===================
XAITK Saliency Demo
===================
XAITK Saliency functionality demonstration via an interactive Web UI that can run locally, in jupyter or in the cloud.
A docker image is available for cloud deployment or local testing (``kitware/trame:xaitk``).
This application has been mainly tested on Linux but should work everywhere assuming all the dependencies manage to install on your system.
|image_1| |image_2| |image_3| |image_4|
.. |image_1| image:: https://raw.githubusercontent.com/XAITK/xaitk-saliency-web-demo/master/gallery/xaitk-classification-rise-4.jpg
:width: 20%
.. |image_2| image:: https://raw.githubusercontent.com/XAITK/xaitk-saliency-web-demo/master/gallery/xaitk-classification-sliding-window.jpg
:width: 20%
.. |image_3| image:: https://raw.githubusercontent.com/XAITK/xaitk-saliency-web-demo/master/gallery/xaitk-detection-retina.jpg
:width: 20%
.. |image_4| image:: https://raw.githubusercontent.com/XAITK/xaitk-saliency-web-demo/master/gallery/xaitk-similarity-1.jpg
:width: 20%
License
-------
This application is provided under the BSD Open Source License.
Installing
----------
On Linux, ``pip`` is enough to install this Python library.
.. code-block:: console
python3.9 -m venv .venv
source .venv/bin/activate
pip install -U pip xaitk-saliency-demo
Then from that virtual-environment you can run the application like below
.. code-block:: console
# Executable
xaitk-saliency-demo
# Module approach
python -m xaitk_saliency_demo.app
Within Jupyter you can do the following
.. code-block:: console
from xaitk_saliency_demo.app.jupyter import show
show()
Docker image
------------
For each commit to master the CI will push a new **kitware/trame:xaitk** image to dockerhub.
Such image can be ran locally using the following command line.
.. code-block:: console
docker run -it --rm --gpus all -p 8080:80 kitware/trame:xaitk
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"description": "===================\nXAITK Saliency Demo\n===================\n\nXAITK Saliency functionality demonstration via an interactive Web UI that can run locally, in jupyter or in the cloud.\nA docker image is available for cloud deployment or local testing (``kitware/trame:xaitk``).\nThis application has been mainly tested on Linux but should work everywhere assuming all the dependencies manage to install on your system.\n\n|image_1| |image_2| |image_3| |image_4|\n\n.. |image_1| image:: https://raw.githubusercontent.com/XAITK/xaitk-saliency-web-demo/master/gallery/xaitk-classification-rise-4.jpg\n :width: 20%\n.. |image_2| image:: https://raw.githubusercontent.com/XAITK/xaitk-saliency-web-demo/master/gallery/xaitk-classification-sliding-window.jpg\n :width: 20%\n.. |image_3| image:: https://raw.githubusercontent.com/XAITK/xaitk-saliency-web-demo/master/gallery/xaitk-detection-retina.jpg\n :width: 20%\n.. |image_4| image:: https://raw.githubusercontent.com/XAITK/xaitk-saliency-web-demo/master/gallery/xaitk-similarity-1.jpg\n :width: 20%\n\n\nLicense\n-------\n\nThis application is provided under the BSD Open Source License.\n\n\nInstalling\n----------\n\nOn Linux, ``pip`` is enough to install this Python library.\n\n.. code-block:: console\n\n python3.9 -m venv .venv\n source .venv/bin/activate\n pip install -U pip xaitk-saliency-demo\n\nThen from that virtual-environment you can run the application like below\n\n.. code-block:: console\n\n # Executable\n xaitk-saliency-demo\n\n # Module approach\n python -m xaitk_saliency_demo.app\n\nWithin Jupyter you can do the following\n\n.. code-block:: console\n\n from xaitk_saliency_demo.app.jupyter import show\n show()\n\n\n\n\nDocker image\n------------\n\nFor each commit to master the CI will push a new **kitware/trame:xaitk** image to dockerhub.\nSuch image can be ran locally using the following command line.\n\n.. code-block:: console\n\n docker run -it --rm --gpus all -p 8080:80 kitware/trame:xaitk\n",
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