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#earth_engine #geemap #geospatial #gis #google_earth_engine #ipyleaflet #ipywidgets #jupyter_notebook #landsat #mapping #python #remote_sensing #tutorials #jupyter #dataviz #gee #satellite #google_earth_engine_tutorials #google_earth_engine_python_tutorials #geemap_tutorials #python_tutorials #ipyleaflet_tutorials #folium #folium_tutorials #geospatial_data_science #data_science #programming #dem #leafmap #geopandasКомментарии:
Fascinating ❤️
Ответитьthat's awsome! is it included in the geospatial package?
ОтветитьAmazing, I can't wait for the next model!
ОтветитьA very good job! It's helpful!
ОтветитьHi professor does this can deal with jp2 in addition to tif thanks
ОтветитьHi professor when I downloaded and import your Jupiter into my vscode ‘ no module import samgeo then I opened conda into my env to install pop up a error ‘ no matching distribution found for samgeo ‘ and ‘could not find a version that satisfies the requirement samgeo’ how can I solve and succeed to install in my own computer thanks
ОтветитьThank you for this great tutorial.
I hope you will continue to work on development and keep us updated with this kind of long videos that explain a lot about (SAM).
I have a question :
What are the possibilities of applying this model to data such as SAR?
Is possible to add the label of each segmentation?
ОтветитьMuito bom! Poderia gravar mais vídeos sobre a temática. Como por exemplo, como adaptar o código para inserir uma imagem de Satélite. tif ao invés de basemap. O plug-in Geometric Attributes no QGIS também trabalha com o SAM, poderia fazer um passo a passo mostrando como escolher os limiares no plug-in, me pareceram confusos. Finalmente, gostaria de parabenizá-lo pelos conteúdos postados e pelo compartilhamento de ideias, ferramentas e conhecimentos.
ОтветитьThis is wonderful! I was wondering if it works to make a footprint out of buildings with this tool.
Ответить感谢你的工作😀
ОтветитьThank you very much for sharing this work with us, can you please tel me how did you select the default SAM hyperparamter ? Is it subjective or you did some hyperparamter tunning? if the last one on which data did you tuned it?
I'm asking this question in order to know if this default value are ok to you SamGeo for crops Land boundary detection, or I should try to tweak the hyperparamters. Any recommendation on that would be very appreciated. Thanks again
新手想問,你能否製作一個本地端的.py,不要用colab方式
不知道可不可以!?
Great video, I would like to ask something basic. Is it possible to segment aerial images with one class like buildings etc. ? Images are .jpg, I am looking for something exactly like this but I guess there is something that I do not understand.
Ответитьvery great work and nice tutorial👍
ОтветитьCan we use this model for land cover classes?
ОтветитьCongratulations on your work, it is a great contribution to the gis community. I would like to know if it is possible to download the segment in shp, geojos or some other format to open it in a desktop GIs.
Thank you very much, greetings from Uruguay
Can someone explain, please, in the sense of getting such a segmentation, where we cannot label, but it segments everything in a row? Thanks for tutorial
ОтветитьHello Dr.
How can I access the raw data returned from SAM(list of dictionaries that contain information about the generated masks). In the package file in the generate() function I noticed it's initially assigned to self.mask but later self.mask gets overwritten in save_mask() function that is called withing generate(). And in the case that output in not passed when calling generate() and default is None, I keep getting an error.
Thank you laoshi, but can you make a video to show how to convert the results of SAM model from images to excel file?
ОтветитьGreat tutorial sir, Where the output result stored
ОтветитьFantastic tutorial. Is there a way to segment Uint16 images? I have tried the code and it only allows segmentation of Uint8 data type, but that pixel depth is too low for the Sentinel-2 imagery I am using
ОтветитьDoes it work to detect crop rows?
ОтветитьThis is absolutely brilliant! I was working on field delineation with machine learning and the results from traditional CV algorithms were subpar. I am confident that this will be a great tool. Thank you.
ОтветитьHi, I read the documnet, there is a example about swimming pool. i also tried setting the mask as trees, and it was successful to mark the area containing trees. So my question is do you set up other labels to mark? like grass, shrubs? Thank you, your videos and documents are really helpful!
Ответить吴老师厉害,感谢老师,只是全英文讲解,对于我来讲有点吃力!
ОтветитьSir, can you tell me the exact name/source of the downloaded satellite data? Actually, I using it for publication.
ОтветитьSometimes localtileserver conflicts with samgeo and doesn't add the raster properly above the basemap.
ОтветитьHello, I was using the algorithm and I noticed that when I use the polygon to highlight an area of interest, the resulting mask extends to regions that were not selected. Could you please provide any suggestions to fix that? Thank you
ОтветитьHas anyone try identifying solar panels? I did it but it didn’t pick it up and only detected a few roofs instead
ОтветитьWhoever created this... Who you people come up with this things outa nowhere
ОтветитьThanks sir. This is great contribution
ОтветитьDear Qiusheng, thanks a lot for the tutorial, I have been following your videos on Segmentation using SAM, do you know how we can assign a class label to each segmented object in the image?
ОтветитьTHANK YOU!
ОтветитьAmazing ! Thank you so much :)
ОтветитьHigh quality informations ! thanks again for this work !!
ОтветитьIs it possible to get same color for similar objects....for eg one color for all the trees and so on
ОтветитьIs there a second part to this which shows the classification process after the segmentation is done?
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