DEEP LEARNING in QGIS: Image Segmentation (Aerial and Satellite) with the DEEPNESS Plugin
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- เผยแพร่เมื่อ 20 ก.พ. 2024
- The QGIS Deepness Plugin allows you to perform deep neural remote sensing directly in QGIS with pre-trained models. This tutorial demonstrates how to install the Deepness plugin, download pre-trained deep-learning models, and apply existing models to aerial and satellite images. This is one way you can apply Geo AI directly in QGIS.
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This is a massive time saver, thank you!
You're welcome. Glad it's helpful!
Daaaaaaaang. It worked surprisingly well on .45m imagery. Thanks for sharing!
Great to hear!
thank you, this is very helpful
You're welcome!
This is great thanks.
You're welcome!
Are there any pre-trained models available for high-resolution drone images, or does it require training? thanks for sharing
There aren't any with this plug-in. You you may be able to find some elsewhere
Thank you for this great video. I have a problem, when I wannt to load the model deeplabv3_landcover_4c.onnx on Deepnes, I get this error "Error! Failed to load the model! Model may be not usable." Why could it be? From already thank you very much
To be honest, I'm not sure. You'll have to look into the deepness documentation and ask their team
I had the same error when using Qgis version 3.34, and with version Qgis 3.28 model loaded without any problems
Massive massive massive
can i get the error value?
Dear Sir, Many thanks for this greate video. I followed the stepa you mentioned and I installed the deepness plugin successfully and test it then when I triedd to apply it on a rater image it gives python error and a message " This plugin is incompatible with this version of QGIS
Plugin designed for QGIS 3.22 - 3.99" despite I am using QGIS 3.18. Any help will be appreciated.
Many thanks Sir, I figured out that it seems I need to reinstall some of the other python package couple of times and it is now working. Thank you again
You need to update we qgis so that your version is at least 3.22
Can the first model work on images from Google? Thanks for the video
Maybe. You'll have to give it a try and perform some accuracy analysis. As with any model, it's going to be wrong sometimes. You'll have to determine if it will work for you specific application.
@@geospatialschool thanks I tried it but I guess it was designed for Poland and a bit of Europe. The result accuracy was very poor
Sir can we map demolition and construction waste using this?
To my understanding, you have to train your detection model first with sample images with lable boxes of your object of interest. Then you get a model and use on QGIS here.
there are any object based classification model for Landsat ?
Object-based classification is usually implemented with high res data where objects (like trees or buildings) are composed of many pixels. Landsat is coarse enough that pixel-based methods are generally used, though I'm sure there are some object based approaches if you look around