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PROGRESS-TRACK.md

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Progress on Project - Day by Day Summaries

June 20

  • Groups officially formed today
  • Initial pitch of idea to other lab participants, Angelique Manella, and mentor Ethan
  • Received feedback:
    • Formulate timeline for deliverables starting backwards
    • Determine minimum viable product
    • Start testing at small levels
    • Consider further training on top of trained models
  • Juliette and Julie...
    • ... sketched out timeline
    • ... broke down project into smaller tasks
    • ... completed Phase 1: Image Recognition API
    • ... tried out two TensorFlow/Inception based app implementations on Android
    • ... refined timeline and deliverables

June 21

  • Listened to C2RO CEO presentation on product dev
  • Canvased business model
  • Updated repo README
  • Created summary document to synthesize and track progress
  • Tested 2 implementations on phones
  • Deliverables of Phase 2:
    • COMPLETE
      • Wrote Java code for text layer in Android app to categorise items
      • Successful trial run on mobile
    • IN PROGRESS
      • Improving trained model for image recognition
      • Developing lists for recyclable and compostable objects for text categorisation layer

June 22

  • No workshops today! Purely work kind of day
  • Within improving the image recognition and classification,
    • Went through process for re-training categories on TensorFlow demo example
    • Figured out optimization of output .pb and .txt files to load on Android
    • Identifying image sets to include in compostable list
  • Tasks
    • COMPLETE
      • Added splash screen to the Android app and other UI changes
    • IN PROGRESS
      • Improving trained model for image recognition
      • Juliette managed to train the model on our giant set of objects! Took 2.5 hrs

June 23

  • St Jean Baptiste! Day off!

June 24

  • Another day off since we're ahead of schedule

June 25

  • All the buildings on campus were locked. Annoying.
  • We finally made our way to Starbucks to work, thank god for Starbucks
  • Where we're at:
    • Have the newly trained model
    • Works on TensorFlow for Poets Android App
      • Continuous object recognition / detection rather than button push
    • Does not work on our version... why? SAD!
  • Remaining Steps:
    • Make compatible with our version of app OR modify TensorFlow for Poets Android App
    • Record demo video for presentation
    • Make presentation
  • Schedule
    • Monday:
      • Check in with Angelique
      • Record demo of app with first trained
        • JT: Orange, plastic waterbottle, paper towel
        • Isabella: Tea bag
        • Juliete: Bread
      • Train another graph with more images
    • Tuesday:
      • Test new graph
      • Investigate changes in confidence percentages
      • Record demo of app
    • Wednesday:
      • Make / finish presentation
    • Thursday:
      • Practice, present!

June 26

  • Check in with Angelique - went well
  • Next steps:
    • Isabella - cleaning category images => DONE
    • Re-train graph and transfer to app => Juliette tonight to train graph
  • Tomorrow:
    • Follow June 27 schedule in previous post