Comments (6)
Nice! Thanks man, it's working in colab now for me too. Still messing with the local installation, which is likely a tensorflow issue, not related to segmenteverygrain. Thanks for getting to this so fast!
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+1, same problem here
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Just echo'ing others that myself and @zanejobe are having the same issue.
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agreed - maybe a pypi issue? I also have the same issue on my local installation (using your env file) - using conda list
it shows 0.13.0 installed but I can't import it into the notebook using that env
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Thanks y'all for the heads up! It's weird because I think it worked when I tested it.
I am working on it (and starting to think it was a bad idea to switch from 'setup.py' to 'pyproject.toml').
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It works for me now in Google Colab - 'pip install segmenteverygrain' should install the latest version, which is v0.1.7. Something was off in the way I set up 'pyproject.toml' (the main .py file was not actually included in the distribution), but it seems to be working now, after switching back to 'setup.py'. Let me know if you still run into issues. cc @zanejobe @ThomasMGeo
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Related Issues (11)
- NameError: name 'dist' is not defined HOT 1
- Train without creating patches from large images?
- ValueError: Could not interpret optimizer identifier: <class 'keras.optimizers.legacy.adam.Adam'> HOT 2
- How the gravel_example_mask.jpg was generated?
- ValueError: You are trying to restore a checkpoint from a legacy Keras optimizer into a v2.11+ Optimizer, which can cause errors. HOT 4
- Colab notebook updates HOT 3
- Could you provide the version of TensorFlow? HOT 1
- counting stars?
- ValueError in Run segmentation (attempt to get argmax of an empty sequence)
- error running example scripts HOT 2
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