Messages

46

General / OpenGL error

« on: August 30, 2012, 11:37:55 AM »

I keep on getting this error when building the mesh.



Here is a screenshot of the console, as I cant copy paste Photoscan has crashed and if I click Yes or No it will close.



I am using the newest drivers for the Graphics card. and I am running 0.9 of Photoscan.

I have Nvidia GeForce GTX580 so there is plenty of power there.

47

General / Re: Agisoft PhotoScan 0.9.0 pre-release

« on: July 29, 2012, 09:53:39 PM »

This is pretty interesting... I think I will stick to the GTX580, the 680 cards seems to be driver crippled as people thought.

3 Images same settings as you used.

Code: [Select]

Device 1 performance: 166.105 million samples/sec (CPU)
Device 2 performance: 293.831 million samples/sec (GeForce GTX 580)
Total performance: 459.936 million samples/sec
I have

i7-3930K over-clocked to 4.5GHz
64GM RAM
MSI N580GTX Twin Frozr II/OC
win7 64bit

Such a shame of Nvidia to do this.

Then moving up to Ultra on these 3 particular image I got about: 333 million samples/sec (GeForce GTX 580)

Hey WG
I am running
i7-3820 @3.6GHz ..overclocked to 4.0GHz
32GB RAM
win7 64 version of 0.9.0 pre release

3 images and set to High Arbitrary  Smooth (100,000 polys)

Device 1 performance: 118.964 million samples/sec (CPU)
Device 2 performance: 199.001 million samples/sec (GeForce GTX 680)
Total performance: 317.964 million samples/sec

48

General / Re: Agisoft PhotoScan 0.9.0 pre-release

« on: July 12, 2012, 02:20:36 PM »

Hello Diego,

In 0.9.0 zero face count for Height Field objects now has different meaning. Now if "0" is used in Build Geometry dialog it refers to the default (recommended) value and not to the maximum number of faces.

So if you require more faces you should specify face count to desired or exceeding value.

It would be very handy to still have the option of specifying "do not decimate" with some value or checkbox. Like it used to work with using 0.

How does the recommended value work anyways, does it take into account the Maximum RAM in the machine to make sure it will not cache to disk, or what other vars. are there?

49

General / Re: Agisoft PhotoScan 0.9.0 pre-release

« on: July 11, 2012, 08:41:04 PM »

try create another USER  accound under Win and install there.....

That will not work, and it wouldnt be very useful ether..

50

General / Re: Agisoft PhotoScan 0.9.0 pre-release

« on: July 10, 2012, 01:39:57 PM »

How come these pre-releases can not be installed by the side of the stable versions on Windows... It is very easy on the Mac to have many versions of Photoscan at the same time.

As you wouldn't want to change to a pre-release only, but still would like to access it and try out.

51

General / Re: automatic turntable

« on: July 09, 2012, 05:13:36 PM »

Make your own, Arduino style

52

General / Re: Aligment problem with turntable

« on: July 06, 2012, 08:12:49 PM »

Did you select Photo->Import Mask after importing images and before the bundle adjustment.

53

General / Re: GPU fail changing to CPU

« on: July 04, 2012, 01:52:52 PM »

mmm.. not sure... but maybe the GPU is switching back ON at the next image...? or does it go OFF 'til the construction is complete...?

f/

It seems to get

ocl_engine.cpp line 320: clWaitForEvents failed, CL_MEM_OBJECT_ALLOCATION_FAILURE
GPU processing failed, swithing to CPU mode.

on every image.

54

General / GPU fail changing to CPU

« on: July 04, 2012, 01:42:13 AM »

Question 1

I am wondering when I get this error, I guess its due to the images being to large for the GPU to handle, can that be.. ? I am doing 21MP images on ultra and I have GTX 580 with 1.5GB RAM.

NOTE:

Code: [Select]

ocl_engine.cpp line 320: clWaitForEvents failed, CL_MEM_OBJECT_ALLOCATION_FAILURE
GPU processing failed, swithing to CPU mode.
Question 2

So when it does indeed change to CPU from the GPU, it does not seem to utilize 100% CPU, I guess that is due to Photoscan being set up not using all the cores, I have it set to feed info to the GPU on 2 cores (Hyper Threading CPU) so can it be right that Photoscan still has these cores disabled even when it fails to use GPU? It should in optimal world turn back on these 2 cores if they are unused becuase the GPU has been disabled.

55

General / Re: Yet again out of Memory

« on: June 20, 2012, 01:36:00 AM »

Logs

56

General / Yet again out of Memory

« on: June 20, 2012, 01:28:36 AM »

3 Days straight processing, comes to the last step and I get this.



There has to be a way to fix this, it has finished processing everything but in the last step it does not allow to cache more then certain amount and crash.

I have 64GB of RAM and 512GB cache space, "Photoscan does not seem to be able to use it all as it will crash when reaching up to a certain value" "Cache is a stripe of SSD disks and I could see way managed to keep up with Photoscan pretty good, not as RAM would but close"

This is a 3D object not ground so using height field is not an option.

57

General / Re: Can't open file - only camera location

« on: June 16, 2012, 02:37:11 AM »

Yes I have tried to repair the zip and it seems to be a no go, does not work.

58

General / Re: Can't open file - only camera location

« on: June 15, 2012, 08:13:25 PM »

hmm can send it to me ? over the dropbox ??

Its very large, and I have found out somehow Photoscan completely corrupted the file. I am not seeing it as usefull to send you the file.

59

General / Re: Can't open file - only camera location

« on: June 14, 2012, 01:00:12 AM »

changed the file to .zip and tried to extract, it is corrupt...

60

General / Can't open file - only camera location

« on: June 13, 2012, 01:15:06 PM »

I have a file I have saved and it only opens up the camera positions but does not open up the stereo reconstructed model, it gives this error.



I did get a crash when I was working on the file, but it saved successfully sometime before the crash.

Code: [Select]

ARB_texture_non_power_of_two: Yes
ARB_vertex_buffer_object: Yes
OpenGLMaxTextureSize: 16384
OpenGLRenderer: GeForce GTX 580/PCI/SSE2
OpenGLStereo: No
OpenGLVendor: NVIDIA Corporation
OpenGLVersion: 4.2.0
ProductName: PhotoScan Professional Edition
System: Windows 64bit
Throttleable: 1
URL:
Vendor: Agisoft
Version: 0.8.5.1423
XLog: ity using 279x298x128 tiles, offset -64
timings: rectify: 0.024 disparity: 0.419 borders: 0.013 filter: 0.027 fill: 0
estimating 928x1171x96 disparity using 232x235x96 tiles, offset -48
timings: rectify: 0.027 disparity: 0.653 borders: 0.021 filter: 0.042 fill: 0
estimating 896x1247x160 disparity using 224x250x160 tiles, offset 0
timings: rectify: 0.031 disparity: 1.177 borders: 0.016 filter: 0.033 fill: 0
estimating 1344x1041x96 disparity using 269x261x96 tiles, offset -96
timings: rectify: 0.028 disparity: 0.826 borders: 0.02 filter: 0.034 fill: 0
estimating 1008x1191x96 disparity using 252x239x96 tiles, offset -48
timings: rectify: 0.027 disparity: 1.046 borders: 0.015 filter: 0.031 fill: 0
estimating 1168x806x128 disparity using 234x269x128 tiles, offset -128
timings: rectify: 0.041 disparity: 0.661 borders: 0.02 filter: 0.041 fill: 0
estimating 816x1442x192 disparity using 272x241x192 tiles, offset -192
timings: rectify: 0.012 disparity: 0.887 borders: 0.009 filter: 0.021 fill: 0
estimating 1088x1241x96 disparity using 272x249x96 tiles, offset -96
timings: rectify: 0.034 disparity: 1.041 borders: 0.02 filter: 0.037 fill: 0
estimating 960x1178x96 disparity using 240x236x96 tiles, offset -48
timings: rectify: 0.017 disparity: 0.993 borders: 0.013 filter: 0.029 fill: 0
estimating 1072x834x128 disparity using 268x278x128 tiles, offset -127
timings: rectify: 0.028 disparity: 0.596 borders: 0.034 filter: 0.042 fill: 0
estimating 992x1158x128 disparity using 248x232x128 tiles, offset -68
timings: rectify: 0.012 disparity: 0.846 borders: 0.009 filter: 0.022 fill: 0
estimating 976x1273x96 disparity using 244x255x96 tiles, offset -96
timings: rectify: 0.029 disparity: 0.705 borders: 0.017 filter: 0.039 fill: 0
estimating 1056x1070x160 disparity using 264x268x160 tiles, offset -80
timings: rectify: 0.016 disparity: 0.949 borders: 0.011 filter: 0.026 fill: 0
estimating 1536x1168x256 disparity using 256x234x256 tiles, offset -128
timings: rectify: 0.027 disparity: 0.814 borders: 0.009 filter: 0.041 fill: 0
estimating 1792x1274x608 disparity using 256x255x608 tiles, offset -453
timings: rectify: 0.023 disparity: 3.542 borders: 0.014 filter: 0.039 fill: 0
estimating 1856x1404x768 disparity using 266x281x768 tiles, offset -619
timings: rectify: 0.055 disparity: 7.023 borders: 0.037 filter: 0.102 fill: 0
estimating 1728x1572x576 disparity using 247x262x576 tiles, offset -75
timings: rectify: 0.033 disparity: 10.919 borders: 0.012 filter: 0.053 fill: 0
estimating 1584x620x128 disparity using 264x310x128 tiles, offset -69
timings: rectify: 0.012 disparity: 0.788 borders: 0.004 filter: 0.017 fill: 0
estimating 1264x735x128 disparity using 253x245x128 tiles, offset 0
timings: rectify: 0.012 disparity: 0.802 borders: 0.005 filter: 0.017 fill: 0
estimating 1376x1120x128 disparity using 276x280x128 tiles, offset -64
timings: rectify: 0.091 disparity: 8.133 borders: 0.023 filter: 0.087 fill: 0
estimating 1584x1341x224 disparity using 264x269x224 tiles, offset -203
timings: rectify: 0.021 disparity: 1.428 borders: 0.011 filter: 0.034 fill: 0
estimating 1152x1021x192 disparity using 231x256x192 tiles, offset -96
timings: rectify: 0.053 disparity: 2.105 borders: 0.019 filter: 0.077 fill: 0
estimating 1376x1284x192 disparity using 276x257x192 tiles, offset -192
timings: rectify: 0.016 disparity: 1.556 borders: 0.01 filter: 0.027 fill: 0
estimating 1120x1261x224 disparity using 280x253x224 tiles, offset -112
timings: rectify: 0.047 disparity: 1.47 borders: 0.024 filter: 0.062 fill: 0
estimating 1152x1248x160 disparity using 231x250x160 tiles, offset -12
timings: rectify: 0.019 disparity: 2.083 borders: 0.01 filter: 0.031 fill: 0
estimating 1568x1072x992 disparity using 262x268x992 tiles, offset -443
timings: rectify: 0.064 disparity: 1.176 borders: 0.064 filter: 0.068 fill: 0
estimating 1584x1317x192 disparity using 264x264x192 tiles, offset -133
timings: rectify: 0.057 disparity: 1.892 borders: 0.081 filter: 0.086 fill: 0
estimating 912x1209x128 disparity using 228x242x128 tiles, offset -128
timings: rectify: 0.092 disparity: 0.801 borders: 0.058 filter: 0.043 fill: 0
estimating 1296x1424x160 disparity using 260x238x160 tiles, offset -160
timings: rectify: 0.085 disparity: 1.558 borders: 0.069 filter: 0.086 fill: 0
estimating 1056x1235x128 disparity using 264x247x128 tiles, offset -64
timings: rectify: 0.074 disparity: 0.873 borders: 0.026 filter: 0.082 fill: 0
estimating 672x1226x96 disparity using 224x246x96 tiles, offset 0
timings: rectify: 0.057 disparity: 0.597 borders: 0.061 filter: 0.056 fill: 0
estimating 1120x1277x96 disparity using 280x256x96 tiles, offset -48
timings: rectify: 0.074 disparity: 0.845 borders: 0.066 filter: 0.044 fill: 0
estimating 976x1169x96 disparity using 244x234x96 tiles, offset -48
timings: rectify: 0.061 disparity: 0.779 borders: 0.054 filter: 0.057 fill: 0
estimating 960x1350x96 disparity using 240x270x96 tiles, offset -96
timings: rectify: 0.023 disparity: 9.417 borders: 0.018 filter: 0.065 fill: 0
estimating 1504x1306x192 disparity using 251x262x192 tiles, offset -96
timings: rectify: 0.059 disparity: 0.664 borders: 0.026 filter: 0.061 fill: 0
estimating 1072x1205x96 disparity using 268x241x96 tiles, offset -48
timings: rectify: 0.038 disparity: 0.746 borders: 0.019 filter: 0.051 fill: 0
estimating 704x1305x96 disparity using 235x261x96 tiles, offset 0
timings: rectify: 0.043 disparity: 0.56 borders: 0.018 filter: 0.052 fill: 0
estimating 704x1265x64 disparity using 235x253x64 tiles, offset -64
timings: rectify: 0.069 disparity: 2.681 borders: 0.012 filter: 0.046 fill: 0
estimating 1520x1070x416 disparity using 254x268x416 tiles, offset -228
timings: rectify: 0.03 disparity: 0.455 borders: 0.052 filter: 0.064 fill: 0
estimating 864x1337x96 disparity using 288x268x96 tiles, offset -48
timings: rectify: 0.059 disparity: 0.684 borders: 0.024 filter: 0.047 fill: 0
estimating 976x1112x96 disparity using 244x278x96 tiles, offset 0
timings: rectify: 0.027 disparity: 0.665 borders: 0.041 filter: 0.052 fill: 0
estimating 1440x1179x96 disparity using 240x236x96 tiles, offset 0
timings: rectify: 0.056 disparity: 0.958 borders: 0.051 filter: 0.07 fill: 0
estimating 1232x1057x128 disparity using 247x265x128 tiles, offset -9
timings: rectify: 0.038 disparity: 0.904 borders: 0.032 filter: 0.06 fill: 0
estimating 1360x935x128 disparity using 272x234x128 tiles, offset -64
timings: rectify: 0.038 disparity: 4.223 borders: 0.01 filter: 0.035 fill: 0
estimating 1376x1185x416 disparity using 276x237x416 tiles, offset -29
timings: rectify: 0.046 disparity: 0.787 borders: 0.027 filter: 0.066 fill: 0
estimating 1168x987x96 disparity using 234x247x96 tiles, offset -96
timings: rectify: 0.047 disparity: 0.678 borders: 0.032 filter: 0.053 fill: 0
estimating 1424x878x128 disparity using 238x293x128 tiles, offset -64
timings: rectify: 0.045 disparity: 0.822 borders: 0.021 filter: 0.049 fill: 0
estimating 1472x1006x96 disparity using 246x252x96 tiles, offset -96
timings: rectify: 0.051 disparity: 0.838 borders: 0.041 filter: 0.078 fill: 0
estimating 1328x793x160 disparity using 266x265x160 tiles, offset -102
timings: rectify: 0.039 disparity: 0.768 borders: 0.028 filter: 0.051 fill: 0
estimating 1216x993x128 disparity using 244x249x128 tiles, offset -128
timings: rectify: 0.02 disparity: 4.307 borders: 0.012 filter: 0.047 fill: 0
estimating 1360x1092x320 disparity using 272x273x320 tiles, offset -249
timings: rectify: 0.04 disparity: 0.752 borders: 0.033 filter: 0.066 fill: 0
estimating 1216x834x160 disparity using 244x278x160 tiles, offset -145
timings: rectify: 0.017 disparity: 0.798 borders: 0.061 filter: 0.043 fill: 0
estimating 1072x1010x128 disparity using 268x253x128 tiles, offset -128
timings: rectify: 0.03 disparity: 0.722 borders: 0.018 filter: 0.041 fill: 0
timings: rectify: 0.049 disparity: 3.002 borders: 0.011 filter: 0.032 fill: 0
estimating 1536x1187x352 disparity using 256x238x352 tiles, offset -183
timings: rectify: 0.022 disparity: 4.142 borders: 0.013 filter: 0.04 fill: 0
estimating 608x1274x160 disparity using 304x255x160 tiles, offset 0
timings: rectify: 0.01 disparity: 0.703 borders: 0.006 filter: 0.015 fill: 0
estimating 1024x1309x160 disparity using 256x262x160 tiles, offset 0
timings: rectify: 0.017 disparity: 1.384 borders: 0.011 filter: 0.027 fill: 0
estimating 480x1311x128 disparity using 240x263x128 tiles, offset 0
timings: rectify: 0.008 disparity: 0.476 borders: 0.005 filter: 0.011 fill: 0
estimating 1136x1142x192 disparity using 284x286x192 tiles, offset -192
timings: rectify: 0.017 disparity: 1.515 borders: 0.012 filter: 0.023 fill: 0
estimating 1280x1292x128 disparity using 256x259x128 tiles, offset 0
timings: rectify: 0.021 disparity: 1.405 borders: 0.014 filter: 0.032 fill: 0
estimating 976x1128x160 disparity using 244x282x160 tiles, offset -160
timings: rectify: 0.014 disparity: 1.128 borders: 0.01 filter: 0.021 fill: 0
estimating 1024x1099x96 disparity using 256x275x96 tiles, offset -96
timings: rectify: 0.015 disparity: 0.751 borders: 0.01 filter: 0.024 fill: 0
estimating 1104x1451x96 disparity using 276x242x96 tiles, offset 0
timings: rectify: 0.02 disparity: 1.083 borders: 0.015 filter: 0.035 fill: 0
estimating 1328x1066x128 disparity using 266x267x128 tiles, offset -64
timings: rectify: 0.019 disparity: 1.196 borders: 0.014 filter: 0.029 fill: 0
estimating 1248x1060x128 disparity using 250x265x128 tiles, offset -14
timings: rectify: 0.017 disparity: 1.126 borders: 0.012 filter: 0.029 fill: 0
estimating 1392x896x96 disparity using 279x224x96 tiles, offset -96
timings: rectify: 0.016 disparity: 0.841 borders: 0.012 filter: 0.027 fill: 0
estimating 752x1106x96 disparity using 251x277x96 tiles, offset 0
timings: rectify: 0.01 disparity: 0.569 borders: 0.008 filter: 0.015 fill: 0
estimating 880x1206x96 disparity using 294x242x96 tiles, offset -96
timings: rectify: 0.013 disparity: 0.724 borders: 0.01 filter: 0.023 fill: 0
estimating 1040x1085x96 disparity using 260x272x96 tiles, offset 0
timings: rectify: 0.014 disparity: 0.753 borders: 0.011 filter: 0.023 fill: 0
estimating 624x1076x96 disparity using 312x269x96 tiles, offset -96
timings: rectify: 0.009 disparity: 0.4 borders: 0.007 filter: 0.013 fill: 0
estimating 736x1253x96 disparity using 246x251x96 tiles, offset -96
timings: rectify: 0.011 disparity: 0.639 borders: 0.008 filter: 0.019 fill: 0
estimating 576x1091x96 disparity using 288x273x96 tiles, offset -96
timings: rectify: 0.008 disparity: 0.374 borders: 0.006 filter: 0.013 fill: 0
estimating 944x1009x96 disparity using 236x253x96 tiles, offset -96
timings: rectify: 0.012 disparity: 0.649 borders: 0.009 filter: 0.019 fill: 0
estimating 592x1389x64 disparity using 296x278x64 tiles, offset -64
timings: rectify: 0.011 disparity: 0.35 borders: 0.008 filter: 0.015 fill: 0
estimating 1312x1321x128 disparity using 263x265x128 tiles, offset -128
timings: rectify: 0.022 disparity: 1.482 borders: 0.016 filter: 0.036 fill: 0
estimating 1840x1119x192 disparity using 263x280x192 tiles, offset -35
timings: rectify: 0.025 disparity: 2.413 borders: 0.018 filter: 0.043 fill: 0
estimating 1824x1398x224 disparity using 261x280x224 tiles, offset -12
timings: rectify: 0.032 disparity: 3.468 borders: 0.024 filter: 0.058 fill: 0
estimating 1440x848x128 disparity using 240x283x128 tiles, offset -128
timings: rectify: 0.016 disparity: 1.011 borders: 0.009 filter: 0.025 fill: 0
estimating 1904x1049x224 disparity using 272x263x224 tiles, offset -141
timings: rectify: 0.025 disparity: 2.679 borders: 0.015 filter: 0.041 fill: 0
estimating 1008x991x160 disparity using 252x248x160 tiles, offset -160
timings: rectify: 0.012 disparity: 1.036 borders: 0.009 filter: 0.021 fill: 0
estimating 992x1176x128 disparity using 248x236x128 tiles, offset -128
timings: rectify: 0.014 disparity: 1.012 borders: 0.01 filter: 0.025 fill: 0
estimating 1008x1040x160 disparity using 252x260x160 tiles, offset -160
timings: rectify: 0.013 disparity: 1.08 borders: 0.009 filter: 0.02 fill: 0
estimating 1536x1215x256 disparity using 256x243x256 tiles, offset -155
timings: rectify: 0.024 disparity: 2.899 borders: 0.011 filter: 0.039 fill: 0
estimating 1600x1137x160 disparity using 267x285x160 tiles, offset -83
timings: rectify: 0.024 disparity: 1.833 borders: 0.011 filter: 0.041 fill: 0
estimating 1632x1162x192 disparity using 272x233x192 tiles, offset -96
timings: rectify: 0.024 disparity: 2.288 borders: 0.011 filter: 0.044 fill: 0
estimating 1504x1260x192 disparity using 251x252x192 tiles, offset -192
timings: rectify: 0.024 disparity: 2.306 borders: 0.011 filter: 0.038 fill: 0
finished depth reconstruction in 8425.32 seconds
Device 1 performance: 231.268 million samples/sec (CPU)
Device 2 performance: 277.994 million samples/sec (GeForce GTX 580)
Total performance: 509.262 million samples/sec
Generating mesh...
Grid size: 2925 x 2925 x 2925
Tree depth: 12
356800645 points extracted
Tree set in 685.288 s
Tree size 12770.8 MB (209236560 leaves, 239127497 nodes)
Tree refined in 46.024s
Tree size 12770.8 MB (209236560 leaves, 239127497 nodes)
Laplacian weights set in 1842.52s
Tree refined in 51.085s
Tree size 12770.8 MB (209236560 leaves, 239127497 nodes)
Depth 1/12, 56.25% entries (36 / 8^2)
Depth 2/12, 34.2773% entries (1404 / 64^2)
Depth 3/12, 9.0452% entries (15057 / 408^2)
Depth 4/12, 2.13639% entries (96744 / 2128^2)
Depth 5/12, 0.48481% entries (496515 / 10120^2)
Depth 6/12, 0.110815% entries (2239212 / 44952^2)
Depth 7/12, 0.0257874% entries (10217835 / 199056^2)
Depth 8/12, 0.00538127% entries (46097688 / 925544^2)
Depth 9/12, 0.00112884% entries (228136066 / 4495520^2)
Depth 10/12, 0.000228896% entries (1138573851 / 22302896^2)
Depth 11/12
Nodes 1/8: 8971528, 0.000584652% entries (470576811 / 8971528^2)
Nodes 2/8: 8798416, 0.000598867% entries (463595572 / 8798416^2)
Nodes 3/8: 5806800, 0.000887169% entries (299143975 / 5806800^2)
Nodes 4/8: 13488, 0.311459% entries (566625 / 13488^2)
Nodes 5/8: 6900040, 0.000752882% entries (358451274 / 6900040^2)
Nodes 6/8: 10636776, 0.000492991% entries (557774724 / 10636776^2)
Nodes 7/8: 6305120, 0.000824411% entries (327740690 / 6305120^2)
Nodes 8/8: 29480, 0.147555% entries (1282359 / 29480^2)
Depth 12/12
Nodes 2/64: 104, 15.5695% entries (1684 / 104^2)
Nodes 4/64: 10054600, 0.000421375% entries (425989441 / 10054600^2)
Nodes 6/64: 4775552, 0.000898079% entries (204815011 / 4775552^2)
Nodes 8/64: 17260768, 0.000247816% entries (738328444 / 17260768^2)
Nodes 9/64: 2188656, 0.00190161% entries (91091285 / 2188656^2)
Nodes 11/64: 8179792, 0.00051067% entries (341684194 / 8179792^2)
Nodes 13/64: 9896584, 0.000428339% entries (419525550 / 9896584^2)
Nodes 15/64: 2628912, 0.00163785% entries (113194879 / 2628912^2)
Nodes 18/64: 7908952, 0.000532472% entries (333069155 / 7908952^2)
Nodes 20/64: 2088, 1.44015% entries (62787 / 2088^2)
Nodes 22/64: 15661264, 0.000275306% entries (675256162 / 15661264^2)
Nodes 34/64: 1349568, 0.00307128% entries (55938170 / 1349568^2)
Nodes 36/64: 16144296, 0.000268519% entries (699864596 / 16144296^2)
Nodes 38/64: 3077088, 0.00132119% entries (125096916 / 3077088^2)
Nodes 40/64: 5866616, 0.000709% entries (244017695 / 5866616^2)
Nodes 41/64: 6182048, 0.000679677% entries (259757105 / 6182048^2)
Nodes 43/64: 18342136, 0.000236159% entries (794519246 / 18342136^2)
Nodes 45/64: 2964072, 0.00134762% entries (118398390 / 2964072^2)
Nodes 47/64: 5788408, 0.000736926% entries (246912118 / 5788408^2)
Nodes 50/64: 18284712, 0.000233957% entries (782191265 / 18284712^2)
Nodes 54/64: 10170800, 0.000411751% entries (425936720 / 10170800^2)
Nodes 56/64: 13368, 0.249522% entries (445905 / 13368^2)
Nodes 57/64: 4128, 0.839787% entries (143103 / 4128^2)
Nodes 61/64: 33496, 0.119322% entries (1338774 / 33496^2)
Linear system solved in 2462.3s
Got Iso-value in 310.814s
Iso-value 44209.4
Normal Size: 210.634 MB
Set 16321687 root positions
Got triangles in 1215.79s
filtering mesh (32637339 -> 32389958)
Finished processing in 15543.6 sec (exit code 1)
saved project in 58.546 sec
Saving 3D model...
Finished processing in 278.219 sec (exit code 1)


This report also contains technical information about the state of the application when it crashed.