Update requirements.txt

Update requirements.txt

Update requirements.txt

heroku folder created

deployment to hf spaces

DVC added and working webapp with inference

DVC added and working webapp with inference

DVC added and working webapp with inference

DVC added and working webapp with inference

DVC added and working webapp with inference

DVC added and working webapp with inference

DVC added and working webapp with inference

DVC added and working webapp with inference

Remove unnessary packages

From docker to Heroku-20

From docker to Heroku-20

From docker to Heroku-20

From docker to Heroku-20

requrement corrected

requrement corrected

requrement corrected

requrement corrected

requrement corrected

Docker deploy with correct torch version

Docker deploy

jinja2 added

hypy removed from requirments

gradio app added

Fixed requirements for dagshub

Finalized evaluation step, which now works. Ready to merge into master

Preparing logging for training and evaluation, and adding evaluation step [WIP]

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

Update readme to include google colab setup + remove problematic packages from requirements.txt

removed problematic requirements

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

Initial commit for setting up DS environment