Research Object Crate for GIMP Image Annotator

# gimp-image-annotator *gimp-image-annotator or GIÀ, a lightweight GIMP plug-in to alllow for computer vision-assisted image annotation using the powerful GIMP selection toolbox.* **Installation** Follow the guide here: https://en.wikibooks.org/wiki/GIMP/Installing_Plugins to find how to install GIMP plug-ins on your system, save the file `image-annotator.py` in GIMP's plug-in folder. In GIMP v2.x, the plug-in system relies on deprecated python2. On Windows, a version of python2 is included in the installation of GIMP, so you only need to follow the plug-in installation. On Linux, we recommend using the Flatpak version of GIMP, as it comes with the correct python2 binaries inlcluded. On Linux, the plug-in may need to be made executable with the command `chmod a+x /path/to/image-annotator.py` in order to be seen by GIMP. **Using the software** Once installed, navigate to *Toolbox* then *Image Annotator*, add the labels you want, select one, use GIMP's selection tools (e.g. The Fuzzy Select tool - a guide can be found here: https://docs.gimp.org/en/gimp-tools-selection.html) to select an area (use Quick Mask or Shift+Q to quickly see the mask you have created). **Make sure antialisaing and feathering is off, you cannot turn it off for rectangle select however it isn't used**. Once you have your desired selected area, press *Save selected mask*. Repeat until all objects are annotated. **How do I use the data?** *gimp-image-annotator* saves a binary mask of each annotation, with class of mask stored in the `_annotations.json` file. The `_annotations.json` file is structured as followed ` [{ "label": "label", "id": "0", "filename": "image.png" }] ` The masks can be inputted using most image processing software. For example in `opencv-python` it would be: ` import cv2; mask = cv2.imread(PATH, cv2.IMREAD_GRAYSCALE) `

Author

Kieran Atkins

License

GPL-3.0

Contents