It happened several times now to find Pix4DMapper crashed whiles processing, without any warning(it happened most likely when it was generating the 3D Mesh). I’ve managed to pull out some reports from the Windows Event Viewer and one of them has the following message:
“Windows successfully diagnosed a low virtual memory condition. The following programs consumed the most virtual memory: pix4dmapper.exe (3740) consumed 122406658048 bytes, MsMpEng.exe (4496) consumed 1983782912 bytes, and Adobe Desktop Service.exe (6628) consumed 208801792 bytes.”
At this point, Pix4D crashes regardless.
Please see attached 1 logs from Windows Event Viewer with a more detailed version of the error.
This are the specs of the PC I have used for processing:
The first fix I would recommend is to slightly lower the hardware resources, as shown in the image below. The idea is to reduce the number of cores to ensure that Pix4D is not consuming more than your system is capable of sustaining.
The second advice is to close all running programs/processes on your computer. Unselect the Multiscale option in the Point Cloud generation. Reprocess Step 2. If it doesn’t work, reprocess it again with the Medium resolution for the 3D Textured Mesh.
In the meantime, update the NVIDIA drivers with Pix4Dmapper closed. Download the latest version from this link.
Afterwards, respond with an update attaching the Quality Report and the .log file.
I am writing you again to let you know the results from the last processing test. As i was mentioning before, I’ve used almost the same settings for this batch, the only difference was processing the 3D Mesh in High resolution. It crashed just like the previews times.
The only thing i can think on is to try to process again stage 2 having the Multiscale box unticked.
No matter the results, i will let you know!
Many thanks!
P.S: I cannot upload the .log file because it’s exceeding the upload limit
Yes, I am very curious whether unselecting the Multiscale option would have a positive effect on the 3D Textured Mesh processing in high resolution. Whatever the results are, please share the .log file. You can take advantage of our OneDrive if the file is too big.
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