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[feature request] Add YOLO annotation format #66
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Updated and still not working :/ |
You also need to run the server application, which is located in the server folder mentioned here. The PR is updated and contains all the source code to support the YOLO format. A sample format is added here.
Here, Orange is the class name. |
almost worked (I ran both servers at same time, python and npm): python error:
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@leo-smi I see a permission error message in your server log. Can you provide the necessary permission?
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The temp file permission issue has been resolved, and the YOLO annotation format has been merged into the master branch. |
ERROR WHEN DOWNLOAD ANNOTATED IMAGE (THE ANNOTATIONS DOWNLOADING IS WORKING FINE): PYTHON ERROR:
SUGGESTION: ADD BULK DOWNLOAD TO DOWNLOAD ALL IMAGES AND ANNOTATION AT SAME TIME. |
@leo-smi The bulk download feature is now supported. |
Hi, thank you for your effort. The downloads is now working fine but I notice something and I have another suggestions:
put all the files (data folder) in a zip file to download. |
@leo-smi Thanks for checking in. Please ensure that you have checked the checkboxes next to the files to indicate which ones need to be downloaded. Can you confirm that all the images were checked? ![]() |
And also you are using the master branch? |
Is it possible to attach the screenshot of checked files too? |
@leo-smi Think your code is out of sync with current changes. The downloaded file should be images_with_annotations.zip. Can you pull the latest changes (master branch) and try it? |
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Thanks. I recently pushed to the master branch. Could you pull it and run it? After annotating, please click the checkbox and then the save icon for each image, followed by clicking the download button, as shown in this video: sample_example.mov |
I tested the annotation bulk download and it's not working properly. Only downloads one file without the train image name identification: I think the label should be a number instead a word (to match the .yaml file), for example:
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Regarding the numeric values, I believe they are using one-hot encoding. Currently, we don't have that mapping functionality. We can add it to the roadmap, but that will take some time. Another option is to handle the mapping through post-processing. |
Thanks! |
Add YOLO annotation format: https://docs.ultralytics.com/datasets/detect/#ultralytics-yolo-format
Thank you!
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