Urban area - Mix of buildings and vegetation



Dataset URL (Dropbox, Google Drive, GitHub…): https://drive.google.com/open?id=1Z-eG7pcHiBvGyODCcVoaz-H-mS5yhm1M
Number of images: 174
Size in MB: 1.6 GB
EXIF GPS (yes/no): yes
GCP (yes/no): no
RTK (yes/no):

Comment/Description: urban area. Mix of buildings and vegetation. Posting this data for testing…

It was taken using Pix4D capture app. I ran it in ODM : -
Left - Pix4D, Right - ODM
Nellore_2 Wall_of_building

Trying to figure out how to get sharp edges for buildings in ODM…The rest quality of point cloud is awesome!
Thanks for ODM community.


Try with updated master, if you’re running on the command line. You should see better buildings with the latest master.


Yup, try:

docker pull opendronemap/opendronemap

And then re-run the dataset with the latest code changes from the dem2mesh branch. https://github.com/OpenDroneMap/OpenDroneMap/pull/904

You can also try to tweak the --texturing-nadir-weight value (increase it to 32).


The above picture was comparison of point cloud outputs, I am trying to get the boundaries of the buildings more clearer and sharper.

And I think --texturing-nadir-weight value is used at ODMMvsTexcell stage…so I think it will not be much use to improve the point cloud.
P.s : correct me if I am wrong. Thank you. :slight_smile:

Also tried with latest commit, but the point cloud looked same…

I havent checked improvements in orthophoto yet…will try it.


My hunch is the lack of sharpness is a function of noise in the camera positions from OpenSfM. I know there’s work to improve the quality of the SfM model upstream in OpenSfM, but I haven’t yet heard the timing on that work. We likely will see improvements at this time.