I'm noticing some discrepancies between the 64 bit and the 32 bit version of
mris_ca_label. I've shown the output from the 64 bit version and the 32 bit
version operating on the same subject. I'm using are the dev versions for
centos from the download site.

To note:
1. In the 64 bit version I get the following output during the process:
GCSANclassify: could not find GCS for node 0!
Numerical result out of range

The 32 bit version does not generate this error on either on th 64 bit
machine or a 32 bit machine.

2. The numerical values listed for changed and examined are different. This
could well be the case if there was some random element being used.

Thanks,

Satra


******************** 64 bit output ***********************
[EMAIL PROTECTED] subjects]$ FSParc/roi_classify cape01.02
reading atlas from
/speechlab/software/freesurfer.64/subjects/average/lh.SpeechLabAtlas02.gcs..
.
input 1: CURVATURE FILE, flags 0, avgs 0, name sulc
input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature
labeling surface...
relabeling using gibbs priors...
000:  12146 changed, 161370 examined...
001:   2766 changed, 44430 examined...
002:    867 changed, 13696 examined...
003:    356 changed, 4560 examined...
004:    174 changed, 2006 examined...
005:     99 changed, 984 examined...
006:     56 changed, 525 examined...
007:     35 changed, 299 examined...
008:     20 changed, 197 examined...
009:     13 changed, 110 examined...
010:      4 changed, 90 examined...
011:      4 changed, 22 examined...
012:      0 changed, 11 examined...
000: 296 total segments, 236 labels (2598 vertices) changed
001: 76 total segments, 16 labels (103 vertices) changed
002: 60 total segments, 0 labels (0 vertices) changed
10 filter iterations complete (10 requested, 95 changed)
writing output to lh-aparc.annot...
classification took 1 minutes and 29 seconds.
reading atlas from
/speechlab/software/freesurfer.64/subjects/average/rh.SpeechLabAtlas02.gcs..
.
input 1: CURVATURE FILE, flags 0, avgs 0, name sulc
input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature
labeling surface...
GCSANclassify: could not find GCS for node 0!
Numerical result out of range
GCSANclassify: could not find GCS for node 0!
Numerical result out of range
GCSANclassify: could not find GCS for node 0!
Numerical result out of range
relabeling using gibbs priors...
000:  10608 changed, 158433 examined...
001:   2326 changed, 38991 examined...
002:    725 changed, 11759 examined...
003:    307 changed, 3966 examined...
004:    150 changed, 1744 examined...
005:     51 changed, 827 examined...
006:     26 changed, 287 examined...
007:     12 changed, 146 examined...
008:     11 changed, 79 examined...
009:     11 changed, 54 examined...
010:      7 changed, 56 examined...
011:      6 changed, 38 examined...
012:      4 changed, 30 examined...
013:      2 changed, 21 examined...
014:      5 changed, 10 examined...
015:      0 changed, 17 examined...
000: 233 total segments, 174 labels (2403 vertices) changed
001: 72 total segments, 14 labels (54 vertices) changed
002: 58 total segments, 0 labels (0 vertices) changed
10 filter iterations complete (10 requested, 91 changed)
writing output to rh-aparc.annot...
classification took 1 minutes and 21 seconds.

*********************** 32 bit output on 64 bit machine ********
[EMAIL PROTECTED] subjects]$ FSParc/roi_classify cape01.02
reading atlas from
/speechlab/software/freesurfer.32/subjects/average/lh.SpeechLabAtlas02.gcs..
.
input 1: CURVATURE FILE, flags 0, avgs 0, name sulc
input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature
labeling surface...
relabeling using gibbs priors...
000:  12079 changed, 161370 examined...
001:   2690 changed, 44278 examined...
002:    810 changed, 13380 examined...
003:    361 changed, 4352 examined...
004:    178 changed, 2025 examined...
005:    105 changed, 1038 examined...
006:     69 changed, 608 examined...
007:     44 changed, 381 examined...
008:     26 changed, 233 examined...
009:     18 changed, 162 examined...
010:      7 changed, 106 examined...
011:      3 changed, 48 examined...
012:      2 changed, 21 examined...
013:      1 changed, 12 examined...
014:      0 changed, 5 examined...
000: 293 total segments, 234 labels (2674 vertices) changed
001: 78 total segments, 19 labels (100 vertices) changed
002: 59 total segments, 0 labels (0 vertices) changed
10 filter iterations complete (10 requested, 86 changed)
writing output to lh-aparc.annot...
classification took 1 minutes and 52 seconds.
reading atlas from
/speechlab/software/freesurfer.32/subjects/average/rh.SpeechLabAtlas02.gcs..
.
input 1: CURVATURE FILE, flags 0, avgs 0, name sulc
input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature
labeling surface...
relabeling using gibbs priors...
000:  10576 changed, 158433 examined...
001:   2384 changed, 38916 examined...
002:    683 changed, 11993 examined...
003:    313 changed, 3870 examined...
004:    164 changed, 1744 examined...
005:     94 changed, 929 examined...
006:     49 changed, 502 examined...
007:     20 changed, 286 examined...
008:     13 changed, 114 examined...
009:      7 changed, 75 examined...
010:      5 changed, 44 examined...
011:      4 changed, 27 examined...
012:      3 changed, 20 examined...
013:      4 changed, 19 examined...
014:      2 changed, 20 examined...
015:      3 changed, 14 examined...
016:      3 changed, 20 examined...
017:      1 changed, 16 examined...
018:      0 changed, 7 examined...
000: 230 total segments, 173 labels (2273 vertices) changed
001: 66 total segments, 9 labels (28 vertices) changed
002: 57 total segments, 0 labels (0 vertices) changed
10 filter iterations complete (10 requested, 83 changed)
writing output to rh-aparc.annot...
classification took 1 minutes and 42 seconds.

*********************** 32 bit output on 32 bit machine *******************
[EMAIL PROTECTED] subjects]$ FSParc/roi_classify cape01.02
reading atlas from
/speechlab/software/freesurfer.32/subjects/average/lh.SpeechLabAtlas02.gcs..
.
input 1: CURVATURE FILE, flags 0, avgs 0, name sulc
input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature
labeling surface...
relabeling using gibbs priors...
000:  12040 changed, 161370 examined...
001:   2723 changed, 44275 examined...
002:    794 changed, 13548 examined...
003:    348 changed, 4370 examined...
004:    185 changed, 1950 examined...
005:    101 changed, 1035 examined...
006:     76 changed, 607 examined...
007:     39 changed, 422 examined...
008:     25 changed, 223 examined...
009:     13 changed, 126 examined...
010:      5 changed, 65 examined...
011:      3 changed, 27 examined...
012:      4 changed, 20 examined...
013:      1 changed, 22 examined...
014:      2 changed, 5 examined...
015:      2 changed, 11 examined...
016:      2 changed, 10 examined...
017:      1 changed, 9 examined...
018:      0 changed, 9 examined...
000: 288 total segments, 226 labels (2311 vertices) changed
001: 79 total segments, 17 labels (109 vertices) changed
002: 62 total segments, 0 labels (0 vertices) changed
10 filter iterations complete (10 requested, 104 changed)
writing output to lh-aparc.annot...
classification took 3 minutes and 8 seconds.
reading atlas from
/speechlab/software/freesurfer.32/subjects/average/rh.SpeechLabAtlas02.gcs..
.
input 1: CURVATURE FILE, flags 0, avgs 0, name sulc
input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature
labeling surface...
relabeling using gibbs priors...
000:  10629 changed, 158433 examined...
001:   2376 changed, 39027 examined...
002:    729 changed, 12097 examined...
003:    325 changed, 4004 examined...
004:    183 changed, 1848 examined...
005:     91 changed, 982 examined...
006:     51 changed, 512 examined...
007:     38 changed, 284 examined...
008:     22 changed, 205 examined...
009:     12 changed, 133 examined...
010:      3 changed, 74 examined...
011:      3 changed, 16 examined...
012:      2 changed, 16 examined...
013:      2 changed, 10 examined...
014:      2 changed, 12 examined...
015:      2 changed, 10 examined...
016:      2 changed, 10 examined...
017:      3 changed, 12 examined...
018:      1 changed, 16 examined...
019:      0 changed, 7 examined...
000: 230 total segments, 173 labels (2426 vertices) changed
001: 65 total segments, 9 labels (61 vertices) changed
002: 56 total segments, 0 labels (0 vertices) changed
10 filter iterations complete (10 requested, 83 changed)
writing output to rh-aparc.annot...
classification took 3 minutes and 5 seconds.

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