Processing got stalled after certain % of productions, mostly on 13%. I had updated my GPU driver even the problem continues. I waited for more than 10 hrs as the production may continue after 13% but no result, CPU and GPU usage was also below 10%. It looks CC not using the hardware for processing. Find the screenshot captured while production. Kindly help us in this regard.
ContextCapture app was working fine when I was running Android 7.1 on my Google Pixel 2. Upon updating to Android 8.1 as I open the app it only loads a blank screen on startup and crashes itself right on startup. Any solution? free movies download websites without registration
My system has 64gb of RAM. I set the target RAM usage to 32gb in the spatial framework, and I am still getting an insufficient memory error for 2 out of 22 tiles. What am I missing?
Hi there,
The photo below is my model processed in CCMaster and the distance from end to end is OK.
BUT,
Why is it the CCViewer doesn't show the same measurement? I also noticed that height difference doesn't show in CCViewer.
Can someone enlighten me with this?
i tried to upload a model that worked on the same version in a different computer. This is a screenshot from the answer i received, any idea how to solve it?
Hello,
I'm a brand new user of ContextCapture, I would ask how to add a title block and a legend to the PDF outputs.
I suppose that's possible, but what's the best practice to do so?
Thanks to all who will support me answering to this post.
Hello everyone,
I am new using CC, though I work on photogrametry on an every-day basis. This time I'm processing what I think is quite a big project and I read that multiple engines (over different computers on LAN) can be set to work together on a single project, so I tried to implement it, but I have had no luck yet. I actually followed the instructions on this video https://www.youtube.com/watch?v=dqQaxcFp9Rs.
Things to consider: the project data, photos, AT are on the seconday drive (E:\) of the "Master Computer", while Job Queue Directory is on the primary drive (C:\). I actually tried to implement this during the 3MX production was running on the Master, and after changing some folder sharing properties, the "Worker" Engine seems to find the Job Queue on the Master Computer. Then, after a couple of seconds, it says Ignoring Job "..." not found (image attached).
What do you think the problem is?
Also, I enabled the "Vulkan API and MultiGPU Processing" option. But the GPU activity seems to be very intermittent with Load ranging from 0 - 97% (because of CCEngine.exe) in the Windows Task Manager, is this normal? Shouldn't be "always" 100% like the CPU load? - The Master Computer is i9-7980XE, 128GB RAM and a 1080Ti.
Any help is appreciated
Bentley Reality Modeling Special Interest Group for North America: Engineering-ready Complex Terrain Models With ContextCapture Editor and OpenRoads Designer
Host: Mike Barkasi Senior Application Engineer Bentley Systems, Inc.
18 July 2019 - 2 P.M. EDT
This Bentley Reality Modeling Special Interest Group virtual workshop is structured to keep North American users working optimally. Connect with industry colleagues as you learn how to create engineering-ready complex terrain models using features in ContextCapture Editor and OpenRoads Designer. Topics include:
This one-hour session includes a technology presentation as well as time to share input and ask questions. See you online! | |
|
Good morning,
I would like to know if you have ever had an anomaly of this kind:
- 1 AT ok
- photo tagging and 2 AT ok
- reconstruction and production ok
analyzing the 3D Mesch file I found a noticeable vertical jump.
What can this problem depend on?
The flight data are these:
PPK (post processing Kinematic)
Camera: Sony α7RII
Focal Distance: 35mm
GSD: 1,1 cm / pixel
Height: + 85m Original Graund Level
Speed: 5m / s
Photo shooting interval: 12m + WP
Longitudinal Overlap: ~ 80%
Flight plan: UGCS (Universal Ground Control System)
ContextCapture Master edition Update 12 - v4.4.12.347
I collected aerial photos using a DJI Mavic Pro. The photos have potions and rotation:
I add the photos and GCPs. All looks fine at this point.
I have processed the AT with and without GCPs. For the latter it does tie the model down at the GCP locations however the model is not orientated correctly:
I have tried 'general' and structured aerial dataset' options. I have tried medium and high for tie point density. And I have tired single and multi pass.
The setting used below resulted in the AT above and only 7 photos not useable for reconstruction. All the photos were collected on the same day at meta data shows very similar elevation (flown at the same height) - see second image below - the GCPs z value is very similar to the photo meta data z value, hence the GCPs are at a similar level)
What can I do to help orientate the model correctly? You can see from the first image above that I have limited GCPs laterally along the model. The model is a linear coastal seawall and as the main road is close to the seawall one side and the water was close the other it wasn't possible to place GCPs that far apart laterally.
My only thoughts are:
1. To ask the local surveyor to collect some more xyz coordinates for points I can easily see in the model and to collect them as spread out laterally as possible...
2. Adjust the estimation policies in the AT settings? Any recommendations?
I am using this version of CC
Hi.
I have two CC datasets:
1. structured aerial dataset
2. orbit dataset
What is the best workflow to merge the datasets:
1. Merge ATs and then re-submit AT?
2. Merge before AT (photogroup blocks), then submit AT?
I have created Tie Points with the same name in both datasets (blue crossed in screenshots above). When I try either method 1 or 2 above, the tie points are duplicated (i.e. Tie Point 1 and Tie Point 1 (2)).
Result of merging via Method 1 (orbit dataset and tie points sit below structured dataset and tie points):
Result of merging via Method 2 (you can see the duplicated tie point crossed above/below each other):
Hi All,
I keep trying to generate an orthophoto/DSM on contextcapture. In my reconstruction it shows that I have reference model but when I submit a production to make the orthophoto it gives me a warning to check and make sure that I have a reference model. I do have one and I see it, but when I start the production and it finishes it, all the photos come up black with no data?
Why is this happening? Am I missing a step, what am I doing wrong?
Thank you and I appreciate the help!
We want to write python code for "Orthophoto/DSM" generation, but there will be exception in the sentence of " production.addProductionJob(CCMasterKernelPy.TileProductionJob(production,reconstruction.getInternalTile(0))) ".
We try to use "getJobType()" and find there are two types of job " TileProductionJob or RasterProductionJob"
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
getJobType() → object¶
Return job type (TileProductionJob or RasterProductionJob).
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
So We guessed the problem should be caused by that we used the wrong job type in the python code, so could you help to provide some sample python code on "Orthophoto/DSM" generation?
Below is the sample code we get in SDK document, but there is only code sample with job type of "TileProductionJob " but not "RasterProductionJob":
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
# define a production for one tile
production = CCMasterKernelPy.Production(reconstruction)
production.addProductionJob( CCMasterKernelPy.TileProductionJob(production, reconstruction.getInternalTile(0)) )
reconstruction.addProduction(production)
# set production format and destination
production.setDriverName('OBJ')
production.setDestination('D:/DATA/my production')
# set production options
driverOptions = production.getDriverOptions()
driverOptions.put_int('TextureCompressionQuality', 80)
production.setDriverOptions(driverOptions)
# sumbit production processing
production.submitProcessing()
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
Many thanks in advance.
Jinlong
A bulge in the elevation of the road appears in my model:
I am using high density and multi pass and I am using the computed camera properties from an initial AT on the general dataset. All photos in this area were taken with the same drone model at the same time (i.e. during same take off period, not with seperate batteries):
Below is an aerial view of the area that has problems - could it be the moving cars at the junction that caused the issues? The cars were moving as I flew over this junction. The problem area is in front of the junction rather than where the cars are though...
Here is the output of the acquisition report. I HAVE ATTACHED THE QUALITY REPORT TO THIS POST
There appears to be a lower density of auto tie points generated in this area
Below is the image selected in the screenshot above:
The AT shows a single line of photos (x3) out of alignment...
I have tried the following:
1. Add in multiple user tie points around the junction - this didn't help
2. Use the extract option to clone the block and remove photos that view or are above the area of the bulge - I am not so interested in the elevations at the junction so was attempting to exclude these areas during AT. I could do this at the reconstruction stage however I feel like the bulge is impacting the elevation of the model at the coastline/seawall.
Hello, I'm getting an Invalid Reality Modeling visa. Could someone get in touch with me to help me resolve this? I'm trying to use the ContextCapture app.
I'm new to point clouds. I see in a youtube video "Point Cloud Advanced" is this in Descartes. Descartes in 08.11.09.263 and Microstation is 08.11.09.292. I know it is behind. I've been just using the "point cloud" tools in Microstation. I also see Bentley Maps, does this replace Descartes? I see Bentley Point tools. Can you give me a little history? Does Microstation Connect have more point cloud tools? thanks
Is it possible to convert any 3D model(like OBJ or DGN) to S3C/3MX or 3SM format?
I have created a reality model using contextcapture and uploaded to a webserver. However when I open the model in the AppCCWebViewer2 it defaults to STK World Terrain Mesh and places the model in space. Changing the terrain type to WGS84 brings the model back down to earth but it is still floating hundred+ metres above the ground.
How can I fix this and also set the default terrain display so it is not in space?
Thanks
Which scalar fields Contextcapture uses for point cloud processing? I know it uses RGB,Intensity, GPStime but does it benefit if there is any extra fields like scan angle or classification?
So I am having an issue understanding SRS and vertical datums. I have a data set that was initially WGS84 from phantom 4 pro and inspire 1 data capture. Then I added in my control points. This moved the data to a different system NAD83(2011) / LOUISIANA SOUTH (FTUS). This is what I want but I am having a final problem. I want the vertical datum to place my data set at the WGS84 standard ellipsoid (EPSG 4326). I have a visual to show how it currently rests. The first image is using NAD83 correctly oriented if I wanted it at NAD83.
This next image places the intended basemap for WGS 84 (EPSG 4326)
As you can see the model position is way below the intended location of the model. I realize this is likely due to ellipsoid vs geoid but I cant figure out how to get it in the right space. I tried to change the vertical datum with an over ride but it flipped the model on a 45 degree angle. I don't have the image of that unfortunately. Any advice and steps/images on how to place this in the right location would be appreciated.