`save_model()` using h5 format requires h5py. Could not import h5py.
时间: 2023-09-12 21:07:51 浏览: 87
This error message means that the `h5py` module is not installed in your Python environment. `h5py` is a Python package for working with HDF5 files, which are commonly used for storing large datasets.
To resolve this error, you need to install `h5py` module using pip. You can do this by opening a terminal or command prompt and running the following command:
```
pip install h5py
```
After installing `h5py`, you should be able to use the `save_model()` function with the h5 format without any issues.
相关问题
ImportError: Could not import PIL.Image. The use of `array_to_img` requires PIL.
这个错误提示是因为在你的代码中使用了`array_to_img`函数,但是没有安装PIL库。PIL是Python中用于图像处理的常用库,你需要先安装它才能使用该函数。你可以通过以下命令来安装PIL库:
```
pip install pillow
```
安装完成后,你需要在代码中添加`import PIL.Image`语句来引入该库。
`load_weights` requires h5py when loading weights from HDF5如何解决
这个错误提示意味着你在使用Keras加载HDF5格式的模型权重时需要先安装h5py库。h5py是一个可以方便地在Python中读取和写入HDF5文件的库,可以通过以下命令来安装:
```
pip install h5py
```
安装完成后,在代码中添加以下语句导入h5py库:
```python
import h5py
```
然后可以使用Keras中的`load_weights`函数来加载HDF5格式的模型权重了,例如:
```python
from keras.models import Sequential
model = Sequential()
model.load_weights('model_weights.h5')
```
如果仍然出现类似的错误提示,可以检查一下h5py库是否安装成功,或者尝试重新安装h5py库。