Error while running Texture mesh

[arminbiglari]

hello, thanks for your work, when i want to use OpenMVS on my own data, i get this error

Using input dir: /content/images

output dir: /content/output

Steps: [0, 1, 2, 3, 4, 5, 11, 18, 19, 20, 21]

#0. Intrinsics analysis
Cmd: /usr/local/bin/openMVG_main_SfMInit_ImageListing -i /content/images -o /content/output/sfm/matches -d /content/openMVG/src/openMVG/exif/sensor_width_database/sensor_width_camera_database.txt -f 2100
INFO: [main_SfMInit_ImageListing.cpp:194] You called : /usr/local/bin/openMVG_main_SfMInit_ImageListing
--imageDirectory /content/images
--sensorWidthDatabase /content/openMVG/src/openMVG/exif/sensor_width_database/sensor_width_camera_database.txt
--outputDirectory /content/output/sfm/matches
--focal 2100
--intrinsics
--camera_model 3
--group_camera_model 1
--use_pose_prior 0
--prior_weights 1.0;1.0;1.0
--gps_to_xyz_method 0
INFO: [loggerprogress.hpp:79] [- Listing images -] 20%
INFO: [loggerprogress.hpp:79] [- Listing images -] 40%
INFO: [loggerprogress.hpp:79] [- Listing images -] 60%
INFO: [loggerprogress.hpp:79] [- Listing images -] 80%
INFO: [loggerprogress.hpp:79] [- Listing images -] 100%
INFO: [main_SfMInit_ImageListing.cpp:475] SfMInit_ImageListing report:
listed #File(s): 5
usable #File(s) listed in sfm_data: 5
usable #Intrinsic(s) listed in sfm_data: 1
#1. Compute features
Cmd: /usr/local/bin/openMVG_main_ComputeFeatures -i /content/output/sfm/matches/sfm_data.json -o /content/output/sfm/matches -m SIFT
INFO: [main_ComputeFeatures.cpp:120] You called :
/usr/local/bin/openMVG_main_ComputeFeatures
--input_file /content/output/sfm/matches/sfm_data.json
--outdir /content/output/sfm/matches
--describerMethod SIFT
--upright 0
--describerPreset NORMAL
--force 0
--numThreads 0

INFO: [loggerprogress.hpp:79] [- EXTRACT FEATURES -] 20%
INFO: [loggerprogress.hpp:79] [- EXTRACT FEATURES -] 40%
INFO: [loggerprogress.hpp:79] [- EXTRACT FEATURES -] 60%
INFO: [loggerprogress.hpp:79] [- EXTRACT FEATURES -] 80%
INFO: [loggerprogress.hpp:79] [- EXTRACT FEATURES -] 100%
INFO: [main_ComputeFeatures.cpp:343] Task done in (s): 0
#2. Compute pairs
Cmd: /usr/local/bin/openMVG_main_PairGenerator -i /content/output/sfm/matches/sfm_data.json -o /content/output/sfm/matches/pairs.bin
You called:
/usr/local/bin/openMVG_main_PairGenerator
--input_file : /content/output/sfm/matches/sfm_data.json
--output_file : /content/output/sfm/matches/pairs.bin
Optional parameters
--pair_mode : EXHAUSTIVE
--contiguous_count : -1

Loading scene.Computing pairs.
Saving pairs.
#3. Compute matches
Cmd: /usr/local/bin/openMVG_main_ComputeMatches -i /content/output/sfm/matches/sfm_data.json -p /content/output/sfm/matches/pairs.bin -o /content/output/sfm/matches/matches.putative.bin -n AUTO
INFO: [main_ComputeMatches.cpp:113] You called :
/usr/local/bin/openMVG_main_ComputeMatches
--input_file /content/output/sfm/matches/sfm_data.json
--output_file /content/output/sfm/matches/matches.putative.bin
--pair_list /content/output/sfm/matches/pairs.bin
Optional parameters:
--force 0
--ratio 0.8
--nearest_matching_method AUTO
--cache_size unlimited
--preemptive_feature_used/count 0 / 200
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 20%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 40%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 60%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 80%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 100%
INFO: [main_ComputeMatches.cpp:216] - PUTATIVE MATCHES -
INFO: [main_ComputeMatches.cpp:225] PREVIOUS RESULTS LOADED; #pair: 10
INFO: [main_ComputeMatches.cpp:365] #Putative pairs: 10
INFO: [graph_stats.hpp:53] Graph statistics:
#nodes: 5
#cc: 1
#singleton: 0
Node degree statistics: min: 4, max: 4, mean: 4, median: 4
#4. Filter matches
Cmd: /usr/local/bin/openMVG_main_GeometricFilter -i /content/output/sfm/matches/sfm_data.json -m /content/output/sfm/matches/matches.putative.bin -o /content/output/sfm/matches/matches.f.bin
INFO: [main_GeometricFilter.cpp:131] You called :
/usr/local/bin/openMVG_main_GeometricFilter
--input_file: /content/output/sfm/matches/sfm_data.json
--matches: /content/output/sfm/matches/matches.putative.bin
--output_file: /content/output/sfm/matches/matches.f.bin
Optional parameters:
--input_pairs
--output_pairs
--force false
--geometric_model f
--guided_matching 0
--cache_size unlimited
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 20%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 40%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 60%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 80%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 100%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 10%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 20%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 30%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 40%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 50%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 60%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 70%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 80%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 90%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 100%
INFO: [graph_stats.hpp:53] Graph statistics:
#nodes: 5
#cc: 1
#singleton: 0
Node degree statistics: min: 4, max: 4, mean: 4, median: 4
INFO: [main_GeometricFilter.cpp:383] Task done in (s): 0
INFO: [main_GeometricFilter.cpp:386]
Export Adjacency Matrix of the pairwise's geometric matches
#5. Incremental reconstruction
Cmd: /usr/local/bin/openMVG_main_SfM -i /content/output/sfm/matches/sfm_data.json -m /content/output/sfm/matches -o /content/output/sfm -s INCREMENTAL
INFO: [main_SfM.cpp:157]

Structure from Motion:

INFO: [loggerprogress.hpp:79] [- Features Loading -] 20%
INFO: [loggerprogress.hpp:79] [- Features Loading -] 40%
INFO: [loggerprogress.hpp:79] [- Features Loading -] 60%
INFO: [loggerprogress.hpp:79] [- Features Loading -] 80%
INFO: [loggerprogress.hpp:79] [- Features Loading -] 100%
INFO: [sequential_SfM.cpp:278] Track building
INFO: [sequential_SfM.cpp:281] Track filtering
INFO: [sequential_SfM.cpp:283] Track export to internal struct
INFO: [sequential_SfM.cpp:309]

-- Tracks Stats --
Tracks number: 6069
Images Id:
0, 1, 2, 3, 4,

TrackLength, Occurrence
2 2913
3 1975
4 803
5 378

INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 10%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 20%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 30%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 40%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 50%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 60%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 70%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 80%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 90%
INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 100%
INFO: [sequential_SfM.cpp:495] Putative starting pair info:
index:(0,4)
view basename:(frame_00000,frame_00023)
INFO: [sequential_SfM.cpp:538] Relative pose a-contrario upper_bound residual is: 135.534
INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 2
#poses: 2
#intrinsics: 1
#tracks: 595
#residuals: 2380
Initial RMSE: 1.30552
Final RMSE: 1.03309
Time (s): 0.0118821

Used motion prior: 0
INFO: [sequential_SfM.cpp:648]

MSE Residual InitialPair Inlier:

INFO: [sequential_SfM.cpp:733]
SequentialSfMReconstructionEngine::ComputeResidualsMSE.
-- #Tracks: 595
-- Residual min: 9.76544e-06
-- Residual median: 0.199585
-- Residual max: 6.60658
-- Residual mean: 0.885188
INFO: [sequential_SfM.cpp:932] -- Trying robust Resection of view: 2
INFO: [robust_estimator_ACRansac.hpp:440] nfa=5.29788 inliers=23/495 precisionNormalized=0.00297656 precision=114.572 (iter=0 ,sample=403,67,448,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1424.95 inliers=483/495 precisionNormalized=0.000290309 precision=35.7808 (iter=0 ,sample=403,67,448,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1749.37 inliers=483/495 precisionNormalized=6.1137e-05 precision=16.4199 (iter=1 ,sample=455,350,428,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1757.95 inliers=485/495 precisionNormalized=6.17541e-05 precision=16.5026 (iter=99 ,sample=428,485,384,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1799.02 inliers=487/495 precisionNormalized=5.3466e-05 precision=15.3553 (iter=194 ,sample=29,211,350,)
INFO: [SfM_Localizer.cpp:333]

-- Robust Resection statistics:
-- Resection status: 1
-- #Points used for Resection: 495
-- #Points validated by robust Resection: 487
-- Threshold: 15.3553

INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 1
#poses: 1
#intrinsics: 1
#tracks: 487
#residuals: 974
Initial RMSE: 3.81633
Final RMSE: 3.50323
Time (s): 0.00289989

Used motion prior: 0
INFO: [sequential_SfM.cpp:932] -- Trying robust Resection of view: 1
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-73.3622 inliers=166/544 precisionNormalized=0.0129842 precision=239.291 (iter=0 ,sample=443,74,492,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-608.822 inliers=498/544 precisionNormalized=0.013048 precision=239.878 (iter=0 ,sample=443,74,492,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2117.92 inliers=523/544 precisionNormalized=2.16115e-05 precision=9.76251 (iter=1 ,sample=211,260,243,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2152.41 inliers=529/544 precisionNormalized=2.15381e-05 precision=9.74592 (iter=5 ,sample=73,70,419,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2211.45 inliers=518/544 precisionNormalized=1.25303e-05 precision=7.43361 (iter=17 ,sample=195,501,509,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2226.18 inliers=525/544 precisionNormalized=1.404e-05 precision=7.86871 (iter=21 ,sample=181,398,159,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2285.96 inliers=512/544 precisionNormalized=7.62847e-06 precision=5.80013 (iter=44 ,sample=96,389,333,)
INFO: [SfM_Localizer.cpp:333]

-- Robust Resection statistics:
-- Resection status: 1
-- #Points used for Resection: 544
-- #Points validated by robust Resection: 512
-- Threshold: 5.80013

INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 1
#poses: 1
#intrinsics: 1
#tracks: 512
#residuals: 1024
Initial RMSE: 1.5373
Final RMSE: 1.31946
Time (s): 0.002882

Used motion prior: 0
INFO: [sequential_SfM.cpp:932] -- Trying robust Resection of view: 3
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1324.25 inliers=623/650 precisionNormalized=0.00187187 precision=90.8567 (iter=0 ,sample=529,88,588,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1666.93 inliers=638/650 precisionNormalized=0.000662025 precision=54.0327 (iter=1 ,sample=216,533,140,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1683.08 inliers=639/650 precisionNormalized=0.000634461 precision=52.8959 (iter=3 ,sample=470,139,142,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1949.26 inliers=625/650 precisionNormalized=0.000190004 precision=28.9468 (iter=4 ,sample=45,464,102,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1970.23 inliers=623/650 precisionNormalized=0.000169858 precision=27.3692 (iter=24 ,sample=633,146,390,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1982.61 inliers=624/650 precisionNormalized=0.000165051 precision=26.9791 (iter=53 ,sample=59,620,522,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-1999.3 inliers=630/650 precisionNormalized=0.00017222 precision=27.5588 (iter=65 ,sample=89,469,575,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2006.46 inliers=638/650 precisionNormalized=0.000193194 precision=29.1888 (iter=84 ,sample=54,23,480,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2068.29 inliers=627/650 precisionNormalized=0.000126684 precision=23.6364 (iter=86 ,sample=444,539,186,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2069.14 inliers=618/650 precisionNormalized=0.000107597 precision=21.783 (iter=244 ,sample=568,417,337,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-2083.52 inliers=628/650 precisionNormalized=0.000121919 precision=23.1876 (iter=272 ,sample=524,280,147,)
INFO: [SfM_Localizer.cpp:333]

-- Robust Resection statistics:
-- Resection status: 1
-- #Points used for Resection: 650
-- #Points validated by robust Resection: 628
-- Threshold: 23.1876

INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 1
#poses: 1
#intrinsics: 1
#tracks: 628
#residuals: 1256
Initial RMSE: 6.51014
Final RMSE: 5.48123
Time (s): 0.00375891

Used motion prior: 0
INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 5
#poses: 5
#intrinsics: 1
#tracks: 2615
#residuals: 16502
Initial RMSE: 2.64199
Final RMSE: 0.679209
Time (s): 0.737394

Used motion prior: 0
INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 5
#poses: 5
#intrinsics: 1
#tracks: 2053
#residuals: 13658
Initial RMSE: 0.378372
Final RMSE: 0.259483
Time (s): 0.238273

Used motion prior: 0
INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 5
#poses: 5
#intrinsics: 1
#tracks: 1747
#residuals: 11382
Initial RMSE: 0.252983
Final RMSE: 0.251228
Time (s): 0.069875

Used motion prior: 0
INFO: [sequential_SfM.cpp:733]
SequentialSfMReconstructionEngine::ComputeResidualsMSE.
-- #Tracks: 1743
-- Residual min: 7.57771e-06
-- Residual median: 0.131646
-- Residual max: 3.66329
-- Residual mean: 0.218212
INFO: [sequential_SfM.cpp:235]

-- Structure from Motion (statistics):
-- #Camera calibrated: 5 from 5 input images.
-- #Tracks, #3D points: 1743

Histogram of residuals:
0 | 9288
0.366 | 1492
0.733 | 378
1.1 | 120
1.47 | 38
1.83 | 18
2.2 | 8
2.56 | 5
2.93 | 1
3.3 | 1
3.66

INFO: [main_SfM.cpp:618] Total Sfm took (s): 1
INFO: [main_SfM.cpp:620] ...Generating SfM_Report.html
INFO: [main_SfM.cpp:625] ...Export SfM_Data to disk.
#11. Export to openMVS
Cmd: /usr/local/bin/openMVG_main_openMVG2openMVS -i /content/output/sfm/sfm_data.bin -o /content/output/mvs/scene.mvs -d /content/output/mvs/images
INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 20%
INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 40%
INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 60%
INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 80%
INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 100%
INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 20%
INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 40%
INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 60%
INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 80%
INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 100%
INFO: [main_openMVG2openMVS.cpp:304] Scene saved to OpenMVS interface format:
#platforms: 1
INFO: [main_openMVG2openMVS.cpp:309] platform ( 0 ) #cameras: 1
INFO: [main_openMVG2openMVS.cpp:311] 5 images (5 calibrated)
1743 Landmarks
#18. Densify point cloud
Cmd: /usr/local/bin/OpenMVS/DensifyPointCloud scene.mvs --dense-config-file Densify.ini --resolution-level 1 --number-views 8 -w "/content/output/mvs"
15:08:48 [App ] OpenMVS x64 v2.3.0
15:08:48 [App ] Build date: Nov 8 2024, 10:54:48
15:08:48 [App ] CPU: Intel(R) Xeon(R) CPU @ 2.20GHz (12 cores)
15:08:48 [App ] RAM: 52.96GB Physical Memory 0B Virtual Memory
15:08:48 [App ] OS: Linux 6.1.85+ (x86_64)
15:08:48 [App ] Disk: 183.52GB (235.68GB) space
15:08:48 [App ] SSE & AVX compatible CPU & OS detected
15:08:48 [App ] Command line: DensifyPointCloud scene.mvs --dense-config-file Densify.ini --resolution-level 1 --number-views 8 -w "/content/output/mvs"
15:08:48 [App ] MapSMtoCores for SM 8.9 is undefined; default to use 64 cores/SM
15:08:48 [App ] CUDA device 0 initialized: NVIDIA L4 (compute capability 8.9; memory 22.17GB)
15:08:48 [App ] Camera model loaded: platform 0; camera 0; f 0.697x0.697; poses 5
15:08:48 [App ] Image loaded 0: frame_00023.jpg
15:08:48 [App ] Image loaded 1: frame_00017.jpg
15:08:48 [App ] Image loaded 2: frame_00012.jpg
15:08:48 [App ] Image loaded 3: frame_00006.jpg
15:08:48 [App ] Image loaded 4: frame_00000.jpg
15:08:48 [App ] Scene loaded from interface format (17ms):
5 images (5 calibrated) with a total of 13.18 MPixels (2.64 MPixels/image)
1743 points, 0 vertices, 0 faces
15:08:48 [App ] The camera directions mean is unbalanced; the scene will be considered unbounded (no ROI)
15:08:48 [App ] error: too few images to be a tower: '5'
15:08:48 [App ] Point-cloud composed of 1743 points with:

• visibility info (5675 views - 3.26 views/point):
  0 points with 1- views (0.00%)
  580 points with 2 views (33.28%)
  375 points with 3 views (21.51%)
  788 points with 4+ views (45.21%)
  2 min / 3.25588 mean (1.06255 std) / 5 max
  15:08:48 [App ] K4 =
  669.2086 0.0000 476.8240
  0.0000 669.2086 348.6705
  0.0000 0.0000 1.0000

15:08:48 [App ] K1 =
669.2086 0.0000 476.8240
0.0000 669.2086 348.6705
0.0000 0.0000 1.0000

15:08:48 [App ] K0 =
669.2086 0.0000 476.8240
0.0000 669.2086 348.6705
0.0000 0.0000 1.0000

15:08:48 [App ] K3 =
669.2086 0.0000 476.8240
0.0000 669.2086 348.6705
0.0000 0.0000 1.0000

15:08:48 [App ] K2 =
669.2086 0.0000 476.8240
0.0000 669.2086 348.6705
0.0000 0.0000 1.0000

15:08:48 [App ] Preparing images for dense reconstruction completed: 5 images (44ms)
15:08:48 [App ] Reference image 0 sees 4 views: 1(622pts,1.00scl) 2(425pts,1.00scl) 4(385pts,1.01scl) 3(372pts,1.01scl) (758 shared points)
15:08:48 [App ] Reference image 3 sees 4 views: 0(372pts,1.00scl) 1(882pts,1.00scl) 4(817pts,1.00scl) 2(805pts,1.00scl) (965 shared points)
15:08:48 [App ] Reference image 2 sees 4 views: 1(1150pts,1.01scl) 0(425pts,1.00scl) 4(905pts,0.99scl) 3(805pts,1.00scl) (1233 shared points)
15:08:48 [App ] Reference image 4 sees 4 views: 1(1022pts,1.01scl) 0(385pts,1.00scl) 2(905pts,1.01scl) 3(817pts,1.00scl) (1113 shared points)
15:08:48 [App ] Reference image 1 sees 4 views: 2(1150pts,1.00scl) 0(622pts,1.00scl) 4(1022pts,1.00scl) 3(882pts,1.01scl) (1606 shared points)
15:08:48 [App ] Selecting images for dense reconstruction completed: 5 images (12ms)
Geometric-consistent estimated depth-maps 5 (100%, 5s558ms)
Geometric-consistent estimated depth-maps 5 (100%, 5s157ms)
Filtered depth-maps 5 (100%, 1s911ms)
Dense fused depth-maps 5 (100%, 3s705ms)
15:09:04 [App ] Depth-maps dense fused and filtered: 5 depth-maps, 1332193 depths, 81011 points (6%%), 3.20 hits in 4.00 cached (3s706ms)
15:09:04 [App ] Dense point-cloud composed of:
0 points with 1- views
0 points with 2 views
81011 points with 3+ views
15:09:04 [App ] Densifying point-cloud completed: 81011 points (16s451ms)
15:09:05 [App ] Point-cloud 'scene_dense.ply' saved: 81011 points (62ms)
15:09:05 [App ] Scene saved to interface format (1ms):
5 images (5 calibrated)
1743 points, 0 vertices, 0 faces
15:09:05 [App ] MEMORYINFO: {
15:09:05 [App ] VmPeak: 9030580 kB
15:09:05 [App ] VmSize: 8628788 kB
15:09:05 [App ] } ENDINFO
#19. Reconstruct the mesh
Cmd: /usr/local/bin/OpenMVS/ReconstructMesh scene_dense.mvs -p scene_dense.ply -w "/content/output/mvs" -d 10
15:09:05 [App ] OpenMVS x64 v2.3.0
15:09:05 [App ] Build date: Nov 8 2024, 10:54:48
15:09:05 [App ] CPU: Intel(R) Xeon(R) CPU @ 2.20GHz (12 cores)
15:09:05 [App ] RAM: 52.96GB Physical Memory 0B Virtual Memory
15:09:05 [App ] OS: Linux 6.1.85+ (x86_64)
15:09:05 [App ] Disk: 183.51GB (235.68GB) space
15:09:05 [App ] SSE & AVX compatible CPU & OS detected
15:09:05 [App ] Command line: ReconstructMesh scene_dense.mvs -p scene_dense.ply -w "/content/output/mvs" -d 10
15:09:05 [App ] MapSMtoCores for SM 8.9 is undefined; default to use 64 cores/SM
15:09:05 [App ] CUDA device 0 initialized: NVIDIA L4 (compute capability 8.9; memory 22.17GB)
15:09:05 [App ] Camera model loaded: platform 0; camera 0; f 0.697x0.697; poses 5
15:09:05 [App ] Image loaded 0: frame_00023.jpg
15:09:05 [App ] Image loaded 1: frame_00017.jpg
15:09:05 [App ] Image loaded 2: frame_00012.jpg
15:09:05 [App ] Image loaded 3: frame_00006.jpg
15:09:05 [App ] Image loaded 4: frame_00000.jpg
15:09:05 [App ] Scene loaded from interface format (18ms):
5 images (5 calibrated) with a total of 3.30 MPixels (0.66 MPixels/image)
1743 points, 0 vertices, 0 faces
15:09:05 [App ] Point-cloud 'scene_dense.ply' loaded: 81011 points (76ms)
Points inserted 81011 (100%, 6s715ms)
15:09:12 [App ] Delaunay tetrahedralization completed: 81011 points -> 14817 vertices, 91295 (+236) cells, 182708 (+354) faces (7s59ms)
Points weighted 14817 (100%, 11s360ms)
15:09:24 [App ] weighting completed in 11s360ms
15:09:24 [App ] Delaunay tetrahedras weighting completed: 91531 cells, 183062 faces (11s770ms)
15:09:25 [App ] Delaunay tetrahedras graph-cut completed (8897.9 flow): 14686 vertices, 29388 faces (807ms)
15:09:25 [App ] Removed 45 non-manifold issues
15:09:25 [App ] Mesh reconstruction completed: 14731 vertices, 29388 faces (19s856ms)
15:09:25 [App ] Mesh saved: 14731 vertices, 29388 faces (155ms)
15:09:25 [App ] Removed 0 zero-area faces
15:09:25 [App ] Removed 0 duplicate faces
15:09:25 [App ] Removed 0 unreferenced vertices
15:09:25 [App ] Removed 0 non-manifold faces
15:09:25 [App ] Removed 0 degenerate vertices
15:09:25 [App ] Removed 0 duplicate vertices
15:09:25 [App ] Split 0 non-manifold vertices
15:09:25 [App ] Removed 86 faces with edges longer than 1.332925
15:09:25 [App ] Removed 3 connected components out of 6
15:09:25 [App ] Removed 1 spikes
15:09:25 [App ] Closed 6 holes and added 22 new faces
15:09:25 [App ] Smoothed 14692 vertices
15:09:26 [App ] Cleaned mesh: 14692 vertices, 29293 faces (530ms)
15:09:26 [App ] Removed 0 zero-area faces
15:09:26 [App ] Removed 0 duplicate faces
15:09:26 [App ] Removed 0 unreferenced vertices
15:09:26 [App ] Removed 0 non-manifold faces
15:09:26 [App ] Removed 0 degenerate vertices
15:09:26 [App ] Removed 0 duplicate vertices
15:09:26 [App ] Split 2 non-manifold vertices
15:09:26 [App ] Split 0 non-manifold vertices
15:09:26 [App ] Removed 1 spikes
15:09:26 [App ] Closed 0 holes and added 0 new faces
15:09:26 [App ] Cleaned mesh: 14693 vertices, 29292 faces (539ms)
15:09:26 [App ] Removed 0 zero-area faces
15:09:26 [App ] Removed 0 duplicate faces
15:09:26 [App ] Removed 0 unreferenced vertices
15:09:26 [App ] Removed 0 non-manifold faces
15:09:26 [App ] Removed 0 degenerate vertices
15:09:26 [App ] Removed 0 duplicate vertices
15:09:26 [App ] Split 0 non-manifold vertices
15:09:26 [App ] Cleaned mesh: 14693 vertices, 29292 faces (269ms)
15:09:26 [App ] Mesh saved: 14693 vertices, 29292 faces (11ms)
15:09:26 [App ] MEMORYINFO: {
15:09:26 [App ] VmPeak: 7822668 kB
15:09:26 [App ] VmSize: 7692324 kB
15:09:26 [App ] } ENDINFO
#20. Refine the mesh
Cmd: /usr/local/bin/OpenMVS/RefineMesh scene_dense.mvs -m scene_dense_mesh.ply -o scene_dense_mesh_refine.mvs --scales 1 --gradient-step 25.05 -w "/content/output/mvs" --resolution-level 2
15:09:26 [App ] OpenMVS x64 v2.3.0
15:09:26 [App ] Build date: Nov 8 2024, 10:54:48
15:09:27 [App ] CPU: Intel(R) Xeon(R) CPU @ 2.20GHz (12 cores)
15:09:27 [App ] RAM: 52.96GB Physical Memory 0B Virtual Memory
15:09:27 [App ] OS: Linux 6.1.85+ (x86_64)
15:09:27 [App ] Disk: 183.51GB (235.68GB) space
15:09:27 [App ] SSE & AVX compatible CPU & OS detected
15:09:27 [App ] Command line: RefineMesh scene_dense.mvs -m scene_dense_mesh.ply -o scene_dense_mesh_refine.mvs --scales 1 --gradient-step 25.05 -w "/content/output/mvs" --resolution-level 2
15:09:27 [App ] Camera model loaded: platform 0; camera 0; f 0.697x0.697; poses 5
15:09:27 [App ] Image loaded 0: frame_00023.jpg
15:09:27 [App ] Image loaded 1: frame_00017.jpg
15:09:27 [App ] Image loaded 2: frame_00012.jpg
15:09:27 [App ] Image loaded 3: frame_00006.jpg
15:09:27 [App ] Image loaded 4: frame_00000.jpg
15:09:27 [App ] Scene loaded from interface format (16ms):
5 images (5 calibrated) with a total of 3.30 MPixels (0.66 MPixels/image)
1743 points, 0 vertices, 0 faces
15:09:27 [App ] Mesh loaded: 14693 vertices, 29292 faces (13ms)
15:09:27 [App ] Refine mesh at: 1.00 image scale
15:09:28 [App ] Mesh imported: 16242 vertices, 32339 facets (143 border edges)
15:09:39 [App ] Edge size in [0.00218578, 0.10877] (requested in [0.0137055, 0.109644]): 10501 ops, 24 iters
15:09:39 [App ] Mesh exported: 12744 vertices, 25066 facets (420 border edges)
15:09:39 [App ] Removed 0 zero-area faces
15:09:39 [App ] Removed 0 duplicate faces
15:09:39 [App ] Removed 0 unreferenced vertices
15:09:39 [App ] Removed 0 non-manifold faces
15:09:39 [App ] Removed 0 degenerate vertices
15:09:39 [App ] Removed 0 duplicate vertices
15:09:39 [App ] Split 0 non-manifold vertices
15:09:39 [App ] Closed 0 holes and added 0 new faces
15:09:39 [App ] Removed 0 non-manifold faces
15:09:39 [App ] Removed 0 non-manifold vertices
15:09:39 [App ] Cleaned mesh: 12744 vertices, 25066 faces (339ms)
15:09:39 [App ] Mesh subdivided: 14693/29292 -> 12744/25066 vertices/faces
15:09:39 [App ] Mesh saved: 12744 vertices, 25066 faces (10ms)
Processed iterations 25 (100%, 1m34s474ms)
15:11:14 [App ] Mesh saved: 12744 vertices, 25066 faces (10ms)
15:11:14 [App ] Mesh refinement completed: 12744 vertices, 25066 faces (1m47s115ms)
15:11:14 [App ] Mesh saved: 12744 vertices, 25066 faces (10ms)
15:11:14 [App ] MEMORYINFO: {
15:11:14 [App ] VmPeak: 3671160 kB
15:11:14 [App ] VmSize: 3423964 kB
15:11:14 [App ] } ENDINFO
#21. Texture the mesh
Cmd: /usr/local/bin/OpenMVS/TextureMesh scene_dense.mvs -m scene_dense_mesh_refine.ply --decimate 0.1 -w "/content/output/mvs"
15:11:14 [App ] OpenMVS x64 v2.3.0
15:11:14 [App ] Build date: Nov 8 2024, 10:54:48
15:11:14 [App ] CPU: Intel(R) Xeon(R) CPU @ 2.20GHz (12 cores)
15:11:14 [App ] RAM: 52.96GB Physical Memory 0B Virtual Memory
15:11:14 [App ] OS: Linux 6.1.85+ (x86_64)
15:11:14 [App ] Disk: 183.51GB (235.68GB) space
15:11:14 [App ] SSE & AVX compatible CPU & OS detected
15:11:14 [App ] Command line: TextureMesh scene_dense.mvs -m scene_dense_mesh_refine.ply --decimate 0.1 -w "/content/output/mvs"
15:11:14 [App ] MapSMtoCores for SM 8.9 is undefined; default to use 64 cores/SM
15:11:14 [App ] CUDA device 0 initialized: NVIDIA L4 (compute capability 8.9; memory 22.17GB)
15:11:14 [App ] Camera model loaded: platform 0; camera 0; f 0.697x0.697; poses 5
15:11:14 [App ] Image loaded 0: frame_00023.jpg
15:11:14 [App ] Image loaded 1: frame_00017.jpg
15:11:14 [App ] Image loaded 2: frame_00012.jpg
15:11:14 [App ] Image loaded 3: frame_00006.jpg
15:11:14 [App ] Image loaded 4: frame_00000.jpg
15:11:14 [App ] Scene loaded from interface format (17ms):
5 images (5 calibrated) with a total of 3.30 MPixels (0.66 MPixels/image)
1743 points, 0 vertices, 0 faces
15:11:14 [App ] Mesh loaded: 12744 vertices, 25066 faces (5ms)
15:11:14 [App ] Removed 0 zero-area faces
15:11:14 [App ] Removed 0 duplicate faces
15:11:14 [App ] Removed 0 unreferenced vertices
Decimated faces 22559 (100%, 6s302ms)
15:11:20 [App ] Mesh decimated: 25066 -> 2507 faces
15:11:20 [App ] Removed 0 zero-area faces
15:11:20 [App ] Removed 2 duplicate faces
15:11:20 [App ] Removed 3 unreferenced vertices
15:11:20 [App ] Removed 1 non-manifold faces
15:11:20 [App ] Removed 0 degenerate vertices
15:11:20 [App ] Removed 0 duplicate vertices
15:11:20 [App ] Split 1 non-manifold vertices
15:11:20 [App ] Split 0 non-manifold vertices
15:11:20 [App ] Closed 1 holes and added 0 new faces
15:11:20 [App ] Cleaned mesh: 1323 vertices, 2503 faces (6s439ms)
15:11:20 [App ] Removed 0 zero-area faces
15:11:20 [App ] Removed 0 duplicate faces
15:11:20 [App ] Removed 0 unreferenced vertices
15:11:20 [App ] Removed 0 non-manifold faces
15:11:20 [App ] Removed 0 degenerate vertices
15:11:20 [App ] Removed 0 duplicate vertices
15:11:21 [App ] Split 0 non-manifold vertices
15:11:21 [App ] Cleaned mesh: 1323 vertices, 2503 faces (35ms)
Initialized views 1 (20.00%, 1s, ETA 4s)...ASSERTION FAILED: ((idxFace == NO_ID && depthMap(j,i) == 0) || (idxFace != NO_ID && depthMap(j,i) > 0))
TextureMesh: /content/openMVS/libs/MVS/SceneTexture.cpp:538: bool MeshTexture::ListCameraFaces(MeshTexture::FaceDataViewArr&, float, int, const IIndexArr&): Assertion `(idxFace == NO_ID && depthMap(j,i) == 0) || (idxFace != NO_ID && depthMap(j,i) > 0)' failed.

Process failed at step 21

please help me!