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kostrykin
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Thanks! Some comments inside.
Co-authored-by: Leonid Kostrykin <void@evoid.de>
Co-authored-by: Leonid Kostrykin <void@evoid.de>
Co-authored-by: Leonid Kostrykin <void@evoid.de>
Co-authored-by: Leonid Kostrykin <void@evoid.de>
Co-authored-by: Leonid Kostrykin <void@evoid.de>
Co-authored-by: Leonid Kostrykin <void@evoid.de>
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Hi Mohammad. I added previously added content from the older PR (sorry, I was not seeing there was 2 identicial PR...) proposing a format more linked with GTN material with hands-on, comment tip and warning. I also propose to be co-author and to propose this tutorial in both Imaging and Ecology GTN sections (if this seems ok for you @shiltemann @bebatut @hexylena ). Plaese, don't hesitate to modify / comment / revert ! |
Co-authored-by: Leonid Kostrykin <void@evoid.de>
Co-authored-by: Leonid Kostrykin <void@evoid.de>
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@yvanlebras I agree. We can have this tutorial for both - Ecology and BioImaging. Actually, i was talking to @sunyi000 two days back and he suggested the same. He plans to work on a new tutorial for |
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@yvanlebras @kostrykin thank you very much for your work on this. @mjoudy please address the issues mentioned |
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For SEANOE data part, I can also add some steps further to take all txt files to produce a summary of number of each species detected if relevant / of interest. |
Thanks Yvan. sorry I had made a mistake and opened two PR. after a while I closed one of them. |
Thank you Anup for suggestions. Actually, as far as I know, images and models in the BioImage zoo are not yolo-based. Please let me know if there are any. Currently, I am looking for some bio-inspired yolo pre-trained models to make a better example for the segmentation part. |
kostrykin
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Regarding the linting issue…
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I have gathered a list of open issues:
- https://github.com/galaxyproject/training-material/pull/6258/files#r2230652505
- https://github.com/galaxyproject/training-material/pull/6258/files#r2230658220
- https://github.com/galaxyproject/training-material/pull/6258/files#r2270065822
- https://github.com/galaxyproject/training-material/pull/6258/files#r2244759562
I was actually going to work on this one, but I got blocked by the one below: - https://github.com/galaxyproject/training-material/pull/6258/files#r2270096781
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Hi everyone. Really sorry to come back just now on this PR! I created a new history to try on "just" 2 input images https://usegalaxy.eu/u/ylebras/h/yolo-training-on-just-2-images so we can put these files in Zenodo for a more easier to follow and use tutorial! Will try to create the GTN Zenodo repo, and / or Arthur will continue and finish this tutorial! |
shiltemann
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Thanks @mjoudy! I just pushed some changes to address the linting errors.
Thanks @yvanlebras and @kostrykin for reviewing testing and improving this
The error is with the toolshed.g2.bx.psu.edu/repos/bgruening/yolo_predict/yolo_predict/8.3.0+galaxy4 tool, @sunyi000 can you maybe help with this? |
from the output in history, looks like a detection model is used for segmentation tasks, so the masks are |
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Hi everyone, hope all is ok for each of you. It seems to me the tuto is in a standby process. If ok for you all, I can propose to modify it removing the last part "Segmentation with an Ultralytics example" just malking prediction on underwater species? Also, I wanted to push this tuto on Ecology topic. Can we put this tuto on both Imaging and Ecology topics ? |
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Please feel free to take it over @yvanlebras. Thanks. |
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Thanks @yvanlebras 👍 For adding a tutorial to two topics, I recently implemented this, have a look at the subtopics section of this tutorial https://galaxyproject.github.io/training-material/topics/contributing/tutorials/create-new-topic/tutorial.html#subtopics and also this PR: #6531 basically you can define |
Hi all,
This is a tutorial for yolo prediction tool based on deepsea seanoe dataset. Please kindly give your feedback.