>>> python VOC2VOTT.py --helpusage: VOC2VOTT.py [-h] --pascal_voc_dir PASCAL_VOC_DIR --vott_file VOTT_FILE --out_dir OUT_DIR
Converts Pascal VOC datasets into VoTT json datasets.
This script is for editing annotations after they have been exported, which VoTT does not support natively.
optional arguments:
-h, --help show this help message and exit
required arguments:
--pascal_voc_dir PASCAL_VOC_DIR
Path to the directory exported by VoTT
--vott_file VOTT_FILE
Path to .vott project file to convert to
--out_dir OUT_DIR Path to output VoTT project and annotations at
Make sure your pascal voc data is separated into two folders, annotations [.xml] and images [.jpg, .png]
Set up a project in VOTT, connecting it to your dataset's images folder create a folder in which your output will be stored use that as target connection
Before executing, be sure to edit the `TAGS_LIST` variable in the `Converter` class with all the known classes/labels in your dataset
`python3 main.py --out_dir [path to directory you want to store the results] --anno_path [path to directory containing all .xml files]`
Please note that `out_dir` should be the absolute to the same directory as `[project_name].vott` mentioned earlier
Please note that `anno_path` should be the absolute to the same directory as where your dataset's images are stored.
This should produce all the necessary files that VOTT uses along with a file called `output.vott`. Rename this file to the name of `[project_name].vott` as mentioned earlier
