from PIL import Image
array = np.zeros((3,64,64),'uint8')
array[0] = redToImage;
array[1] = blueToImage;
array[2] = greenToImage;
img = Image.fromarray(array)
if img.mode != 'RGB':
img = img.convert('RGB')
img.save('testrgb.jpg')
我有redToImage
,blueToImage
,greenToImage
,它们都是大小为(64,64)的numpy数组。但是,当我尝试从数组创建图像时,它给了我这个错误。我真的搜寻过并尝试过很多方法。
它出现此错误:
***---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\PIL\Image.py in fromarray(obj, mode)
2514 typekey = (1, 1) + shape[2:], arr['typestr']
-> 2515 mode, rawmode = _fromarray_typemap[typekey]
2516 except KeyError:
KeyError: ((1, 1, 64), '|u1')
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-331-9ce9e6816b75> in <module>
6 array[2] = greenToImage;
7
----> 8 img = Image.fromarray(array)
9 if img.mode != 'RGB':
10 img = img.convert('RGB')
~\Anaconda3\lib\site-packages\PIL\Image.py in fromarray(obj, mode)
2515 mode, rawmode = _fromarray_typemap[typekey]
2516 except KeyError:
-> 2517 raise TypeError("Cannot handle this data type")
2518 else:
2519 rawmode = mode
TypeError: Cannot handle this data type***
键入错误表示Image.fromarray(array)
无法自动将(3,64,64)矩阵重塑为(64,64,3)矩阵。 fromarray(x)
期望x
将包含3层或64x64块,而不是64层的3x64块。将您的代码更改为类似于以下内容的代码将产生所需的结果(在我的情况下为绿色的64x64像素.jpg图像)。
from PIL import Image
import numpy as np
array = np.zeros((64, 64, 3), 'uint8')
'''
Creating dummy versions of redToImage, greenToImage and blueToImage.
In this example, their combination denotes a completely green 64x64 pixels square.
'''
array[:, :, 0] = np.zeros((64, 64))
array[:, :, 1] = np.ones((64, 64))
array[:, :, 2] = np.zeros((64, 64))
img = Image.fromarray(array)
if img.mode != 'RGB':
img = img.convert('RGB')
img.save('testrgb.jpg')