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A tool to compute, visualize, analyse and drag points (high-dimensional data)

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TianZonglin/cloud-control-GUI

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BUILDING

========

The software was tested to build and run under Linux Ubuntu. As a prerequisite, CUDA 4.0 or higher should be installed.

To build:

  1. Go to LIBRARIES/glui-master. Possibly re-run CMake to update to your platform's configuration.
  2. Do a "make" from the root directory

To clean everything:

  1. Do a "make realclean" from the root directory.

RUNNING

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Example:

projwiz -f DATA/segmentation lamp

DONE

  • Better selection mechanism. We can now select points and groups-of-points. Selection is additive and can be reset. All selections work by clicking in the main window: -normal click: select closest point to mouse; -CTRL-click: select entire (label) group under the mouse; -SHIFT-click: add points to selection rather than overwriting it; works in both normal and CTRL modes; -click far away from any point: clear selection;

  • False-negative bundles: Now they're done for either the entire dataset or the current selection: -the current selection is void: FN's are shown for the entire dataset; -the current selection is not void: only FN's of points in the selection are used;

  • False-negative map: The map is now computed w.r.t. the current selection. That is: -if the crt-selection is 1 point: same result as the original idea (show FN-error for all other points w.r.t. selected point) -if the crt-selection is more points: for all points p not in selection, show minimal FN-error w.r.t. all points in the selection.

TODO

  • Add possibility to select also groups from the visual clustering; for this, we must detect connected-components in the visual clustering.

  • Add generic way to show min/max/avg of the various plotted signals (FNs, FPs, avg-error, etc)

  • Show spatial-difference/error-difference between 2 projections

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A tool to compute, visualize, analyse and drag points (high-dimensional data)

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