Hello,
I’m working on semantic segmentation project on pytorch framework. I wrote example code for UNet model with n_classes=1 and run it on windows 10 PC. Everything was great but get a lot of time because of poor gpu. Env was created via conda:
python = 3.6.6
PIL=5.4.1
pytorch=1.0.1
So, i gone to dedicated server with 1080 ti ubuntu 18.04 lts. Created the same env and checked package versions - all right. After that i moved source code and dataset to dedicated server and run it. But after first epoch i get following exception:
https://hastebin.com/medolataxa.sql 7
OSError: image file is truncated (28 bytes not processed)
I haven’t use truncated files. Everything was okay on windows 10, but after first epoch everything collapsed. (p.s. use allow truncated_files doesn’t solve the issue).
It is also strange, that PIL.Image.open(<image_path>) recursive running on dataset didn’t throw any exception with files on dedicated server.
Is someone know how to fix it?