(a.out, no work on cpushare integration here)
- introduce rubikutils, basicaly MR's structures and cube functions, but
adding cube orientation to the cube structure
- rubikutils' main() inputs and validate a cube with center faces.
- input order is:
F R U B L D UF UR UB UL DF DR DB DL FR FL BR BL UFR URB UBL ULF DRF DFL DLB DBR
git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/research@2739 92316355-f0b4-4df1-b90c-862c8a59935f
* Add results for mode 8 in part0/lena-values.txt.
* Make the bytecode version use less memory.
git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/research@2288 92316355-f0b4-4df1-b90c-862c8a59935f
* Implemented main.c as a seccomp bytecode for CPUShare.
git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/research@2286 92316355-f0b4-4df1-b90c-862c8a59935f
Ostromoukhov and serpentine optimum) as mode 5.
* Add a script to perform mode 5 on a directory's contents.
git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/research@2278 92316355-f0b4-4df1-b90c-862c8a59935f
worth it, but since it's also better style, I'm keeping them.
git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/research@2276 92316355-f0b4-4df1-b90c-862c8a59935f
1. study displacement on progressive blends of 2 images
2. exhaustive ED kernel optimisation using standard HVS gaussian distance
3. exhaustive ED kernel optimisation using off-center gaussian distance
git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/research@2274 92316355-f0b4-4df1-b90c-862c8a59935f
well as the associated C source code. Both will require huge cleanup for a
final release.
git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/research@2273 92316355-f0b4-4df1-b90c-862c8a59935f
kali
sam