Interactive Image Registration for JupyterLab
Registration is achieved by selecting reference ("ground control") points on both
.PTS file is output containing pixel coordinates of corresponding points.
Eventually, a new GeoTIFF can be output, we're working on it 🤙🏽.
You'll need both the JupyterLab widget, as well as the python library:
jupyter labextension install @ceresimaging/rej pip install rej
import rej rej.register('./file1.tiff', './file2.tiff')
This should bring up the interactive UI shown above inside your jupyter notebook. Clicking "Save" will output a PTS file, which may be applied to the images to transform them. Enjoy!
Effective Rej Development
pip install -r requirements.txt && pip install -e . && jupyter nbextension enable --py widgetsnbextension && jupyter labextension install --no-build @jupyter-widgets/jupyterlab-manager && npm install
- In one terminal:
npm run watch
- In another terminal:
npm run jupyterlab
Run outside JupyterLab for faster dev iteration
If you're working on a feature/bug that doesn't require jupyterlab, you may prefer to develop inside Vue CLI's hot-reloading app mode. To do this:
npm run serve
Publish an updated version to pypi & npm (this will also update the ICIN build)
- Increment "version" in
npm run install
npm run build
npm run publish:all