Manually selecting optimise exposure

hugin-exposure-optimise (text/plain), 5.62 KB, created by Jiří Vyskočil on 2008-10-22 16:30:28 UTC

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Parameters before optimisation: 12.74432 
Iteration: 0, error: 8.205639: 40%
Iter: 0, estimate: 12.7443225 -- errors 0.737877059 1.49317149
Iteration: 1, error: 8.135908: 40%
Iteration: 2, error: 8.128560: 40%
Iteration: 3, error: 8.124999: 40%
Iteration: 4, error: 8.124313: 40%
Iteration: 5, error: 8.124039: 40%
Iteration: 6, error: 8.123971: 40%
Iteration: 7, error: 8.123949: 40%
Iteration: 8, error: 8.123943: 40%
Levenberg-Marquardt returned 8 in 8 iter, reason 2
Solution: 12.70545 

Minimization info:
1.49317 1.46359 0.0034315 1.16179e-08 1.45603e-07 8 2 10 1 
Parameters before optimisation: 0 0 0 12.70545 
Iteration: 0, error: 8.123943: 40%
Iter: 0, estimate: 0 0 0 12.7054525 -- errors 1.41229434 1.46358714
Iteration: 1, error: 6.879150: 40%
Iteration: 2, error: 6.879150: 40%
Iteration: 3, error: 6.879150: 40%
Iteration: 4, error: 6.879150: 40%
Iteration: 5, error: 6.879150: 40%
Iteration: 6, error: 6.859951: 40%
Iteration: 7, error: 6.854387: 40%
Iteration: 8, error: 6.849587: 40%
Iteration: 9, error: 6.847953: 40%
Iteration: 10, error: 6.846323: 40%
Iter: 10, estimate: -0.240024185 -0.0997946125 0.109861831 12.6921057 -- errors 0.00766306877 1.03944067
Iteration: 11, error: 6.845513: 40%
Iteration: 12, error: 6.844719: 40%
Iteration: 13, error: 6.844223: 40%
Iteration: 14, error: 6.843854: 40%
Iteration: 15, error: 6.842857: 40%
Iteration: 16, error: 6.840916: 40%
Iteration: 17, error: 6.838035: 40%
Iteration: 18, error: 6.836987: 40%
Iteration: 19, error: 6.836688: 40%
Iteration: 20, error: 6.836572: 40%
Iter: 20, estimate: -0.750753854 0.878680149 -0.45096495 12.6911341 -- errors 9.47759375e-05 1.03648195
Iteration: 21, error: 6.836552: 40%
Iteration: 22, error: 6.836547: 40%
Iteration: 23, error: 6.836546: 40%
Levenberg-Marquardt returned 23 in 23 iter, reason 1
Solution: -0.7748652 0.9262006 -0.4787277 12.69111 

Minimization info:
1.46359 1.03647 9.08991e-06 0 1.9641e-08 23 1 36 3 
Parameters before optimisation: 0 0 0 0 0 -0.7748652 0.9262006 -0.4787277 12.69111 
Iteration: 0, error: 6.836546: 40%
Iter: 0, estimate: 0 0 0 0 0 -0.77486523 0.926200645 -0.478727687 12.691113 -- errors 0.811269409 1.03647406
Iteration: 1, error: 5.499649: 40%
Iteration: 2, error: 5.499649: 40%
Iteration: 3, error: 5.499649: 40%
Iteration: 4, error: 5.499649: 40%
Iteration: 5, error: 5.499649: 40%
Iteration: 6, error: 5.488355: 40%
Iteration: 7, error: 5.477910: 40%
Iteration: 8, error: 5.470108: 40%
Iteration: 9, error: 5.465123: 40%
Iteration: 10, error: 5.463464: 40%
Iter: 10, estimate: -0.14966079 -0.115069133 -0.0556743005 0.294510517 0.0965879774 -0.785302473 0.920092752 -0.491390022 12.8211955 -- errors 0.00580675968 0.661943645
Iteration: 11, error: 5.462485: 40%
Iteration: 12, error: 5.460550: 40%
Iteration: 13, error: 5.454730: 40%
Iteration: 14, error: 5.442787: 40%
Iteration: 15, error: 5.442787: 40%
Iteration: 16, error: 5.428836: 40%
Iteration: 17, error: 5.428836: 40%
Iteration: 18, error: 5.413819: 40%
Iteration: 19, error: 5.413819: 40%
Iteration: 20, error: 5.405608: 40%
Iter: 20, estimate: 0.0499548746 1.38792063 -0.38242565 0.591617488 -0.166109922 -0.695059248 0.887249064 -0.490542458 12.5077044 -- errors 0.140828513 0.647998451
Iteration: 21, error: 5.403733: 40%
Iteration: 22, error: 5.401918: 40%
Iteration: 23, error: 5.401918: 40%
Iteration: 24, error: 5.401918: 40%
Iteration: 25, error: 5.400904: 40%
Iteration: 26, error: 5.395211: 40%
Iteration: 27, error: 5.395211: 40%
Iteration: 28, error: 5.393479: 40%
Iteration: 29, error: 5.393479: 40%
Iteration: 30, error: 5.392491: 40%
Iter: 30, estimate: -0.200252768 1.56843976 -0.456732078 0.639010543 -0.162393115 -0.61402387 0.742766013 -0.409671163 12.4882273 -- errors 0.0147207946 0.644857487
Iteration: 31, error: 5.392165: 40%
Iteration: 32, error: 5.390184: 40%
Iteration: 33, error: 5.389019: 40%
Iteration: 34, error: 5.389019: 40%
Iteration: 35, error: 5.389019: 40%
Iteration: 36, error: 5.388375: 40%
Iteration: 37, error: 5.388375: 40%
Iteration: 38, error: 5.388375: 40%
Iteration: 39, error: 5.388369: 40%
Iteration: 40, error: 5.388369: 40%
Iter: 40, estimate: -0.518263853 1.91869992 -0.597190454 0.696491506 -0.207651232 -0.566402733 0.668171997 -0.367883256 12.4452003 -- errors 5.59040381e-05 0.643871943
Iteration: 41, error: 5.388368: 40%
Iteration: 42, error: 5.388365: 40%
Iteration: 43, error: 5.388357: 40%
Iteration: 44, error: 5.388353: 40%
Iteration: 45, error: 5.388352: 40%
Iteration: 46, error: 5.388233: 40%
Iteration: 47, error: 5.388233: 40%
Iteration: 48, error: 5.388231: 40%
Iteration: 49, error: 5.388230: 40%
Iteration: 50, error: 5.388230: 40%
Iter: 50, estimate: -0.476545674 1.88804483 -0.580880126 0.691208737 -0.203064523 -0.570655982 0.675921226 -0.372684645 12.4482047 -- errors 4.64087319e-05 0.643838731
Iteration: 51, error: 5.388228: 40%
Iteration: 52, error: 5.388227: 40%
Iteration: 53, error: 5.388227: 40%
Iteration: 54, error: 5.388226: 40%
Iteration: 55, error: 5.388225: 40%
Iteration: 56, error: 5.388225: 40%
Iteration: 57, error: 5.388225: 40%
Iteration: 58, error: 5.388197: 40%
Iteration: 59, error: 5.388197: 40%
Iteration: 60, error: 5.387889: 40%
Iter: 60, estimate: -0.450638952 1.90021704 -0.581317878 0.690380901 -0.206576869 -0.583918663 0.702567692 -0.388028625 12.4448625 -- errors 0.00227335811 0.643757323
Iteration: 61, error: 5.387827: 40%
Iteration: 62, error: 5.387806: 40%
Iteration: 63, error: 5.387796: 40%
Iteration: 64, error: 5.387794: 40%
Iteration: 65, error: 5.387794: 40%
Segmentation fault