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ankurshukla03 avatar diegocasmo avatar tristaaan avatar

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iis-project's Issues

Be able to read in facial landmark positions as input from Computer Vision group

  • Parse Computer Vision input (see format)
  • Export/import best model (either MLP or SVM)
  • Use best model predict Computer Vision input

Notes:

  • Kaylan mentioned in the meeting that we need to be able to tell what features are the most important ones and communicate that to the Computer Vision group. It would be a good idea to send an email to Kaylan to clarify this requirement.

Create Report Skeleton

  • Create .tex folder structure
  • Must include all sections that are mandatory (i.e. Elaborate on potential ethical concerns we have identified with the emotional responsive agent)

Report - Additional Requirements

In addition to the tasks mentioned in the report's skeleton, the following must be covered:

  • The report should include, at the beginning:
    • a summary of the work and main results
    • what has worked and what has not
    • role played by each individual group member
    • one paragraph explaining the contribution of each individual student should be included
  • Others (mandatory as well):
    • Your original project specifications as an Appendix (the Appendix does not count towards the 5-page limit)

Report - Secondary Groups Section

Use outline as a starting point, feel free to modify it as you see fit.

Others (mandatory):

  • Reflection on how well the integration in the final pipeline worked (what worked well, what were challenges)

Report - Conclusion Section

Use outline as a starting point, feel free to modify it as you see fit.

Others (mandatory):

  • Discussion on possible ethical issues with the full pipeline or your specific part of the pipeline

Improve repo documentation and structure

  • Update README.md with up-to-date instructions
  • Verify .yml file is up-to-date
  • Include a README.md file in the /code directory explaining the structure of it
  • Clean /code directory (too many files, difficult to follow for a non-collaborator of the repo)
    • Place parsers in a /parsers dir
  • Remove .csv from /data dir (update .gitignore)

Week milestones

  • Implement MLP (Tristan)
  • Implement Random Forest (Ankur)
  • Implement K-fold validation (Ankur)
  • Abstract methods into a single notebook for each of them (Tristan)

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