[QGIS-Developer] Deepforest tree crown detection

[Paolo Cavallini]

sure, it should not be a big deal. there are several examples of
interfaces with external programs.

Il 28/05/22 08:23, Mats Elfström via QGIS-Developer ha scritto:
> Hi!
> DeepForest is a python package for predicting individual tree crowns
> from RGB imagery. Source code is available here:
> (https://github.com/weecology/DeepForest.git
> <https://github.com/weecology/DeepForest.git>).
> DeepForest uses deep learning object detection networks to predict
> bounding boxes corresponding to individual trees in RGB imagery.
> DeepForest is built on the retinanet model from the torchvision package
> and designed to make training models for tree detection simpler.
> The above I cut from the docs of Deepforest.
> My query is, would it be possible to build a QGIS interface to this
> package, like for instance for FUSION for lidar data processing?
> 
> Regards, Mats.E
> 
> -- 
> 
> *
> *
> 
> *GisKraft*, Geodatakonsult
> 
> Mats Elfström, Marsvinsholms stationsväg 80, 271 93 Ystad, Sweden
> tel: +46 70 595 39 35 / www.giskraft.se <http://www.giskraft.se>
> 
> 
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-- 
Paolo Cavallini
www.faunalia.eu - QGIS.org
training, support, development on QGIS, PostGIS and more