Labelling Depth Images
Activities this week:
- Reduce computation effort of labelling procedure
- Create labelling dictionary that will be used for optimization
- Improving labelling in depth images
- Attempt to solve inconsistencies between results on test script and on ATOM framework (more info here)
TODO
- Check inconsistencies in calibration results with real data
- Adapt ATOM to calibrate RGBD sensors.
- Improve calibration pattern support to improve the depth images
- Define solution to detect calibration pattern in depth image
Issues
Add depth component to ATOM's framework - open
Create conversion script for dataset version 2 - open
Chessboard support - documentation
(opened but not this week's work)