Hello, i have recently purchsed again WebODM (but the latest upgrade version); i had purchased some years ago the first version, but it worked well and i had never had this kind of problem that doesn’t allow the process to end. Now, i have this issue with processing in WebODM. I need processing a dataset of 115 photos and another dataset of 2100 photos. All photos are georeferenced by onboard RTK gnss with a 3 cm max error in positioning.
Front overlap about 85/95%; side overlap 80%.
Then, i’d like to know if is it possible to allocate more RAM. How can I do it? because my PC does not have 16 GB, but 32 GB. Thank you for your support
You can find the little dataset (115 photos) here: Transfer - Dropbox
Could you help me suggesting me the best setting in order to obtain Ortophoto and DEM (DSM+DTM).
I don’t know which error occurs. I notate that, despite my desktop PC has 32 Gb RAM, WebODM allocation is just of 16 Gb. Could it be the reason for the processing problem? How can I allocate more dedicated RAM to the process in webODM?
"[ERROR] Uh oh! Processing stopped because of strange values in the reconstruction. This is often a sign that the input data has some issues or the software cannot deal with it. Have you followed best practices for data acquisition? See Flying Tips — OpenDroneMap 3.5.4 documentation
100 - done
Activity Output:
Finalizing texture atlases… done. (Took: 0s)
Building objmodel:
Saving model… done.
Whole texturing procedure took: 40.528s
[INFO] Finished mvs_texturing stage
[INFO] Running odm_georeferencing stage
[INFO] Georeferencing point cloud
[INFO] running pdal translate -i “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_filterpoints\point_cloud.ply” -o “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz” ferry transformation --filters.ferry.dimensions=“views => UserData” --filters.transformation.matrix=“1 0 0 493605.0 0 1 0 5029734.0 0 0 1 0 0 0 0 1” --writers.las.offset_x=493605.0 --writers.las.offset_y=5029734.0 --writers.las.scale_x=0.001 --writers.las.scale_y=0.001 --writers.las.scale_z=0.001 --writers.las.offset_z=0 --writers.las.a_srs=“+proj=utm +zone=32 +datum=WGS84 +units=m +no_defs +type=crs”
[INFO] Calculating cropping area and generating bounds shapefile from point cloud
[INFO] running pdal translate -i “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz” -o “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.decimated.las” decimation --filters.decimation.step=40
[INFO] running pdal info --boundary --filters.hexbin.edge_size=1 --filters.hexbin.threshold=0 “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.decimated.las” > “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.boundary.json”
[INFO] running pdal info --summary “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz” > “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.summary.json”
[INFO] running ogr2ogr -overwrite -f GPKG -a_srs “+proj=utm +zone=32 +datum=WGS84 +units=m +no_defs” “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.bounds.gpkg” “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.bounds.geojson”
[INFO] Classifying H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz using Simple Morphological Filter (1/2)
[INFO] running pdal translate -i H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz -o H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz smrf --filters.smrf.scalar=1.25 --filters.smrf.slope=0.15 --filters.smrf.threshold=0.5 --filters.smrf.window=18.0
[INFO] Created H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz in 0:00:34.056821
[INFO] Classifying H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz using OpenPointClass (2/2)
[INFO] running pcclassify “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz” “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.classified.laz” “C:\ProgramData\ODM\storage\models\openpointclass\v1_0_0\model.bin” -u -s 2,64
Model: Gradient Boosted Trees
Loading C:\ProgramData\ODM\storage\models\openpointclass\v1_0_0\model.bin
Reading points from H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz
Number of points: 14121050
Label dimension: Classification
Starting resolution: 0.2
Init scale 0 at 0.2 …
Init scale 1 at 0.2 …
Init scale 6 at 6.4 …
Init scale 5 at 3.2 …
Init scale 3 at 0.8 …
Init scale 4 at 1.6 …
Init scale 2 at 0.4 …
Building scale 1 (469864 points) …
Building scale 2 (172020 points) …
Building scale 3 (57636 points) …
Building scale 4 (15941 points) …
Building scale 5 (4006 points) …
Building scale 6 (942 points) …
Features: 126
Classifying…
Local smoothing…
Wrote H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.classified.laz
[INFO] Rectifying H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz using with [reclassify threshold: 5, min area: 750, min points: 500]
[WARNING] Error rectifying ground in file H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz: Invalid \escape: line 1 column 38 (char 37)
[INFO] Creating Entwine Point Tile output
[INFO] running entwine build --threads 12 --tmp “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\entwine_pointcloud-tmp” -i “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz” -o “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\entwine_pointcloud”
1/1: H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz
Dimensions: [
X:int32, Y:int32, Z:int32, Intensity:uint16, ReturnNumber:uint8,
NumberOfReturns:uint8, ScanDirectionFlag:uint8, EdgeOfFlightLine:uint8,
Classification:uint8, ScanAngleRank:float32, UserData:uint8,
PointSourceId:uint16, GpsTime:float64, Red:uint16, Green:uint16, Blue:uint16
]
Points: 14,121,050
Bounds: [(493491, 5029636, 160), (493718, 5029834, 188)]
Scale: 0.01
SRS: EPSG:32632
Adding 0 - H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz
Joining
00:10 - 36% - 5,058,560 - 1,821 (1,821) M/h - 0W - 0R - 134A
00:20 - 72% - 10,108,928 - 1,819 (1,818) M/h - 0W - 0R - 256A
00:30 - 100% - 14,121,050 - 1,694 (1,444) M/h - 63W - 0R - 290A
Done 0
Saving
Wrote 14,121,050 points.
[INFO] Finished odm_georeferencing stage
[INFO] Running odm_dem stage
[INFO] Create DSM: True
[INFO] Create DTM: True
[INFO] DEM input file H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz found: True
[INFO] running renderdem “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz” --outdir “H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_dem” --output-type max --radiuses 0.02,0.028284271247461905,0.04000000000000001 --resolution 0.05 --max-tiles 0 --decimation 20 --classification -1 --tile-size 4096 --force
Decimation set to 20
Reading points from H:\WebODM\resources\app\apps\NodeODM\data\58c7fb8f-13dd-4af7-9eea-3b67ecf956ca\odm_georeferencing\odm_georeferenced_model.laz
Number of points: 14121050
Classification dimension: Classification
===== Dumping Info for Geeks (developers need this to fix bugs) =====
Child returned 3221225477
Traceback (most recent call last):
File “H:\WebODM\resources\app\apps\ODM\stages\odm_app.py”, line 82, in execute
self.first_stage.run()
File “H:\WebODM\resources\app\apps\ODM\opendm\types.py”, line 470, in run
self.next_stage.run(outputs)
File “H:\WebODM\resources\app\apps\ODM\opendm\types.py”, line 470, in run
self.next_stage.run(outputs)
File “H:\WebODM\resources\app\apps\ODM\opendm\types.py”, line 470, in run
self.next_stage.run(outputs)
[Previous line repeated 6 more times]
File “H:\WebODM\resources\app\apps\ODM\opendm\types.py”, line 449, in run
self.process(self.args, outputs)
File “H:\WebODM\resources\app\apps\ODM\stages\odm_dem.py”, line 66, in process
commands.create_dem(
File “H:\WebODM\resources\app\apps\ODM\opendm\dem\commands.py”, line 82, in create_dem
system.run('renderdem “{input}” ’
File “H:\WebODM\resources\app\apps\ODM\opendm\system.py”, line 112, in run
raise SubprocessException(“Child returned {}”.format(retcode), retcode)
opendm.system.SubprocessException: Child returned 3221225477
===== Done, human-readable information to follow… =====
[ERROR] Uh oh! Processing stopped because of strange values in the reconstruction. This is often a sign that the input data has some issues or the software cannot deal with it. Have you followed best practices for data acquisition? See Flying Tips — OpenDroneMap 3.5.4 documentation
100 - done.
