimage.io import imread
from skimage.util import crop
import matplotlib.pylab as plt
A = imread('lena.jpg')
# crop_width{sequence, int}: Number of values to remove from the edges of each axis.
# ((before_1, after_1), … (before_N, after_N)) specifies unique crop widths at the
# start and end of each axis. ((before, after),) specifies a fixed start and end
# crop for every axis. (n,) or n for integer n is a shortcut for before = after = n
# for all axes.
B = crop(A, ((50, 100), (50, 50), (0,0)), copy=False)
print(A.shape, B.shape)
# (220, 220, 3) (70, 120, 3)
plt.figure(figsize=(20,10))
plt.subplot(121), plt.imshow(A), plt.axis('off')
plt.subplot(122), plt.imshow(B), plt.axis('off')
plt.show()
with the following output (with original and cropped image):