Building module keras_retinanet.utils.compute_overlap failed

这个问题可能是由于缺少相关依赖项或版本不匹配导致的。我建议您按照以下步骤解决此问题：

1. 确保您的计算机已安装了正确的依赖项，包括Keras和Tensorflow。您可以使用以下命令检查它们的版本：

pip show keras
pip show tensorflow

2. 确保您的版本与keras-retinanet兼容。您可以查看keras-retinanet文档，找到与您正在使用的版本兼容的Keras和Tensorflow版本。

3. 如果您已经安装了正确的依赖项但问题仍然存在，请尝试重新安装keras-retinanet：

pip uninstall keras-retinanet
pip install keras-retinanet

4. 如果问题仍然存在，请尝试在GitHub上提交问题报告，让开发人员提供帮助。

相关问题

No module named 'keras.utils.np_utils'

No module named 'keras.utils.np_utils'这个错误是由于keras.utils.np_utils模块不存在所导致的。在引用中的代码中，并没有使用keras.utils.np_utils模块，所以可能是一个错误的引用或者是引用代码的来源有错。正确的方法是使用tensorflow.keras.utils.to_categorical来进行one hot编码。

ModuleNotFoundError: No module named 'keras.utils.generic_utils'

This error is caused when the 'keras.utils.generic_utils' module is not found in the system. This module is a part of the Keras library, which is used for building deep learning models.

To resolve this error, try the following steps:

1. Make sure that Keras is installed in your system. You can install Keras using pip:

   pip install keras

2. If Keras is already installed, try upgrading it to the latest version:

   pip install --upgrade keras

3. If the above steps do not work, try uninstalling and reinstalling Keras:

   pip uninstall keras
   pip install keras

4. If none of the above steps work, try reinstalling the entire Python environment by using a virtual environment or a fresh installation.

5. If the error still persists, check if you have imported the correct module name in your code. Make sure that the import statement is correct and the module name is spelled correctly.