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Looks good, but needs some additions.
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The only problem I see is that the new format does not support changing colormap, like VOC does. But this can be added later, when needed.
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* Relax importer for Pascal VOC dataset (search in subdirectories) (#50) In some cases developers don't want to specify the exact path to Pascal VOC. Now you have to specify VOCtrainval_11-May-2012/VOCdevkit/VOC2012/. After the patch it will be possible to specify VOCtrainval_11-May-2012/. * Allow missing supercategory in COCO annotations (#54) Now it is possible to load coco_instances dataset even if the annotation file doesn't have supercategory * Add CamVid format support (#55) Co-authored-by: Maxim Zhiltsov <maxim.zhiltsov@intel.com> * Fix CamVid format (#57) * Fix ImageNet format * Fix CamVid format * ability to install opencv-python-headless instead opencv-python (#62) Allow to choose `opencv=python-headless` as dependency with `DATUMARO_HEADLESS=1` env. variable when installing * Release 0.1.4 (#63) * update version * update changelog Co-authored-by: Nikita Manovich <nikita.manovich@intel.com> Co-authored-by: Anastasia Yasakova <anastasia.yasakova@intel.com> Co-authored-by: Andrey Zhavoronkov <andrey.zhavoronkov@intel.com>
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Jan 27, 2026
* yolo v8 do not require ann files * better import for yolo v8 oriented boxes * fixing linters * export of skeletons with different sizes is now possible * renaming yolov8 to yolov8_detection * a comment why test_can_report_missing_ann_file is not needed for YOLOv8 * save only labels without parents to config file for YOLOv8 * convert masks to polygons for YOLOv8 segmentation * splitting a fucntion to reduce cognitive complexity * fixing tests * fixes * removing masks to polygon transformation * removing masks from docs * adding compare_annotations parameter to compare_datasets function
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Summary
Added support for CamVid format
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