User:Nrp/Weekly updates/20080712: Difference between revisions
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* Finished performance improvements: average_color is 4x faster, threshold is 2x faster, and mask.from_surface is 2x faster when using per pixel alphas. |
* Finished performance improvements: average_color is 4x faster, threshold is 2x faster, and mask.from_surface is 2x faster when using per pixel alphas. |
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* Documented connected_component a little better |
* Documented connected_component a little better |
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== Thursday == |
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* Added support for a second surface back into threshold |
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* Applied the same performance improvements to average_surfaces |
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* Got rid of the gcc warnings that I could get rid of |
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== Friday == |
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* First attempts at integrating my camera stuff with [[Physics]] |
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* Wrote an example script that shows the basic process of combining get_image, colorspace, average_color, threshold, connected_component, and centroid to do hue based object tracking. |
Latest revision as of 05:41, 12 July 2008
Saturday
- Performance testing on largest connected component. It runs at a usable speed on the XO, and about twice as fast as the other connected components function in pygame.
Sunday
- Started writing a function to get the average color of a surface or a part of a surface.
Monday
- Finished average color function, wrote an example script to show its use.
Tuesday
- Worked on improving the performance of functions that access surfaces.
Wednesday
- Finished performance improvements: average_color is 4x faster, threshold is 2x faster, and mask.from_surface is 2x faster when using per pixel alphas.
- Documented connected_component a little better
Thursday
- Added support for a second surface back into threshold
- Applied the same performance improvements to average_surfaces
- Got rid of the gcc warnings that I could get rid of
Friday
- First attempts at integrating my camera stuff with Physics
- Wrote an example script that shows the basic process of combining get_image, colorspace, average_color, threshold, connected_component, and centroid to do hue based object tracking.