SaveProject
saved project in 0.009644 sec
LoadProject
loaded project in 0.000416 sec




--------- Add Photos ---------------
['../testProject/img/DJI_0002.JPG', '../testProject/img/DJI_0004.JPG', '../testProject/img/DJI_0007.JPG', '../testProject/img/DJI_0001.JPG', '../testProject/img/DJI_0006.JPG', '../testProject/img/DJI_0005.JPG', '../testProject/img/DJI_0003.JPG', '../testProject/img/DJI_0008.JPG']
AddPhotos




--------- Match Photos ---------------
MatchPhotos: accuracy = Low, preselection = reference, keypoint limit = 40000, tiepoint limit = 4000, constrain features by mask = 1
[CPU] photo 0: 3083 points
[CPU] photo 1: 3124 points
[CPU] photo 2: 3342 points
[CPU] photo 3: 3353 points
[CPU] photo 4: 3335 points
[CPU] photo 5: 3153 points
[CPU] photo 6: 2932 points
[CPU] photo 7: 2975 points
points detected in 1.81098 sec
10432 matches found in 0.709299 sec
matches combined in 0.001227 sec
matches filtered in 0.023798 sec
finished matching in 2.54593 sec
setting point indices... 3044 done in 0.000264 sec
generated 3044 tie points, 2.36761 average projections
removed 8 multiple indices
removed 2 tracks
selected 3042 tracks out of 3042 in 0.00031 sec




--------- Align Cameras ---------------
AlignCameras: adaptive fitting = 1
processing block: 8 photos
pair 0 and 1: 0 robust from 1179
pair 4 and 5: 309 robust from 557
pair 3 and 4: 381 robust from 529
pair 5 and 6: 495 robust from 498
adding photos 5 and 6 (495 robust)
adding 498 points, 0 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
adjusting: xxx 0.179174 -> 0.17134
adding 0 points, 0 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
optimized in 0.039637 seconds
adding camera 4 (3 of 8), 157 of 165 used
adding camera 7 (4 of 8), 153 of 160 used
adding 713 points, 1 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
adjusting: xxx 0.259291 -> 0.170273
adding 1 points, 0 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
adjusting: xxx 0.202245 -> 0.199445
adding 0 points, 0 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
optimized in 0.078266 seconds
adding camera 3 (5 of 8), 251 of 255 used
adding 334 points, 1 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
adjusting: xxxx 0.227714 -> 0.190114
adding 1 points, 0 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
adjusting: xxx 0.207144 -> 0.206847
adding 0 points, 0 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
optimized in 0.093709 seconds
adding camera 2 (6 of 8), 131 of 133 used
adding 241 points, 0 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
adjusting: xxx 0.204452 -> 0.197498
adding 0 points, 0 far (7 threshold), 0 inaccurate, 0 invisible, 0 weak
optimized in 0.044062 seconds
adding camera 1 (7 of 8), 100 of 105 used
adding camera 0 (8 of 8), 97 of 101 used
adding 1254 points, 0 far (7 threshold), 233 inaccurate, 3 invisible, 0 weak
adjusting: xxxxxxxxxx 0.252624 -> 0.206049
adding 234 points, 0 far (7 threshold), 256 inaccurate, 1 invisible, 0 weak
optimized in 0.255519 seconds
3 sigma filtering...
adjusting: xxxxxxxxxxxxxxxxxxxx 0.207645 -> 0.206145
point variance: 0.178042 threshold: 0.534127
adding 254 points, 30 far (0.534127 threshold), 270 inaccurate, 1 invisible, 0 weak
adjusting: xxxxxxxxxxxxxxxxxxxx 0.125556 -> 0.120502
point variance: 0.103895 threshold: 0.311684
adding 269 points, 60 far (0.311684 threshold), 252 inaccurate, 1 invisible, 0 weak
adjusting: xxxxxxxxxxxxxxxxxxx 0.107433 -> 0.106631
point variance: 0.09152 threshold: 0.27456
adding 261 points, 41 far (0.27456 threshold), 233 inaccurate, 2 invisible, 0 weak
adjusting: xxxxxxxxxxxxxxxxxxxx 0.103318 -> 0.102811
point variance: 0.0880529 threshold: 0.264159
adding 256 points, 42 far (0.264159 threshold), 232 inaccurate, 1 invisible, 0 weak
adjusting: xxxxxxxxxxxxxxxxxxxx 0.101345 -> 0.101159
point variance: 0.0865522 threshold: 0.259657
adding 268 points, 39 far (0.259657 threshold), 225 inaccurate, 1 invisible, 0 weak
optimized in 1.79166 seconds
f 2311.25, cx 0, cy 0, k1 0, k2 0, k3 0
finished sfm in 2.50443 seconds
loaded projections in 0.000614 sec
tracks initialized in 0.000511 sec
adding 3037 points, 0 far (7 threshold), 222 inaccurate, 7 invisible, 0 weak
1 blocks: 8
calculating match counts... done in 0.001 sec
overlapping groups selected in 1e-06 sec
1 blocks: 8
final block size: 8
adding 3037 points, 0 far (7 threshold), 222 inaccurate, 7 invisible, 0 weak
3 sigma filtering...
adjusting: xxxxxxxxxxxxxxxxxxxx 0.222813 -> 0.206214
point variance: 0.177866 threshold: 0.533599
adding 230 points, 30 far (0.533599 threshold), 249 inaccurate, 1 invisible, 0 weak
adjusting: xxxxxxxxxxxxxxxxxxxx 0.124638 -> 0.120904
point variance: 0.104143 threshold: 0.31243
adding 248 points, 61 far (0.31243 threshold), 248 inaccurate, 0 invisible, 0 weak
adjusting: xxxxxxxxxxxxxxxxxxxx 0.107544 -> 0.106717
point variance: 0.0915614 threshold: 0.274684
adding 256 points, 43 far (0.274684 threshold), 237 inaccurate, 1 invisible, 0 weak
adjusting: xxxxxxxxxxxxxxxxxxxx 0.10323 -> 0.102811
point variance: 0.0880662 threshold: 0.264199
adding 260 points, 41 far (0.264199 threshold), 231 inaccurate, 1 invisible, 0 weak
adjusting: xxxxxxxxxxxxxxxxxxxx 0.101492 -> 0.101197
point variance: 0.0865723 threshold: 0.259717
adding 265 points, 39 far (0.259717 threshold), 226 inaccurate, 1 invisible, 0 weak
optimized in 2.1359 seconds
coordinates applied in 0 sec




--------- References ---------------
SaveProject
saved project in 0.001399 sec
LoadProject
loaded project in 0.000419 sec




--------- Build Depth Maps ---------------
BuildDepthMaps: quality = Low, depth filtering = Aggressive, reuse depth maps
sorting point cloud... done in 3.8e-05 sec
processing matches... done in 0.000287 sec
initializing...
selected 8 cameras from 8 in 0.008501 sec
loaded photos in 0.264375 seconds
[CPU] estimating 208x334x128 disparity using 208x334x8u tiles
timings: rectify: 0.005832 disparity: 0.117684 borders: 0.001955 filter: 0.004195 fill: 0
[CPU] estimating 337x345x96 disparity using 337x345x8u tiles
timings: rectify: 0.005616 disparity: 0.174919 borders: 0.003832 filter: 0.005145 fill: 0
[CPU] estimating 334x343x128 disparity using 334x343x8u tiles
timings: rectify: 0.005177 disparity: 0.203571 borders: 0.003463 filter: 0.004508 fill: 0
[CPU] estimating 190x334x128 disparity using 190x334x8u tiles
timings: rectify: 0.002995 disparity: 0.116189 borders: 0.001889 filter: 0.002703 fill: 0
[CPU] estimating 343x352x128 disparity using 343x352x8u tiles
timings: rectify: 0.006215 disparity: 0.194275 borders: 0.003106 filter: 0.005156 fill: 0
[CPU] estimating 200x296x128 disparity using 200x296x8u tiles
timings: rectify: 0.002822 disparity: 0.100645 borders: 0.002197 filter: 0.002414 fill: 0
[CPU] estimating 197x294x96 disparity using 197x294x8u tiles
timings: rectify: 0.003151 disparity: 0.100393 borders: 0.001762 filter: 0.002413 fill: 1e-06
[CPU] estimating 324x339x128 disparity using 324x339x8u tiles
timings: rectify: 0.005478 disparity: 0.176837 borders: 0.003747 filter: 0.007005 fill: 0
[CPU] estimating 343x341x96 disparity using 343x341x8u tiles
timings: rectify: 0.006914 disparity: 0.184058 borders: 0.004327 filter: 0.005186 fill: 0
[CPU] estimating 207x334x128 disparity using 207x334x8u tiles
timings: rectify: 0.003353 disparity: 0.115178 borders: 0.002091 filter: 0.002608 fill: 0
[CPU] estimating 213x335x128 disparity using 213x335x8u tiles
timings: rectify: 0.005238 disparity: 0.139617 borders: 0.001952 filter: 0.002616 fill: 0
[CPU] estimating 343x350x96 disparity using 343x350x8u tiles
timings: rectify: 0.007836 disparity: 0.189357 borders: 0.003813 filter: 0.004615 fill: 0
[CPU] estimating 323x339x128 disparity using 323x339x8u tiles
timings: rectify: 0.006537 disparity: 0.160472 borders: 0.004217 filter: 0.005146 fill: 0
[CPU] estimating 193x333x128 disparity using 193x333x8u tiles
timings: rectify: 0.003462 disparity: 0.113327 borders: 0.002264 filter: 0.002428 fill: 0
[CPU] estimating 344x352x128 disparity using 344x352x8u tiles
timings: rectify: 0.007441 disparity: 0.207906 borders: 0.003567 filter: 0.005899 fill: 0
[CPU] estimating 333x343x128 disparity using 333x343x8u tiles
timings: rectify: 0.004818 disparity: 0.177107 borders: 0.003389 filter: 0.004323 fill: 0
[CPU] estimating 341x350x128 disparity using 341x350x8u tiles
timings: rectify: 0.005613 disparity: 0.200597 borders: 0.00331 filter: 0.0047 fill: 0
[CPU] estimating 212x335x128 disparity using 212x335x8u tiles
timings: rectify: 0.003401 disparity: 0.124099 borders: 0.00174 filter: 0.002086 fill: 0
[CPU] estimating 61x197x96 disparity using 61x197x8u tiles
timings: rectify: 0.000677 disparity: 0.026203 borders: 0.000105 filter: 0.00031 fill: 0
[CPU] estimating 194x333x128 disparity using 194x333x8u tiles
timings: rectify: 0.003147 disparity: 0.118112 borders: 0.001995 filter: 0.00284 fill: 0
[CPU] estimating 343x341x96 disparity using 343x341x8u tiles
timings: rectify: 0.007484 disparity: 0.190053 borders: 0.00612 filter: 0.006658 fill: 0
[CPU] estimating 337x345x96 disparity using 337x345x8u tiles
timings: rectify: 0.005744 disparity: 0.179873 borders: 0.003091 filter: 0.004857 fill: 0
[CPU] estimating 201x296x128 disparity using 201x296x8u tiles
timings: rectify: 0.003327 disparity: 0.107553 borders: 0.001801 filter: 0.002834 fill: 0
[CPU] estimating 189x334x128 disparity using 189x334x8u tiles
timings: rectify: 0.003727 disparity: 0.119732 borders: 0.001506 filter: 0.002091 fill: 0
[CPU] estimating 342x350x128 disparity using 342x350x8u tiles
timings: rectify: 0.006909 disparity: 0.208456 borders: 0.003396 filter: 0.0043 fill: 0
[CPU] estimating 344x350x96 disparity using 344x350x8u tiles
timings: rectify: 0.008104 disparity: 0.197634 borders: 0.004127 filter: 0.004371 fill: 0
[CPU] estimating 198x294x96 disparity using 198x294x8u tiles
timings: rectify: 0.002818 disparity: 0.095359 borders: 0.001953 filter: 0.004874 fill: 0
[CPU] estimating 61x197x96 disparity using 61x197x8u tiles
timings: rectify: 0.000821 disparity: 0.023001 borders: 8.9e-05 filter: 0.00029 fill: 0

Depth reconstruction devices performance:
 - 100%	 done by CPU
Total time: 4.85205 seconds





--------- Build Dense Cloud ---------------
BuildDenseCloud
selected 8 cameras in 0.010488 sec
working volume: 1494x510x424
tiles: 1x1x1
selected 8 cameras in 1.6e-05 sec
preloading data... done in 0.011441 sec
filtering depth maps... done in 0.167574 sec
preloading data... done in 0.147744 sec
accumulating data... done in 0.066257 sec
building point cloud... done in 0.047858 sec
552439 points extracted




--------- Build Model (Mesh) ---------------
BuildModel: surface type = Height field, source data = Dense cloud, face count = Medium, interpolation = Enabled
generating 1494x510 grid (0.00741121 resolution)
rasterizing dem... done in 0.018441 sec
filtering dem... done in 0.023798 sec
constructed triangulation from 7997 vertices, 15988 faces
grid interpolated in 0.348657 sec
triangulating... 30000 points 59839 faces done in 0.280495 sec
processing nodes...  done in 0.009741 sec
calculating colors...  done in 0.124478 sec




--------- Build DEM ---------------
<CoordinateSystem 'WGS 84 / UTM zone 32N (EPSG::32632)'>
<CoordinateSystem 'WGS 84 / UTM zone 32N (EPSG::32632)'>
SaveProject
saved project in 0.00293 sec
LoadProject
loaded project in 0.000408 sec
BuildDem: projection = WGS 84 / UTM zone 32N, source data = Dense cloud, interpolation = Enabled, resolution = 0
Please save project in PSX format before processing
Traceback (most recent call last):
  File "ps.py", line 212, in <module>
    interpolation=map_cfg_value(psInterpolationDic, build_dem_cfg["interpolation"]))
RuntimeError: Empty frame path