[英]How to split lines and cols in equal parts
I have a image in numpy.array
and I need to split all the lines into 4 'equal' (disregard odd) groups and 4 groups of cols.我在numpy.array
有一个图像,我需要将所有行分成 4 个“相等”(不考虑奇数)组和 4 组列。 I did try this:我确实尝试过这个:
for count in range(0, camera.shape[0], camera.shape[0] // 4):
pp.figure()
if count == 0:
pp.imshow(camera[0:camera.shape[0] // 4:, :], cmap='gray')
continue
pp.imshow(camera[count: count * 2:, :], cmap='gray')
# pp.imshow(camera[0:camera.shape[0] // 4:, :], cmap='gray')
pp.show()
The result:结果: But this approach have a problem with the first loop and the begin:end:step
.但是这种方法在第一个循环和begin:end:step
。 Some tips ?一些技巧 ?
I have also made this image to illustrate what I want:我还制作了这张图片来说明我想要的:
You can use your logic with zip
function and make the split dynamically::您可以使用带有zip
功能的逻辑并动态进行拆分:
def split(img, rows, cols):
'''
Split array in n rows and columns
Parameters
----------
img:
Arbitrary Numpy array
rows:
Number of rows to split the array
cols:
Number of cols to split the array
Usage
-----
>>> split(skimage.data.camera(), 4, 4)
Return
------
Python list containing the subsets
'''
cache = []
try:
img_r = img.shape[0]
img_c = img.shape[1]
except Exception as e:
raise Exception(
f'\nInform a \033[31mNumpy\033[37m array\n\n{str(e)}\n')
for c, n in zip(range(0, img_r + 1, img_r // rows), range(img_r // rows, img_r + 1, img_r // rows)):
for i, f in zip(range(0, img_c + 1, img_c // cols), range(img_c // cols, img_c + 1, img_r // cols)):
cache.append(img[c:n, i:f])
return cache
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