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Commit History
Message Author SHA1 Date
Preparing logging for training and evaluation, and adding evaluation step [WIP]   Dean 3 years ago
reformatting the training file   Dean 3 years ago
update with Colab Badge   Dean 3 years ago
Merge branch 'simplifying-savta-depth' of OperationSavta/SavtaDepth into pipeline-setup   Dean 3 years ago
Merge branch 'pipeline-setup' into simplifying-savta-depth   Dean 3 years ago
Update '.dvc/config'   Dean 3 years ago
Update 'README.md'   Dean 3 years ago
Added a simplified version of the colab notebook, which doesnt have a clean env setup. This simplifies the setup process greatly at the cost of hurting reproducibility. Further research into ways to get a clean env on colab is required   Dean 3 years ago
train model on colab after fixing normalization bug   dean 3 years ago
remove secondary requirements (i.e. not things that are explicitly installed by the user), fix normalization problem, and use tqdm for image processing progress bar   Dean 3 years ago
Add hosted storage remote and make it default   Dean 3 years ago
Update 'README.md'   Dean 3 years ago
Merge branch 'pipeline-setup' of https://dagshub.com/OperationSavta/SavtaDepth into pipeline-setup   Dean 3 years ago
Fixing colab after feedback   Dean 3 years ago
Update 'README.md'   Dean 3 years ago
Update 'README.md'   Dean 3 years ago
Update readme to include google colab setup + remove problematic packages from requirements.txt   Dean 3 years ago
adding more setup options to readme   Dean 3 years ago
removed problematic requirements   Dean 3 years ago
Added dvc pull instruction as dvc checkout only works locally.   Dean 3 years ago
Added escaping slash to run_dev_env.sh so that it works in windows as well   Dean 3 years ago
Successfully configured the dataloader and trained for one epoch. Results are not so good, but it's something. Still the Fastaiv1 looked better qualitatively   Dean 3 years ago
Finished training of model, saving before qualitative testing. Seems model has actually learned something. Need to add metrics and params to the pipeline.   Dean 3 years ago
Fixed a bug in the training stage where the model was not saved, commiting before training on colab   Dean 3 years ago
Training stage seems to work, creating a non-run commit to use colab as an orchestration machine   Dean 3 years ago
Seems like we are now using the correct format for fastai2. Still there is a strange bug where the signal is killed in training   Dean 3 years ago
Merge branch 'split_commands_in_readme' of OperationSavta/SavtaDepth into pipeline-setup   Dean 3 years ago
*Split commands of preparing environment in README file > *added -y for conda env creation for less interactions for the user   Gal Braun 3 years ago
Migrated to fastai2, creating the DataLoader now works but I'm stuck on not being able to change the batch_size or num_workers as the interface seems to have changed   Dean 3 years ago
Hopefully finished with the requirements debacle, now using conda but freezing requirements with pip as usual   Dean 3 years ago