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I have an annotation task which was created for 10 ".png" images. Inside annotation file all files have ".jpg" extension. It isn't correct and leads to problems when you try to use scripts to convert data into COCO format.
The text was updated successfully, but these errors were encountered:
- Relax coco extractor (none for super category by default)
Now it is possible to load coco_instances dataset even if the annotation file doesn't have supercategory
TOsmanov
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Aug 23, 2021
* Relax importer for Pascal VOC dataset (search in subdirectories) (cvat-ai#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 (cvat-ai#54)
Now it is possible to load coco_instances dataset even if the annotation file doesn't have supercategory
* Add CamVid format support (cvat-ai#55)
Co-authored-by: Maxim Zhiltsov <[email protected]>
* Fix CamVid format (cvat-ai#57)
* Fix ImageNet format
* Fix CamVid format
* ability to install opencv-python-headless instead opencv-python (cvat-ai#62)
Allow to choose `opencv=python-headless` as dependency with `DATUMARO_HEADLESS=1` env. variable when installing
* Release 0.1.4 (cvat-ai#63)
* update version
* update changelog
Co-authored-by: Nikita Manovich <[email protected]>
Co-authored-by: Anastasia Yasakova <[email protected]>
Co-authored-by: Andrey Zhavoronkov <[email protected]>
I have an annotation task which was created for 10 ".png" images. Inside annotation file all files have ".jpg" extension. It isn't correct and leads to problems when you try to use scripts to convert data into COCO format.
The text was updated successfully, but these errors were encountered: