PIL：Image.fromarray（img.astype（'uint8'），mode ='RGB'）返回灰度图像

Question

我已经将大小为torch.Size([3, 28, 28])的pytorch张量转换为大小为(28, 28, 3)的numpy数组，并且似乎没有任何问题。然后，我尝试使用img = Image.fromarray(img.astype('uint8'), mode='RGB')将此图像转换为PIL图像，但是返回的img的尺寸为(28, 28)（当我希望它是(28, 28, 3)（或{{ 1}}）。我不明白为什么会这样。我确保转换为uint8并使用RGB模式，就像其他海报在网上建议的那样，但是这些海报（也不使用np.ascontiguousarray）都没有帮助。

PIL版本1.1.7

(3, 28, 28)

编辑：这是一个最小的示例。如果有任何帮助，我将保留上述内容。

# This code implements the __getitem__ function for a child class of datasets.MNIST in pytorch
# https://pytorch.org/docs/stable/_modules/torchvision/datasets/mnist.html#MNIST

img, label = self.data[index], self.targets[index]
assert img.shape == (3, 28, 28), \
       (f'[Before PIL] Incorrect image shape: expecting (3, 28, 28),'
        f'received {img.shape}')

print('Before reshape:', img.shape)    # torch.Size([3, 28, 28])
img = img.numpy().reshape(3, 28, 28)
img = np.stack([img[0,:,:], img[1,:,:], img[2,:,:]], axis=2)
print('After reshape:', img.shape)     # (28, 28, 3)

# doing this so that it is consistent with all other datasets
# to return a PIL Image
img = Image.fromarray(img.astype('uint8'), mode='RGB') # Returns 28 x 28 image

assert img.size == (3, 28, 28), \
       (f'[Before Transform] Incorrect image shape: expecting (3, 28, 28), '
        f'received {img.size}')

from PIL import Image import numpy as np img = np.random.randn(28, 28, 3) img = Image.fromarray(img.astype('uint8'), mode='RGB') # Returns 28 x 28 image assert img.size == (28, 28, 3), \ (f'[Before Transform] Incorrect image shape: expecting (3, 28, 28), ' f'received {img.size}')

Answer 1

我想您想要这样，其中RGB值的范围是0..255范围内的整数：

contents

现在检查我们拥有什么：

contents

并保存：

import numpy as np
from PIL import Image

# Make random 28x28 RGB image
img =np.random.randint(0,256,(28,28,3), dtype=np.uint8)

# Convert to PIL Image
pImg=Image.fromarray(img, mode='RGB')