I have been trying to train a model from scratch on some data produced in one of our research groups at the University of Warwick. The data has voxels which are 70 x 9 x 9 nm, and is 48 x 4096 x 4096 voxels.
Hi Tim, sorry to see you are still having difficulty. Two additional pieces of info would be helpful to sort this out:
Can you provide the .zarrayand .zattrs from my_new_data.zarr
This one I suppose is unlikely given the timing of your request but I should ask anyway - when did you clone the repository? We fixed an issue in August (PR 14) to enable regions smaller than 204,204,204.
I have been trying to train a model from scratch on some data produced in one of our research groups at the University of Warwick. The data has voxels which are 70 x 9 x 9 nm, and is 48 x 4096 x 4096 voxels.
mnd_train_mito.json mnd_validation_mito.json config_training_test_post_meeting_patrick .yaml.txt
I have tried to run train.py using the attached files, and the following command:
python3 train.py --name example_training with config_training_test_post_meeting_patrick.yaml training.data=data_configs/mnd_train_mito.json validation.data=data_configs/mnd_validation_mito.json torch.device=0
I get the following output:
Followed by a lot of subsequent errors.
Does anyone have any idea what might be going wrong here?
Thanks a lot, Tim