Running bin\geopdvc.pl at Sat Nov 12 03:01:18 2016 on host solstice Command line: bin\geopdvc.pl -rov vnta -dive 3955 bin\geopdvc.pl: Getting Expedition object for diveno = 3955 and rname = vnta set_expd(): rov = vnta, diveno = 3955 set_expd(): Executing sql: SELECT ExpeditionID_FK, DateDiff(ss, '01/01/70', DiveStartDtg), DateDiff(ss, '01/01/70', DiveEndDtg), DiveStartDtg, DiveEndDtg FROM Dive WHERE DiveNumber = 3955 AND RovName = 'vnta' RS->Fields(0)->Value= 5690 RS->Fields(1)->Value= 1473883770 RS->Fields(2)->Value= 1473887190 RS->Fields(3)->Value= 9/14/2016 8:09:30 PM RS->Fields(4)->Value= 9/14/2016 9:06:30 PM set_expd(): $self->{EndDDD} = 258 set_expd(): $self->{StartEsecs} = 1473882570 set_expd(): $self->{EndEsecs} = 1473888390 set_expd(): $self->{EndDtg} = 9/14/2016 9:06:30 PM _readLogr(): Reading videologr data from 2016258datavislogr.dat.gz. _readLogr(): Expedition start & stop times are 1473882570 & 1473888390 _readLogr(): Flushing variable names: _readLogr(): esecs of file line[0] = 1473888392, self->{EndEsecs} = 1473888390 _readLogr(): #LOGHOST_SYSTEM_UTC = 581 _readLogr(): $LOGHOST_SYSTEM_UTC[beg] = 1473882571 _readLogr(): $LOGHOST_SYSTEM_UTC[end] = 1473888382 set_expd(): Calling _refineStartAndEndEsecs... refineStartAndEndEsecs(): LOGHOST_SYSTEM_UTC[0] = 1473882571 refineStartAndEndEsecs(): $LOGHOST_SYSTEM_UTC[end] = 1473888382 refineStartAndEndEsecs(): numMinBack = 22, numMinForward = 22 refineStartAndEndEsecs(): Refined StartEsecs = 1473882450, Refined EndEsecs = 1473888510 _readLogr(): Reading videologr data from 2016258datavislogr.dat.gz. _readLogr(): Expedition start & stop times are 1473882450 & 1473888510 _readLogr(): Flushing variable names: _readLogr(): esecs of file line[0] = 1473888512, self->{EndEsecs} = 1473888510 _readLogr(): #LOGHOST_SYSTEM_UTC = 605 _readLogr(): $LOGHOST_SYSTEM_UTC[beg] = 1473882451 _readLogr(): $LOGHOST_SYSTEM_UTC[end] = 1473888502 bin\geopdvc.pl: expdid = 5690 bin\geopdvc.pl: Calling rovNavCTDO to get raw nav data... rovnavCTDO(): calcUTM = 0 rovnavCTDO(): getRaw = 1 rovNav(): 1, calcUTM = 0 rovNav(): 2, getRaw = 1 rovNav(): calcUTM = 0 rovNav(): DDD = 258 (looping to 258) Does file exist?: \\atlas\RovNavEdit\2016\vnta\nav2016258vntaedited.txt yes. EXPD.pm: editNav flag = rovNav(): Opening ROV nav data from \\atlas\RovNavEdit\2016\vnta\nav2016258vnta.txt esecs, east, north, lat, lon, head, pres 1473883977, 0, 0, 36.748375, -122.106505, 359.1, 72.06 1473884478, 0, 0, 36.748772, -122.106828, 6.3, 242.70 1473884979, 0, 0, 36.748943, -122.106833, 22.2, 417.13 1473885479, 0, 0, 36.749545, -122.107085, 82.8, 429.66 1473885980, 0, 0, 36.748480, -122.108215, 209.6, 352.96 1473886481, 0, 0, 36.748690, -122.108035, 219.3, 215.03 1473886982, 0, 0, 36.749658, -122.108135, 352.5, 66.46 rovNav(): 258: 3414 in tList after reading from \\atlas\RovNavEdit\2016\vnta\nav2016258vnta.txt 3414 in tList 3414 in {self->{rovT}} 3414 in {self->{rovH}} rovCTDO(): ROV CTDO start & stop times are 1473887175 & 1473886665 rovNavCTDO(): Looking up ROVCTDO data ('.'found, 'X' exceeds max iter.): ............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................XXXXXXXX rovGDCListRefs(): dMedian = 269.186935398584 rovGDCListRefs(): dStats->sample_range = 438.495155469477 rovGDCListRefs(): returning (1st elements): 1473883774 36.703897 -122.050202 35.9 2.58078313994959 geopdcv.pl(): editedNav flag = 1 Using mbnavedit edited Navigation. rovnavCTDO(): calcUTM = 0 rovNav(): 1, calcUTM = 0 rovNav(): calcUTM = 0 rovNav(): DDD = 258 (looping to 258) Does file exist?: \\atlas\RovNavEdit\2016\vnta\nav2016258vntaedited.txt yes. EXPD.pm: editNav flag = rovNav(): Opening ROV nav data from \\atlas\RovNavEdit\2016\vnta\nav2016258vntaedited.txt esecs, east, north, lat, lon, head, pres 1473883977, 0, 0, 36.748367, -122.106515, 359.1, 72.06 1473884478, 0, 0, 36.748748, -122.106834, 6.3, 242.70 1473884979, 0, 0, 36.748942, -122.106824, 22.2, 417.13 1473885479, 0, 0, 36.749526, -122.107076, 82.8, 429.66 1473885980, 0, 0, 36.748378, -122.108082, 209.6, 352.96 1473886481, 0, 0, 36.748698, -122.108031, 219.3, 215.03 1473886982, 0, 0, 36.749649, -122.108130, 352.5, 66.46 rovNav(): 258: 3414 in tList after reading from \\atlas\RovNavEdit\2016\vnta\nav2016258vntaedited.txt 3414 in tList 3414 in {self->{rovT}} 3414 in {self->{rovH}} rovCTDO(): ROV CTDO start & stop times are 1473887175 & 1473886665 rovNavCTDO(): Looking up ROVCTDO data ('.'found, 'X' exceeds max iter.): XXXXXXXXXXXXXXXXXXXXXX......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................XXXXXXXX rovGDCListRefs(): dMedian = 269.186935470012 rovGDCListRefs(): dStats->sample_range = 438.49516560959 rovGDCListRefs(): returning (1st elements): 1473883774 36.748152 -122.106453 35.9 2.58077303996774 bin\geopdvc.pl: ------------------------------------------------------------------------------- hash{lat} = 36.74874900 hash{lon} = -122.10708900 latMin = 30.748749 latMax = 42.748749 Executing sql: SELECT Area, Latitude, Longitude FROM GeoOrigin WHERE Latitude BETWEEN 30.748749 AND 42.748749 AND Longitude BETWEEN -128.107089 AND -116.107089 Dive lat = 36.74874900, area = cencal bin\geopdvc.pl: Found area = cencal in GeoOrigin For midpoint lon = -122.10708900 & lat = 36.74874900 Using olon = -122 & olat = 36 bin\geopdvc.pl: CalliframeGrabs(): Can't get http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2016/258/accesses.txt at bin\geopdvc.pl line 2382 ng makeROVorig... inline_name = vnta3955rov_orig.wrl Making color lookup world... var = Light, vmin = 40, vmax = 100 val = 40, color = .8 .7 0 val = 70, color = .6 .5 0 val = 85, color = .1 .1 0 val = 100, color = 1 1 1 var = O2, vmin = 0.2, vmax = 5 val = 0.2, color = 1 1 1 val = 0.3, color = 1 1 .2 val = 0.5, color = 1 1 0 val = 0.7, color = 0 1 0 val = 5, color = 0 0 1 var = Sal, vmin = 33, vmax = 35 val = 33, color = 1 1 .1 val = 33.5, color = 1 1 0 val = 34, color = 1 0 0 val = 34.5, color = .2 1 0 val = 35, color = 0 1 0 var = Temp, vmin = 4, vmax = 15 val = 4, color = 0 0 1 val = 8, color = 1 1 0 val = 10, color = 0 1 0 val = 15, color = 1 0 0 World = geo2016/vnta/vnta3955lookup.wrl bin\geopdvc.pl: Getting ship nav... shipNav(): selecting for ShipName = rcsn shipNav(): WARNING: no match for ShipName = rcsn shipNav(): $#{$self->{shipLat}} = 605 shipNav(): $#{$self->{shipLat}}[last] = 36.759288 Position subsampling set to 3 setROVcolorlines(): Assigning color line for Light... varColors = LightColors index0 = 0.1457 0.1365 0.0000 setROVcolorlines(): Assigning color line for O2... varColors = O2Colors index0 = 0.0000 0.2000 0.8000 setROVcolorlines(): Assigning color line for Sal... varColors = SalColors index0 = 1.0000 0.7880 0.0000 setROVcolorlines(): Assigning color line for Temp... varColors = TempColors index0 = 0.2686 0.7314 0.0000 makeTracks(): n = 3415 makeTracks(): Looping through 605 point of ship position data... makeTracks(): posSubsample = 3 makeTracks(): Writing tracks file... makeTracks(): INFO $sname = inline_name = vnta3955tracks.wrl writeCtdPosFile(): Writing merged CTD Nav data to geo2016/vnta/vnta3955mergedCtdNav.txt... bin\geopdvc.pl: Annotations: annotations(): Executing sql: SELECT DISTINCT DateDiff(ss, '01/01/70', RecordedDate) AS Esecs, CONVERT(CHAR(8), RecordedDate, 1) + ' ' + SUBSTRING(CONVERT(CHAR(19), RecordedDate, 120), 12, 8) AS DateTime, VideoArchiveName AS TapeNum, TapeTimeCode, ConceptName, Image AS StillImageURL, Depth, Latitude, Longitude, CameraDirection AS Direction, ISNULL(Observer, '') AS Observer, AnnotationMode, ObservationID_FK AS ObservationID FROM dbo.Annotations WHERE (ShipName = '') AND (RecordedDate BETWEEN '9/14/2016 8:09:30 PM' AND '9/14/2016 9:06:30 PM') OR (RovName = 'Ventana') AND (RecordedDate BETWEEN '9/14/2016 8:09:30 PM' AND '9/14/2016 9:06:30 PM') _findIndex(): Looking for epoch secs 1473885122 ... Found time 1473885122 after 7 iterations. >>> p = 1346: annotations(): 1346, 1473885122, 09/14/16 20:32:02, V3955-01HD, 00:25:07:15, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_25_07_15.jpg, 439.369995117188, cruise, robs, u, 20063561 _findIndex(): Looking for epoch secs 1473885167 ... Found time 1473885162 after 4 iterations. >>> p = 1386: annotations(): 1386, 1473885167, 09/14/16 20:32:47, V3955-01HD, 00:25:52:14, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_25_52_14.jpg, 440.160003662109, cruise, robs, u, 20063562 _findIndex(): Looking for epoch secs 1473885218 ... Found time 1473885215 after 5 iterations. >>> p = 1439: annotations(): 1439, 1473885218, 09/14/16 20:33:38, V3955-01HD, 00:26:43:12, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_26_43_12.jpg, 439.480010986328, cruise, robs, u, 20063563 _findIndex(): Looking for epoch secs 1473885222 ... Found time 1473885221 after 8 iterations. >>> p = 1445: annotations(): 1445, 1473885222, 09/14/16 20:33:42, V3955-01HD, 00:26:48:12, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_26_48_12.jpg, 439.790008544922, cruise, robs, u, 20063564 _findIndex(): Looking for epoch secs 1473885234 ... Found time 1473885235 after 8 iterations. >>> p = 1459: annotations(): 1459, 1473885234, 09/14/16 20:33:54, V3955-01HD, 00:26:59:12, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_26_59_12.jpg, 439.769989013672, cruise, robs, u, 20063565 _findIndex(): Looking for epoch secs 1473885242 ... Found time 1473885242 after 6 iterations. >>> p = 1466: annotations(): 1466, 1473885242, 09/14/16 20:34:02, V3955-01HD, 00:27:07:27, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_27_07_27.jpg, 439.690002441406, cruise, robs, u, 20063566 _findIndex(): Looking for epoch secs 1473885253 ... Found time 1473885255 after 7 iterations. >>> p = 1479: annotations(): 1479, 1473885253, 09/14/16 20:34:13, V3955-01HD, 00:27:18:11, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_27_18_11.jpg, 439.339996337891, cruise, robs, u, 20063567 _findIndex(): Looking for epoch secs 1473885267 ... Found time 1473885269 after 3 iterations. >>> p = 1493: annotations(): 1493, 1473885267, 09/14/16 20:34:27, V3955-01HD, 00:27:32:26, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_27_32_26.jpg, 439.190002441406, cruise, robs, u, 20063568 _findIndex(): Looking for epoch secs 1473885278 ... Found time 1473885282 after 7 iterations. >>> p = 1506: annotations(): 1506, 1473885278, 09/14/16 20:34:38, V3955-01HD, 00:27:43:26, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_27_43_26.jpg, 439.269989013672, cruise, robs, u, 20063569 _findIndex(): Looking for epoch secs 1473885298 ... Found time 1473885295 after 6 iterations. >>> p = 1519: annotations(): 1519, 1473885298, 09/14/16 20:34:58, V3955-01HD, 00:28:04:10, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_28_04_10.jpg, 438.929992675781, cruise, robs, u, 20063570 _findIndex(): Looking for epoch secs 1473885300 ... Found time 1473885295 after 6 iterations. >>> p = 1519: annotations(): 1519, 1473885300, 09/14/16 20:35:00, V3955-01HD, 00:28:05:10, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_28_05_10.jpg, 438.989990234375, cruise, robs, u, 20063571 _findIndex(): Looking for epoch secs 1473885304 ... Found time 1473885308 after 7 iterations. >>> p = 1532: annotations(): 1532, 1473885304, 09/14/16 20:35:04, V3955-01HD, 00:28:09:25, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_28_09_25.jpg, 438.589996337891, cruise, robs, u, 20063572 _findIndex(): Looking for epoch secs 1473885311 ... Found time 1473885308 after 7 iterations. >>> p = 1532: annotations(): 1532, 1473885311, 09/14/16 20:35:11, V3955-01HD, 00:28:17:10, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_28_17_10.jpg, 438.359985351563, cruise, robs, u, 20063573 _findIndex(): Looking for epoch secs 1473885312 ... Found time 1473885308 after 7 iterations. >>> p = 1532: annotations(): 1532, 1473885312, 09/14/16 20:35:12, V3955-01HD, 00:28:17:25, Midwater Respirometry System, http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/images/3955/00_28_17_25.jpg, 438.359985351563, cruise, robs, u, 20063574 bin\geopdvc.pl: Calling placeAnnotations with every 10 annotation... placeAnnotations(): Placing annotation 10: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.5 db", "T: 6.513 C", "S: 34.215", "O: 0.576 ml/l", "L: 84.31 %"] inline_name = vnta3955anno10.wrl bin\geopdvc.pl: Calling placeAnnotations with every 2 annotation... placeAnnotations(): Placing annotation 2: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 445.8 db", "T: 6.51 C", "S: 34.215", "O: 0.577 ml/l", "L: 84.33 %"] placeAnnotations(): Placing annotation 4: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 445.2 db", "T: 6.51 C", "S: 34.215", "O: 0.577 ml/l", "L: 84.32 %"] placeAnnotations(): Placing annotation 6: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 445.3 frameGrabs(): Can't get http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2016/258/accesses.txt at bin\geopdvc.pl line 625 db", "T: 6.511 C", "S: 34.215", "O: 0.576 ml/l", "L: 84.33 %"] placeAnnotations(): Placing annotation 8: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.8 db", "T: 6.516 C", "S: 34.216", "O: 0.576 ml/l", "L: 84.3 %"] placeAnnotations(): Placing annotation 10: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.5 db", "T: 6.513 C", "S: 34.215", "O: 0.576 ml/l", "L: 84.31 %"] placeAnnotations(): Placing annotation 12: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 443.5 db", "T: 6.511 C", "S: 34.214", "O: 0.576 ml/l", "L: 84.31 %"] placeAnnotations(): Placing annotation 14: Ancillary data = ["", "P: 443.5 db", "T: 6.511 C", "S: 34.214", "O: 0.576 ml/l", "L: 84.31 %"] inline_name = vnta3955anno02.wrl bin\geopdvc.pl: Calling placeAnnotations with every 1 annotation... placeAnnotations(): Placing annotation 1: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.9 db", "T: 6.512 C", "S: 34.215", "O: 0.578 ml/l", "L: 84.32 %"] placeAnnotations(): Placing annotation 2: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 445.8 db", "T: 6.51 C", "S: 34.215", "O: 0.577 ml/l", "L: 84.33 %"] placeAnnotations(): Placing annotation 3: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.8 db", "T: 6.512 C", "S: 34.215", "O: 0.578 ml/l", "L: 84.32 %"] placeAnnotations(): Placing annotation 4: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 445.2 db", "T: 6.51 C", "S: 34.215", "O: 0.577 ml/l", "L: 84.32 %"] placeAnnotations(): Placing annotation 5: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 445.3 db", "T: 6.511 C", "S: 34.215", "O: 0.576 ml/l", "L: 84.33 %"] placeAnnotations(): Placing annotation 6: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 445.3 db", "T: 6.511 C", "S: 34.215", "O: 0.576 ml/l", "L: 84.33 %"] placeAnnotations(): Placing annotation 7: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 445.2 db", "T: 6.514 C", "S: 34.215", "O: 0.576 ml/l", "L: 84.22 %"] placeAnnotations(): Placing annotation 8: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.8 db", "T: 6.516 C", "S: 34.216", "O: 0.576 ml/l", "L: 84.3 %"] placeAnnotations(): Placing annotation 9: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.8 db", "T: 6.521 C", "S: 34.214", "O: 0.575 ml/l", "L: 84.29 %"] placeAnnotations(): Placing annotation 10: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.5 db", "T: 6.513 C", "S: 34.215", "O: 0.576 ml/l", "L: 84.31 %"] placeAnnotations(): Placing annotation 11: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 444.5 db", "T: 6.513 C", "S: 34.215", "O: 0.576 ml/l", "L: 84.31 %"] placeAnnotations(): Placing annotation 12: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 443.5 db", "T: 6.511 C", "S: 34.214", "O: 0.576 ml/l", "L: 84.31 %"] placeAnnotations(): Placing annotation 13: Midwater Respirometry System Ancillary data = ["Midwater Respirometry System", "P: 443.5 db", "T: 6.511 C", "S: 34.214", "O: 0.576 ml/l", "L: 84.31 %"] placeAnnotations(): Placing annotation 14: Ancillary data = ["", "P: 443.5 db", "T: 6.511 C", "S: 34.214", "O: 0.576 ml/l", "L: 84.31 %"] inline_name = vnta3955anno01.wrl frameGrabs(): Getting images from http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2016/vnta3955... frameGrabs(): matched 00_25_07_15 in