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Author Topic: Continual crashing on build dense cloud  (Read 5111 times)

school

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Continual crashing on build dense cloud
« on: December 12, 2018, 10:39:28 PM »
Photoscan 1.4.4 on a custom built machine (Ryzen 7 1800x, 32g ram, 2x 1050ti GPU):

For a while I have had an occasional crash on the build dense cloud step. Now it seems to happen nearly constantly. I have enabled logging and it always happens at:
2018-12-12 14:17:58 filtering depth maps... .

In trying to find resolutions for this by searching the forum: I have ensured that my GPUs have the latest driver. I ran memtest86 with no errors. I have the latest version of pscan.

I cant get a dense cloud to build in this one current project on any resolution setting using an image set I have processed successfully. previously, on my laptop.

Any help would be greatly appreciated. The software usually quits quietly, with no error message, so it hasnt been possible to submit a report previously. The last time it failed, though, it did ask if I wanted to send a crash report. So I did and I included my email address and referenced my forum name "school".

Alexey Pasumansky

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Re: Continual crashing on build dense cloud
« Reply #1 on: December 12, 2018, 11:51:18 PM »
Hello school,

Depth maps filtering stage is CPU only, most likely such crashes are related to memory issues. So you have already submitted the crash report from one of the latest crashes?
Best regards,
Alexey Pasumansky,
Agisoft LLC

school

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Re: Continual crashing on build dense cloud
« Reply #2 on: December 13, 2018, 12:26:21 AM »
I gathered as much. And so I ran memtest86, but did not get any errors.

I did submit a report on the last crash which is the first time the crash reporter has popped up for me. I didnt have a thread to link to yet here, so I just included my forum name, "school", and my gmail address, as keywords.



Alexey Pasumansky

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Re: Continual crashing on build dense cloud
« Reply #3 on: December 13, 2018, 07:19:08 PM »
Hello school,

Looking on the crash reports we assume that the issue could be related to a known bug related to Ryzen processor. Have you tried to check it with "killer Ryzen" script?

https://github.com/corngood/kill-ryzen-win
https://github.com/suaefar/ryzen-test

Best regards,
Alexey Pasumansky,
Agisoft LLC

nlombardo896

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Re: Continual crashing on build dense cloud
« Reply #4 on: December 13, 2018, 08:18:05 PM »
I am having the same issue on an intel chip. However sometimes it will even cause a Blue Screen of Death (BSOD).

PC build is...
Alienware Area 51 R5
Intel i9 7900X
64GB RAM
2x GTX 1080 8GB
Windows 10 Pro

Always crashes on High when building dense cloud. 75% of the time crashes on Medium. Occasionally crashes on Low. Seems to always crash with more than 250 photos no matter what setting and even crashes while attempting to Align Photos with large sets. Some of our photo sets are 800-100 photos. We purchased this PC to basically only run Agisoft and can't get anything done yet.

Running latest Windows 10 updates, Latest GPU drivers, and all chipset drivers have been updated.

I tried to attached the latest crash log file that happened a few minutes ago but it is too big to upload.

Please help!

Alexey Pasumansky

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Re: Continual crashing on build dense cloud
« Reply #5 on: December 13, 2018, 08:32:27 PM »
Hello nlombardo896,

BSOD indicates that there are hardware or driver issues, have you checked if there's any address mentioned on it?

You can send the log to support@agisoft.com or share the link to the file put to some file sharing service.
Best regards,
Alexey Pasumansky,
Agisoft LLC

nlombardo896

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Re: Continual crashing on build dense cloud
« Reply #6 on: December 13, 2018, 08:42:52 PM »
I have just emailed the log file to the support email you provided. ticket 101783

the BSODs had the following stop codes...

IRQL_NOT_LESS_THAN_OR_EQUAL
SYSTEM_SERVICE_EXCEPTION
PAGE_FAULT_IN_NON_PAGED_AREA

Crashes only occur while running Photoscan


Mr.Vain

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Re: Continual crashing on build dense cloud
« Reply #7 on: December 16, 2018, 03:05:58 AM »
Have the same problem here, started to crash with a large photoset, do you think it will work with a smaller amount of photos?   :(
Crash report  here:



ARB_texture_non_power_of_two: Yes
ARB_vertex_buffer_object: Yes
CPU: Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz
OpenGLMaxTextureSize: 16384
OpenGLRenderer: ANGLE (NVIDIA Quadro M2000M Direct3D9Ex vs_3_0 ps_3_0)
OpenGLStereo: No
OpenGLVendor: Google Inc.
OpenGLVersion: OpenGL ES 2.0 (ANGLE 2.1.99f075dade7c)
ProductName: PhotoScan Pro
System: Windows 64bit
SystemMemory: 39.9 GB
Throttleable: 1
URL:
Vendor: Agisoft
Version: 1.4.2.6205
XLog: y: 0.376 borders: 0.016 filter: 0.035 fill: 0
[GPU] estimating 396x606x128 disparity using 396x606x8u tiles
timings: rectify: 0.082 disparity: 1.406 borders: 0.028 filter: 0.028 fill: 0
timings: rectify: 0.014 disparity: 0.403 borders: 0.009 filter: 0.023 fill: 0
[GPU] estimating 708x827x160 disparity using 708x827x8u tiles
timings: rectify: 0.05 disparity: 0.164 borders: 0.009 filter: 0.011 fill: 0
[GPU] estimating 372x862x160 disparity using 372x862x8u tiles
timings: rectify: 0.023 disparity: 0.31 borders: 0.014 filter: 0.04 fill: 0
[GPU] estimating 799x780x160 disparity using 799x780x8u tiles
timings: rectify: 0.024 disparity: 0.328 borders: 0.006 filter: 0.013 fill: 0
timings: rectify: 0.011 disparity: 0.561 borders: 0.146 filter: 0.158 fill: 0
[GPU] estimating 597x936x160 disparity using 597x936x8u tiles
timings: rectify: 0.014 disparity: 0.866 borders: 0.007 filter: 0.013 fill: 0
[GPU] estimating 953x847x128 disparity using 953x847x8u tiles
[CPU] estimating 475x740x128 disparity using 475x740x8u tiles
timings: rectify: 0.023 disparity: 0.382 borders: 0.052 filter: 0.051 fill: 0
[GPU] estimating 653x795x128 disparity using 653x795x8u tiles
timings: rectify: 0.021 disparity: 0.467 borders: 0.008 filter: 0.02 fill: 0
[GPU] estimating 748x1068x128 disparity using 748x1068x8u tiles
timings: rectify: 0.014 disparity: 0.306 borders: 0.026 filter: 0.028 fill: 0
[GPU] estimating 381x830x128 disparity using 381x830x8u tiles
timings: rectify: 0.031 disparity: 0.491 borders: 0.024 filter: 0.052 fill: 0
timings: rectify: 0.015 disparity: 1.014 borders: 0.009 filter: 0.028 fill: 0
[GPU] estimating 899x900x128 disparity using 899x900x8u tiles
[GPU] estimating 982x1183x128 disparity using 982x1183x8u tiles
timings: rectify: 0.017 disparity: 0.293 borders: 0.009 filter: 0.03 fill: 0
[GPU] estimating 591x935x128 disparity using 591x935x8u tiles
[GPU] estimating 509x756x128 disparity using 509x756x8u tiles
timings: rectify: 0.024 disparity: 0.562 borders: 0.013 filter: 0.093 fill: 0
timings: rectify: 0.015 disparity: 0.602 borders: 0.009 filter: 0.018 fill: 0
[GPU] estimating 997x1185x128 disparity using 997x1185x8u tiles
[GPU] estimating 1041x916x160 disparity using 1041x916x8u tiles
timings: rectify: 0.078 disparity: 1.6 borders: 0.03 filter: 0.039 fill: 0
[CPU] estimating 326x557x128 disparity using 326x557x8u tiles
timings: rectify: 0.016 disparity: 1.076 borders: 0.02 filter: 0.151 fill: 0
[GPU] estimating 813x1036x128 disparity using 813x1036x8u tiles
timings: rectify: 0.02 disparity: 0.733 borders: 0.017 filter: 0.047 fill: 0
timings: rectify: 0.014 disparity: 0.794 borders: 0.012 filter: 0.031 fill: 0
timings: rectify: 0.023 disparity: 1.29 borders: 0.01 filter: 0.067 fill: 0
[GPU] estimating 709x1061x128 disparity using 709x1061x8u tiles
[GPU] estimating 981x882x128 disparity using 981x882x8u tiles
[GPU] estimating 390x722x128 disparity using 390x722x8u tiles
timings: rectify: 0.059 disparity: 0.937 borders: 0.019 filter: 0.028 fill: 0
[CPU] estimating 266x405x96 disparity using 266x405x8u tiles
timings: rectify: 0.017 disparity: 0.656 borders: 0.01 filter: 0.023 fill: 0
timings: rectify: 0.017 disparity: 0.654 borders: 0.011 filter: 0.024 fill: 0
[GPU] estimating 505x806x128 disparity using 505x806x8u tiles
[GPU] estimating 821x1045x128 disparity using 821x1045x8u tiles
timings: rectify: 0.034 disparity: 0.484 borders: 0.011 filter: 0.021 fill: 0
timings: rectify: 0.032 disparity: 1.42 borders: 0.019 filter: 0.075 fill: 0
[CPU] estimating 368x605x96 disparity using 368x605x8u tiles
timings: rectify: 0.014 disparity: 0.347 borders: 0.057 filter: 0.043 fill: 0
timings: rectify: 0.014 disparity: 0.542 borders: 0.009 filter: 0.026 fill: 0
[GPU] estimating 349x716x128 disparity using 349x716x8u tiles
[GPU] estimating 598x683x128 disparity using 598x683x8u tiles
timings: rectify: 0.152 disparity: 1.216 borders: 0.005 filter: 0.012 fill: 0
[GPU] estimating 452x843x128 disparity using 452x843x8u tiles
timings: rectify: 0.007 disparity: 0.128 borders: 0.005 filter: 0.011 fill: 0
[GPU] estimating 520x975x160 disparity using 520x975x8u tiles
timings: rectify: 0.01 disparity: 0.239 borders: 0.005 filter: 0.017 fill: 0
[GPU] estimating 720x1066x128 disparity using 720x1066x8u tiles
timings: rectify: 0.012 disparity: 0.309 borders: 0.009 filter: 0.023 fill: 0
timings: rectify: 0.014 disparity: 0.71 borders: 0.006 filter: 0.041 fill: 0
[GPU] estimating 953x1178x128 disparity using 953x1178x8u tiles
timings: rectify: 0.061 disparity: 0.94 borders: 0.023 filter: 0.024 fill: 0
[CPU] estimating 520x768x128 disparity using 520x768x8u tiles
[GPU] estimating 417x468x128 disparity using 417x468x8u tiles
timings: rectify: 0.022 disparity: 0.972 borders: 0.006 filter: 0.013 fill: 0
[GPU] estimating 949x898x160 disparity using 949x898x8u tiles
timings: rectify: 0.017 disparity: 0.428 borders: 0.012 filter: 0.033 fill: 0
[GPU] estimating 960x1179x128 disparity using 960x1179x8u tiles
[GPU] estimating 481x380x320 disparity using 481x380x8u tiles
timings: rectify: 0.01 disparity: 0.368 borders: 0.002 filter: 0.018 fill: 0
[GPU] estimating 395x754x128 disparity using 395x754x8u tiles
timings: rectify: 0.023 disparity: 0.481 borders: 0.012 filter: 0.043 fill: 0
timings: rectify: 0.011 disparity: 0.471 borders: 0.004 filter: 0.008 fill: 0
[GPU] estimating 432x741x160 disparity using 432x741x8u tiles
[GPU] estimating 761x1068x128 disparity using 761x1068x8u tiles
timings: rectify: 0.009 disparity: 0.292 borders: 0.061 filter: 0.043 fill: 0
[GPU] estimating 470x794x192 disparity using 470x794x8u tiles
timings: rectify: 0.013 disparity: 0.481 borders: 0.025 filter: 0.031 fill: 0
timings: rectify: 0.017 disparity: 1.293 borders: 0.013 filter: 0.063 fill: 0
[GPU] estimating 596x936x160 disparity using 596x936x8u tiles
[GPU] estimating 635x888x320 disparity using 635x888x8u tiles
timings: rectify: 0.02 disparity: 0.184 borders: 0.007 filter: 0.02 fill: 0
[GPU] estimating 165x399x96 disparity using 165x399x8u tiles
timings: rectify: 0.011 disparity: 0.113 borders: 0.012 filter: 0.011 fill: 0
timings: rectify: 0.032 disparity: 1.001 borders: 0.031 filter: 0.012 fill: 0
[GPU] estimating 436x642x192 disparity using 436x642x8u tiles
timings: rectify: 0.068 disparity: 1.847 borders: 0.034 filter: 0.047 fill: 0
timings: rectify: 0.043 disparity: 0.32 borders: 0.021 filter: 0.019 fill: 0
[GPU] estimating 505x806x128 disparity using 505x806x8u tiles
[GPU] estimating 380x846x160 disparity using 380x846x8u tiles
timings: rectify: 0.009 disparity: 0.144 borders: 0.009 filter: 0.012 fill: 0
[GPU] estimating 599x1022x224 disparity using 599x1022x8u tiles
[CPU] estimating 547x850x128 disparity using 547x850x8u tiles
timings: rectify: 0.012 disparity: 0.225 borders: 0.021 filter: 0.025 fill: 0
timings: rectify: 0.04 disparity: 0.341 borders: 0.008 filter: 0.018 fill: 0
[GPU] estimating 859x925x192 disparity using 859x925x8u tiles
timings: rectify: 0.022 disparity: 1.126 borders: 0.005 filter: 0.036 fill: 0
timings: rectify: 0.012 disparity: 0.349 borders: 0.009 filter: 0.022 fill: 0
[GPU] estimating 761x1002x224 disparity using 761x1002x8u tiles
[GPU] estimating 544x1050x160 disparity using 544x1050x8u tiles
timings: rectify: 0.041 disparity: 1.144 borders: 0.007 filter: 0.045 fill: 0
[GPU] estimating 833x1064x160 disparity using 833x1064x8u tiles
timings: rectify: 0.011 disparity: 0.326 borders: 0.006 filter: 0.023 fill: 0
[GPU] estimating 670x966x160 disparity using 670x966x8u tiles
timings: rectify: 0.011 disparity: 0.281 borders: 0.015 filter: 0.018 fill: 0
[GPU] estimating 376x563x96 disparity using 376x563x8u tiles
[GPU] estimating 829x1021x224 disparity using 829x1021x8u tiles
timings: rectify: 0.009 disparity: 0.123 borders: 0.036 filter: 0.023 fill: 0
[GPU] estimating 411x398x96 disparity using 411x398x8u tiles
timings: rectify: 0.127 disparity: 0.955 borders: 0.007 filter: 0.155 fill: 0
timings: rectify: 0.095 disparity: 1.941 borders: 0.041 filter: 0.058 fill: 0
timings: rectify: 0.034 disparity: 0.235 borders: 0.004 filter: 0.019 fill: 0
timings: rectify: 0.017 disparity: 0.438 borders: 0.018 filter: 0.043 fill: 0
[GPU] estimating 557x756x128 disparity using 557x756x8u tiles
[GPU] estimating 995x1183x128 disparity using 995x1183x8u tiles
[GPU] estimating 997x1187x128 disparity using 997x1187x8u tiles
[CPU] estimating 680x829x128 disparity using 680x829x8u tiles
timings: rectify: 0.009 disparity: 0.42 borders: 0.074 filter: 0.088 fill: 0
[GPU] estimating 642x586x128 disparity using 642x586x8u tiles
timings: rectify: 0.015 disparity: 0.625 borders: 0.03 filter: 0.049 fill: 0
[GPU] estimating 997x1187x128 disparity using 997x1187x8u tiles
timings: rectify: 0.01 disparity: 0.183 borders: 0.009 filter: 0.02 fill: 0
timings: rectify: 0.109 disparity: 1.736 borders: 0.021 filter: 0.059 fill: 0
[GPU] estimating 642x647x128 disparity using 642x647x8u tiles
[GPU] estimating 992x1187x128 disparity using 992x1187x8u tiles
timings: rectify: 0.083 disparity: 0.517 borders: 0.014 filter: 0.086 fill: 0
timings: rectify: 0.028 disparity: 0.542 borders: 0.009 filter: 0.02 fill: 0
[GPU] estimating 618x784x128 disparity using 618x784x8u tiles
[GPU] estimating 523x609x128 disparity using 523x609x8u tiles
timings: rectify: 0.012 disparity: 0.331 borders: 0.005 filter: 0.021 fill: 0
timings: rectify: 0.011 disparity: 0.35 borders: 0.005 filter: 0.012 fill: 0
[GPU] estimating 424x957x128 disparity using 424x957x8u tiles
timings: rectify: 0.009 disparity: 0.185 borders: 0.005 filter: 0.014 fill: 0
[GPU] estimating 796x1032x160 disparity using 796x1032x8u tiles
timings: rectify: 0.108 disparity: 2.069 borders: 0.052 filter: 0.067 fill: 0
timings: rectify: 0.229 disparity: 2.159 borders: 0.012 filter: 0.211 fill: 0
timings: rectify: 0.013 disparity: 0.364 borders: 0.009 filter: 0.028 fill: 0
[GPU] estimating 1000x640x128 disparity using 1000x640x8u tiles
[CPU] estimating 768x799x128 disparity using 768x799x8u tiles
[GPU] estimating 978x1187x128 disparity using 978x1187x8u tiles
[GPU] estimating 230x333x96 disparity using 230x333x8u tiles
timings: rectify: 0.011 disparity: 0.296 borders: 0.023 filter: 0.023 fill: 0
timings: rectify: 0.008 disparity: 0.036 borders: 0.004 filter: 0.003 fill: 0
[GPU] estimating 618x784x128 disparity using 618x784x8u tiles
[GPU] estimating 369x675x128 disparity using 369x675x8u tiles
timings: rectify: 0.01 disparity: 0.232 borders: 0.038 filter: 0.038 fill: 0
[GPU] estimating 410x625x128 disparity using 410x625x8u tiles
timings: rectify: 0.015 disparity: 0.332 borders: 0.008 filter: 0.018 fill: 0
[GPU] estimating 978x1187x128 disparity using 978x1187x8u tiles
timings: rectify: 0.009 disparity: 0.138 borders: 0.014 filter: 0.018 fill: 0
[GPU] estimating 444x587x128 disparity using 444x587x8u tiles
timings: rectify: 0.036 disparity: 2.558 borders: 0.012 filter: 0.208 fill: 0
timings: rectify: 0.035 disparity: 0.572 borders: 0.01 filter: 0.059 fill: 0
timings: rectify: 0.063 disparity: 0.478 borders: 0.006 filter: 0.011 fill: 0
[GPU] estimating 487x799x96 disparity using 487x799x8u tiles
[GPU] estimating 914x1189x128 disparity using 914x1189x8u tiles
[GPU] estimating 995x1183x128 disparity using 995x1183x8u tiles
timings: rectify: 0.009 disparity: 0.192 borders: 0.034 filter: 0.039 fill: 0
[GPU] estimating 521x741x128 disparity using 521x741x8u tiles
timings: rectify: 0.016 disparity: 0.561 borders: 0.05 filter: 0.032 fill: 0
timings: rectify: 0.044 disparity: 0.373 borders: 0.006 filter: 0.014 fill: 0
[GPU] estimating 651x800x128 disparity using 651x800x8u tiles
timings: rectify: 0.01 disparity: 0.235 borders: 0.007 filter: 0.016 fill: 0
[GPU] estimating 761x728x128 disparity using 761x728x8u tiles
timings: rectify: 0.104 disparity: 2.452 borders: 0.055 filter: 0.068 fill: 0
timings: rectify: 0.276 disparity: 2.229 borders: 0.02 filter: 0.228 fill: 0
timings: rectify: 0.009 disparity: 0.243 borders: 0.006 filter: 0.017 fill: 0
[GPU] estimating 635x726x128 disparity using 635x726x8u tiles
[CPU] estimating 643x758x160 disparity using 643x758x8u tiles
[GPU] estimating 804x988x128 disparity using 804x988x8u tiles
timings: rectify: 0.009 disparity: 0.237 borders: 0.005 filter: 0.014 fill: 0
[GPU] estimating 369x766x128 disparity using 369x766x8u tiles
timings: rectify: 0.006 disparity: 0.134 borders: 0.003 filter: 0.009 fill: 0
[GPU] estimating 181x497x96 disparity using 181x497x8u tiles
timings: rectify: 0.005 disparity: 0.04 borders: 0.002 filter: 0.005 fill: 0
[GPU] estimating 345x785x128 disparity using 345x785x8u tiles
timings: rectify: 0.007 disparity: 0.13 borders: 0.003 filter: 0.01 fill: 0
[GPU] estimating 477x1019x160 disparity using 477x1019x8u tiles
timings: rectify: 0.009 disparity: 0.223 borders: 0.005 filter: 0.014 fill: 0
[GPU] estimating 770x1036x128 disparity using 770x1036x8u tiles
timings: rectify: 0.248 disparity: 2.23 borders: 0.024 filter: 0.154 fill: 0
timings: rectify: 0.011 disparity: 0.329 borders: 0.009 filter: 0.024 fill: 0
[GPU] estimating 1004x880x128 disparity using 1004x880x8u tiles
[GPU] estimating 544x1050x160 disparity using 544x1050x8u tiles
timings: rectify: 0.125 disparity: 1.61 borders: 0.021 filter: 0.031 fill: 0
timings: rectify: 0.012 disparity: 0.363 borders: 0.009 filter: 0.019 fill: 0
[GPU] estimating 613x963x128 disparity using 613x963x8u tiles
[CPU] estimating 366x736x128 disparity using 366x736x8u tiles
timings: rectify: 0.009 disparity: 0.259 borders: 0.007 filter: 0.019 fill: 0
[GPU] estimating 804x988x128 disparity using 804x988x8u tiles
timings: rectify: 0.044 disparity: 1.845 borders: 0.062 filter: 0.067 fill: 0
timings: rectify: 0.012 disparity: 0.329 borders: 0.009 filter: 0.024 fill: 0
[GPU] estimating 913x1189x128 disparity using 913x1189x8u tiles
timings: rectify: 0.038 disparity: 0.856 borders: 0.038 filter: 0.085 fill: 0
timings: rectify: 0.038 disparity: 1.343 borders: 0.007 filter: 0.021 fill: 0
timings: rectify: 0.018 disparity: 0.408 borders: 0.009 filter: 0.028 fill: 0
[CPU] estimating 583x935x128 disparity using 583x935x8u tiles
timings: rectify: 0.062 disparity: 1.489 borders: 0.031 filter: 0.039 fill: 0
[CPU] estimating 840x1021x160 disparity using 840x1021x8u tiles
timings: rectify: 0.074 disparity: 1.736 borders: 0.045 filter: 0.048 fill: 0
[CPU] estimating 999x890x128 disparity using 999x890x8u tiles
timings: rectify: 0.085 disparity: 1.667 borders: 0.071 filter: 0.067 fill: 0
[CPU] estimating 819x1046x128 disparity using 819x1046x8u tiles
timings: rectify: 0.084 disparity: 1.762 borders: 0.056 filter: 0.059 fill: 0
[CPU] estimating 599x946x128 disparity using 599x946x8u tiles
timings: rectify: 0.062 disparity: 1.134 borders: 0.03 filter: 0.032 fill: 0
[CPU] estimating 174x440x96 disparity using 174x440x8u tiles
timings: rectify: 0.007 disparity: 0.154 borders: 0.004 filter: 0.004 fill: 0
[CPU] estimating 551x957x128 disparity using 551x957x8u tiles
timings: rectify: 0.047 disparity: 1.07 borders: 0.028 filter: 0.031 fill: 0
[CPU] estimating 750x1069x128 disparity using 750x1069x8u tiles
timings: rectify: 0.081 disparity: 1.648 borders: 0.051 filter: 0.052 fill: 0
[CPU] estimating 960x1179x128 disparity using 960x1179x8u tiles
timings: rectify: 0.121 disparity: 2.041 borders: 0.061 filter: 0.088 fill: 0
[CPU] estimating 945x1180x128 disparity using 945x1180x8u tiles
timings: rectify: 0.114 disparity: 1.889 borders: 0.069 filter: 0.082 fill: 0
[CPU] estimating 749x1068x128 disparity using 749x1068x8u tiles
timings: rectify: 0.069 disparity: 1.575 borders: 0.049 filter: 0.055 fill: 0
[CPU] estimating 579x973x160 disparity using 579x973x8u tiles
timings: rectify: 0.054 disparity: 1.21 borders: 0.024 filter: 0.034 fill: 0

Depth reconstruction devices performance:
 - 6%    done by CPU
 - 21%    done by Intel(R) HD Graphics 530
 - 72%    done by Quadro M2000M
Total time: 2655.05 seconds

Generating dense cloud...
Generating dense point cloud...
selected 571 cameras in 6.176 sec
working volume: 0x0x0
tiles: 1x1x1
selected 571 cameras in 0.004 sec
preloading data... done in 6.366 sec
filtering depth maps... done in 1611.05 sec
preloading data... done in 33.297 sec
working volume: 0x0x0
tiles: 1x1x1
accumulating data...

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

Alexey Pasumansky

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Re: Continual crashing on build dense cloud
« Reply #8 on: December 16, 2018, 05:47:06 PM »
Hello Mr.Vain,

Are you observing the crashes in the latest PhotoScan version (1.4.4)? Also according to your log the application is running in ANGLE mode - do you have any issues using Quardo card as a primary rendering device?

I can recommend to install latest NVIDIA drivers for your graphic card and use it as primary device for OpenGL rendering (can be set in NVIDIA control panel):
https://www.nvidia.com/Download/driverResults.aspx/140131/en-us
Also please check the RAM modules using Memtest86 utility.

Also according to the log I see that working volume is set to 0x0x0 - is the bounding box properly positioned in this project?
Best regards,
Alexey Pasumansky,
Agisoft LLC

3DandVR

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Re: Continual crashing on build dense cloud
« Reply #9 on: December 20, 2018, 12:37:14 AM »
Quote
Now it seems to happen nearly constantly. I have enabled logging and it always happens at:
2018-12-12 14:17:58 filtering depth maps... .

I have the same Problem when "MSI Afterburner" is runnig! (GTX1080ti MSI Aero, Dual E5-2689v4, 256GB RAM)
When I end MSI Afterburner, filtering debth maps runs successfully with out any problem.