Progress for week 48 (2018)

Fra Robin

(Forskjeller mellom versjoner)
Gå til: navigasjon, søk
(David Kolden)
Linje 2: Linje 2:
=== Budget ===
=== Budget ===
* Implement one or more algorithms. Refine D2CO. Research a way to find a gradient with chamfer distance.
* Implement one or more algorithms. Refine D2CO. Research a way to find a gradient with chamfer distance.
 +
=== Accounting ===
 +
* Found out that Chamfer Distance Transform can be used as a gradient directly in an IBVC.
 +
* Sketching new algorithms and evaluating them:
 +
** Reducing hypotheses in a IBVC/PBVC hybrid.
 +
** Parallel lines and vanishing points.
 +
** Hybrid configuration set up using model description of gripper together with model description of the object.
 +
* GPU to calculate FDCM?
== Jonas S. Waaler ==
== Jonas S. Waaler ==

Versjonen fra 29. nov 2018 kl. 23:44

Innhold

David Kolden

Budget

  • Implement one or more algorithms. Refine D2CO. Research a way to find a gradient with chamfer distance.

Accounting

  • Found out that Chamfer Distance Transform can be used as a gradient directly in an IBVC.
  • Sketching new algorithms and evaluating them:
    • Reducing hypotheses in a IBVC/PBVC hybrid.
    • Parallel lines and vanishing points.
    • Hybrid configuration set up using model description of gripper together with model description of the object.
  • GPU to calculate FDCM?

Jonas S. Waaler

Budget

  • Tune data to fit classification task (experiment 2)
  • Construct algorithms/architectures to solve the classification task
    • First: Traditional methods (similar to experiment 1)
    • I suspect I need more data - transfer learning, RNN etc.


Malin Aandahl

Budget

  • Implement new fitness function.
  • Find out where the position to the robot is calculated(and change to be the back instead of the front of the robot)
  • Finish tutorials about Docker.
  • If time set up Docker or implement function to find position.
Personlige verktøy