Training stage seems to work, creating a non-run commit to use colab as an orchestration machine

Seems like we are now using the correct format for fastai2. Still there is a strange bug where the signal is killed in training

Merge branch 'split_commands_in_readme' of OperationSavta/SavtaDepth into pipeline-setup

*Split commands of preparing environment in README file > *added -y for conda env creation for less interactions for the user

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

Hopefully finished with the requirements debacle, now using conda but freezing requirements with pip as usual

Fixed requirements.txt to comply with conda format

Update readme to include aws cli

Finished data import and processing setup, bug in training step

Transition to MLWorkspace docker and setup makefile with environment commands

Merge branch 'master' of https://dagshub.com/OperationSavta/SavtaDepth

Added notebook for baseline - starting conversion to python modules + pipeline

Fix to do in readme

Initial commit for setting up DS environment

added BTS demo as a qualitative baseline for SavtaDepth