Progress for week 48 (2018)

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(David Kolden)
(Jonas S. Waaler)
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** I suspect I need more data - transfer learning, RNN etc.
** I suspect I need more data - transfer learning, RNN etc.
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=== Accounting ===
 +
* Added more metrics
 +
** Pearson Correlation Coefficient
 +
*** Liner simularity
 +
** Normalized Cross Correlation
 +
*** Simularity with displacement
 +
** MSE of Fast Fourier Transform
 +
*** Distance between frequencies
 +
* Added baselines
 +
** Random
 +
*** Uniform
 +
*** Normal
 +
** Mean of all training data
== Malin Aandahl ==
== Malin Aandahl ==

Versjonen fra 30. nov 2018 kl. 10:37

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.

Accounting

  • Added more metrics
    • Pearson Correlation Coefficient
      • Liner simularity
    • Normalized Cross Correlation
      • Simularity with displacement
    • MSE of Fast Fourier Transform
      • Distance between frequencies
  • Added baselines
    • Random
      • Uniform
      • Normal
    • Mean of all training data

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.
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