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1

General / Re: Inquiry Regarding GPU Underutilization and Processing Time During Dense Cloud an

« on: November 04, 2025, 12:00:56 PM »

I have three questions I would like to ask:
1.   What exactly does "create several local instances of running Metashapes" mean in the context of Metashape, and how can it be set up and utilized in practice?

2.   Regarding the following settings and optimizations (①–③), could you please clarify which processing stages in Metashape ([Alignment], [Dense Cloud], [Mesh Reconstruction]) each contributes to most significantly?
① Running several local instances in parallel (executing several Metashape processes on a single PC)
② Increasing the value of BuildDepthMaps/max_gpu_multiplier
③ Setting main/gpu_enable_opencl to true and main/gpu_enable_cuda to false

3.   I came across "Increasing the value of main/refine_max_gpu_multiplier" through my own research. If you are familiar with this parameter, could you please explain which processing phase it affects and the scope of its impact, like question 2?

For reference, I am including the following forum threads:
https://www.agisoft.com/forum/index.php?topic=17015.0 ,
https://www.agisoft.com/forum/index.php?topic=12458.0

I would greatly appreciate your detailed answers to each item.
Thank you very much for your assistance.

2

General / Inquiry Regarding GPU Underutilization and Processing Time During Dense Cloud an

« on: October 21, 2025, 01:48:36 PM »

We are currently generating a 3D model using Agisoft Metashape Professional with approximately 1,800 drone images taken at a city hall construction site. However, we have observed that the GPU (NVIDIA GeForce RTX 5090) does not appear to be fully utilized during each processing stage.
Below is a summary of the behavior observed during each stage:
   • Sparse Point Cloud / Alignment
Processing Time: Approx. 40 minutes
GPU Usage: Around 12GB at the start, then stabilizing around 8GB
CPU Usage: Less than 10% at the start, intermittently reaching 100%
   • Dense Cloud Generation
Processing Time: Approx. 45 minutes
GPU Usage: Steady around 9GB
CPU Usage: Nearly constant at 100%
   • Mesh Reconstruction
Processing Time: Approx. 30 minutes
GPU Usage: Steady around 9GB
CPU Usage: Around 40%, intermittently reaching 100%
As shown above, CPU load is consistently high, and especially during the dense cloud generation stage, the GPU seems to be underutilized.
Our goal with this setup is to efficiently generate 3D models from large-scale image datasets, and we would like to maximize GPU usage to reduce processing time.
We would greatly appreciate your guidance on the following points:
   1. What are the main reasons why the GPU may not be fully utilized during each stage (e.g., settings, architecture, limitations)?
   2. What are the recommended settings or optimization procedures to fully leverage the GPU (RTX 5090, 32GB VRAM)?
   3. What are effective methods to identify whether the bottleneck lies in the CPU, memory, or disk I/O?
System Specifications:
   • Motherboard: ASUS PRO WS W790-ACE
   • CPU: Intel Xeon W5-2565X (18 cores / 36 threads / 3.20GHz, up to 4.8GHz with Turbo Boost)
   • Memory: 256GB DDR5-5600 REG ECC (64GB × 4)
   • GPU: NVIDIA GeForce RTX 5090 (VRAM 32GB)
   • Storage: 2TB SSD (M.2 NVMe Gen4) + 4TB HDD (S-ATA)
   • OS: Microsoft Windows 11 Professional 64bit
   • Input Data: 1,800 images (16GB) of structures at a city hall construction site
   • Software Version: Agisoft Metashape Professional Version 2.2.2 build 21069 (64 bit)
Processing Settings:
   • Sparse Point Cloud / Alignment: Medium Quality
   • Dense Cloud Generation: Medium Quality
   • Mesh Reconstruction: Default parameters for "Build Texture"