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 == | ||
Revision as of 23:44, 29 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.
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.
