我尝试使用 scipy 调整图像大小，在我尝试保存图像之前一切似乎都正常。当我尝试保存图像时出现错误，您可以在标题中看到该错误。下面提供了完整的追溯。
import numpy as np
import scipy.misc
from PIL import Image
image_path = "img0.jpg"
def load_image(img_path):
img = Image.open(img_path)
img.load()
data = np.asarray(img, dtype="int32")
return data
def save_image(npdata, outfilename):
img = Image.fromarray(np.asarray(np.clip(npdata, 0, 255), dtype="uint8"), "L")
img.save(outfilename)
array_image = load_image(image_path)
array_resized_image = scipy.misc.imresize(array_image, (320, 240), interp='nearest', mode=None)
save_image(array_resized_image, "i1.jpg")
错误的完整回溯:
Traceback (most recent call last):
File "D:/Python/Playground/resize image with scipy.py", line 26, in <module>
save_image(array_resized_image, "i1.jpg")
File "D:/Python/Playground/resize image with scipy.py", line 16, in save_image
img = Image.fromarray(np.asarray(np.clip(npdata, 0, 255), dtype="uint8"), "L")
File "C:\Anaconda2\lib\site-packages\PIL\Image.py", line 2154, in fromarray
raise ValueError("Too many dimensions: %d > %d." % (ndim, ndmax))
ValueError: Too many dimensions: 3 > 2.
最佳答案
在执行 fromarray(... 'L') 之前不需要将其转换为二维数组吗？
您可以使用 scipy 函数来执行此操作，或者实际上更快，将 RGB 乘以因子。像这样
npdata = (npdata[:,:,:3] * [0.2989, 0.5870, 0.1140]).sum(axis=2)
关于python - 值错误 : Too many dimensions: 3 > 2，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/36841540/