Cannot see any output of DensifyPointCloud

[tungts1101]

Describe the bug
I cannot see any output, such as scene_dense.mvs and .ply file from DensifyPointCloud command

To Reproduce
Steps to reproduce the behavior:

1. I successfully build the Docker image for OpenMVS
2. I successfully run the InterfaceCOLMAP as I can see the scene.mvs
3. I run DensifyPointCloud with the scene.mvs as input

Expected behavior
As far as I know, at this step, I will obtain a scene_dense.mvs and .ply file for later processing, however I see nothing showing up.

Screenshots
Here is the full log that is on my screen

I have no name!@a48a6b7b76a2:/work$ /usr/local/bin/OpenMVS/DensifyPointCloud   -i /work/out/scene.mvs   -o /work/out/scene_dense.mvs --archive-type -1         
16:32:11 [App     ] OpenMVS x64 v2.3.0
16:32:11 [App     ] Build date: Sep 18 2025, 15:23:40
16:32:11 [App     ] CPU: Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz (8 cores)
16:32:11 [App     ] RAM: 62.73GB Physical Memory 2.00GB Virtual Memory
16:32:11 [App     ] OS: Linux 5.15.0-153-generic (x86_64)
16:32:11 [App     ] Disk: 1.32TB (1.79TB) space
16:32:11 [App     ] SSE & AVX compatible CPU & OS detected
16:32:11 [App     ] Command line: DensifyPointCloud -i /work/out/scene.mvs -o /work/out/scene_dense.mvs --archive-type -1
16:32:11 [App     ] MapSMtoCores for SM 8.6 is undefined; default to use 64 cores/SM
16:32:11 [App     ] CUDA device 0 initialized: NVIDIA GeForce RTX 3090 (compute capability 8.6; memory 23.66GB)
16:32:11 [App     ] Camera model loaded: platform 0; camera  0; f 0.457x0.455; poses 99
16:32:11 [App     ] Scene loaded from interface format (8ms):
        99 images (99 calibrated) with a total of 195.78 MPixels (1.98 MPixels/image)
        28867 points, 0 vertices, 0 faces
16:32:11 [App     ] Set the ROI by the estimated core points
16:32:11 [App     ] Point-cloud composed of 28867 points with:
 - points info:
        28528 points inside ROI (98.83%)
         inside ROI track length: 2 min / 4.6317 mean (3.37712 std) / 36 max
        outside ROI track length: 2 min / 4.49558 mean (2.17708 std) / 14 max
 - visibility info (133657 views - 4.63 views/point):
                0 points with 1- views (0.00%)
             5202 points with 2  views (18.02%)
            10257 points with 3  views (35.53%)
            13408 points with 4+ views (46.45%)
        2 min / 4.6301 mean (3.36554 std) / 36 max
16:32:12 [App     ] Preparing images for dense reconstruction completed: 99 images (772ms)
16:32:12 [App     ] Selecting images for dense reconstruction completed: 99 images (16ms)
Estimated depth-maps 99 (100%, 9s934ms)           
16:32:24 [App     ] MEMORYINFO: {
16:32:24 [App     ]     VmPeak:  9148576 kB
16:32:24 [App     ]     VmSize:  8948616 kB
16:32:24 [App     ] } ENDINFO

Desktop (please complete the following information):

• OS: Linux 22.04
• NVIDIA GPU 3080

Additional context
Add any other context about the problem here.

[danyanuka]

@tungts1101
Hey there, im facing the exact same issue, I did not try anything else but it occurs in that case -

• Creating sparse model using Colmap
• Undistorted images
• interfaceCOLMAP command that creates the mvs file while is the what eventually is needed for DensifyPointCloud
  Next im trying use the DensifyPointCloud and i get the same output and seems like nothing happends, just exists quickly without creating the dense.mvs file.

Did you manage to understand why or when this happends?

[cdcseacave]

try this command line:

DensifyPointCloud scene.mvs -w /work/out/