If you're encountering the exception "unsupported layer units," the issue may be due to the coordinate system in use. After reviewing the logs, I found that the problem originates in the processing_utils.py file. Try reprojecting the source layer to a coordinate system other than Long/Lat.
Thank you for this. Any chance you have had success installing the plugin on a Mac? I'm having to use it on my windows partition since the dependencies would not install automatically.
Dear sir, I'm still new about deep learning and I have a question from this video, can deep learning such as convolutional neural networks (CNN) be operated using this plugin?
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
hello, I experienced a Traceback (most recent call last) when running the deepness plugin. the description is in convert_meters_to_rlayer_units raise Exception("Unsupported layer units") can you help me with the solution?
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 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.
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.
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
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If you're encountering the exception "unsupported layer units," the issue may be due to the coordinate system in use. After reviewing the logs, I found that the problem originates in the processing_utils.py file. Try reprojecting the source layer to a coordinate system other than Long/Lat.
Thanks for the video. I imported a high res tiff and getting an error "Exception: unsupported layer units"
Thank you for this. Any chance you have had success installing the plugin on a Mac? I'm having to use it on my windows partition since the dependencies would not install automatically.
Daaaaaaaang. It worked surprisingly well on .45m imagery. Thanks for sharing!
Great to hear!
Dear sir, I'm still new about deep learning and I have a question from this video, can deep learning such as convolutional neural networks (CNN) be operated using this plugin?
What if I only wanted a 2 class output? Ex. pervious and impervious. How would I specify that? Is it possible with this plugin?
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
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
hello, I experienced a Traceback (most recent call last) when running the deepness plugin. the description is in convert_meters_to_rlayer_units
raise Exception("Unsupported layer units")
can you help me with the solution?
This is a massive time saver, thank you!
You're welcome. Glad it's helpful!
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
I’ve got same problem, if u have a chance can u gimme some tips how to resolve this problem
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.
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
can i get the error value?
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
thank you, this is very helpful
You're welcome!
can i get your contact??
i want to discuss more with you
This is great thanks.
You're welcome!
Massive massive massive