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Eve GUI Mockup, 3rd October 2009

I have most certainly made some progress on Eve.

Over the past week I took another look at the Eve project, made some necessary re-factorings and started sketching out a new concept for the user interface. The resulting program isn’t much more than a mock-up, but it is something. Currently the Project resource browser is slightly working, the scrubbing interface is partially complete (the fine-tuning interface at the bottom there still needs implementation), and tagging functionality has to be added in the GUI (the backend is in place).

I was thinking of continuing on with the GUI and really polishing the interface, but I think I’ll save that for when some back-end compositing functionality is done. To that end, here’s the order in which the next month or so will go (I hope! gulp).

  1. Implement the Gstreamer FrameProducer. I’m proud to say that Gstreamer’s Source is already complete! For now, the FrameProducer will–at a loss of performance–use RGBDataSink and marshal that data into a BufferedImage.
  2. Create an implementation of the Compositor class using Java2D/BufferedImage.
  3. Continue building the pieces that the Compositor depends upon until simple timelines render (one track, A then B then C then D).
  4. Modify the classes that do the compositing so that they marshal correctly to/from XML.
  5. Create an XMLCompositorRunner that will take input from an XML file and composit it to an output.

After this–yikes. Well I’m not even going to really expand on it, because obviously it’s a big if that these five items are ging to get accomplished given that it’s Midterm season already!

I’m working at the University of Toronto this summer, on a research project called JSCOOP. We’re bringing the SCOOP concurrency model to Java, by way of an Eclipse plugin and Java 1.5 annotations. It’s really, really cool stuff that started at York University and moved down here. I’m working underĀ Marsha Chechik with Faraz Torshizi.

I’m also continuing the Cowichan parallel survey with Andrew Borzenko, under Greg Wilson. Last term we successfully implemented the problem set using Boost::MPI and Threading Building Blocks (TBB). So that’s two parallel paradigms down, and many, many more to go. This is what we’re up to this term:

  1. Tightening up the serial implementation. There’s a lot to be said for having a strong base to start from, and having the fastest serial implementation we can produce will be important for performance comparison.
  2. Standardizing the header files. As we’re only looking at implementing the problem set in C++ using libraries available to it at the moment, we’re defining a standard interface for the problems so that they can be called/chained in an abstract fashion. This also lets us put the performance evaluation code in one place.
  3. Uploading what we have so far. By the end of the term, we want our work to be available in a publically viewable location, complete with repository. We have that right now, to some extent, but clean-up must occur before we can actually “publish”.
  4. Implement with 2 more parallel systems. I’m using a product called LinuxTuples and Andrew’s using OpenMP.

I’m finding tuple spaces to be really interesting, and very theoretically pleasing. The performance seems to be decent too, and it seems like every problem fits into a nice box. More on that later.

Eve has, as one can probably tell from the sorry state of this page, come to a standstill. I’ll need to re-evaluate and make some less lofty (read: attainable) goals and an actual roadmap. When I get time to work on it, I’ll post more.

Who’s writing this?

My name is Cameron Gorrie. I'm an undergraduate student at the University of Toronto, with a strong interest in Artificial Intelligence and Computer Graphics. You can read more about me, or read my CV. If you have work or research opportunities in my interest areas, please do not hesitate to contact me.
April 2021
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