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39 lines
1.4 KiB
Markdown
39 lines
1.4 KiB
Markdown
# Utility for converting CVAT XML annotation file to MS COCO json format
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## Description
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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.
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## Installation
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Install necessary packages and create a virtual environment.
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```bash
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$ sudo apt-get update
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$ sudo apt-get install -y --no-install-recommends python3-pip python3-venv python3-dev python3-tk libgtk-3-dev gcc
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```
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```
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$ python3 -m venv .env
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$ . .env/bin/activate
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$ cat ../requirements.txt requirements.txt | xargs -n 1 -L 1 pip install
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```
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## Usage
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Run the script inside the virtual environment.
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```bash
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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_label
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```
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Please run `python converter.py --help` for more details.
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#### Labels
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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:
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```
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label1 label2
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label3
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```
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