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Updated input image formats and corrected parameter attributes.
Removed class_name parameter from inputs and tests for YOLO prediction.
kostrykin
reviewed
Feb 26, 2026
Updated input image parameter to support TIFF format and added a validator for RGB channel count.
Removed commented-out test cases for segment and detect modes.
Updated input_images parameter to include a help message and validation for RGB channels.
Enhance input image parameter for TIFF support
Updated help text and validation for input images in YOLO training configuration.
Updated input_images parameter to support TIFF files with 1 or 3 channels and improved validation message.
Contributor
Author
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So normally this can be merged. I checked carefully: there is only one ERROR in the lint, and it is only for the version in json2yolosegment.xml. Before merging, I wanted to ask if it would be better to set yolo_training to version galaxy5, since the PR that was supposed to create this version did not go through. |
bgruening
reviewed
Mar 6, 2026
bgruening
approved these changes
Mar 6, 2026
Owner
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Thanks a lot! |
Contributor
Author
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Hello @bgruening, |
Owner
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See #1798 We need to add a specific label, then the linting is skipped and its deployed. See also newer PR templates and documentation. |
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This pull request aims to add class support to the tool. In training, it is now possible to provide the list of classes. I removed the class input from prediction because it did not provide class names and was only used to know the number of classes. It has been replaced with the classes already known by the model.