Tesseract container initial setup for training/experiments

[DoctorDroid]

• I'm submitting a ...

  • [x ] bug report
  • feature request
  • support request

• Do you want to request a feature or report a bug?
  Bug with container setup and initial training

• What is the current behavior?
  while cloning the repo as described in the readme on a windows PC, the Large Files that git LFS should solve including in the clone come as 1kb versions of themselves. this causes an error during the MAKE process as these are not the actual data needed to train the LSTM model.

• If the current behavior is a bug, please provide the steps to reproduce the behavior.
  follow all steps in the readme in scribble-stadium-ds

• What is the expected behavior?
  cloning of all data required to build and train new models
  execution of structured experiments without erroneous interrupts.

• What is the motivation / use case for changing the behavior?
  ease of onboarding so efforts can be focussed on improving the model rather than setting up the environment

• Please tell us about your environment:

  Operating system and current build version:
  WIn10 pro
  Output from pip freeze for the following packages:

  fastapi==0.88.0
  
  pandas==1.5.2
  numpy==1.24.1
  plotly==5.11.0
  uvicorn==0.20.0
  google-cloud-vision
  textstat==0.7.3
  

  output from command:

Python 3.11.1

• Other information (e.g. detailed explanation, stacktraces, related issues, suggestions how to fix, links for us to have context, eg. stackoverflow, gitter, etc)

Using "git lfs fetch —all" and then "git lfs checkout" in the terminal while in the local repo folder "scribble-stadium-ds" solves this error as of 12.29.22

https://stackoverflow.com/questions/72610494/what-is-the-difference-between-git-lfs-fetch-git-lfs-fetch-all-and-git/72610495#72610495