cdcseacave
commented
4 years ago The sample is to prove the OpenMVS pipeline, not to be used with OpenMVG, and so only the undistorted images and scene.mvs files are needed as input. You are free to obtain them in any way you like, for example using OpenMVG on the original images, prior to using OpenMVS.
I build openMVG and openMVS in ubuntu successfully, and then I use the images and MvgMvs_Pipeline.py script in openMVS_sample to test reconstruction. However, I can't get right results as the openMVS_sample provided. I encournter an error when execute the "openMVG_main_IncrementalSfM": There is no defined intrinsic data in order to compute an essential matrix for the initial pair. Why? And what I should do to get the right results?
My operation and run log is as follows: root@5fb8fe3efd24:/home/openMVS_sample/test# python ../MvgMvs_Pipeline.py ../images/ ./
Using input dir : /home/openMVS_sample/images
output_dir : /home/openMVS_sample/test
First step : 0
Last step : 11
0. Intrinsics analysis
You called : /home/openMVG/build/install/bin/openMVG_main_SfMInit_ImageListing --imageDirectory /home/openMVS_sample/images --sensorWidthDatabase /home/openMVS_sample/sensor_width_camera_database.txt --outputDirectory /home/openMVS_sample/test/matches --focal -1 --intrinsics --camera_model 3 --group_camera_model 1
SfMInit_ImageListing report: listed #File(s): 11 usable #File(s) listed in sfm_data: 11 usable #Intrinsic(s) listed in sfm_data: 0
1. Compute features
You called : /home/openMVG/build/install/bin/openMVG_main_ComputeFeatures --input_file /home/openMVS_sample/test/matches/sfm_data.json --outdir /home/openMVS_sample/test/matches --describerMethod SIFT --upright 0 --describerPreset NORMAL --force 0 --numThreads 4
EXTRACT FEATURES - 0% 10 20 30 40 50 60 70 80 90 100% |----|----|----|----|----|----|----|----|----|----|
Task done in (s): 5
2. Compute matches
You called : /home/openMVG/build/install/bin/openMVG_main_ComputeMatches --input_file /home/openMVS_sample/test/matches/sfm_data.json --out_dir /home/openMVS_sample/test/matches Optional parameters: --force 0 --ratio 0.8 --geometric_model f --video_mode_matching -1 --pair_list --nearest_matching_method AUTO --guided_matching 0 --cache_size unlimited
Regions Loading - 0% 10 20 30 40 50 60 70 80 90 100% |----|----|----|----|----|----|----|----|----|----|
Matching - 0% 10 20 30 40 50 60 70 80 90 100% |----|----|----|----|----|----|----|----|----|----|
Task (Regions Matching) done in (s): 0
Geometric filtering - 0% 10 20 30 40 50 60 70 80 90 100% |----|----|----|----|----|----|----|----|----|----|
Task done in (s): 0
Export Adjacency Matrix of the pairwise's geometric matches
3. Incremental reconstruction
Sequential/Incremental reconstruction Perform incremental SfM (Initial Pair Essential + Resection).
Features Loading - 0% 10 20 30 40 50 60 70 80 90 100% |----|----|----|----|----|----|----|----|----|----|
Track building
Track filtering
Track export to internal struct
Track stats
-- Tracks Stats -- Tracks number: 6256 Images Id: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
TrackLength, Occurrence 2 3019 3 1202 4 644 5 438 6 276 7 253 8 196 9 143 10 79 11 6
There is no defined intrinsic data in order to compute an essential matrix for the initial pair.
4. Colorize Structure
The input SfM_Data file "/home/openMVS_sample/test/reconstruction_sequential/sfm_data.bin" cannot be read.
5. Structure from Known Poses
Compute Structure from the provided poses
The input SfM_Data file "/home/openMVS_sample/test/reconstruction_sequential/sfm_data.bin" cannot be read.
6. Colorized robust triangulation
The input SfM_Data file "/home/openMVS_sample/test/reconstruction_sequential/robust.bin" cannot be read.
7. Export to openMVS
The input SfM_Data file "/home/openMVS_sample/test/reconstruction_sequential/sfm_data.bin" cannot be read.
8. Densify point cloud
18:05:41 [App ] Build date: Jun 20 2019, 17:39:48 18:05:41 [App ] CPU: Intel(R) Core(TM) i5-8300H CPU @ 2.30GHz (8 cores) 18:05:41 [App ] RAM: 15.53GB Physical Memory 14.90GB Virtual Memory 18:05:41 [App ] OS: Linux 4.15.0-20-generic (x86_64) 18:05:41 [App ] SSE & AVX compatible CPU & OS detected 18:05:41 [App ] Command line: scene.mvs -w /home/openMVS_sample/test/mvs terminate called after throwing an instance of 'std::length_error' what(): basic_string::_M_create
9. Reconstruct the mesh
18:05:41 [App ] Build date: Jun 20 2019, 17:39:48 18:05:41 [App ] CPU: Intel(R) Core(TM) i5-8300H CPU @ 2.30GHz (8 cores) 18:05:41 [App ] RAM: 15.53GB Physical Memory 14.90GB Virtual Memory 18:05:41 [App ] OS: Linux 4.15.0-20-generic (x86_64) 18:05:41 [App ] SSE & AVX compatible CPU & OS detected 18:05:41 [App ] Command line: scene_dense.mvs -w /home/openMVS_sample/test/mvs 18:05:41 [App ] MapSMtoCores for SM 6.1 is undefined; default to use 128 cores/SM 18:05:41 [App ] CUDA device 0 initialized: Quadro P600 (compute capability 6.1; memory 3.95GB)
10. Refine the mesh
18:05:41 [App ] Build date: Jun 20 2019, 17:39:48 18:05:41 [App ] CPU: Intel(R) Core(TM) i5-8300H CPU @ 2.30GHz (8 cores) 18:05:41 [App ] RAM: 15.53GB Physical Memory 14.90GB Virtual Memory 18:05:41 [App ] OS: Linux 4.15.0-20-generic (x86_64) 18:05:41 [App ] SSE & AVX compatible CPU & OS detected 18:05:41 [App ] Command line: scene_dense_mesh.mvs -w /home/openMVS_sample/test/mvs 18:05:41 [App ] MapSMtoCores for SM 6.1 is undefined; default to use 128 cores/SM 18:05:41 [App ] CUDA device 0 initialized: Quadro P600 (compute capability 6.1; memory 3.95GB)
11. Texture the mesh
18:05:41 [App ] Build date: Jun 20 2019, 17:39:48 18:05:41 [App ] CPU: Intel(R) Core(TM) i5-8300H CPU @ 2.30GHz (8 cores) 18:05:41 [App ] RAM: 15.53GB Physical Memory 14.90GB Virtual Memory 18:05:41 [App ] OS: Linux 4.15.0-20-generic (x86_64) 18:05:41 [App ] SSE & AVX compatible CPU & OS detected 18:05:41 [App ] Command line: scene_dense_mesh_refine.mvs -w /home/openMVS_sample/test/mvs 18:05:41 [App ] MapSMtoCores for SM 6.1 is undefined; default to use 128 cores/SM 18:05:41 [App ] CUDA device 0 initialized: Quadro P600 (compute capability 6.1; memory 3.95GB)