Скачать или смотреть How to Resolve ModuleNotFoundError: No module named tensorflow.keras in DeepPoseKit?

How to Resolve ModuleNotFoundError: No module named tensorflow.keras in DeepPoseKit?

🔗 Video Link:    • How to Resolve ModuleNotFoundError: No mod...  

The `ModuleNotFoundError: No module named tensorflow.keras` in DeepPoseKit usually indicates an outdated TensorFlow installation, an incorrect import statement, or a dependency mismatch. In modern TensorFlow versions, Keras is fully integrated and accessed via `tf.keras`, meaning `tensorflow.keras` is not a directly importable top-level module. To resolve this:

1. Update TensorFlow: Ensure you have a recent TensorFlow version installed (`pip install --upgrade tensorflow`). A missing or corrupted installation is a common cause.
2. Correct Import Statement: If DeepPoseKit's internal code or your script explicitly uses `import tensorflow.keras`, this is incorrect. The proper way to access Keras functionalities is `from tensorflow import keras` or by importing TensorFlow as `import tensorflow as tf` and then using `tf.keras`. You might need to inspect DeepPoseKit's source for this outdated import.
3. DeepPoseKit Compatibility: Verify DeepPoseKit's specific TensorFlow version requirements. If it's designed for a particular older TensorFlow version, install that specific version within a dedicated virtual environment to ensure compatibility and prevent conflicts.

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