GitMurf

:root {
    /* #7159de (similar to Obsidian purple) */
    --block-ref-line-color: grey;
    --block-ref-line-type: solid;
    --block-ref-line-size: 2px;
    /* Set to "inherit" for no bg color */
    --block-ref-hover-bg-color: #d4d0d026;
}

/*

petebankhead

/**
 * Script to import binary masks & create annotations, adding them to the current object hierarchy.
 *
 * It is assumed that each mask is stored in a PNG file in a project subdirectory called 'masks'.
 * Each file name should be of the form:
 *   [Short original image name]_[Classification name]_([downsample],[x],[y],[width],[height])-mask.png
 *
 * Note: It's assumed that the classification is a simple name without underscores, i.e. not a 'derived' classification
 * (so 'Tumor' is ok, but 'Tumor: Positive' is not)
 *

juliusknorr

convert google takeout archive for location history from kml to gpx and split file into one per day

gpsbabel -i kml -f Location\ History.kml -o gpx -F out.gpx
gpsbabel -t -i gpx -f out.gpx -x track,merge,pack,split,title="ACTIVE LOG # %Y%m%d" -o gpx -F split.gpx
python2 gpxsplitter.py split.gpx

DavidYKay

import cv2
import math
import numpy as np
import sys

def apply_mask(matrix, mask, fill_value):
    masked = np.ma.array(matrix, mask=mask, fill_value=fill_value)
    return masked.filled()

def apply_threshold(matrix, low_value, high_value):