NUMPY 中的图像堆叠："FutureWarning: arrays to stack must be passed as a "sequence"类型，如列表或元组"
Images stacking in NUMPY: "FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple"
我想把几张小图叠成一张大图。此代码有效，但给出 mi 警告：
FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.
代码：
import PIL
from PIL import Image
import numpy as np
# my images are 2000x2000 resolution, but you can place here any photos with the same width and height
list_im = ['1.jpeg', '2.jpeg', '3.jpeg', '4.jpeg']
# reading images to columns:
imgsv = [PIL.Image.open(i) for i in reversed(list_im[::2])]
imgsv2 = [PIL.Image.open(i) for i in reversed(list_im[1::2])]
# vertical stacking:
imgs_comb1 = np.vstack((np.asarray(i) for i in imgsv))
imgs_comb1 = PIL.Image.fromarray(imgs_comb1)
imgs_comb1.save('V1.jpg')
imgs_comb2 = np.vstack((np.asarray(i) for i in imgsv2))
imgs_comb2 = PIL.Image.fromarray(imgs_comb2)
imgs_comb2.save('V2.jpg')
# horizontal stacking:
imgsv3 = [imgs_comb1, imgs_comb2]
imgs_comb3 = np.hstack((np.asarray(i) for i in imgsv3))
imgs_comb3 = PIL.Image.fromarray(imgs_comb3)
imgs_comb3.save('V1.jpg')
P.S。将来我需要堆叠超过 4 张图像（即 25 张）
如果能解决这个问题，我将不胜感激！ :D
这是一个有趣的问题，我没有弄清楚为什么会这样。但是下面的代码在没有警告的情况下对我有用，而且它实际上有点简单。
from PIL import Image
import numpy as np
list_im = ['1.jpeg', '2.jpeg', '3.jpeg', '4.jpeg']
# reading images to columns:
imgsv = [Image.open(i) for i in reversed(list_im[::2])]
imgsv2 = [Image.open(i) for i in reversed(list_im[1::2])]
# vertical stacking:
imgs_comb1 = np.vstack(imgsv)
imgs_comb1 = Image.fromarray(imgs_comb1)
imgs_comb1.save('V1.jpg')
imgs_comb2 = np.vstack(imgsv2)
imgs_comb2 = Image.fromarray(imgs_comb2)
imgs_comb2.save('V2.jpg')
# horizontal stacking:
imgsv3 = [imgs_comb1, imgs_comb2]
imgs_comb3 = np.hstack(imgsv3)
imgs_comb3 = Image.fromarray(imgs_comb3)
imgs_comb3.save('V3.jpg')
我想把几张小图叠成一张大图。此代码有效，但给出 mi 警告：
FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.
代码：
import PIL
from PIL import Image
import numpy as np
# my images are 2000x2000 resolution, but you can place here any photos with the same width and height
list_im = ['1.jpeg', '2.jpeg', '3.jpeg', '4.jpeg']
# reading images to columns:
imgsv = [PIL.Image.open(i) for i in reversed(list_im[::2])]
imgsv2 = [PIL.Image.open(i) for i in reversed(list_im[1::2])]
# vertical stacking:
imgs_comb1 = np.vstack((np.asarray(i) for i in imgsv))
imgs_comb1 = PIL.Image.fromarray(imgs_comb1)
imgs_comb1.save('V1.jpg')
imgs_comb2 = np.vstack((np.asarray(i) for i in imgsv2))
imgs_comb2 = PIL.Image.fromarray(imgs_comb2)
imgs_comb2.save('V2.jpg')
# horizontal stacking:
imgsv3 = [imgs_comb1, imgs_comb2]
imgs_comb3 = np.hstack((np.asarray(i) for i in imgsv3))
imgs_comb3 = PIL.Image.fromarray(imgs_comb3)
imgs_comb3.save('V1.jpg')
P.S。将来我需要堆叠超过 4 张图像（即 25 张）
如果能解决这个问题，我将不胜感激！ :D
这是一个有趣的问题，我没有弄清楚为什么会这样。但是下面的代码在没有警告的情况下对我有用，而且它实际上有点简单。
from PIL import Image
import numpy as np
list_im = ['1.jpeg', '2.jpeg', '3.jpeg', '4.jpeg']
# reading images to columns:
imgsv = [Image.open(i) for i in reversed(list_im[::2])]
imgsv2 = [Image.open(i) for i in reversed(list_im[1::2])]
# vertical stacking:
imgs_comb1 = np.vstack(imgsv)
imgs_comb1 = Image.fromarray(imgs_comb1)
imgs_comb1.save('V1.jpg')
imgs_comb2 = np.vstack(imgsv2)
imgs_comb2 = Image.fromarray(imgs_comb2)
imgs_comb2.save('V2.jpg')
# horizontal stacking:
imgsv3 = [imgs_comb1, imgs_comb2]
imgs_comb3 = np.hstack(imgsv3)
imgs_comb3 = Image.fromarray(imgs_comb3)
imgs_comb3.save('V3.jpg')