Comments (4)
hi @seldamat - sorry for the delay, and thanks for the report. can you try updating nobrainer and try the above code again?
pip install -U --no-cache-dir https://github.com/neuronets/nobrainer/tarball/master
that might update dependencies, too, so it's best to do in a virtual environment or conda environment.
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FYI i have enhanced the tfrecords writing and reading functionality in #79. can you please refer to https://github.com/neuronets/nobrainer/blob/master/guide/transfer_learning.ipynb for how to write and read tfrecords in the new format?
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@seldamat - let me know if you have any updates
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Update, not sure how this happened but I get this error message when attempting to call no brainer from the command line
File "/Users/admin/Anvil/opt/miniconda3/lib/python3.7/site-packages/pkg_resources/__init__.py", line 786, in resolve
raise DistributionNotFound(req, requirers)
pkg_resources.DistributionNotFound: The 'cloudpickle==1.1.1' distribution was not found and is required by tensorflow-probability
update - performed a reinstall and this message mysteriously disappeared. the original reported behavior is still present
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Related Issues (20)
- CI to stop if http connection failures occur HOT 4
- Typo in processing.segmentation.Segmentation HOT 1
- Fix PGAN issues HOT 7
- Remove redundant method
- Could this have been a typo?
- Redundancy in serializing shapes of feature and label volumes
- suggested refactoring to avoid OOM errors HOT 1
- explicit repeat of dataset before calling fit method HOT 2
- map_labels fails for n_classes > 1 HOT 1
- typo: replace label_mapping with mapping
- Shape mismatch at the output on unet when n_classes > 1 HOT 4
- Add data count to tfrecords HOT 6
- remove redundant argument HOT 1
- brainy training script failing at validation for kwyk records
- specifying full file path as part of shard template fails with "File Not Found Error" HOT 4
- Refactor code to identify correct steps per epoch HOT 1
- model evaluation on random samples during training is not straightforward HOT 3
- Modify mapping function to mask out segments that are surplus in the label volume HOT 2
- refactor code to calculate records per shard using n_volumes and number of shards HOT 2
- Sharding doesn't result in examples of specified size HOT 2
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