Skip to content

Python OpenGL Tool for Screenshots of Surface Overlays

License

Notifications You must be signed in to change notification settings

Deep-MI/WhipperSnapPy

Repository files navigation

WhipperSnapPy

WhipperSnapPY is a small Python OpenGL program to render FreeSurfer and FastSurfer surface models and color overlays and generate screen shots.

Contents:

  • Capture 4x4 surface plots (front & back, left and right)
  • OpenGL window for interactive visualization

Installation:

The WhipperSnapPy package can be installed from pypi via

python3 -m pip install whippersnappy

Note, that currently no off-screen rendering is natively supported. Even in snap mode an invisible window will be created to render the openGL output and capture the contents to an image. In order to run this on a headless server, inside Docker, or via ssh we recommend to install xvfb and run

sudo apt update && apt install -y python3 python3-pip xvfb libxcb-xinerama0
pip3 install pyopengl glfw pillow numpy pyrr PyQt6
pip3 install whippersnappy
xvfb-run whippersnap ...

Usage:

Local:

After installing the Python package, the whippersnap program can be run using the installed command line tool such as in the following example:

whippersnap -lh $OVERLAY_DIR/$LH_OVERLAY_FILE \
            -rh $OVERLAY_DIR/$RH_OVERLAY_FILE \
            -sd $SURF_SUBJECT_DIR \
            --fmax 4 --fthresh 2 --invert \
            --caption caption.txt \
            -o $OUTPUT_DIR/whippersnappy_image.png \

For more options see whippersnap --help. Note, that adding the --interactive flag will start an interactive GUI that includes a visualization of one hemisphere side and a simple application through which color threshold values can be configured.

Docker:

The whippersnap program can be run within a docker container to capture a snapshot by building the provided Docker image and running a container as follows:

docker build --rm=true -t whippersnappy -f ./Dockerfile .
docker run --rm --init --name my_whippersnappy -v $SURF_SUBJECT_DIR:/surf_subject_dir \
                                               -v $OVERLAY_DIR:/overlay_dir \
                                               -v $OUTPUT_DIR:/output_dir \
                                               --user $(id -u):$(id -g) whippersnappy:latest \
                                               --lh_overlay /overlay_dir/$LH_OVERLAY_FILE \
                                               --rh_overlay /overlay_dir/$RH_OVERLAY_FILE \
                                               --sdir /surf_subject_dir \
                                               --output_path /output_dir/whippersnappy_image.png

In this example: $SURF_SUBJECT_DIR contains the surface files, $OVERLAY_DIR contains the overlays to be loaded on to the surfaces, $OUTPUT_DIR is the local output directory in which the snapshot will be saved, and ${LH/RH}_OVERLAY_FILE point to the specific overlay files to load.

Note: The --init flag to Docker is needed for the xvfb-run tool to be used correctly for off screen rendering.

API Documentation

The API Documentation can be found at https://deep-mi.org/WhipperSnapPy .

Links:

We also invite you to check out our lab webpage at https://deep-mi.org