Progress for week 48 (2018)
From Robin
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=== 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 == | ||
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** I suspect I need more data - transfer learning, RNN etc. | ** 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 == | == Malin Aandahl == | ||
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* Finish tutorials about Docker. | * Finish tutorials about Docker. | ||
* If time set up Docker or implement function to find position. | * If time set up Docker or implement function to find position. | ||
+ | |||
+ | |||
+ | |||
+ | == Anders Rønningstad == | ||
+ | === Budget === | ||
+ | * Finish deep learning project | ||
+ | |||
+ | === Accounting === | ||
+ | * Finished the project |
Current revision as of 11:53, 30 November 2018
Contents |
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
- Pearson Correlation Coefficient
- Added baselines
- Random
- Uniform
- Normal
- Mean of all training data
- Random
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.
Anders Rønningstad
Budget
- Finish deep learning project
Accounting
- Finished the project