We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
This work is implemented in a Jupyter notebook, challenge_dataset.ipynb.
brightfield-auto-reconstruction-competition
TEST_DATA_SET
Google Colab's allocated file system is 50G, so pulling down one neuron at a time will probably work.
The text was updated successfully, but these errors were encountered:
Smallest training image stacks: there are 7 image stacks which are smaller than 10 GB. Those are:
Sorry, something went wrong.
Testing neurons mapped: 10 Sorted by size of image stack:
So, using smallest as the one to reconstruct first: 651806289 291 files i.e. 6.0 GB.
651806289
JohnTigue
No branches or pull requests
This work is implemented in a Jupyter notebook, challenge_dataset.ipynb.
brightfield-auto-reconstruction-competition
.TEST_DATA_SET
)Google Colab's allocated file system is 50G, so pulling down one neuron at a time will probably work.
The text was updated successfully, but these errors were encountered: