Keras CNN，详细的训练进度条显示 [英] Keras CNN, verbose training progress bar display

问题描述

在Keras中运行CNN.当它开始运行model.fit时，它将为每个批次打印进度条，像这样

Running CNN in Keras. When it starts to run model.fit, it prints progress bar for each batch, like this

是否可以显示每个时期的进度条?像这样

Is it possible to display the progress bar for each epoch? Like this

这是我使用model.fit(x_train, y_train, nb_epoch = 1, batch_size = 32, verbose=1)的方式 我尝试将verbose设置为0和2，但是没有进度条.

Here is how I am using model.fit(x_train, y_train, nb_epoch = 1, batch_size = 32, verbose=1) I have tried to set verbose to 0 and 2, but there is no progress bar.

如果您有任何想法，请告诉我.非常感谢

Please let me know if you have any thoughts. Many thanks

推荐答案

我在https://stackoverflow.com/a/57475559/9531617 .引用我自己:

只需安装ipykernel并将其导入您的代码即可解决该问题，而无需修改源代码:

The problem can be fixed without modifying the sources by simply installing ipykernel and importing it in your code:

pip install ipykernel 然后 import ipykernel

实际上，在Keras的generic_utils.py文件中，(在我的情况下)调查行是:

In fact, in the Keras generic_utils.py file, the probematic line was (in my case):

            if self._dynamic_display:
                sys.stdout.write('\b' * prev_total_width)
                sys.stdout.write('\r')
            else:
                sys.stdout.write('\n')

self._dynamic_display是False的位置，而必须为True才能正常工作.但是值self._dynamic_display已启动，例如:

Where the self._dynamic_display was False, whereas it needed to be True to work properly. But the value self._dynamic_display was initiated such as:

        self._dynamic_display = ((hasattr(sys.stdout, 'isatty') and
                                  sys.stdout.isatty()) or
                                 'ipykernel' in sys.modules)

因此，加载ipykernel会将其添加到sys.modules中，并为我解决了该问题.

So, loading ipykerneladded it to sys.modules and fixed the problem for me.

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