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Messages - eltama

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16
General / Re: Agisoft Metashape 1.6.0 pre-release
« on: January 10, 2020, 11:13:03 PM »
Quote from: eltama on January 05, 2020, 10:19:27 PM
Quote from: Alexey Pasumansky on January 03, 2020, 10:32:13 PM
Hello eltama,

Can you please confirm that the same issue is observed in the release version 9925?

Hello Alexey

of course, I make new alignement in 9925 in highest mode without error, now I'm waiting for build mesh from deph map (no resume) in highest mode too, images are 61MP.

Hello Alexey

 I did new alignement on highest mode on 9925, build mesh in ultra high is fine but after build deph map there was an error:


2019-12-31 23:58:39 BuildModel: quality = High, depth filtering = Mild, source data = Depth maps, surface type = Arbitrary, face count = High, volumetric masking = 0, OOC version, interpolation = Enabled, vertex colors = 1
2019-12-31 23:58:40 Generating depth maps...
2019-12-31 23:58:40 Initializing...
2019-12-31 23:58:40 sorting point cloud... done in 0.044 sec
2019-12-31 23:58:40 processing matches... done in 1.525 sec
2019-12-31 23:58:41 initializing...
2019-12-31 23:58:53 selected 9819 cameras from 10272 in 12.149 sec
2019-12-31 23:58:54 groups: 98 98 98 98 98 98 98 98 98 98 98 99 98 98 98 98 98 99 98 98 98 98 99 98 99 98 98 98 98 98 99 98 98 98 98 98 99 98 98 98 98 98 99 98 98 98 98 99 98 99 98 98 98 98 98 99 98 98 98 98 98 99 98 98 98 98 98 99 98 98 98 98 99 98 99 98 98 98 98 98 99 98 98 98 98 98 99 98 98 98 98 98 99 98 98 98 98 99 98 99
2019-12-31 23:58:54 29050 of 9819 used (295.855%)
2019-12-31 23:58:54 scheduled 100 depth map groups
2019-12-31 23:58:54 saved depth map partition in 0.297 sec
2019-12-31 23:59:02 loaded depth map partition in 7.641 sec
2019-12-31 23:59:02 Initializing...
2019-12-31 23:59:02 Found 3 GPUs in 0.029 sec (CUDA: 0.028 sec, OpenCL: 0.001 sec)
2019-12-31 23:59:10 Using device: GeForce RTX 2070 SUPER, 40 compute units, free memory: 6711/8192 MB, compute capability 7.5
2019-12-31 23:59:10   driver/runtime CUDA: 10020/8000
2019-12-31 23:59:10   max work group size 1024
2019-12-31 23:59:10   max work item sizes [1024, 1024, 64]
2019-12-31 23:59:10   got device properties in 0.007 sec, free memory in 8.736 sec
2019-12-31 23:59:11 Using device: GeForce RTX 2070 SUPER, 40 compute units, free memory: 6711/8192 MB, compute capability 7.5
2019-12-31 23:59:11   driver/runtime CUDA: 10020/8000
2019-12-31 23:59:11   max work group size 1024
2019-12-31 23:59:11   max work item sizes [1024, 1024, 64]
2019-12-31 23:59:11 Using device: GeForce RTX 2080 Ti, 68 compute units, free memory: 9133/11264 MB, compute capability 7.5
2019-12-31 23:59:11   driver/runtime CUDA: 10020/8000
2019-12-31 23:59:11   max work group size 1024
2019-12-31 23:59:11   max work item sizes [1024, 1024, 64]
2019-12-31 23:59:11 Using CUDA device 'GeForce RTX 2070 SUPER' in concurrent. (2 times)
2019-12-31 23:59:11 Using CUDA device 'GeForce RTX 2070 SUPER' in concurrent. (2 times)
2019-12-31 23:59:11 Using CUDA device 'GeForce RTX 2080 Ti' in concurrent. (2 times)
2019-12-31 23:59:12 Loading photos...
2020-01-01 00:00:42 loaded photos in 89.377 seconds
2020-01-01 00:00:42 Generating depth maps...
2020-01-01 00:00:43 [GPU] estimating 3754x3093x1056 disparity using 1252x1088x8u tiles
2020-01-01 00:00:43 [GPU] estimating 3415x3255x864 disparity using 1139x1088x8u tiles
...
2020-01-09 09:35:26 Depth reconstruction devices performance:
2020-01-09 09:35:26  - 49%    done by GeForce RTX 2080 Ti
2020-01-09 09:35:26  - 28%    done by GeForce RTX 2070 SUPER
2020-01-09 09:35:26  - 23%    done by GeForce RTX 2070 SUPER
2020-01-09 09:35:26 Total time: 4930.66 seconds
2020-01-09 09:35:26
2020-01-09 09:35:26 98 depth maps generated in 5007.46 sec
2020-01-09 09:35:30 saved depth maps block in 3.577 sec
2020-01-09 09:48:04 loaded depth map partition in 750.023 sec
2020-01-09 09:48:04 Building model...
2020-01-09 09:48:04 Compression level: 1
2020-01-09 09:48:04 Preparing depth maps...
2020-01-09 09:48:04 scheduled 100 depth map groups (9772 cameras)
2020-01-09 09:48:04 saved camera partition in 0.005 sec
2020-01-09 09:48:04 loaded camera partition in 0.002 sec
2020-01-09 09:55:11 saved group #1/100: done in 426.708 s, 98 cameras, 14063 MB data, 207.102 KB registry
2020-01-09 09:55:11 loaded camera partition in 0.001 sec
2020-01-09 10:02:26 saved group #2/100: done in 434.326 s, 98 cameras, 14561.7 MB data, 207.102 KB registry
2020-01-09 10:02:26 loaded camera partition in 0.001 sec
2020-01-09 10:09:10 saved group #3/100: done in 404.787 s, 98 cameras, 4404.62 MB data, 207.102 KB registry
2020-01-09 10:09:10 loaded camera partition in 0.001 sec
2020-01-09 10:16:01 saved group #4/100: done in 410.263 s, 98 cameras, 6907.82 MB data, 207.102 KB registry
2020-01-09 10:16:01 loaded camera partition in 0.002 sec
2020-01-09 10:23:04 saved group #5/100: done in 423.715 s, 98 cameras, 7168.78 MB data, 207.102 KB registry
2020-01-09 10:23:04 loaded camera partition in 0.001 sec
2020-01-09 10:30:12 saved group #6/100: done in 427.896 s, 98 cameras, 10572.1 MB data, 207.102 KB registry
2020-01-09 10:30:12 loaded camera partition in 0.001 sec
2020-01-09 10:37:17 saved group #7/100: done in 424.942 s, 98 cameras, 9835.96 MB data, 207.102 KB registry
2020-01-09 10:37:17 loaded camera partition in 0.001 sec
2020-01-09 10:44:34 saved group #8/100: done in 436.523 s, 98 cameras, 12499.9 MB data, 207.102 KB registry
2020-01-09 10:44:34 loaded camera partition in 0.001 sec

depth maps done

2020-01-09 09:35:26 98 depth maps generated in 5007.46 sec
2020-01-09 09:35:30 saved depth maps block in 3.577 sec
2020-01-09 09:48:04 loaded depth map partition in 750.023 sec
2020-01-09 09:48:04 Building model...
2020-01-09 09:48:04 Compression level: 1
2020-01-09 09:48:04 Preparing depth maps...
2020-01-09 09:48:04 scheduled 100 depth map groups (9772 cameras)
2020-01-09 09:48:04 saved camera partition in 0.005 sec
2020-01-09 09:48:04 loaded camera partition in 0.002 sec
2020-01-09 09:55:11 saved group #1/100: done in 426.708 s, 98 cameras, 14063 MB data, 207.102 KB registry
2020-01-09 09:55:11 loaded camera partition in 0.001 sec
...
2020-01-09 19:29:15 saved group #82/100: done in 422.132 s, 98 cameras, 5447.74 MB data, 207.102 KB registry
2020-01-09 19:29:15 loaded camera partition in 0.001 sec
2020-01-09 19:36:19 saved group #83/100: done in 424.036 s, 98 cameras, 6125.03 MB data, 207.102 KB registry
2020-01-09 19:36:19 loaded camera partition in 0.001 sec
2020-01-09 19:43:32 saved group #84/100: done in 432.451 s, 98 cameras, 9505.05 MB data, 207.102 KB registry
2020-01-09 19:43:32 loaded camera partition in 0.001 sec
2020-01-09 19:48:47 Peak memory used: 69.97 GB at 2020-01-09 11:51:13
2020-01-09 19:48:47 deleting all temporary files...
2020-01-09 19:49:01 done in 14.298 s
2020-01-09 19:49:01 Finished processing in 473553 sec (exit code 0)
2020-01-09 19:49:01 Error: Too small depth map!

Now I try to generate deph maps on Higt setting.

I attach the task manager data, In a ultra high deph map generation it seems a low GPU work due to a low vram usage on  rtx 2070 s (8 GB) only ~ 2.5 GB compared to on 2080 ti (11GB) ~ 5 GB.

2020-01-09 09:35:26  - 49%    done by GeForce RTX 2080 Ti
2020-01-09 09:35:26  - 28%    done by GeForce RTX 2070 SUPER
2020-01-09 09:35:26  - 23%    done by GeForce RTX 2070 SUPER

in a high deph map generation I noticed a full use of GPU computing and more VRAM usage into the weaker GPU

I haven't the log but it was ~ like this:

  - 40%    done by GeForce RTX 2080 Ti
  - 32%    done by GeForce RTX 2070 SUPER
  - 28%    done by GeForce RTX 2070 SUPER

Best regards

Elmar




17
General / Re: Agisoft Metashape 1.6.0 pre-release
« on: January 05, 2020, 10:19:27 PM »
Quote from: Alexey Pasumansky on January 03, 2020, 10:32:13 PM
Hello eltama,

Can you please confirm that the same issue is observed in the release version 9925?

Hello Alexey

of course, I make new alignement in 9925 in highest mode without error, now I'm waiting for build mesh from deph map (no resume) in highest mode too, images are 61MP.
 

18
General / Re: Agisoft Metashape 1.6.0 pre-release
« on: January 03, 2020, 02:45:47 AM »
Quote from: eltama on January 01, 2020, 02:46:24 AM
I checked reuse deph map (ultra setting) and yes I have errors on both steps, now I had installed the latest version 9925, and build mesh without reuse depth maps with high quality.

I have some duplicated images, now deleted, runs as admin.
I noticed a strange behavior, even if I am admin, I can’t disable read only mode on files.

Best regards

Hello Alexey
I had this error, build mesh from a new deph map (didn't  check reuse map) my setting: quality high, face count high:
...
2020-01-02 23:31:24 finished treetop part #1013/1205: 433 treetop nodes, 73.5762 KB registry
2020-01-02 23:31:24 Creating treetop for part #1014/1205...
2020-01-02 23:31:31 finished treetop part #1014/1205: 433 treetop nodes, 73.5762 KB registry
2020-01-02 23:31:31 Creating treetop for part #1015/1205...
2020-01-02 23:31:39 Peak memory used: 17.92 GB at 2020-01-02 06:40:07
2020-01-02 23:31:39 deleting all temporary files...
2020-01-02 23:32:01 done in 22.855 s
2020-01-02 23:32:01 Finished processing in 171202 sec (exit code 0)
2020-01-02 23:32:01 Error: Assertion 239115764 failed at line 69!



19
General / Re: Agisoft Metashape 1.6.0 pre-release
« on: January 01, 2020, 02:46:24 AM »
I checked reuse deph map (ultra setting) and yes I have errors on both steps, now I had installed the latest version 9925, and build mesh without reuse depth maps with high quality.

I have some duplicated images, now deleted, runs as admin.
I noticed a strange behavior, even if I am admin, I can’t disable read only mode on files.

Best regards

20
General / Re: Agisoft Metashape 1.6.0 pre-release
« on: December 31, 2019, 10:51:38 PM »
Hello Alexey,

Aligned photos with 9852 version
Build mesh - deph map 9862 version

I had these errors:
2019-12-24 13:18:52 checking for missing images...Checking for missing images...
2019-12-24 13:18:54  done in 2.637 sec
2019-12-24 13:18:54 Finished processing in 2.637 sec (exit code 1)
2019-12-24 13:18:54 BuildModel: quality = Ultra high, depth filtering = Mild, source data = Depth maps, surface type = Arbitrary, face count = High, volumetric masking = 0, OOC version, interpolation = Enabled, vertex colors = 1
2019-12-24 13:18:54 Generating depth maps...
2019-12-24 13:18:54 Initializing...
2019-12-24 13:18:54 sorting point cloud... done in 1.812 sec
2019-12-24 13:18:56 processing matches... done in 1.642 sec
2019-12-24 13:18:58 initializing...
2019-12-24 13:19:16 selected 9902 cameras from 10354 in 17.673 sec
2019-12-24 13:19:16 groups: 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 100 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 99 100
2019-12-24 13:19:16 29013 of 9902 used (293.001%)
2019-12-24 13:19:16 scheduled 100 depth map groups
2019-12-24 13:19:16 saved depth map partition in 0.303 sec
2019-12-24 13:19:28 loaded depth map partition in 12.22 sec
2019-12-24 13:19:28 Initializing...
2019-12-24 13:19:28 Found 3 GPUs in 0.002 sec (CUDA: 0.001 sec, OpenCL: 0.001 sec)
2019-12-24 13:19:29 Using device: GeForce RTX 2070 SUPER, 40 compute units, free memory: 6711/8192 MB, compute capability 7.5
2019-12-24 13:19:29   driver/runtime CUDA: 10020/8000
2019-12-24 13:19:29   max work group size 1024
2019-12-24 13:19:29   max work item sizes [1024, 1024, 64]
2019-12-24 13:19:29 Using device: GeForce RTX 2070 SUPER, 40 compute units, free memory: 6711/8192 MB, compute capability 7.5
2019-12-24 13:19:29   driver/runtime CUDA: 10020/8000
2019-12-24 13:19:29   max work group size 1024
2019-12-24 13:19:29   max work item sizes [1024, 1024, 64]
2019-12-24 13:19:30 Using device: GeForce RTX 2080 Ti, 68 compute units, free memory: 9133/11264 MB, compute capability 7.5
2019-12-24 13:19:30   driver/runtime CUDA: 10020/8000
2019-12-24 13:19:30   max work group size 1024
2019-12-24 13:19:30   max work item sizes [1024, 1024, 64]
2019-12-24 13:19:30 Using CUDA device 'GeForce RTX 2080 Ti' in concurrent. (2 times)
2019-12-24 13:19:33 Loading photos...
2019-12-24 13:21:51 loaded photos in 138.19 seconds
2019-12-24 13:21:51 Generating depth maps...
2019-12-24 13:21:52 [GPU] estimating 9188x5090x1024 disparity using 1532x1280x8u tiles
2019-12-24 13:21:52 [GPU] estimating 8058x4928x2624 disparity using 1343x1280x8u tiles
...
2019-12-30 08:48:39 Error: Unsupported depth image
...
2019-12-30 15:04:51 Error: Null image
...
2019-12-30 15:16:20 Error: Too small depth map!
...
2019-12-31 19:56:42 Finished processing in 90728.3 sec (exit code 0)
2019-12-31 19:56:42 Error: Broken data order in file D:/10445 clean.files/0/0/model.tmp/cubes/1/12.data at index=354263496


But in the meantime

Thanks to devolp this beautiful software!
Happy new Year !!!

21
General / Re: Agisoft Metashape 1.6.0 pre-release
« on: November 12, 2019, 11:57:20 AM »
Hi cbnewham
Try to update your nvidia GPU with latest driver, my config show 10020/8000

2019-11-11 14:48:45   driver/runtime CUDA: 10000/8000

22
Python and Java API / Re: Split in chunks : reuse depth map
« on: August 11, 2019, 02:28:37 AM »
I did align photos again, it doesn't work  :-\

23
Python and Java API / Re: Split in chunks : reuse depth map
« on: August 11, 2019, 12:26:25 AM »
Hello Alexy
Thanks for quick reply, unfortunately it doesn't work, or it does but with a very low quality when I run the latest script.
to avoid some mistakes, I'll make again align photos, maybe the problem is due to a missing path for depth_maps.
I'll update you as soon as possible.



24
Python and Java API / Re: Split in chunks : reuse depth map
« on: August 09, 2019, 07:46:16 PM »


Quote from: nicokalo on April 07, 2019, 09:28:57 PM
Thanks Alexey,

I was wondering that it would be something like that but it seems that the depth map was not reused.

So i have a big chunk with a huge Tie point (3 000 photos).
I tried to build the dense cloud on high, it went well for the depth map then it stopped (not enough ram).

So I saved the file to keep the depth map (I can see it on the photos).

When I run the script, the first chunk starts by making a new depth map, and the pictures are shown as "no depth".

I might be doing something wrong but my guess is that the reuse depth did not work properly.

I all,
Same problem here, on Metashape 1.5.3,  I make a huge Tie point :o (30 000 photos 42Mb)

please fix that script

Thanks!
Best regards

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