当我将所有代码here写入.py
文件,然后运行它时,我得到以下输出:
can't determine number of CPU cores: assuming 4
I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 4
can't determine number of CPU cores: assuming 4
I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 4
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
<IPython.core.display.Image object>
但是,它实际上并没有显示图像。我怎样才能看到实际图像?
答案 0 :(得分:2)
本教程中的此代码旨在粘贴到IPython中。如果您在笔记本中运行它,Index
字符串将替换为模拟当前状态的图像。
另一种方法是生成包含相同数据的图像文件。例如,您可以替换以下代码:
X1 X2 X3
A 1
G 1
B 1
X 1
Y 1
Z 1
E 2
U 2
A 2
C 2
E 2
A 3
A 3
A 3
A 3
C 3
E 3
...使用一些将图像写入文件的代码:
<IPython.core.display.Image object>
...然后在您喜欢的图片浏览器中打开文件f = StringIO()
PIL.Image.fromarray(a).save(f, fmt)
display(Image(data=f.getvalue()))
。