Rotation object on RT Target

Is there a reason why a graphic object will not display when the project is deployed to a real time target?
I am attempting to visualize sensor outputs by observing the position of a graphics object on the LV Front Panel.
Thanks.
Attachments:
Graphics.vi ‏14 KB

Richard1000 wrote:
The Set Rotation is the RT VI? Or it becomes a RT VI when deployed to a RT Target?
When running in the development environment, is there an alternative approach allowing sensor values to update the orientation of the graphic object?
Thanks.
It becomes an RT vi when deployed to the target.
The alternative approach is actually the correct approach . You create a VI that runs standalone and headless on the RT platform. You then use some sort of network communication (see: TCP/IP) to pass the values up to a host computer. The host computer reads the values and displays them.
CLA, LabVIEW Versions 2010-2013

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These are the results in Photoshop CS6 labeled by sampling method:
www.estructor.biz/testje/ps_grid.png
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@Steve: thanks, but I am quite experienced, and I did not import the vector itself, but a straightforward bitmap grid to avoid any interpolation while importing and converting the vector graphic itself. Also see the first paragraph in my response to Mike below .
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http://forums.adobe.com/message/6002543#6002543
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@Chris: I am unsure how you can say that - yes, Catmull-Rom is known to be a less than ideal re-sampling method for up-scaling images. That said, it works wonderfully well for down-sampling images or as a sampling method to transform lower resolution bitmap based artwork - essential for screen based work and web jobs.
Lanczos does a meagre job for down-sampling (with Lanczos8 especially bad in terms of artifacts), but a very good job for up-sampling images. We have to know the goal to identify the best method/approach/solution.
Although I am certain you are familiar with the math, the example shown on this page demonstrates that Catmull-Rom and Mitchell-Netravali do in fact work best for down-sampling images: http://pixinsight.com/doc/docs/InterpolationAlgorithms/InterpolationAlgorithms.html
And I am not inventing all this - for lower resolution sharp edged illustrative artwork Photoshop has always been rather awkward. The sampling methods currently implemented in Photoshop deal very well with high resolution artwork and photographic media, but fare poorly with lower resolution graphics.
The demonstration files I prepared earlier and linked in my original question show unequivocally that Photoshop's current sampling algorithms deal poorly in this regard! I did not even bother to include Bicubic Automatic, because that looked positively awful.
I do understand why that is - traditionally it has never been Photoshop's focus I think. Looking at the bare-bones results, though, I am inclined to conclude that both Mitchell-Netravali and Catmull-Rom do indeed produce superior results for down-sampling and re-sampling during transformations of lower resolution images - both sharp-edged artwork, as well as photos.
This has been my experience for years now dealing with 2d game graphics, web work, and general screen graphics work. It is one of the reasons why I left Photoshop and Illustrator early on for this type of work.
So it eludes me why these are not available in Photoshop. Because as far as the results are concerned, they seem to be quite good enough to ship.

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