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[tduell <1402347@xxxxxxxxxxxxxxxxxx>]

I tried your .pto with hugin-2014.1.0 (Fedora 20 x86_64) and also
suffered seg fault. Abridged output below.

 [terry@localhost Ben-hill]$ autooptimiser -a -s -o unopt2.pto unopt.pto
*** Adaptive geometric optimisation
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints 
after 0 iteration(s):          21.3412455531342 units
Strategy 1
Average (rms) distance between Controlpoints 
after 1 iteration(s):          20.7827199890714 units
Strategy 1
Average (rms) distance between Controlpoints 
after 2 iteration(s):          19.7306247191586 units
...

Average (rms) distance between Controlpoints 
after 10 iteration(s):          2.06359750674725 units

Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints 
after 0 iteration(s):          1.91010754997567 units
Strategy 2
Average (rms) distance between Controlpoints 
after 1 iteration(s):          1.87699735422871 units
Strategy 2
...

Strategy 2
Average (rms) distance between Controlpoints 
after 12 iteration(s):          1.84522225258518 units
Strategy 2
Average (rms) distance between Controlpoints 
after 13 iteration(s):          1.84522222367106 units
Strategy 2
Average (rms) distance between Controlpoints 
after 14 iteration(s):          1.84522212934235 units

Segmentation fault (core dumped)

So, it isn't just an OSX issue.
During the optimisation I had roughly 12.3 GB free, out of a total 16 GB.

Cheers,
Terry

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https://bugs.launchpad.net/bugs/1402347

Title:
  Segmentation autooptimiser

Status in Hugin - Panorama Tools GUI:
  Incomplete

Bug description:
  Segfault using command line 
  OSX 10.9.5
  Very large set of control points (10k+) - could this be it?  How come it segfaults late after a lot of steps and not early?
  Any way to get it to output after each iteration so I don't lose a day of CPU time?
  autooptimiser version 2014.0.0 built by Matthieu DESILE

  
  Thanks!

  /Applications/CIOTW/Hugin/Hugin.app/Contents/MacOS/autooptimiser -a -s -m -o project1.pto unopt.pto
  *** Adaptive geometric optimisation
  Optimizing Variables
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 0 iteration(s):          21.3412455531342 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 1 iteration(s):           20.782719988699 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 2 iteration(s):          19.7306247970753 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 3 iteration(s):          17.6435844732556 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 4 iteration(s):          13.5340788487278 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 5 iteration(s):          5.65389441304538 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 6 iteration(s):          3.07970340905523 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 7 iteration(s):          2.73728694462394 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 8 iteration(s):          2.34698686018928 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 9 iteration(s):          2.11046162527549 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 10 iteration(s):          2.07022086098916 units
  Strategy 1
  Average (rms) distance between Controlpoints 
  after 11 iteration(s):          2.07022086098916 units

  Optimizing Variables
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 0 iteration(s):          1.92672078393405 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 1 iteration(s):          1.88786069412307 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 2 iteration(s):          1.87438550339538 units

  
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 3 iteration(s):          1.85729101654478 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 4 iteration(s):          1.85106831230553 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 5 iteration(s):          1.84714255659054 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 6 iteration(s):          1.84596023689701 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 7 iteration(s):          1.84548453420456 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 8 iteration(s):          1.84531574757642 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 9 iteration(s):          1.84525847815409 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 10 iteration(s):          1.84523932666178 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 11 iteration(s):          1.84522703991422 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 12 iteration(s):          1.84522589794342 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 13 iteration(s):          1.84522580718591 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 14 iteration(s):           1.8452255766334 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 15 iteration(s):          1.84522335069066 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 16 iteration(s):          1.84522208887578 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 17 iteration(s):          1.84522208726154 units
  Strategy 2
  Average (rms) distance between Controlpoints 
  after 18 iteration(s):          1.84522207229919 units

  Segmentation fault: 11

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