This utility gets annotation obtained from CVAT and converts to annotation in COCO representation. Input annotation must contain segmentation because bounding boxes of objects are calculated from its segments.
Install necessary packages and create a virtual environment.
$ sudo apt-get update
$ sudo apt-get install -y --no-install-recommends python3-pip python3-venv python3-dev python3-tk libgtk-3-dev gcc$ python3 -m venv .env
$ . .env/bin/activate
$ cat ../requirements.txt requirements.txt | xargs -n 1 -L 1 pip install
Run the script inside the virtual environment.
python converter.py --cvat-xml </path/to/cvat/annotation.xml> --output </path/to/output/coco/annotation.json> --image-dir </path/to/directory/with/images> --draw </path/to/save/directory> --draw_labels --use_background_labelPlease run python converter.py --help for more details.
The script parses input annotation and find field labels to find which labels are presented. If were not found any labels in annotation, script try to parse text file labels.txt in the same directory as annotation. This file should include labels in one string separated by spaces or one label per string and also their combinations. For example:
label1 label2
label3