Closed LarisaKozhekina closed 1 year ago
Hello, @LarisaKozhekina!
Thanks for the issue. In fact, when using the line
batch_crops = (luna_dataset >> crops_sampling).next_batch(7)
one only passes a batch of 7 scans through the sampling pipeline
, not the whole dataset (subset0
). Yet, it is possible that 7 scans are already too much for 12 GB of RAM! Still, it seems to me that your problem can be easily solved:
1) It looks like you attempt to run the tutorial cell by cell. If that's the case, keep in mind, that you don't need all previous calculations when running cell#34! Just don't forget to load info about nodules locations nodules_df
(cell#7).
2) If running only needed cells doesn't help, you might benefit from reducing the size of batch passed through the pipeline:
batch_crops = (luna_dataset >> crops_sampling).next_batch(4)
Best, Alex.
Алексей, здравствуйте,спасибо.Мне пришлось отключить GPU в Google Colaboratory и уменьшить размер батча до 4 -- С уважением,Лариса 18.03.2019, 18:00, "Alexander Koryagin" notifications@github.com:Hello, @LarisaKozhekina!Thanks for the issue. In fact, when using the linebatch_crops = (luna_dataset >> crops_sampling).next_batch(7) one only passes a batch of 7 scans through the sampling pipeline, not the whole dataset (subset0). Yet, it is possible that 7 scans are already too much for 12 GB of RAM! Still, it seems to me that your problem can be easily solved:It looks like you attempt to run the tutorial cell by cell. If that's the case, keep in mind, that you don't need all previous calculations when running cell#34! Just don't forget to load info about nodules locations nodules_df (cell#7).If running only needed cells doesn't help, you might benefit from reducing the size of batch passed through the pipeline:batch_crops = (luna_dataset >> crops_sampling).next_batch(4) Best,Alex.—You are receiving this because you were mentioned.Reply to this email directly, view it on GitHub, or mute the thread.
Hi guys! I try to execute Tutorial3 (and 4) with Goggle Colaboratory notebooks (GPU with 12GB RAM). I use only subset0 from luna16. Kernel is crashed when I execute "Shortcut to RadIO capabilities: pipelines-submodule" from tutorial3. In [34]: batch_crops = (luna_dataset >> crops_sampling).next_batch(7)
Are data from 1 subset very big for 12 GB RAM?
My notebook is https://drive.google.com/open?id=1j3xoSUvKF-Z6rl6lO3HcJ-dLxBKUUkzx
Thank you for help