Comments (3)
This is expected - tensorflow
is particularly verbose at import time. The rest of the example should run fine despite the warnings.
If that's not the case, then you should double-check that you are using the correct image - i.e. :latest
vs. :latest-gpu
. I'd actually expect both to work, though you may get strange behavior/more warnings if you're using the :latest-gpu
container on a system without gpu support.
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Check TensorFlow Version Compatibility:
Ensure that the version of TensorFlow you're using is compatible with the version of Mesmer and other dependencies you have. TensorFlow might not work well with the latest version of Python 3.10, so consider using a stable version like TensorFlow 2.7.
Check Dependency Versions:
Verify that all the dependencies, including Mesmer and any other libraries you're using, are compatible with each other. Mismatched dependencies can lead to unexpected errors.
Update or Reinstall Libraries:
Update all your libraries to their latest compatible versions. You might also consider uninstalling and reinstalling TensorFlow and other relevant packages to ensure a clean setup.
Check Docker Configuration:
If you're using Docker, ensure that your Docker image is set up correctly. The image should include the required libraries and dependencies. Sometimes, running in a Docker container might require specific configurations.
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I will close this as I don't think there is anything actionable here. If the problem persists, feel free to reopen with a minimal reproducing example.
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Related Issues (20)
- Read the Docs build requirements change
- Incompatible shape of testing dataset in Nuclear Segmentation notebook HOT 6
- Tissuenet dataset instance segmentation ground truth HOT 11
- DEEPCELL_ACCESS_TOKEN HOT 6
- Link nucleus to whole cell segmentation mask mesmer HOT 3
- Getting cell segmentation mask file from Mesmer standalone program HOT 1
- QUERY : Segmentation Issue HOT 2
- Nuclear and whole cell segmentation masks identical HOT 4
- Question regarding pixel expansion HOT 1
- Retrieve model output without postprocessing
- Access token needed HOT 1
- Segmentation Mask Output HOT 1
- Segmentation Mask FIle Issues HOT 1
- MacBook M3 support, DeepCell cannot be installed due to tensorflow version HOT 2
- Error creating segmentation masks for small images HOT 3
- Align for multi fov result combined HOT 1
- Support for Python 3.11? HOT 1
- DeepCell API Key SignUp page responds with a Server Error HOT 4
- Support for Python 3.11 onward HOT 2
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