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Topics - olihar

Pages: [1] 2
1
General / Photoscan not responding
« on: March 19, 2016, 01:16:34 PM »
I have ran into a pretty big problem, I get Not responding on Photoscan during matching points.

This happened first at around 2% and I decided to let it run and see if it wouldn't finish, as I saw CPU was processing and more RAM usage slowly added up. I let it run for over a week and CPU went down and RAM went down but it never seemed to finish.

So I force closed Photoscan restarted computer and started all over. Last night after it had been on for these 80+ hours it seemed to freeze again, CPU is still going full on and RAM is again slowly building up so it seems like it is running. I however suspect it will "finish" but never really finish as it seems to be frozen and not able to hand over the next part of the process.

So, more then 2 weeks have passed now without any results, I simply do not know what to do.

P.s. nothing else has been going on in this computer, apart from now I took a screenshot to share with you guys.

No I am not out of RAM plenty left still.

2
General / Force Markers to show Local Coordinate XYZ
« on: November 12, 2015, 12:37:03 AM »
I am really stuck here trying to solve a problem.

What I need to be able to do is I place markers in few places and I want Photoscan to tell me what the current Local Coordinate XYZ are for each point, as in what XYZ does Photoscan assign these points.

All I can see is Photoscan will always leave the fields empty and I can not find a way to ask it to show me these values.

This should be very easy and already available somewhere in the background.

I hope I am clear enough what I am asking about.

No, please do not comment with a statement why would you need this, as yes I do need this. I could maybe do a post about what I am doing if I manage to get this info.

This is extremely important and I needed this yesterday.

3
General / Max mem alloc size
« on: November 12, 2014, 12:51:37 PM »
Why is there max mem alloc 1536 MB for a card with 6144 MB global memory?

Quote
Using device: GeForce GTX TITAN Black, 15 compute units, 6144 MB global memory
  max work group size 1024
  max work item sizes [1024, 1024, 64]
  max mem alloc size 1536 MB


1536 / 8 = 192
6144 / 8 = 768

Or does Photoscan reconstruction chunks work with 1536 MB max?

4
Feature Requests / Single camera texturing using UV
« on: July 10, 2014, 04:58:00 PM »

It would be fantastic to be able to project single camera on user created UV, then one can project few times selected cameras and paint and fix the texture in Photoshop afterwards.

This does not seem to be an option right now.

5
General / Exporting 16bit Undistort Photos
« on: June 30, 2014, 09:02:19 PM »

If I import and work with 16bit images, exporting Undistort photos they export as 8 bit images, Using Tiff.

How can I export 16 bit undistorted photos?

6
Feature Requests / Import model in other formats
« on: December 06, 2012, 09:27:33 PM »

Why is it only possible to import in ply and obj, when you can export in many other formats? Would it not make sense to be able to export and import in the same formats?

7
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.

8
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.

9
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.

10
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.



11
General / Photoscan Crash
« on: May 10, 2012, 02:42:09 AM »

I just got a crash with Photoscan, not idea the reason.

Code: [Select]
ARB_texture_non_power_of_two: Yes
ARB_vertex_buffer_object: Yes
OpenGLMaxTextureSize: 16384
OpenGLRenderer: GeForce GTX 580/PCIe/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: OpenGL Vendor: NVIDIA Corporation
OpenGL Renderer: GeForce GTX 580/PCIe/SSE2
OpenGL Version: 4.2.0
Maximum Texture Size: 16384
Quad Buffered Stereo: not supported
ARB_vertex_buffer_object: supported
ARB_texture_non_power_of_two: supported
loaded project in 23.269 sec
Finished processing in 0.002 sec (exit code 1)
Finished processing in 1.409 sec (exit code 1)
tessellating mesh...done (1128474 -> 1128582 faces)
Mosaic size: 8242x11561
Estimating mosaic occupancy...
1 blocks used from 1x1 (100%)
Rendering mosaic...
rendering block
writing block
Finished processing in 6.207 sec (exit code 1)
Finished processing in 0 sec (exit code 1)
Finished processing in 1.149 sec (exit code 1)
tessellating mesh...done (1128474 -> 1128582 faces)
Mosaic size: 82425x115612
Estimating mosaic occupancy...
1 blocks used from 1x1 (100%)
Rendering mosaic...
rendering block
Error: aborted by user
Finished processing in 66.242 sec (exit code -1)
Finished processing in 0 sec (exit code 1)
Finished processing in 1.147 sec (exit code 1)
tessellating mesh...done (1128474 -> 1128582 faces)
Mosaic size: 82425x115612
Estimating mosaic occupancy...
1 blocks used from 1x1 (100%)
Rendering mosaic...
rendering block
writing block
Finished processing in 1454.17 sec (exit code 1)
Finished processing in 0 sec (exit code 1)
Finished processing in 1.154 sec (exit code 1)
tessellating mesh...done (1128474 -> 1128582 faces)
Mosaic size: 16485x23122
Estimating mosaic occupancy...
1 blocks used from 1x1 (100%)
Rendering mosaic...
rendering block
writing block
Finished processing in 14.751 sec (exit code 1)
initializing...
selected 8 cameras from 8 in 0.023 sec
Loading photos...
Reconstructing depth...
Using device: GeForce GTX 580, 16 compute units, 1535 MB global memory
  max work group size 1024
  max work item sizes [1024, 1024, 64]
  max mem alloc size 383 MB
  max workgroup size c1: 1024 c3: 1024 zero: 1024 hamming: 1024 filter: 1024 box: 1024
  max workgroup size zero: 1024 costs: 1024 b1: 1024 bn: 1024 wta: 1024 transpose: 1024
estimating 1280x8655x128 disparity using 256x255x128 tiles, offset 0
estimating 3488x8658x128 disparity using 250x255x128 tiles, offset 0
timings: rectify: 0.444 disparity: 10.119 borders: 0.229 filter: 0.225 fill: 0
estimating 3488x8672x96 disparity using 250x256x96 tiles, offset 0
timings: rectify: 0.978 disparity: 19.398 borders: 0.436 filter: 0.79 fill: 0
estimating 1248x8654x160 disparity using 250x255x160 tiles, offset 0
timings: rectify: 0.326 disparity: 8.436 borders: 0.122 filter: 0.299 fill: 0
estimating 1248x8656x160 disparity using 250x255x160 tiles, offset 0
timings: rectify: 0.472 disparity: 24.108 borders: 0.391 filter: 0.645 fill: 0
estimating 2896x5618x128 disparity using 264x256x128 tiles, offset 0
timings: rectify: 0.291 disparity: 8.909 borders: 0.147 filter: 0.298 fill: 0
estimating 3488x8657x128 disparity using 250x255x128 tiles, offset 0
timings: rectify: 0.233 disparity: 15.296 borders: 0.281 filter: 0.342 fill: 0
estimating 3952x8353x128 disparity using 264x254x128 tiles, offset 0
timings: rectify: 0.756 disparity: 19.425 borders: 0.378 filter: 0.674 fill: 0
estimating 3456x8657x128 disparity using 247x255x128 tiles, offset 0
timings: rectify: 0.878 disparity: 19.462 borders: 0.541 filter: 0.667 fill: 0
estimating 2896x5614x128 disparity using 264x256x128 tiles, offset 0
timings: rectify: 0.434 disparity: 31.469 borders: 0.259 filter: 0.593 fill: 0
estimating 3536x8657x96 disparity using 253x255x96 tiles, offset 0
timings: rectify: 0.468 disparity: 10.088 borders: 0.194 filter: 0.437 fill: 0
estimating 3920x8256x128 disparity using 262x258x128 tiles, offset 0
timings: rectify: 0.471 disparity: 24.387 borders: 0.417 filter: 0.605 fill: 0
estimating 3472x8664x96 disparity using 248x255x96 tiles, offset 0
timings: rectify: 0.636 disparity: 20.342 borders: 0.255 filter: 0.64 fill: 0
estimating 2928x5655x128 disparity using 267x258x128 tiles, offset 0
timings: rectify: 0.388 disparity: 10.49 borders: 0.228 filter: 0.416 fill: 0
timings: rectify: 0.467 disparity: 22.251 borders: 0.755 filter: 0.736 fill: 0
estimating 3536x8656x96 disparity using 253x255x96 tiles, offset 0
estimating 1280x8655x128 disparity using 256x255x128 tiles, offset 0
timings: rectify: 0.242 disparity: 9.911 borders: 0.2 filter: 0.224 fill: 0
estimating 1248x8655x192 disparity using 250x255x192 tiles, offset 0
timings: rectify: 0.917 disparity: 17.577 borders: 0.375 filter: 0.865 fill: 0
estimating 1280x8677x96 disparity using 256x256x96 tiles, offset 0
timings: rectify: 0.293 disparity: 6.356 borders: 0.14 filter: 0.261 fill: 0
estimating 3488x8660x128 disparity using 250x255x128 tiles, offset 0
timings: rectify: 0.166 disparity: 18.199 borders: 0.185 filter: 0.209 fill: 0
estimating 3456x8656x128 disparity using 247x255x128 tiles, offset 0
timings: rectify: 0.937 disparity: 19.576 borders: 0.361 filter: 0.738 fill: 0
estimating 3488x8657x128 disparity using 250x255x128 tiles, offset 0
timings: rectify: 0.461 disparity: 28.322 borders: 0.337 filter: 0.528 fill: 0
estimating 2912x5653x128 disparity using 265x257x128 tiles, offset 0
timings: rectify: 0.903 disparity: 19.52 borders: 0.556 filter: 0.809 fill: 0
estimating 1248x8656x192 disparity using 250x255x192 tiles, offset 0
timings: rectify: 0.199 disparity: 15.841 borders: 0.287 filter: 0.312 fill: 0
estimating 3936x8351x128 disparity using 263x254x128 tiles, offset 0
timings: rectify: 0.314 disparity: 9.872 borders: 0.189 filter: 0.306 fill: 0
estimating 1280x8677x96 disparity using 256x256x96 tiles, offset 0
timings: rectify: 0.3 disparity: 6.282 borders: 0.137 filter: 0.307 fill: 0
estimating 3472x8663x96 disparity using 248x255x96 tiles, offset 0
timings: rectify: 0.426 disparity: 31.791 borders: 0.256 filter: 0.588 fill: 0
timings: rectify: 0.873 disparity: 17.292 borders: 0.509 filter: 0.636 fill: 0
estimating 3488x8673x96 disparity using 250x256x96 tiles, offset 0
timings: rectify: 0.732 disparity: 16.006 borders: 0.396 filter: 0.716 fill: 0
finished depth reconstruction in 279.283 seconds
Device 1 performance: 198.8 million samples/sec (CPU)
Device 2 performance: 293.863 million samples/sec (GeForce GTX 580)
Total performance: 492.663 million samples/sec
Generating mesh...
Grid size: 2321 x 2321
Tree depth: 12
48681666 points extracted
samples: 48681666
setting sample weights
adding points
extracting mesh
33433029 faces extracted
filtering mesh (33433029 -> 33433029)
Finished processing in 634.538 sec (exit code 1)
Finished processing in 0 sec (exit code 1)
initializing...
selected 8 cameras from 8 in 0.072 sec
Loading photos...
Reconstructing depth...
Using device: GeForce GTX 580, 16 compute units, 1535 MB global memory
  max work group size 1024
  max work item sizes [1024, 1024, 64]
  max mem alloc size 383 MB
  max workgroup size c1: 1024 c3: 1024 zero: 1024 hamming: 1024 filter: 1024 box: 1024
  max workgroup size zero: 1024 costs: 1024 b1: 1024 bn: 1024 wta: 1024 transpose: 1024
estimating 2496x17310x160 disparity using 250x255x160 tiles, offset 0
estimating 6928x17316x160 disparity using 257x255x160 tiles, offset 0
timings: rectify: 1.48 disparity: 48.366 borders: 0.518 filter: 0.936 fill: 0
estimating 6960x17345x128 disparity using 258x256x128 tiles, offset 0
timings: rectify: 3.636 disparity: 95.573 borders: 1.85 filter: 3.698 fill: 0
estimating 2480x17309x256 disparity using 248x255x256 tiles, offset 0
timings: rectify: 1.353 disparity: 51.166 borders: 0.893 filter: 1.311 fill: 0
estimating 6928x17321x160 disparity using 257x255x160 tiles, offset 0
timings: rectify: 2.2 disparity: 118.013 borders: 2.029 filter: 3.392 fill: 0
estimating 2480x17312x256 disparity using 248x255x256 tiles, offset 0
timings: rectify: 0.777 disparity: 69.229 borders: 0.52 filter: 0.848 fill: 0
estimating 6928x17314x160 disparity using 257x255x160 tiles, offset 0
timings: rectify: 3.012 disparity: 97.523 borders: 1.935 filter: 3.55 fill: 0
estimating 6928x17314x160 disparity using 257x255x160 tiles, offset 0
timings: rectify: 4.275 disparity: 95.944 borders: 2.309 filter: 3.206 fill: 0
estimating 2464x17313x320 disparity using 247x255x320 tiles, offset 0
timings: rectify: 2.258 disparity: 142.542 borders: 1.302 filter: 2.303 fill: 0
estimating 6864x17314x160 disparity using 255x255x160 tiles, offset 0
timings: rectify: 1.217 disparity: 68.954 borders: 0.778 filter: 1.163 fill: 0
estimating 5776x11237x192 disparity using 252x256x192 tiles, offset 0
timings: rectify: 1.469 disparity: 60.768 borders: 1.116 filter: 2.134 fill: 0
estimating 7824x16706x160 disparity using 253x258x160 tiles, offset 0
timings: rectify: 2.16 disparity: 142.643 borders: 1.3 filter: 2.234 fill: 0
estimating 5776x11229x192 disparity using 252x256x192 tiles, offset 0
timings: rectify: 0.785 disparity: 82.568 borders: 0.672 filter: 1.294 fill: 0
timings: rectify: 3.034 disparity: 104.565 borders: 1.231 filter: 2.314 fill: 0
estimating 6992x17314x96 disparity using 259x255x96 tiles, offset 0
estimating 7776x16513x160 disparity using 260x255x160 tiles, offset 0
timings: rectify: 3.421 disparity: 70.538 borders: 2.236 filter: 3.253 fill: 0
estimating 6912x17328x128 disparity using 256x255x128 tiles, offset 0
timings: rectify: 1.74 disparity: 145.929 borders: 0.854 filter: 1.952 fill: 0
estimating 5824x11310x192 disparity using 254x258x192 tiles, offset 0
timings: rectify: 3.572 disparity: 78.644 borders: 2.218 filter: 3.579 fill: 0
estimating 2496x17311x160 disparity using 250x255x160 tiles, offset 0
timings: rectify: 1.399 disparity: 34.85 borders: 0.894 filter: 1.385 fill: 0
estimating 2464x17310x320 disparity using 247x255x320 tiles, offset 0
timings: rectify: 0.798 disparity: 103.144 borders: 0.776 filter: 1.314 fill: 0
estimating 6992x17312x96 disparity using 259x255x96 tiles, offset 0
timings: rectify: 1.184 disparity: 69.271 borders: 0.817 filter: 1.249 fill: 0
estimating 6848x17312x160 disparity using 254x255x160 tiles, offset 0
timings: rectify: 2.28 disparity: 90.262 borders: 1.33 filter: 2.233 fill: 0
estimating 2528x17354x128 disparity using 253x256x128 tiles, offset 0
timings: rectify: 0.697 disparity: 39.758 borders: 0.498 filter: 0.914 fill: 0
timings: rectify: 3.624 disparity: 93.497 borders: 1.98 filter: 3.113 fill: 0
estimating 2528x17355x128 disparity using 253x256x128 tiles, offset 0
estimating 5808x11306x192 disparity using 253x257x192 tiles, offset 0
timings: rectify: 1.51 disparity: 41.4 borders: 0.541 filter: 0.852 fill: 0
estimating 6912x17327x128 disparity using 256x255x128 tiles, offset 0
timings: rectify: 1.279 disparity: 60.363 borders: 1.302 filter: 2.059 fill: 0
estimating 7824x16702x160 disparity using 253x257x160 tiles, offset 0
timings: rectify: 2.177 disparity: 112.392 borders: 1.328 filter: 2.284 fill: 0
estimating 6960x17346x128 disparity using 258x256x128 tiles, offset 0
timings: rectify: 3.241 disparity: 103.193 borders: 1.029 filter: 2.524 fill: 0
timings: rectify: 2.213 disparity: 116.088 borders: 1.228 filter: 2.649 fill: 0
finished depth reconstruction in 1379.28 seconds
Device 1 performance: 211.268 million samples/sec (CPU)
Device 2 performance: 307.291 million samples/sec (GeForce GTX 580)
Total performance: 518.559 million samples/sec
Generating mesh...
Grid size: 4643 x 4643
Tree depth: 13
188291105 points extracted
samples: 188291105
setting sample weights
adding points
extracting mesh
131041185 faces extracted
filtering mesh

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



12
General / Creation of DEM
« on: May 09, 2012, 08:07:30 PM »
Ok so I am trying to understand the DEM export better.

When I export DEM does it recompute the model, does it not use the 3D model already reconstructed.

Reason I am asking I am doing some tests and it takes around 45GB of RAM to export a fairly small area, it is like it is reprocessing the model.

Edit: So if I put lower value then default given value it will do this heavy process.

13
General / omega phi kappa to Yaw Pitch Roll
« on: May 07, 2012, 06:30:06 PM »
Hey gang

If I have coordinates for each image along with omega phi kappa How would I go by into converting them into Yaw Pitch Roll like Photoscan supports?

And what order is it in.

Omega > Roll
Phi > Pitch
Kappa > Yaw

Or do I have it wrong?

Can I simply insert the omega phi kappa values into Photoscan maybe without anything else.

14
General / VBO support
« on: May 06, 2012, 05:46:58 AM »
So what is this VBO support, there is no info when moused over, nor is there anything in the manuals about it.

Google says Vertex Buffer Object in relations to OpenGL.

Does it force the graphics card to keep more in memory, or what is it all about?

15
General / ply export
« on: April 30, 2012, 04:03:59 AM »
I am wondering is it possible to export only the points with color in for example ply or just raw txt format from Photoscan, I can only export to ply including faces. As well the file is in binary, so I have to open it in meshlab for example and save as ASCII, edit in text editor and then I have a clean vertex only file. However problem is what if you have million or even billions of points, Meshlab has a hard time opening it.

Therefore I would love an output that only outputs like so. for example a ply file. x, y, z, normals and color.

property float x
property float y
property float z
property float nx
property float ny
property float nz
property uchar red
property uchar green
property uchar blue
property uchar alpha


alpha is of course extra and does not have to be there.

I cant imagine this being hard to implement, or maybe I am missing something and it is already there.

I am thinking this because it can often be easier to visualize billions of points then 100 million faces.

P.s. I am actually wondering about the reconstruction process as well, when the GPU step has finished does that not indeed return a simple point cloud data? could then the last steps be skipped if one would only be after the point cloud data, or... that data could be processed a little later, to brake down the reconstruction steps.

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