openMVS
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cdcseacave
bool MVS::DepthMapsData::InitViews(MVS::DepthData&, MVS::IIndex, MVS::IIndex, bool, int): Assertion `viewRef.image.size() == view.depthMap.size()' failed.
Describe the bug
Hello I am trying to run DensifyPointCloud scene.mvs after running openMVG_main_openMVG2openMVS -i path/to//sfm_data_perspective.bin -o path/to/scene.mvs -n 10 on 360_Flat dataset I get this wierd error:
openMVS/libs/MVS/SceneDensify.cpp:392: bool MVS::DepthMapsData::InitViews(MVS::DepthData&, MVS::IIndex, MVS::IIndex, bool, int): Assertion 'viewRef.image.size() == view.depthMap.size()' failed.
and the log file last message is:
16:10:16 [App ] error: opening file 'depth0037.dmap' for reading depth-data
and I can't find any information about image 0037 in the generated data from DensifyPointCloud scene.mvs
This is the whole log:
16:09:37 [App ] OpenMVS x64 v2.2.0
16:09:37 [App ] Build date: Aug 13 2023, 13:47:53
16:09:37 [App ] CPU: 12th Gen Intel(R) Core(TM) i7-12700H (20 cores)
16:09:37 [App ] RAM: 15.34GB Physical Memory 2.00GB Virtual Memory
16:09:37 [App ] OS: Linux 6.2.0-26-generic (x86_64)
16:09:37 [App ] Disk: 325.44GB (467.89GB) space
16:09:37 [App ] SSE & AVX compatible CPU & OS detected
16:09:37 [App ] Command line: DensifyPointCloud scene.mvs --fusion-mode 1
16:09:37 [App ] MapSMtoCores for SM 8.6 is undefined; default to use 64 cores/SM
16:09:37 [App ] CUDA device 0 initialized: NVIDIA GeForce RTX 3050 Ti Laptop GPU (compute capability 8.6; memory 3.81GB)
16:09:37 [App ] Camera model loaded: platform 0; camera 0; f 0.500x0.500; poses 66
16:09:37 [App ] Image loaded 0: R0010213_perspective_00000004.png
16:09:37 [App ] Image loaded 1: R0010211_perspective_00000005.png
16:09:37 [App ] Image loaded 2: R0010212_perspective_00000005.png
16:09:37 [App ] Image loaded 3: R0010217_perspective_00000005.png
16:09:37 [App ] Image loaded 4: R0010214_perspective_00000005.png
16:09:37 [App ] Image loaded 5: R0010215_perspective_00000003.png
16:09:37 [App ] Image loaded 6: R0010218_perspective_00000003.png
16:09:37 [App ] Image loaded 7: R0010216_perspective_00000001.png
16:09:37 [App ] Image loaded 8: R0010211_perspective_00000002.png
16:09:37 [App ] Image loaded 9: R0010212_perspective_00000000.png
16:09:37 [App ] Image loaded 10: R0010217_perspective_00000000.png
16:09:37 [App ] Image loaded 11: R0010212_perspective_00000001.png
16:09:37 [App ] Image loaded 12: R0010216_perspective_00000000.png
16:09:37 [App ] Image loaded 13: R0010211_perspective_00000001.png
16:09:37 [App ] Image loaded 14: R0010210_perspective_00000002.png
16:09:37 [App ] Image loaded 15: R0010220_perspective_00000001.png
16:09:37 [App ] Image loaded 16: R0010220_perspective_00000000.png
16:09:37 [App ] Image loaded 17: R0010210_perspective_00000001.png
16:09:37 [App ] Image loaded 18: R0010216_perspective_00000002.png
16:09:37 [App ] Image loaded 19: R0010210_perspective_00000003.png
16:09:37 [App ] Image loaded 20: R0010220_perspective_00000002.png
16:09:37 [App ] Image loaded 21: R0010215_perspective_00000005.png
16:09:37 [App ] Image loaded 22: R0010214_perspective_00000000.png
16:09:37 [App ] Image loaded 23: R0010218_perspective_00000005.png
16:09:37 [App ] Image loaded 24: R0010215_perspective_00000000.png
16:09:37 [App ] Image loaded 25: R0010219_perspective_00000005.png
16:09:37 [App ] Image loaded 26: R0010210_perspective_00000000.png
16:09:37 [App ] Image loaded 27: R0010218_perspective_00000001.png
16:09:37 [App ] Image loaded 28: R0010215_perspective_00000004.png
16:09:37 [App ] Image loaded 29: R0010213_perspective_00000005.png
16:09:37 [App ] Image loaded 30: R0010218_perspective_00000004.png
16:09:37 [App ] Image loaded 31: R0010216_perspective_00000003.png
16:09:37 [App ] Image loaded 32: R0010219_perspective_00000004.png
16:09:37 [App ] Image loaded 33: R0010214_perspective_00000002.png
16:09:37 [App ] Image loaded 34: R0010219_perspective_00000001.png
16:09:37 [App ] Image loaded 35: R0010217_perspective_00000002.png
16:09:37 [App ] Image loaded 36: R0010211_perspective_00000000.png
16:09:37 [App ] Image loaded 37: R0010220_perspective_00000005.png
16:09:37 [App ] Image loaded 38: R0010213_perspective_00000001.png
16:09:37 [App ] Image loaded 39: R0010218_perspective_00000000.png
16:09:37 [App ] Image loaded 40: R0010213_perspective_00000000.png
16:09:37 [App ] Image loaded 41: R0010214_perspective_00000001.png
16:09:37 [App ] Image loaded 42: R0010219_perspective_00000000.png
16:09:37 [App ] Image loaded 43: R0010212_perspective_00000002.png
16:09:37 [App ] Image loaded 44: R0010217_perspective_00000001.png
16:09:37 [App ] Image loaded 45: R0010215_perspective_00000001.png
16:09:37 [App ] Image loaded 46: R0010220_perspective_00000003.png
16:09:37 [App ] Image loaded 47: R0010210_perspective_00000004.png
16:09:37 [App ] Image loaded 48: R0010217_perspective_00000003.png
16:09:37 [App ] Image loaded 49: R0010214_perspective_00000003.png
16:09:37 [App ] Image loaded 50: R0010216_perspective_00000004.png
16:09:37 [App ] Image loaded 51: R0010212_perspective_00000003.png
16:09:37 [App ] Image loaded 52: R0010211_perspective_00000003.png
16:09:37 [App ] Image loaded 53: R0010220_perspective_00000004.png
16:09:37 [App ] Image loaded 54: R0010210_perspective_00000005.png
16:09:37 [App ] Image loaded 55: R0010213_perspective_00000002.png
16:09:37 [App ] Image loaded 56: R0010219_perspective_00000002.png
16:09:37 [App ] Image loaded 57: R0010218_perspective_00000002.png
16:09:37 [App ] Image loaded 58: R0010215_perspective_00000002.png
16:09:37 [App ] Image loaded 59: R0010214_perspective_00000004.png
16:09:37 [App ] Image loaded 60: R0010217_perspective_00000004.png
16:09:37 [App ] Image loaded 61: R0010212_perspective_00000004.png
16:09:37 [App ] Image loaded 62: R0010211_perspective_00000004.png
16:09:37 [App ] Image loaded 63: R0010216_perspective_00000005.png
16:09:37 [App ] Image loaded 64: R0010213_perspective_00000003.png
16:09:37 [App ] Image loaded 65: R0010219_perspective_00000003.png
16:09:37 [App ] Scene loaded from interface format (67ms):
66 images (66 calibrated) with a total of 293.66 MPixels (4.45 MPixels/image)
2927 points, 0 vertices, 0 faces
16:09:37 [App ] The camera positions median is (5.098753,0.291589,-0.231578), directions mean and norm are (0.000000,0.000000,0.000000), 0.000000
16:09:37 [App ] Found a camera not pointing towards the scene center; the scene will be considered unbounded (no ROI)
16:09:37 [App ] error: does not seem to be a tower: X(0.03), Y(0.67), Z(407.76)
16:09:37 [App ] Point-cloud composed of 2927 points with:
- visibility info (8436 views - 2.88 views/point):
0 points with 1- views (0.00%)
1634 points with 2 views (55.83%)
674 points with 3 views (23.03%)
619 points with 4+ views (21.15%)
2 min / 2.88213 mean (1.36709 std) / 11 max
16:09:37 [App ] K30 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K51 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K60 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K42 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K8 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K36 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K24 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K16 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K48 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K12 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K39 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K33 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K45 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K57 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K0 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K20 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K27 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K54 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K63 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K4 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K9 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K61 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K31 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K49 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K52 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K43 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K40 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K58 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K58 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K34 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K46 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K37 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K13 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K17 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K25 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K55 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K5 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K5 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K1 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K21 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K50 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K10 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K32 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K32 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K59 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K53 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K47 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K41 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K44 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K14 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K29 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K38 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K18 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K22 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K35 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K26 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K56 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K2 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K65 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K6 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K11 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K15 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K19 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K7 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K3 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] K23 =
540.0000 0.0000 539.7500
0.0000 540.0000 539.7500
0.0000 0.0000 1.0000
16:09:37 [App ] Preparing images for dense reconstruction completed: 66 images (496ms)
16:09:37 [App ] Reference image 58 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 59 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 8 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 28 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 28 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 44 sees 10 views: 45(42pts,1.20scl) 41(29pts,1.19scl) 7(49pts,1.08scl) 38(22pts,1.22scl) 13(17pts,1.30scl) 34(43pts,0.93scl) 15(32pts,0.87scl) 17(11pts,1.38scl) 27(45pts,0.97scl) 11(8pts,1.31scl) (84 shared points)16:09:37 [App ] Reference image 23 sees 10 views: 3(127pts,1.00scl) 25(95pts,1.00scl) 63(33pts,0.99scl) 46(30pts,1.14scl) 37(22pts,1.00scl) 42(8pts,1.04scl) 21(9pts,0.98scl) 16(6pts,1.05scl) 1(7pts,0.94scl) 4(3pts,0.97scl) (225 shared points)
\0016:09:37 [App ] Reference image 38 sees 16 views: 13(60pts,1.16scl) 17(41pts,1.27scl) 11(66pts,1.07scl) 41(80pts,0.93scl) 7(40pts,0.87scl) 21(22pts,0.91scl) 27(26pts,0.82scl) 4(27pts,0.94scl) 44(22pts,0.82scl) 34(18pts,0.80scl) 45(22pts,0.94scl) 15(14pts,0.74scl) 63(10pts,0.92scl) 24(6pts,0.90scl)16:09:37 [App ] Reference image 2 sees 10 views: 29(153pts,1.02scl) 1(126pts,1.00scl) 17(60pts,1.22scl) 4(54pts,1.02scl) 54(32pts,0.99scl) 13(54pts,1.09scl) 21(18pts,1.03scl) 22(4pts,1.05scl) 40(3pts,1.05scl) 24(3pts,1.09scl) (267 shared points16:09:37 [App ] Reference image 2 sees 10 views: 29(153pts,1.02scl) 1(126pts,1.00scl) 17(60pts,1.22scl) 4(54pts,1.02scl) 54(32pts,0.99scl) 13(54pts,1.09scl) 21(18pts,1.03scl) 22(4pts,1.05scl) 40(3pts,1.05scl) 24(3pts,1.09scl) (267 shared points)
\0015(14pts,0.74scl)16:09:37 [App ] Reference image 42 sees 15 views: 10(152pts,0.94scl) 316:09:37 [App ] Reference image 40 sees 13 views: 22(227pts,1.02scl) 24(117pts,1.05scl) 9(157pts,1.02scl) 36(98pts,1.01scl) 12(80pts,1.06scl) 26(57pts,1.00scl) 10(49pts,1.07scl) 39(44pts,1.08scl) 17(14pts,1.21scl) 42(31pts,1.09scl) 13(9pts,1.16sc16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.98s16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.98scl) 4(8pts,0.94scl) 41(5pts,1.01scl) 38(4pts,1.06scl) 17(5pts,1.22scl) 29(5pts,0.94scl) 13(3pts,1.16scl) (424 shared points)
16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.98scl) 4(8pts,0.94scl) 41(5pts,1.01scl) 38(4pts,1.06scl) 17(5pts,1.22scl) 29(5pts,0.94scl) 13(3pts,1.16scl) 16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.98s16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 116:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.98scl) 4(8pts,0.94scl) 41(5pts,1.01scl) 38(4pts,1.06scl) 17(5pts,1.22scl) 29(5pts,0.94scl) 16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.98scl) 4(8pts,0.94scl) 41(5pts,1.01scl) 38(4pts,1.06scl) 17(5pts,1.22scl) 29(5pts,0.94scl) 13(3pts,1.16scl) (424 shared points)
\001(10pts,0.70scl) 16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.98scl) 4(8pts,0.94scl) 41(5pts,1.01scl) 38(4pts,1.06scl) 17(5pts,1.22scl) 29(5pts,0.94scl) 13(3pts,1.16scl) (424 shared points)
\001(10pts,0.70scl) 15(6pts,0.67scl) 10(5pts,0.86scl) 12(5pts,0.84scl) 39(3pts,0.95scl) (279 shared points)
16:09:37 [App ] Reference image 12 sees 17 views: 39(183pts,1.05scl) 10(291pts,1.03scl) 22(160pts,0.96scl) 24(250pts,0.97scl) 42(106pts,1.08scl) 40(80pts,0.94scl) 16(67pts,1.08scl) 9(28pts,0.96scl) 36(25pts,0.98scl) 21(9pts,0.97scl) 26(15pts,0.98scl) 4(8pts,0.94scl) 41(5pts,1.01scl) 38(4pts,1.06scl) 16:09:37 [App ] error: reference image 62 has not enough images in view
16:09:37 [App ] error: reference image 59 has not enough images in view
16:09:37 [App ] error: reference image 59 has not enough images in view
16:09:37 [App ] Reference image 45 sees 10 views: 44(42pts,0.84scl) 34(23pts,0.83scl) 7(45pts,0.91scl) 41(34pts,1.04scl) 27(28pts,0.86scl) 15(17pts,0.78scl) 13(12pts,1.12scl) 38(22pts,1.06scl) 17(10pts,1.19scl) 11(11pts,1.08scl) (76 shared points)
16:09:37 [App ] Reference image 61 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 56 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 6 sees 11 views: 63(7pts,0.88scl)16:09:37 [App ] Reference image 6 sees 11 views: 63(7pts,0.88scl) 46(13pts,1.09scl) 48(15pts,0.96scl) 31(11pts,0.95scl)16:09:37 [App ] Reference image 6 sees 11 views: 63(7pts,0.88scl) 46(13pts,1.09scl) 48(15pts,0.96scl) 31(11pts,0.95scl) 64(11pts,0.86scl) 49(10pts,0.89scl) 65(10pts,1.01scl) 52(8pts,0.81scl) 19(8pts,0.78scl) 5(9pts,0.93scl) 51(5pts,0.90scl) (16:09:37 [App ] Reference image 54 sees 6 views: 1(169pts,1.01scl) 2(32pts,1.01scl) 36(6pts,1.02scl) 9(4pts,1.02scl) 29(6pts,1.02scl) 4(3pts,1.03scl) (176 shared points)
16:09:37 [App ] Reference image 54 sees 6 views: 1(169pts,1.01scl) 2(32pts,1.01scl) 36(6pts,1.02scl) 9(4pts,1.02scl) 29(6pts,1.02scl) 4(3pts,1.03scl) (176 shared points)
\00 52(8pts,0.81scl) 19(8pts,0.78scl) 5(9pts,0.93scl) 51(5pts,0.90scl) (31 shared points)
16:09:37 [App ] Reference image 15 sees 9 views: 7(27pts,1.19scl) 44(32pts,1.14scl) 27(49pts,1.11scl) 34(66pts,1.07scl) 45(17pts,1.28scl) 41(13pts,1.31scl) 38(14pts,1.35scl) 13(7pts,1.40scl) 17(6pts,1.49scl) (68 shared points)
16:09:37 [App ] Reference image 41 sees 15 views: 38(80pts,1.08scl) 13(35pts,1.13scl) 17(25pts,1.18scl) 44(29pts,0.84scl) 11(33pts,1.09scl) 7(38pts,0.90scl) 27(23pts,0.84scl) 34(17pts,0.82scl) 45(34pts,0.96scl) 21(21pts,0.96scl) 15(13pts,0.76scl) 63(8pts,0.98scl) 12(5pts,0.99scl) 24(7pts,0.95scl) 3(3pts,1.02scl) (128 shared points)
16:09:37 [App ] Reference image 3 sees 11 views: 63(128pts,0.99scl) 23(127pts,1.00scl) 21(33pts,0.98scl) 39(24pts,1.05scl) 42(15pts,1.13scl) 25(15pts,1.00scl) 46(8pts,1.22scl) 4(13pts,0.97scl) 16(8pts,1.17scl) 41(3pts,0.98scl) 29(4pts,0.97scl) (245 shared points)
16:09:37 [App ] Reference image 36 sees 12 views: 9(190pts,1.01scl) 26(192pts,0.98scl) 40(98pts,0.99scl) 22(60pts,0.99scl) 24(23pts,1.01scl) 12(25pts,1.02scl) 17(33pts,1.06scl) 54(6pts,0.98scl) 10(14pts,1.00scl) 39(14pts,1.00scl) 16(10pts,1.00scl) 42(10pts,0.98scl) (312 shared points)
16:09:37 [App ] Reference image 36 sees 12 views: 9(190pts,1.01scl) 26(192pts,0.98scl) 40(98pts,0.99scl) 22(60pts,0.99scl) 24(23pts,1.01scl) 12(25pts,1.02scl) 17(33pts,1.06scl) 54(6pts,0.98scl) 10(14pts,1.00scl) 39(14pts,1.00scl) 16(10pts,1.00scl) 42(10pts,0.98scl) (312 shared points)
16:09:37 [App ] Reference image 4 sees 16 views: 29(215pts,0.99scl) 21(185pts,1.01scl) 63(49pts,1.02scl) 2(54pts,0.98scl) 11(45pts,1.10scl) 13(44pts,1.24scl) 38(27pts,1.07scl) 17(29pts,1.42scl) 3(13pts,1.03scl) 12(8pts,1.06scl) 1(13pts,0.97scl) 24(12pts,1.03scl) 10(10pts,1.08scl) 39(3pts,1.15scl) 23(3pts,1.03scl) 54(3pts,0.97scl) (357 shared points)
16:09:37 [App ] Reference image 55 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 34 sees 9 views: 7(34pts,1.12scl)16:09:37 [App ] Reference image 34 sees 9 views: 7(34pts,1.12scl)16:09:37 [App ] Reference image 34 sees 9 views: 7(34pts,1.12scl)16:09:37 [App ] Reference image 34 sees 9 views: 7(34pts,1.12scl) 45(23pts,1.21scl) 41(17pts,1.22scl) 38(18pts,1.26scl) 44(43pts,1.07scl) 27(63pts,1.04scl) 15(66pts,0.93scl) 13(11pts,1.30scl) 17(7pts,1.39scl) (87 shared points)
\00 (53 shared points)
16:09:37 [App ] Reference image 34 sees 9 views: 7(34pts,1.12scl) 45(23pts,1.21scl) 41(17pts,1.22scl) 38(18pts,1.26scl) 44(43pts,1.07scl) 27(63pts,1.04scl) 15(66pts,0.93scl) 13(11pts,1.30scl) 17(7pts,1.39scl) (87 shared points)
16:09:37 [App ] Reference image 10 sees 15 views: 12(291pts,0.97scl) 39(290pts,1.03scl) 42(152pts,1.07scl) 24(137pts,0.94scl) 16(86pts,1.08scl) 22(101pts,0.94scl) 40(49pts,0.93scl) 63(18pts,0.97scl) 21(12pts,0.96scl) 36(14pts,1.00scl) 9(14pts,0.97scl) 4(10pts,0.93scl) 26(10pts,1.00scl) 17(5pts,1.19scl) 29(4pts,0.90scl) (427 shared points)
16:09:37 [App ] error: reference image 61 has not enough images in view
16:09:37 [App ] error: reference image 14 has not enough images in view
16:09:37 [App ] Reference image 60 sees 0 views: (1 shared points)
\00iew
16:09:37 [App ] Reference image 60 sees 0 views: (1 shared points)
16:09:37 [App ] Reference image 60 sees 0 views: (1 shared points)
16:09:37 [App ] Reference image 7 sees 10 views: 38(40pts,1.15scl) 13(20pts,1.20scl) 34(34pts,0.89scl) 41(38pts,1.12scl) 17(17pts,1.29scl) 44(49pts,0.93scl) 15(27pts,0.84scl) 45(45pts,1.10scl) 27(40pts,0.93scl) 11(13pts,1.17scl) (84 shared points)
16:09:37 [App ] Reference image 19 sees 10 views: 31(28pts,1.43scl) 48(20pts,1.49scl) 49(36pts,1.29scl) 64(38pts,1.25scl) 52(40pts,1.10scl) 51(23pts,1.18scl) 5(18pts,1.24scl) 65(9pts,1.33scl) 46(8pts,1.35scl) 6(8pts,1.32scl) (49 shared points)
16:09:37 [App ] Reference image 19 sees 10 views: 31(28pts,1.43scl) 48(20pts,1.49scl) 49(36pts,1.29scl) 64(38pts,1.25scl) 52(40pts,1.10scl) 51(23pts,1.18scl) 5(18pts,1.24scl) 65(9pts,1.33scl) 46(8pts,1.35scl) 6(8pts,1.32scl) (49 shared points)
16:09:37 [App ] Reference image 16 sees 14 views: 39(146pts,0.94scl) 42(210pts,0.98scl) 10(86pts,0.93scl) 12(67pts,0.93scl) 22(37pts,0.92scl) 24(23pts,0.89scl) 3(8pts,0.86scl) 40(22pts,0.92scl) 23(6pts,0.95scl) 25(6pts,0.98scl) 63(5pts,0.81scl) 36(10pts,1.01scl) 26(6pts,1.02scl) 9(4pts,0.93scl) (233 shared points)
16:09:37 [App ] error: reference image 32 has not enough images in view
16:09:37 [App ] error: reference image 35 has not enough images in view
16:09:37 [App ] error: reference image 55 has not enough images in view
16:09:37 [App ] Reference image 50 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 21 sees 16 views: 4(185pts,0.99scl) 616:09:37 [App ] Reference image 21 sees 16 views: 4(185pts,0.99scl) 63(147pts,1.01scl) 29(68pts,0.98scl) 3(33pts,1.02scl) 38(22pts,1.10scl) 11(25pts,1.12scl) 41(21pts,1.05scl) 10(12pts,1.04scl) 12(9pts,1.03scl) 2(18pts,0.97scl) 13(15pts,1.29scl) 23(9pts,1.02scl) 17(10pts,1.46scl) 39(6pts,1.09scl) 1(4pts,0.96scl) 42(4pts,1.15scl) 16:09:37 [App ] Reference image 21 sees 16 views: 4(185pts,0.99scl) 63(147pts,1.01scl) 29(68pts,0.98scl) 3(33pts,1.02scl) 38(22pts,1.10scl) 11(25pts,1.12scl) 41(21pts,1.05scl) 10(12pts,1.04scl) 12(9pts,1.03scl) 2(18pts,0.97scl) 13(15pts,1.29scl) 23(9pts,1.02scl) 17(10pts,1.46scl) 39(6pts,1.09scl) 1(4pts,0.96scl) 42(4pts,1.15scl) (319 shared p16:09:37 [App ] Reference image 21 sees 16 views: 4(185pts,0.99scl) 63(147pts,1.01scl) 29(68pts,0.98scl) 3(33pts,1.02scl) 38(22pts,1.10scl) 11(25pts,1.12scl) 41(21pts,1.05scl) 10(12pts,1.04scl) 12(9pts,1.03scl) 2(18pts,0.97scl) 13(15pts,1.29scl) 23(9pts,1.02scl) 17(10pts,1.46scl) 39(6pts,1.09scl) 1(4pts,0.96scl) 42(4pts,1.15scl) (319 shared points)
16:09:37 [App ] error: reference image 60 has not enough images in view
16:09:37 [App ] error: reference image 60 has not enough images in view
16:09:37 [App ] Reference image 22 sees 16 views: 12(160pts,1.05scl) 24(252pts,1.02scl) 40(227pts,0.98scl) 9(87pts,1.00scl) 10(101pts,1.07scl) 36(60pts,1.02scl) 39(85pts,1.08scl) 26(36pts,1.00scl) 42(54pts,1.10scl) 16(37pts,1.09scl) 17(15pts,1.22scl) 13(10pts,1.17scl) 29(9pts,0.97scl) 2(4pts,0.95scl) 11(3pts,1.16scl) 38(4pts,1.06scl) (383 shared points)
16:09:37 [App ] Reference image 39 sees 16 views: 12(183pts,0.95scl) 116:09:37 [App ] Reference image 39 sees 16 views: 12(183pts,0.95sc16:09:37 [App ] Reference image 39 sees 16 views: 12(183pts,0.95sc16:09:37 [App ] Reference image 39 sees 16 views: 12(183pts,0.95scl) 10(290pts,0.97scl) 16(146pts,1.06scl) 42(266pts,1.04scl) 24(92pts,0.92scl) 22(85pts,0.93scl) 40(44pts,0.93scl) 63(19pts,0.92scl) 3(24pts,0.95scl) 36(14pts,1.01scl) 21(6pts,0.9216:09:37 [App ] Reference image 39 sees 16 views: 12(183pts,0.95scl) 10(290pts,0.97scl) 16(146pts,1.06scl) 42(266pts,1.04scl) 24(92pts,0.92scl) 22(85pts,0.93scl) 40(44pts,0.93scl) 63(19pts,0.92scl) 3(24pts,0.95scl) 36(14pts,1.01scl) 21(6pts,0.9216:09:37 [App ] Reference image 39 sees 16 views: 12(183pts,0.95scl) 10(290pts,0.97scl) 16(146pts,1.06scl) 42(266pts,1.04scl) 24(92pts,0.92scl) 22(85pts,0.93scl) 40(44pts,0.93scl) 63(19pts,0.92scl) 3(24pts,0.95scl) 36(14pts,1.01scl) 21(6pts,0.92scl) 9(11pts,0.96scl) 46(3pts,1.20scl) 26(8pts,1.01scl) 4(3pts,0.87scl) 17(3pts,1.06scl) (432 shared points)
16:09:37 [App ] error: reference image 50 has not enough images in view
16:09:37 [App ] Reference image 47 sees 0 views: (0 shared points)
16:09:37 [App ] Reference image 64 sees 10 views: 49(45pts,1.05scl16:09:37 [App ] Reference image 64 sees 10 views: 49(45pts,1.05scl16:09:37 [App ] Reference image 64 sees 10 views: 49(45pts,1.05scl) 52(56pts,0.87scl) 31(36pts,1.18scl) 19(38pts,0.81scl) 48(22pts,1.21scl) 5(19pts,1.06scl) 65(12pts,1.15scl) 6(11pts,1.17scl) 51(22pts,0.96scl) 46(10pts,1.16scl) (65 shared points)
16:09:37 [App ] error: reference image 18 has not enough images in view
16:09:37 [App ] error: reference image 43 has not enough images in view
16:09:37 [App ] Reference image 30 sees 0 views: (1 shared points)
16:09:37 [App ] Reference image 30 sees 0 views: (1 shared points)
16:09:37 [App ] Reference image 63 sees 13 views: 21(147pts,0.99scl) 3(128pts,1.01scl) 4(49pts,0.98scl) 23(33pts,1.01scl) 39(19pts,1.09scl) 10(18pts,1.03scl) 29(17pts,0.98scl) 6(7pts,1.15scl) 41(8pts,1.02scl) 42(11pts,1.16scl) 38(10pts,1.10scl) 16(5pts,1.24scl) 11(5pts,1.18scl) (279 shared points)
16:09:37 [App ] error: reference image 53 has not enough images in view
16:09:37 [App ] error: reference image 20 has not enough images in view
16:09:37 [App ] error: reference image 20 has not enough images in view
16:09:37 [App ] error: reference image 30 has not enough images in view
16:09:37 [App ] error: reference image 0 has not enough images in view
16:09:37 [App ] Reference image 9 sees 14 views: 36(190pts,0.99scl) 26(109pts,0.98scl) 40(157pts,0.98scl) 22(87pts,1.00scl) 24(48pts,1.02scl) 17(32pts,1.15scl) 12(28pts,1.04scl) 13(23pts,1.06scl) 10(14pts,1.03scl) 29(7pts,0.98scl) 54(4pts,0.98scl) 39(11pts,1.05scl) 42(8pts,1.09scl) 16(4pts,1.09scl) (300 shared points)
16:09:37 [App ] Selecting images for dense reconstruction completed: 44 images (11ms)
16:09:37 [App ] Reference image 12 paired with 7 views: 39(1.05scl) 10(1.03scl) 22(0.96scl) 24(0.97scl) 42(1.08scl) 40(0.94scl) 16(1.08scl) (424 shared points)
16:09:37 [App ] Depth-map 12 roughly estimated from 424 sparse points: 1080x1080 (8ms)
16:09:37 [App ] Reference image 54 paired with 1 views: 1(1.01scl) (176 shared points)
16:09:37 [App ] Depth-map 54 roughly estimated from 176 sparse points: 1080x1080 (6ms)
16:09:39 [App ] Depth-map for image 12 estimated using 7 images: 1080x1080 (1s325ms)
16:09:39 [App ] depth range: [0.858435, 11.271]
16:09:39 [App ] confidence range: [0.651851, 1.08795]
16:09:40 [App ] Depth-map for image 54 with image 1 estimated: 1080x1080 (842ms)
16:09:40 [App ] Reference image 16 paired with 4 views: 39(0.94scl) 42(0.98scl) 10(0.93scl) 12(0.93scl) (233 shared points)
16:09:40 [App ] depth range: [2.50286, 4.41227]
16:09:40 [App ] Depth-map 16 roughly estimated from 233 sparse points: 1080x1080 (3ms)
16:09:40 [App ] confidence range: [0.671355, 1.10775]
16:09:40 [App ] Reference image 27 paired with 0 views: (79 shared points)
16:09:40 [App ] Reference image 22 paired with 7 views: 12(1.05scl) 24(1.02scl) 40(0.98scl) 9(1.00scl) 10(1.07scl) 36(1.02scl) 39(1.08scl) (383 shared points)
16:09:40 [App ] Depth-map 22 roughly estimated from 383 sparse points: 1080x1080 (7ms)
16:09:41 [App ] Depth-map for image 16 estimated using 4 images: 1080x1080 (1s71ms)
16:09:41 [App ] depth range: [0.992059, 12.2984]
16:09:41 [App ] confidence range: [0.66687, 1.11009]
16:09:41 [App ] Reference image 51 paired with 0 views: (32 shared points)
16:09:41 [App ] Reference image 44 paired with 0 views: (84 shared points)
16:09:42 [App ] Reference image 63 paired with 3 views: 21(0.99scl) 3(1.01scl) 4(0.98scl) (279 shared points)
16:09:42 [App ] Depth-map 63 roughly estimated from 279 sparse points: 1080x1080 (3ms)
16:09:42 [App ] Depth-map for image 22 estimated using 7 images: 1080x1080 (1s284ms)
16:09:42 [App ] depth range: [0.889869, 10.545]
16:09:42 [App ] confidence range: [0.610449, 1.10913]
16:09:43 [App ] Reference image 42 paired with 4 views: 10(0.94scl) 39(0.96scl) 16(1.02scl) 12(0.93scl) (357 shared points)
16:09:43 [App ] Depth-map 42 roughly estimated from 357 sparse points: 1080x1080 (4ms)
16:09:43 [App ] Depth-map for image 63 estimated using 3 images: 1080x1080 (996ms)
16:09:43 [App ] depth range: [0.816351, 16.8451]
16:09:43 [App ] confidence range: [0.433879, 1.18891]
16:09:44 [App ] Reference image 4 paired with 6 views: 29(0.99scl) 21(1.01scl) 63(1.02scl) 2(0.98scl) 11(1.10scl) 13(1.24scl) (357 shared points)
16:09:44 [App ] Depth-map 4 roughly estimated from 357 sparse points: 1080x1080 (7ms)
16:09:44 [App ] Depth-map for image 42 estimated using 4 images: 1080x1080 (1s75ms)
16:09:44 [App ] depth range: [0.792989, 16.4244]
16:09:44 [App ] confidence range: [0.653977, 1.10853]
16:09:45 [App ] Reference image 39 paired with 6 views: 12(0.95scl) 10(0.97scl) 16(1.06scl) 42(1.04scl) 24(0.92scl) 22(0.93scl) (432 shared points)
16:09:45 [App ] Depth-map 39 roughly estimated from 432 sparse points: 1080x1080 (5ms)
16:09:45 [App ] Depth-map for image 4 estimated using 6 images: 1080x1080 (1s149ms)
16:09:45 [App ] depth range: [2.28202, 4.65598]
16:09:46 [App ] confidence range: [0.1, 1.3249]
16:09:46 [App ] Reference image 41 paired with 0 views: (128 shared points)
16:09:46 [App ] Reference image 24 paired with 7 views: 12(1.03scl) 22(0.98scl) 10(1.06scl) 40(0.96scl) 39(1.09scl) 9(0.99scl) 42(1.12scl) (384 shared points)
16:09:46 [App ] Depth-map 24 roughly estimated from 384 sparse points: 1080x1080 (7ms)
16:09:46 [App ] Depth-map for image 39 estimated using 6 images: 1080x1080 (1s202ms)
16:09:46 [App ] depth range: [0.32501, 11.8405]
16:09:47 [App ] confidence range: [0.630497, 1.11153]
16:09:47 [App ] Reference image 36 paired with 4 views: 9(1.01scl) 26(0.98scl) 40(0.99scl) 22(0.99scl) (312 shared points)
16:09:47 [App ] Depth-map 36 roughly estimated from 312 sparse points: 1080x1080 (3ms)
16:09:48 [App ] Depth-map for image 24 estimated using 7 images: 1080x1080 (1s312ms)
16:09:48 [App ] depth range: [0.84408, 16.5432]
16:09:48 [App ] confidence range: [0.617259, 1.10825]
16:09:49 [App ] Reference image 29 paired with 5 views: 4(1.01scl) 2(0.98scl) 21(1.02scl) 13(1.16scl) 17(1.31scl) (340 shared points)
16:09:49 [App ] Depth-map 29 roughly estimated from 340 sparse points: 1080x1080 (7ms)
16:09:49 [App ] Depth-map for image 36 estimated using 4 images: 1080x1080 (1s71ms)
16:09:49 [App ] depth range: [0.82297, 10.281]
16:09:49 [App ] confidence range: [0.668222, 1.08293]
16:09:50 [App ] Reference image 11 paired with 2 views: 17(1.29scl) 13(1.16scl) (164 shared points)
16:09:50 [App ] Depth-map 11 roughly estimated from 164 sparse points: 1080x1080 (2ms)
16:09:50 [App ] Depth-map for image 29 estimated using 5 images: 1080x1080 (1s117ms)
16:09:50 [App ] depth range: [2.01792, 4.57811]
16:09:50 [App ] confidence range: [0.1, 1.43758]
16:09:51 [App ] Reference image 48 paired with 0 views: (34 shared points)
16:09:51 [App ] Reference image 45 paired with 0 views: (76 shared points)
16:09:51 [App ] Reference image 15 paired with 0 views: (68 shared points)
16:09:51 [App ] Reference image 19 paired with 0 views: (49 shared points)
16:09:51 [App ] Reference image 31 paired with 0 views: (48 shared points)
16:09:51 [App ] Reference image 38 paired with 1 views: 13(1.16scl) (148 shared points)
16:09:51 [App ] Depth-map 38 roughly estimated from 148 sparse points: 1080x1080 (2ms)
16:09:51 [App ] Depth-map for image 11 estimated using 2 images: 1080x1080 (935ms)
16:09:51 [App ] depth range: [0.518879, 22.2806]
16:09:51 [App ] confidence range: [0.634903, 1.13246]
16:09:52 [App ] Depth-map for image 38 with image 13 estimated: 1080x1080 (851ms)
16:09:52 [App ] Reference image 23 paired with 3 views: 3(1.00scl) 25(1.00scl) 63(0.99scl) (225 shared points)
16:09:52 [App ] Depth-map 23 roughly estimated from 225 sparse points: 1080x1080 (3ms)
16:09:52 [App ] depth range: [0.464372, 23.2768]
16:09:52 [App ] confidence range: [0.678639, 1.12701]
16:09:53 [App ] Reference image 9 paired with 5 views: 36(0.99scl) 26(0.98scl) 40(0.98scl) 22(1.00scl) 24(1.02scl) (300 shared points)
16:09:53 [App ] Depth-map 9 roughly estimated from 300 sparse points: 1080x1080 (3ms)
16:09:53 [App ] Depth-map for image 23 estimated using 3 images: 1080x1080 (978ms)
16:09:53 [App ] depth range: [0.897344, 6.94692]
16:09:53 [App ] confidence range: [0.383088, 1.23926]
16:09:54 [App ] Reference image 52 paired with 0 views: (63 shared points)
16:09:54 [App ] Reference image 37 paired with 0 views: (54 shared points)
16:09:54 [App ] Reference image 25 paired with 2 views: 23(1.00scl) 37(1.00scl) (138 shared points)
16:09:54 [App ] Depth-map 25 roughly estimated from 138 sparse points: 1080x1080 (2ms)
16:09:54 [App ] Depth-map for image 9 estimated using 5 images: 1080x1080 (1s140ms)
16:09:54 [App ] depth range: [0.54764, 10.127]
16:09:54 [App ] confidence range: [0.614216, 1.10039]
16:09:55 [App ] Reference image 17 paired with 3 views: 13(0.86scl) 11(0.78scl) 2(0.83scl) (279 shared points)
16:09:55 [App ] Depth-map 17 roughly estimated from 279 sparse points: 1080x1080 (3ms)
16:09:55 [App ] Depth-map for image 25 estimated using 2 images: 1080x1080 (916ms)
16:09:55 [App ] depth range: [0.917787, 15.9826]
16:09:55 [App ] confidence range: [0.46283, 1.19267]
16:09:56 [App ] Reference image 49 paired with 0 views: (53 shared points)
16:09:56 [App ] Reference image 13 paired with 2 views: 17(1.16scl) 29(0.87scl) (272 shared points)
16:09:56 [App ] Depth-map 13 roughly estimated from 272 sparse points: 1080x1080 (3ms)
16:09:56 [App ] Depth-map for image 17 estimated using 3 images: 1080x1080 (970ms)
16:09:56 [App ] depth range: [0.214765, 26.0415]
16:09:56 [App ] confidence range: [0.137182, 1.28758]
16:09:57 [App ] Reference image 40 paired with 6 views: 22(1.02scl) 24(1.05scl) 9(1.02scl) 36(1.01scl) 12(1.06scl) 26(1.00scl) (318 shared points)
16:09:57 [App ] Depth-map 40 roughly estimated from 318 sparse points: 1080x1080 (7ms)
16:09:57 [App ] Depth-map for image 13 estimated using 2 images: 1080x1080 (900ms)
16:09:57 [App ] depth range: [0.272997, 22.1718]
16:09:57 [App ] confidence range: [0.1, 1.38679]
16:09:57 [App ] Reference image 34 paired with 0 views: (87 shared points)
16:09:57 [App ] Reference image 46 paired with 0 views: (69 shared points)
16:09:58 [App ] Reference image 3 paired with 3 views: 63(0.99scl) 23(1.00scl) 21(0.98scl) (245 shared points)
16:09:58 [App ] Depth-map 3 roughly estimated from 245 sparse points: 1080x1080 (3ms)
16:09:58 [App ] Depth-map for image 40 estimated using 6 images: 1080x1080 (1s224ms)
16:09:58 [App ] depth range: [0.833713, 10.242]
16:09:58 [App ] confidence range: [0.615758, 1.10295]
16:09:59 [App ] Reference image 1 paired with 3 views: 54(0.99scl) 2(1.00scl) 29(1.02scl) (302 shared points)
16:09:59 [App ] Depth-map 1 roughly estimated from 302 sparse points: 1080x1080 (3ms)
16:09:59 [App ] Depth-map for image 3 estimated using 3 images: 1080x1080 (971ms)
16:09:59 [App ] depth range: [2.40163, 4.86943]
16:09:59 [App ] confidence range: [0.267973, 1.30325]
16:10:00 [App ] Reference image 21 paired with 4 views: 4(0.99scl) 63(1.01scl) 29(0.98scl) 3(1.02scl) (319 shared points)
16:10:00 [App ] Depth-map 21 roughly estimated from 319 sparse points: 1080x1080 (4ms)
16:10:00 [App ] Depth-map for image 1 estimated using 3 images: 1080x1080 (983ms)
16:10:00 [App ] depth range: [2.53766, 4.46062]
16:10:00 [App ] confidence range: [0.311914, 1.27069]
16:10:01 [App ] Reference image 26 paired with 3 views: 9(1.03scl) 36(1.02scl) 40(1.00scl) (204 shared points)
16:10:01 [App ] Depth-map 26 roughly estimated from 204 sparse points: 1080x1080 (2ms)
16:10:01 [App ] Depth-map for image 21 estimated using 4 images: 1080x1080 (1s72ms)
16:10:01 [App ] depth range: [0.847433, 17.6928]
16:10:01 [App ] confidence range: [0.360077, 1.19911]
16:10:02 [App ] Reference image 7 paired with 0 views: (84 shared points)
16:10:02 [App ] Reference image 64 paired with 0 views: (65 shared points)
16:10:02 [App ] Reference image 5 paired with 0 views: (22 shared points)
16:10:02 [App ] Reference image 10 paired with 6 views: 12(0.97scl) 39(1.03scl) 42(1.07scl) 24(0.94scl) 16(1.08scl) 22(0.94scl) (427 shared points)
16:10:02 [App ] Depth-map 10 roughly estimated from 427 sparse points: 1080x1080 (6ms)
16:10:02 [App ] Depth-map for image 26 estimated using 3 images: 1080x1080 (1s8ms)
16:10:02 [App ] depth range: [1.03114, 10.1752]
16:10:02 [App ] confidence range: [0.690091, 1.0835]
16:10:03 [App ] Reference image 65 paired with 0 views: (23 shared points)
16:10:03 [App ] Reference image 2 paired with 4 views: 29(1.02scl) 1(1.00scl) 17(1.22scl) 4(1.02scl) (267 shared points)
16:10:03 [App ] Depth-map 2 roughly estimated from 267 sparse points: 1080x1080 (3ms)
16:10:03 [App ] Depth-map for image 10 estimated using 6 images: 1080x1080 (1s204ms)
16:10:03 [App ] depth range: [0.556522, 11.0758]
16:10:03 [App ] confidence range: [0.635636, 1.1034]
16:10:04 [App ] Reference image 6 paired with 0 views: (31 shared points)
16:10:04 [App ] Depth-map for image 2 estimated using 4 images: 1080x1080 (1s32ms)
16:10:04 [App ] depth range: [0.241341, 19.4124]
16:10:04 [App ] confidence range: [0.130577, 1.27654]
16:10:05 [App ] Reference image 12 paired with 7 views: 39(1.05scl) 10(1.03scl) 22(0.96scl) 24(0.97scl) 42(1.08scl) 40(0.94scl) 16(1.08scl) (424 shared points)
16:10:05 [App ] Reference image 54 paired with 1 views: 1(1.01scl) (176 shared points)
16:10:06 [App ] Depth-map for image 12 estimated using 7 images: 1080x1080 (729ms)
16:10:06 [App ] depth range: [1.0898, 11.2508]
16:10:06 [App ] confidence range: [0.1, 1.40125]
16:10:06 [App ] Depth-map for image 54 with image 1 estimated: 1080x1080 (584ms)
16:10:06 [App ] depth range: [2.47818, 4.4212]
16:10:06 [App ] Reference image 16 paired with 4 views: 39(0.94scl) 42(0.98scl) 10(0.93scl) 12(0.93scl) (233 shared points)
16:10:07 [App ] confidence range: [0.1, 1.60897]
16:10:07 [App ] Reference image 27 paired with 0 views: (79 shared points)
16:10:07 [App ] Reference image 22 paired with 7 views: 12(1.05scl) 24(1.02scl) 40(0.98scl) 9(1.00scl) 10(1.07scl) 36(1.02scl) 39(1.08scl) (383 shared points)
16:10:07 [App ] Depth-map for image 16 estimated using 4 images: 1080x1080 (698ms)
16:10:07 [App ] depth range: [1.42375, 12.2879]
16:10:07 [App ] confidence range: [0.1, 1.52165]
16:10:08 [App ] Reference image 51 paired with 0 views: (32 shared points)
16:10:08 [App ] Reference image 44 paired with 0 views: (84 shared points)
16:10:08 [App ] Reference image 63 paired with 3 views: 21(0.99scl) 3(1.01scl) 4(0.98scl) (279 shared points)
16:10:08 [App ] Depth-map for image 22 estimated using 7 images: 1080x1080 (774ms)
16:10:08 [App ] depth range: [1.07628, 10.516]
16:10:08 [App ] confidence range: [0.1, 1.47629]
16:10:09 [App ] Depth-map for image 63 estimated using 3 images: 1080x1080 (655ms)
16:10:09 [App ] depth range: [0.883003, 13.3869]
16:10:09 [App ] Reference image 42 paired with 4 views: 10(0.94scl) 39(0.96scl) 16(1.02scl) 12(0.93scl) (357 shared points)
16:10:09 [App ] confidence range: [0.1, 1.68937]
16:10:09 [App ] Depth-map for image 42 estimated using 4 images: 1080x1080 (698ms)
16:10:09 [App ] Reference image 4 paired with 6 views: 29(0.99scl) 21(1.01scl) 63(1.02scl) 2(0.98scl) 11(1.10scl) 13(1.24scl) (357 shared points)
16:10:09 [App ] depth range: [0.961264, 15.9333]
16:10:10 [App ] confidence range: [0.1, 1.56458]
16:10:10 [App ] Reference image 39 paired with 6 views: 12(0.95scl) 10(0.97scl) 16(1.06scl) 42(1.04scl) 24(0.92scl) 22(0.93scl) (432 shared points)
16:10:10 [App ] Depth-map for image 4 estimated using 6 images: 1080x1080 (731ms)
16:10:10 [App ] depth range: [2.52197, 4.67905]
16:10:10 [App ] confidence range: [0.1, 1.63393]
16:10:11 [App ] Reference image 41 paired with 0 views: (128 shared points)
16:10:11 [App ] Depth-map for image 39 estimated using 6 images: 1080x1080 (723ms)
16:10:11 [App ] Reference image 24 paired with 7 views: 12(1.03scl) 22(0.98scl) 10(1.06scl) 40(0.96scl) 39(1.09scl) 9(0.99scl) 42(1.12scl) (384 shared points)
16:10:11 [App ] depth range: [1.24546, 11.8523]
16:10:11 [App ] confidence range: [0.1, 1.58385]
16:10:12 [App ] Reference image 36 paired with 4 views: 9(1.01scl) 26(0.98scl) 40(0.99scl) 22(0.99scl) (312 shared points)
16:10:12 [App ] Depth-map for image 24 estimated using 7 images: 1080x1080 (740ms)
16:10:12 [App ] depth range: [1.24864, 15.8251]
16:10:12 [App ] confidence range: [0.1, 1.45704]
16:10:12 [App ] Depth-map for image 36 estimated using 4 images: 1080x1080 (685ms)
16:10:12 [App ] Reference image 29 paired with 5 views: 4(1.01scl) 2(0.98scl) 21(1.02scl) 13(1.16scl) 17(1.31scl) (340 shared points)
16:10:12 [App ] depth range: [1.32529, 10.2555]
16:10:13 [App ] confidence range: [0.1, 1.4174]
16:10:13 [App ] Reference image 11 paired with 2 views: 17(1.29scl) 13(1.16scl) (164 shared points)
16:10:13 [App ] Depth-map for image 29 estimated using 5 images: 1080x1080 (725ms)
16:10:13 [App ] depth range: [2.13899, 4.61322]
16:10:13 [App ] confidence range: [0.1, 1.6658]
16:10:14 [App ] Depth-map for image 11 estimated using 2 images: 1080x1080 (645ms)
16:10:14 [App ] Reference image 48 paired with 0 views: (34 shared points)
16:10:14 [App ] depth range: [0.829628, 23.2965]
16:10:14 [App ] Reference image 45 paired with 0 views: (76 shared points)
16:10:14 [App ] Reference image 15 paired with 0 views: (68 shared points)
16:10:14 [App ] Reference image 19 paired with 0 views: (49 shared points)
16:10:14 [App ] Reference image 31 paired with 0 views: (48 shared points)
16:10:14 [App ] Reference image 38 paired with 1 views: 13(1.16scl) (148 shared points)
16:10:14 [App ] confidence range: [0.1, 1.64341]
16:10:15 [App ] Depth-map for image 38 with image 13 estimated: 1080x1080 (588ms)
16:10:15 [App ] depth range: [0.702151, 23.9601]
16:10:15 [App ] Reference image 23 paired with 3 views: 3(1.00scl) 25(1.00scl) 63(0.99scl) (225 shared points)
16:10:15 [App ] confidence range: [0.1, 1.30854]
16:10:15 [App ] Depth-map for image 23 estimated using 3 images: 1080x1080 (715ms)
16:10:15 [App ] depth range: [1.07918, 6.95456]
16:10:15 [App ] Reference image 9 paired with 5 views: 36(0.99scl) 26(0.98scl) 40(0.98scl) 22(1.00scl) 24(1.02scl) (300 shared points)
16:10:16 [App ] confidence range: [0.1, 1.65397]
16:10:16 [App ] Depth-map for image 9 estimated using 5 images: 1080x1080 (868ms)
16:10:16 [App ] depth range: [0.813905, 10.1381]
16:10:16 [App ] Reference image 52 paired with 0 views: (63 shared points)
16:10:16 [App ] Reference image 37 paired with 0 views: (54 shared points)
16:10:16 [App ] Reference image 25 paired with 2 views: 23(1.00scl) 37(1.00scl) (138 shared points)
16:10:16 [App ] error: opening file 'depth0037.dmap' for reading depth-data
To Reproduce Steps to reproduce the behavior: 1 - Get poses from openMVG
openMVG_main_SfMInit_ImageListing -i path/to/Image_datasets/360_dataset/360_Flat/images/ -o path/to/Image_datasets/360_dataset/360_Flat/matches/ -f 1 -c 7
openMVG_main_ComputeFeatures -i path/to/Image_datasets/360_dataset/360_Flat/matches/sfm_data.json -o path/to/Image_datasets/360_dataset/360_Flat/matches/ -m SIFT -n 8 -f 1
openMVG_main_ComputeMatches -i path/to/Image_datasets/360_dataset/360_Flat/matches/sfm_data.json -o path/to/Image_datasets/360_dataset/360_Flat/matches/matches.putative.bin -n BRUTEFORCEL2 -f 1
openMVG_main_GeometricFilter -i path/to/Image_datasets/360_dataset/360_Flat/matches/sfm_data.json -m path/to/Image_datasets/360_dataset/360_Flat/matches/matches.putative.bin -g f -o path/to/Image_datasets/360_dataset/360_Flat/matches/matches.f.bin
openMVG_main_SfM --sfm_engine INCREMENTAL --input_file path/to/Image_datasets/360_dataset/360_Flat/matches/sfm_data.json --match_dir path/to/Image_datasets/360_dataset/360_Flat/matches/ --match_file path/to/Image_datasets/360_dataset/360_Flat/matches/matches.f.bin -f ADJUST_ALL -c 5 --output_dir path/to/Image_datasets/360_dataset/360_Flat/reconstruction/
openMVG_main_ComputeSfM_DataColor -i path/to/Image_datasets/360_dataset/360_Flat/reconstruction/sfm_data.bin -o path/to/Image_datasets/360_dataset/360_Flat/reconstruction/colorized.ply
openMVG_main_ComputeStructureFromKnownPoses -i path/to/Image_datasets/360_dataset/360_Flat/reconstruction/sfm_data.bin -m path/to/Image_datasets/360_dataset/360_Flat/matches/ -d 1 -f path/to/Image_datasets/360_dataset/360_Flat/matches/matches.f.bin -t 0 -c 1 -o path/to/Image_datasets/360_dataset/360_Flat/reconstruction/robust.ply
openMVG_main_GeometricFilter -i path/to/Image_datasets/360_dataset/360_Flat/matches/sfm_data.json -m path/to/Image_datasets/360_dataset/360_Flat/matches/matches.putative.bin -g a -o path/to/Image_datasets/360_dataset/360_Flat/matches/matches.a.bin
openMVG_main_SfM --sfm_engine STELLAR --input_file path/to/Image_datasets/360_dataset/360_Flat/matches/sfm_data.json --match_dir path/to/Image_datasets/360_dataset/360_Flat/matches/ --match_file path/to/Image_datasets/360_dataset/360_Flat/matches/matches.a.bin -G MST_X --output_dir path/to/Image_datasets/360_dataset/360_Flat/reconstruction/
openMVG_main_ComputeSfM_DataColor -i path/to/Image_datasets/360_dataset/360_Flat/reconstruction/sfm_data.bin -o path/to/Image_datasets/360_dataset/360_Flat/reconstruction/colorized.ply
openMVG_main_ComputeStructureFromKnownPoses -i path/to/Image_datasets/360_dataset/360_Flat/reconstruction/sfm_data.bin -m path/to/Image_datasets/360_dataset/360_Flat/matches/ -d 1 -f path/to/Image_datasets/360_dataset/360_Flat/matches/matches.f.bin -t 0 -c 1 -o path/to/Image_datasets/360_dataset/360_Flat/reconstruction/robust.ply
2 - Convert dataset to cubic images
openMVG_main_openMVGSpherical2Cubic -i path/to/Image_datasets/360_dataset/360_Flat/reconstruction/sfm_data.bin -o path/to/Image_datasets/360_dataset/360_Flat/cube_images/ -f 1 -s 2160
3 - Export to openMVS
openMVG_main_openMVG2openMVS --sfmdata path/to/Image_datasets/360_dataset/360_Flat/reconstruction/sfm_data.bin --outfile path/to/Image_datasets/360_dataset/360_Flat/openmvs_reconstruction/scene.mvs -n 10
4 - Run DensifyPointCloud scene.mvs
Desktop (please complete the following information):
- OS: Ubuntu
- Browser Firefox
- Version openMVS version 2.2.0
just make sure you deleted all DMAPs in the working folder before calling OpenMVS
Hello @cdcseacave Thanks for your response I did rm -rf ./* to the directory and run the
openMVG_main_openMVG2openMVS --sfmdata path/to/Image_datasets/360_dataset/360_Flat/reconstruction/sfm_data.bin --outfile path/to/Image_datasets/360_dataset/360_Flat/openmvs_reconstruction/scene.mvs -n 10 and then DensifyPointCloud scene.mvs I get the same exact error as above again.
Seems like a GPU implementation bug when I compile openMVS without CUDA the problem is gone but it is very slow on the CPU compared to the GPU
i meet the same question. i solved it by adding "-DCMAKE_BUILD_TYPE=Release". but i dont know the reason.
i meet the same question. i solved it by adding "-DCMAKE_BUILD_TYPE=Release". but i dont know the reason.
This worked for me. Now being able to use the GPU (so much faster)!
i meet the same question. i solved it by adding "-DCMAKE_BUILD_TYPE=Release". but i dont know the reason.
Thank you so much. It helps me a lot.
