小编use*_*626的帖子

我试图了解 torchvision 如何与 mathplotlib 交互以生成图像网格。生成图像并以迭代方式显示它们很容易：

import torch
import torchvision
import matplotlib.pyplot as plt

w = torch.randn(10,3,640,640)
for i in range (0,10):
    z = w[i]
    plt.imshow(z.permute(1,2,0))
    plt.show()

然而，在网格中显示这些图像似乎并不那么简单。

w = torch.randn(10,3,640,640)
grid = torchvision.utils.make_grid(w, nrow=5)
plt.imshow(grid)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-61-1601915e10f3> in <module>()
      1 w = torch.randn(10,3,640,640)
      2 grid = torchvision.utils.make_grid(w, nrow=5)
----> 3 plt.imshow(grid)

/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py in imshow(X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, shape, filternorm, filterrad, imlim, resample, url, hold, data, **kwargs)
   3203                         filternorm=filternorm, …