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error: empty initial mesh #1092

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173566007 opened this issue Jan 16, 2024 · 2 comments
Open

error: empty initial mesh #1092

173566007 opened this issue Jan 16, 2024 · 2 comments

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@173566007
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root@1d72dc283781:/home# python /home/test/script/3/MvgMvsPipeline.py /home/test/input/3 /home/test/output/3

Using input dir: /home/test/input/3

output dir: /home/test/output/3

Steps: [0, 1, 2, 3, 4, 5, 11, 17, 18, 19, 20]

#0. Intrinsics analysis
Cmd: /usr/local/bin/openMVG_main_SfMInit_ImageListing -i /home/test/input/3 -o /home/test/output/3/sfm/matches -d /home/openMVG/src/openMVG/exif/sensor_width_database/sensor_width_camera_database.txt -f 4915.2
INFO: [main_SfMInit_ImageListing.cpp:197] You called : /usr/local/bin/openMVG_main_SfMInit_ImageListing
--imageDirectory /home/test/input/3
--sensorWidthDatabase /home/openMVG/src/openMVG/exif/sensor_width_database/sensor_width_camera_database.txt
--outputDirectory /home/test/output/3/sfm/matches
--focal 4915.2
--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 -] 50%
INFO: [loggerprogress.hpp:79] [- Listing images -] 100%
INFO: [main_SfMInit_ImageListing.cpp:478] SfMInit_ImageListing report:
listed #File(s): 8
usable #File(s) listed in sfm_data: 8
usable #Intrinsic(s) listed in sfm_data: 1
#1. Compute features
Cmd: /usr/local/bin/openMVG_main_ComputeFeatures -i /home/test/output/3/sfm/matches/sfm_data.json -o /home/test/output/3/sfm/matches -m SIFT
INFO: [main_ComputeFeatures.cpp:120] You called :
/usr/local/bin/openMVG_main_ComputeFeatures
--input_file /home/test/output/3/sfm/matches/sfm_data.json
--outdir /home/test/output/3/sfm/matches
--describerMethod SIFT
--upright 0
--describerPreset NORMAL
--force 0
--numThreads 0

INFO: [loggerprogress.hpp:79] [- EXTRACT FEATURES -] 50%
INFO: [loggerprogress.hpp:79] [- EXTRACT FEATURES -] 100%
INFO: [main_ComputeFeatures.cpp:343] Task done in (s): 28
#2. Compute pairs
Cmd: /usr/local/bin/openMVG_main_PairGenerator -i /home/test/output/3/sfm/matches/sfm_data.json -o /home/test/output/3/sfm/matches/pairs.bin
You called:
/usr/local/bin/openMVG_main_PairGenerator
--input_file : /home/test/output/3/sfm/matches/sfm_data.json
--output_file : /home/test/output/3/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 /home/test/output/3/sfm/matches/sfm_data.json -p /home/test/output/3/sfm/matches/pairs.bin -o /home/test/output/3/sfm/matches/matches.putative.bin -n AUTO
INFO: [main_ComputeMatches.cpp:113] You called :
/usr/local/bin/openMVG_main_ComputeMatches
--input_file /home/test/output/3/sfm/matches/sfm_data.json
--output_file /home/test/output/3/sfm/matches/matches.putative.bin
--pair_list /home/test/output/3/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 -] 50%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 100%
INFO: [main_ComputeMatches.cpp:216] - PUTATIVE MATCHES -
INFO: [main_ComputeMatches.cpp:237] Using FAST_CASCADE_HASHING_L2 matcher
INFO: [main_ComputeMatches.cpp:316] Running matching on #pairs: 28
INFO: [Cascade_Hashing_Matcher_Regions.cpp:238] Using the OPENMP thread interface
INFO: [loggerprogress.hpp:79] [- Matching -] 50%
INFO: [loggerprogress.hpp:79] [- Matching -] 100%
INFO: [main_ComputeMatches.cpp:362] Task (Regions Matching) done in (s): 0
INFO: [main_ComputeMatches.cpp:365] #Putative pairs: 28
INFO: [graph_stats.hpp:53] Graph statistics:
#nodes: 8
#cc: 1
#singleton: 0
Node degree statistics: min: 7, max: 7, mean: 7, median: 7
#4. Filter matches
Cmd: /usr/local/bin/openMVG_main_GeometricFilter -i /home/test/output/3/sfm/matches/sfm_data.json -m /home/test/output/3/sfm/matches/matches.putative.bin -o /home/test/output/3/sfm/matches/matches.f.bin
INFO: [main_GeometricFilter.cpp:131] You called :
/usr/local/bin/openMVG_main_GeometricFilter
--input_file: /home/test/output/3/sfm/matches/sfm_data.json
--matches: /home/test/output/3/sfm/matches/matches.putative.bin
--output_file: /home/test/output/3/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 -] 50%
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 100%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 50%
INFO: [loggerprogress.hpp:79] [- Geometric filtering -] 100%
INFO: [graph_stats.hpp:53] Graph statistics:
#nodes: 8
#cc: 1
#singleton: 0
Node degree statistics: min: 1, max: 5, mean: 2, median: 3
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 /home/test/output/3/sfm/matches/sfm_data.json -m /home/test/output/3/sfm/matches -o /home/test/output/3/sfm -s INCREMENTAL
INFO: [main_SfM.cpp:157]

Structure from Motion:

INFO: [loggerprogress.hpp:79] [- Features Loading -] 50%
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: 567
Images Id:
0, 1, 2, 3, 4, 5, 6, 7,

TrackLength, Occurrence
2 379
3 164
4 19
5 5

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:(3,4)
view basename:(微信图片_20240116172051,微信图片_20240116172055)
INFO: [sequential_SfM.cpp:538] Relative pose a-contrario upper_bound residual is: 97.1739
INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 2
#poses: 2
#intrinsics: 1
#tracks: 192
#residuals: 768
Initial RMSE: 1.09409
Final RMSE: 1.01483
Time (s): 0.00412546

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

MSE Residual InitialPair Inlier:

INFO: [sequential_SfM.cpp:733]
SequentialSfMReconstructionEngine::ComputeResidualsMSE.
-- #Tracks: 192
-- Residual min: 3.92687e-05
-- Residual median: 0.171226
-- Residual max: 6.14464
-- Residual mean: 0.820219
INFO: [sequential_SfM.cpp:932] -- Trying robust Resection of view: 2
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-41.5428 inliers=61/111 precisionNormalized=0.0128789 precision=557.802 (iter=0 ,sample=90,15,100,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-419.164 inliers=111/111 precisionNormalized=3.5183e-05 precision=29.1546 (iter=0 ,sample=90,15,100,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-442.255 inliers=111/111 precisionNormalized=2.14581e-05 precision=22.7686 (iter=1 ,sample=58,23,2,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-475.549 inliers=110/111 precisionNormalized=9.1037e-06 precision=14.8303 (iter=6 ,sample=79,50,46,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-488.615 inliers=110/111 precisionNormalized=6.84321e-06 precision=12.8579 (iter=13 ,sample=93,35,40,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-501.32 inliers=109/111 precisionNormalized=4.47944e-06 precision=10.4029 (iter=31 ,sample=47,61,32,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-519.949 inliers=109/111 precisionNormalized=2.94902e-06 precision=8.44073 (iter=147 ,sample=63,47,46,)
INFO: [SfM_Localizer.cpp:303]

-- Robust Resection statistics:
-- Resection status: 1
-- #Points used for Resection: 111
-- #Points validated by robust Resection: 109
-- Threshold: 8.44073

INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 1
#poses: 1
#intrinsics: 1
#tracks: 109
#residuals: 218
Initial RMSE: 2.37143
Final RMSE: 2.19532
Time (s): 0.000410558

Used motion prior: 0
INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 8
#poses: 3
#intrinsics: 1
#tracks: 214
#residuals: 1070
Initial RMSE: 1.31603
Final RMSE: 0.599901
Time (s): 0.0692241

Used motion prior: 0
INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 8
#poses: 3
#intrinsics: 1
#tracks: 155
#residuals: 816
Initial RMSE: 0.513777
Final RMSE: 0.500966
Time (s): 0.0144002

Used motion prior: 0
INFO: [sequential_SfM.cpp:932] -- Trying robust Resection of view: 5
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-24.9738 inliers=18/18 precisionNormalized=0.00335165 precision=295.439 (iter=0 ,sample=14,3,16,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-59.2351 inliers=18/18 precisionNormalized=1.73063e-05 precision=21.2295 (iter=1 ,sample=11,13,15,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-63.6005 inliers=17/18 precisionNormalized=3.35584e-06 precision=9.34844 (iter=10 ,sample=8,3,12,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-64.6986 inliers=17/18 precisionNormalized=2.78163e-06 precision=8.51114 (iter=67 ,sample=5,17,8,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-65.8211 inliers=17/18 precisionNormalized=2.29262e-06 precision=7.72688 (iter=212 ,sample=8,17,10,)
INFO: [SfM_Localizer.cpp:303]

-- Robust Resection statistics:
-- Resection status: 1
-- #Points used for Resection: 18
-- #Points validated by robust Resection: 17
-- Threshold: 7.72688

INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 1
#poses: 1
#intrinsics: 1
#tracks: 17
#residuals: 34
Initial RMSE: 2.60589
Final RMSE: 2.46093
Time (s): 0.000207187

Used motion prior: 0
INFO: [sfm_data_BA_ceres.cpp:513]
Bundle Adjustment statistics (approximated RMSE):
#views: 8
#poses: 4
#intrinsics: 1
#tracks: 153
#residuals: 832
Initial RMSE: 0.696919
Final RMSE: 0.501191
Time (s): 0.0247392

Used motion prior: 0
INFO: [sequential_SfM.cpp:932] -- Trying robust Resection of view: 1
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-17.2717 inliers=7/8 precisionNormalized=1.65041e-06 precision=5.58968 (iter=0 ,sample=6,1,7,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-17.754 inliers=7/8 precisionNormalized=1.22139e-06 precision=4.80859 (iter=20 ,sample=5,1,3,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-17.9749 inliers=7/8 precisionNormalized=1.06129e-06 precision=4.48237 (iter=25 ,sample=3,6,1,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-17.9749 inliers=7/8 precisionNormalized=1.06129e-06 precision=4.48237 (iter=96 ,sample=3,1,6,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-17.9749 inliers=7/8 precisionNormalized=1.06129e-06 precision=4.48237 (iter=138 ,sample=6,3,1,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-17.9749 inliers=7/8 precisionNormalized=1.06129e-06 precision=4.48237 (iter=255 ,sample=1,3,6,)
INFO: [SfM_Localizer.cpp:303]

-- Robust Resection statistics:
-- Resection status: 0
-- #Points used for Resection: 8
-- #Points validated by robust Resection: 7
-- Threshold: 4.48237

INFO: [sequential_SfM.cpp:932] -- Trying robust Resection of view: 6
INFO: [robust_estimator_ACRansac.hpp:440] nfa=1.78022 inliers=6/7 precisionNormalized=0.0953912 precision=1343.83 (iter=0 ,sample=5,1,6,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-11.209 inliers=6/7 precisionNormalized=4.34523e-06 precision=9.0698 (iter=0 ,sample=5,1,6,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-11.209 inliers=6/7 precisionNormalized=4.34523e-06 precision=9.0698 (iter=3 ,sample=1,6,5,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-11.209 inliers=6/7 precisionNormalized=4.34523e-06 precision=9.0698 (iter=111 ,sample=6,1,5,)
INFO: [robust_estimator_ACRansac.hpp:440] nfa=-11.209 inliers=6/7 precisionNormalized=4.34523e-06 precision=9.0698 (iter=137 ,sample=6,5,1,)
INFO: [SfM_Localizer.cpp:303]

-- Robust Resection statistics:
-- Resection status: 0
-- #Points used for Resection: 7
-- #Points validated by robust Resection: 6
-- Threshold: 9.0698

INFO: [sequential_SfM.cpp:932] -- Trying robust Resection of view: 7
INFO: [SfM_Localizer.cpp:303]

-- Robust Resection statistics:
-- Resection status: 0
-- #Points used for Resection: 1
-- #Points validated by robust Resection: 0
-- Threshold: 0

INFO: [sequential_SfM.cpp:733]
SequentialSfMReconstructionEngine::ComputeResidualsMSE.
-- #Tracks: 153
-- Residual min: 9.95915e-05
-- Residual median: 0.292438
-- Residual max: 3.67636
-- Residual mean: 0.463114
INFO: [sequential_SfM.cpp:235]

-- Structure from Motion (statistics):
-- #Camera calibrated: 4 from 8 input images.
-- #Tracks, #3D points: 153

Histogram of residuals:
0 | 483
0.368 | 185
0.735 | 69
1.1 | 46
1.47 | 25
1.84 | 10
2.21 | 5
2.57 | 4
2.94 | 3
3.31 | 1
3.68

INFO: [main_SfM.cpp:616] Total Sfm took (s): 0
INFO: [main_SfM.cpp:618] ...Generating SfM_Report.html
INFO: [main_SfM.cpp:623] ...Export SfM_Data to disk.
#11. Export to openMVS
Cmd: /usr/local/bin/openMVG_main_openMVG2openMVS -i /home/test/output/3/sfm/sfm_data.bin -o /home/test/output/3/mvs/scene.mvs -d /home/test/output/3/mvs/images
INFO: [main_openMVG2openMVS.cpp:134] Cannot read the corresponding pose or intrinsic of view 7
INFO: [main_openMVG2openMVS.cpp:134] Cannot read the corresponding pose or intrinsic of view 6
INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 50%
INFO: [main_openMVG2openMVS.cpp:134] Cannot read the corresponding pose or intrinsic of view 1
INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 100%
INFO: [main_openMVG2openMVS.cpp:134] Cannot read the corresponding pose or intrinsic of view 0
INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 50%
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] 4 images (4 calibrated)
153 Landmarks
#17. Densify point cloud
Cmd: /home/openMVS_build/bin/DensifyPointCloud scene.mvs --dense-config-file Densify.ini --resolution-level 1 --number-views 8 -w "/home/test/output/3/mvs"
09:22:07 [App ] OpenMVS x64 v2.3.0
09:22:07 [App ] Build date: Jan 16 2024, 00:49:59
09:22:07 [App ] CPU: AMD Ryzen 9 3950X 16-Core Processor (32 cores)
09:22:07 [App ] RAM: 125.69GB Physical Memory 2.00GB Virtual Memory
09:22:07 [App ] OS: Linux 6.2.0-36-generic (x86_64)
09:22:07 [App ] Disk: 356.01GB (878.65GB) space
09:22:07 [App ] SSE & AVX compatible CPU & OS detected
09:22:07 [App ] Command line: DensifyPointCloud scene.mvs --dense-config-file Densify.ini --resolution-level 1 --number-views 8 -w "/home/test/output/3/mvs"
09:22:07 [App ] MapSMtoCores for SM 8.9 is undefined; default to use 64 cores/SM
09:22:07 [App ] MapSMtoCores for SM 8.9 is undefined; default to use 64 cores/SM
09:22:07 [App ] CUDA device 0 initialized: NVIDIA GeForce RTX 4090 (compute capability 8.9; memory 23.65GB)
09:22:07 [App ] Camera model loaded: platform 0; camera 0; f 1.062x1.062; poses 4
09:22:07 [App ] Scene loaded from interface format (0ms):
4 images (4 calibrated) with a total of 48.00 MPixels (12.00 MPixels/image)
153 points, 0 vertices, 0 faces
09:22:07 [App ] The camera directions mean is unbalanced; the scene will be considered unbounded (no ROI)
09:22:07 [App ] Point-cloud composed of 153 points with:

  • visibility info (416 views - 2.72 views/point):
    0 points with 1- views (0.00%)
    51 points with 2 views (33.33%)
    94 points with 3 views (61.44%)
    8 points with 4+ views (5.23%)
    2 min / 2.71895 mean (0.553746 std) / 4 max
    09:22:08 [App ] Preparing images for dense reconstruction completed: 4 images (84ms)
    09:22:08 [App ] Selecting images for dense reconstruction completed: 4 images (1ms)
    Estimated depth-maps 4 (100%, 535ms)
    Geometric-consistent estimated depth-maps 4 (100%, 309ms)
    Geometric-consistent estimated depth-maps 4 (100%, 414ms)
    Fused depth-maps 2 (100%, 416ms)
    09:22:09 [App ] Depth-maps fused and filtered: 2 depth-maps, 3390484 depths, 0 points (0%%) (465ms)
    09:22:09 [App ] Densifying point-cloud completed: 0 points (1s967ms)
    09:22:09 [App ] Scene saved to interface format (0ms):
    4 images (4 calibrated)
    153 points, 0 vertices, 0 faces
    09:22:09 [App ] MEMORYINFO: {
    09:22:09 [App ] VmPeak: 13758884 kB
    09:22:09 [App ] VmSize: 13486232 kB
    09:22:09 [App ] } ENDINFO
    Usage question #18. Reconstruct the mesh
    Cmd: /home/openMVS_build/bin/ReconstructMesh scene_dense.mvs -p scene_dense.ply -w "/home/test/output/3/mvs"
    09:22:10 [App ] OpenMVS x64 v2.3.0
    09:22:10 [App ] Build date: Jan 16 2024, 00:49:59
    09:22:10 [App ] CPU: AMD Ryzen 9 3950X 16-Core Processor (32 cores)
    09:22:10 [App ] RAM: 125.69GB Physical Memory 2.00GB Virtual Memory
    09:22:10 [App ] OS: Linux 6.2.0-36-generic (x86_64)
    09:22:10 [App ] Disk: 355.87GB (878.65GB) space
    09:22:10 [App ] SSE & AVX compatible CPU & OS detected
    09:22:10 [App ] Command line: ReconstructMesh scene_dense.mvs -p scene_dense.ply -w "/home/test/output/3/mvs"
    09:22:10 [App ] MapSMtoCores for SM 8.9 is undefined; default to use 64 cores/SM
    09:22:10 [App ] MapSMtoCores for SM 8.9 is undefined; default to use 64 cores/SM
    09:22:10 [App ] CUDA device 0 initialized: NVIDIA GeForce RTX 4090 (compute capability 8.9; memory 23.65GB)
    09:22:10 [App ] Camera model loaded: platform 0; camera 0; f 1.062x1.062; poses 4
    09:22:10 [App ] Scene loaded from interface format (0ms):
    4 images (4 calibrated) with a total of 12.00 MPixels (3.00 MPixels/image)
    153 points, 0 vertices, 0 faces
    Points inserted 153 (100%, 0ms)
    09:22:10 [App ] Delaunay tetrahedralization completed: 153 points -> 153 vertices, 797 (+62) cells, 1625 (+93) faces (0ms)
    Points weighted 153 (100%, 0ms)
    09:22:10 [App ] Delaunay tetrahedras weighting completed: 859 cells, 1718 faces (1ms)
    09:22:10 [App ] Delaunay tetrahedras graph-cut completed (75.7343 flow): 28 vertices, 24 faces (0ms)
    09:22:10 [App ] Mesh reconstruction completed: 36 vertices, 24 faces (3ms)
    09:22:10 [App ] Cleaned mesh: 0 vertices, 0 faces (0ms)
    09:22:10 [App ] Mesh saved: 0 vertices, 0 faces (0ms)
    09:22:10 [App ] MEMORYINFO: {
    09:22:10 [App ] VmPeak: 12392424 kB
    09:22:10 [App ] VmSize: 11933672 kB
    09:22:10 [App ] } ENDINFO
    Help output segmentation fault #19. Refine the mesh
    Cmd: /home/openMVS_build/bin/RefineMesh scene_dense.mvs -m scene_dense_mesh.ply -o scene_dense_mesh_refine.mvs --scales 1 --gradient-step 25.05 -w "/home/test/output/3/mvs"
    09:22:10 [App ] OpenMVS x64 v2.3.0
    09:22:10 [App ] Build date: Jan 16 2024, 00:49:59
    09:22:10 [App ] CPU: AMD Ryzen 9 3950X 16-Core Processor (32 cores)
    09:22:10 [App ] RAM: 125.69GB Physical Memory 2.00GB Virtual Memory
    09:22:10 [App ] OS: Linux 6.2.0-36-generic (x86_64)
    09:22:10 [App ] Disk: 355.87GB (878.65GB) space
    09:22:10 [App ] SSE & AVX compatible CPU & OS detected
    09:22:10 [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 "/home/test/output/3/mvs"
    09:22:10 [App ] Camera model loaded: platform 0; camera 0; f 1.062x1.062; poses 4
    09:22:10 [App ] Scene loaded from interface format (0ms):
    4 images (4 calibrated) with a total of 12.00 MPixels (3.00 MPixels/image)
    153 points, 0 vertices, 0 faces
    09:22:10 [App ] Mesh loaded: 0 vertices, 0 faces (0ms)
    09:22:10 [App ] error: empty initial mesh
    09:22:10 [App ] MEMORYINFO: {
    09:22:10 [App ] VmPeak: 200016 kB
    09:22:10 [App ] VmSize: 199952 kB
    09:22:10 [App ] } ENDINFO
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用demo中的图片可以正常运行，自己的图片就不可以

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cdcseacave commented Jan 16, 2024 via email

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