pmoulon
commented
2 years ago Interface change slightly for OpenMVG V2. Please use the -g option on GeometricFilter binay. Thanks
Open mmcike opened 2 years ago
pmoulon
commented
2 years ago Interface change slightly for OpenMVG V2. Please use the -g option on GeometricFilter binay. Thanks
mmcike
commented
2 years ago Interface change slightly for OpenMVG V2. Please use the -g option on GeometricFilter binay. Thanks
Got it. Thanks.
mmcike
commented
2 years ago It occurs those errors below when I execute "DensifyPointCloud scene.mvs" command in directory of OpenMVS.
20:58:57 [App ] Preparing images for dense reconstruction completed: 66 images (153ms) 20:58:57 [App ] error: reference image 22 has no good images in view 20:58:57 [App ] error: reference image 4 has not enough images in view 20:58:57 [App ] error: reference image 46 has no good images in view 20:58:57 [App ] error: reference image 58 has no good images in view 20:58:57 [App ] error: reference image 2 has not enough images in view 20:58:57 [App ] error: reference image 64 has no good images in view 20:58:57 [App ] error: reference image 10 has no good images in view 20:58:57 [App ] error: reference image 8 has not enough images in view 20:58:57 [App ] error: reference image 52 has no good images in view 20:58:57 [App ] error: reference image 28 has not enough images in view 20:58:57 [App ] error: reference image 40 has not enough images in view 20:58:57 [App ] error: reference image 34 has not enough images in view 20:58:57 [App ] error: reference image 14 has no good images in view 20:58:57 [App ] error: reference image 16 has no good images in view 20:58:57 [App ] Selecting images for dense reconstruction completed: 52 images (1ms)
Please tell me what should I do? Thanks.
pmoulon
commented
2 years ago This is an error related to OpenMVS. Can you first related to your OpenMVG scene and the stats at the end of the SfM process?
mmcike
commented
2 years ago 这是与 OpenMVS 相关的错误。你能先谈谈你的OpenMVG场景和SfM过程结束时的统计数据吗？
print ("1. Intrinsics analysis")
pIntrisics = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_SfMInit_ImageListing"), "-i", input_dir, "-o", matches_dir, "-f", "1", "-c", "7"] )
# pIntrisics = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_SfMInit_ImageListing"), "-i", input_dir, "-o", matches_dir, "-f", "1", "-c", "7", "-d", camera_file_params] )
pIntrisics.wait()
print ("2. Compute features")
pFeatures = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_ComputeFeatures"), "-i", matches_dir+"/sfm_data.json", "-o", matches_dir, "-m", "SIFT", "-f" , "1", "-n", "8"] )
pFeatures.wait()
print ("2. Compute matches")
pMatches = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_ComputeMatches"), "-i", matches_dir+"/sfm_data.json", "-o", matches_dir+"/matches.putative.bin", "-f", "1", "-n", "ANNL2"] )
pMatches.wait()
print ("2. Filter matches" )
pFiltering = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_GeometricFilter"), "-i", matches_dir+"/sfm_data.json", "-m", matches_dir+"/matches.putative.bin" , "-g" , "a", "-o", matches_dir+"/matches.f.bin" ] )
pFiltering.wait()
reconstruction_dir = os.path.join(output_dir,"reconstruction_sequential")
print ("3. Do Incremental/Sequential reconstruction") #set manually the initial pair to avoid the prompt question
pRecons = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_SfM"), "--sfm_engine", "INCREMENTAL", "--input_file", matches_dir+"/sfm_data.json", "--match_dir", matches_dir, "--output_dir", reconstruction_dir] )
pRecons.wait()
pRecons = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_openMVGSpherical2Cubic"), "-i", reconstruction_dir+"/sfm_data.bin", "-o", os.path.join(reconstruction_dir, "cubic")] )
pRecons.wait()
print ("5. Colorize Structure")
pRecons = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_ComputeSfM_DataColor"), "-i", reconstruction_dir+"/sfm_data.bin", "-o", os.path.join(reconstruction_dir,"colorized.ply")] )
pRecons.wait()
print ("4. Structure from Known Poses (robust triangulation)")
pRecons = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_ComputeStructureFromKnownPoses"), "-i", reconstruction_dir+"/sfm_data.bin", "-m", matches_dir, "-o", os.path.join(reconstruction_dir,"robust.ply")] )
pRecons.wait()
# openMVG_main_openMVG2PMVS openMVG_main_openMVG2openMVS
pRecons = subprocess.Popen( [os.path.join(OPENMVG_SFM_BIN, "openMVG_main_openMVG2openMVS"), "-i", os.path.join(reconstruction_dir, "cubic", "sfm_data_perspective.bin"), "-o", os.path.join(reconstruction_dir, "cubic", "scene.mvs"), "-d", os.path.join(reconstruction_dir, "cubic", "openmvs_images")] )
pRecons.wait()Using input dir : C:\Users\dmgz0\Downloads\ReleaseV2.0.Rainbow-Trout.WindowsBinaries_VS2019\360_Flat\images output_dir : C:\Users\dmgz0\Downloads\ReleaseV2.0.Rainbow-Trout.WindowsBinaries_VS2019\tutorial_out
INFO: [main_SfMInit_ImageListing.cpp:478] SfMInit_ImageListing report: listed #File(s): 12 usable #File(s) listed in sfm_data: 11 usable #Intrinsic(s) listed in sfm_data: 1 INFO: [main_ComputeFeatures.cpp:121] You called : ./openMVG_main_ComputeFeatures --input_file C:\Users\dmgz0\Downloads\ReleaseV2.0.Rainbow-Trout.WindowsBinaries_VS2019\tutorial_out\matches/sfm_data.json --outdir C:\Users\dmgz0\Downloads\ReleaseV2.0.Rainbow-Trout.WindowsBinaries_VS2019\tutorial_out\matches --describerMethod SIFT --upright 0 --describerPreset NORMAL --force 1 --numThreads 8
Node degree statistics: min: 10, max: 10, mean: 10, median: 10 'neato' �����ڲ����ⲿ���Ҳ���ǿ����еij��� ���������ļ���
Node degree statistics: min: 9, max: 10, mean: 9, median: 10 INFO: [main_GeometricFilter.cpp:376] Task done in (s): 0 INFO: [main_GeometricFilter.cpp:379] Export Adjacency Matrix of the pairwise's geometric matches 'neato' �����ڲ����ⲿ���Ҳ���ǿ����еij��� ���������ļ���
TrackLength, Occurrence 2 2806 3 1199 4 591 5 363 6 190 7 124 8 80 9 43 10 36 11 58
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] 60% INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 70% INFO: [loggerprogress.hpp:79] [Selection of an initial pair] 100% INFO: [sequential_SfM.cpp:495] Putative starting pair info: index:(0,10) view basename:(R0010210,R0010220) INFO: [sequential_SfM.cpp:538] Relative pose a-contrario upper_bound residual is: 12.4384 INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
MSE Residual InitialPair Inlier:
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
Used motion prior: 0 INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
Used motion prior: 0 INFO: [sfm_data_BA_ceres.cpp:496] Bundle Adjustment statistics (approximated RMSE):
Histogram of residuals: 0 | 7899 0.397 | 11706 0.794 | 3953 1.19 | 1608 1.59 | 742 1.98 | 425 2.38 | 194 2.78 | 115 3.18 | 49 3.57 | 24 3.97
INFO: [main_SfM.cpp:549] Total Sfm took (s): 1 INFO: [main_SfM.cpp:551] ...Generating SfM_Report.html INFO: [main_SfM.cpp:556] ...Export SfM_Data to disk. INFO: [main_openMVGSpherical2Cubic.cpp:63] force_recompute_images = 1 INFO: [loggerprogress.hpp:79] [Generating cubic views:] 100% size_cubic_images = 1024 INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 10% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 20% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 30% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 40% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 50% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 60% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 70% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 80% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 90% INFO: [loggerprogress.hpp:79] [Creating cubic sfm_data structure:] 100% INFO: [main_openMVGSpherical2Cubic.cpp:276] #views: 66
INFO: [loggerprogress.hpp:79] [- Regions Loading -] 100% INFO: [main_ComputeStructureFromKnownPoses.cpp:300] Robust triangulation of the tracks: [Triangulation of guided epipolar geometry matches] INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 20% INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 30% INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 50% INFO: [loggerprogress.hpp:79] [- PROCESS VIEWS -] 70% 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 ] 30% INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 50% INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 70% INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 80% INFO: [loggerprogress.hpp:79] [- UNDISTORT IMAGES ] 100% INFO: [main_openMVG2openMVS.cpp:236] Scene saved to OpenMVS interface format:
INFO: [main_openMVG2openMVS.cpp:241] platform ( 0 ) #cameras: 1 INFO: [main_openMVG2openMVS.cpp:243] 66 images (66 calibrated) 4458 Landmarks
Process finished with exit code 0
openMVG_main_ComputeMatches -i $dataset_out/matches/sfm_data.json -o $dataset_out/matches -g aINFO: [main_ComputeMatches.cpp:110] Unrecognized option -git occurs a info when i execute this line. 2.openMVG_main_SfM -i $dataset_out/matches/sfm_data.json -m $dataset_out/matches -o $dataset_out/reconstructionERROR: [main_SfM.cpp:409] Cannot load the match file.How should i do? I run it on windows11.