asjohnston-asf

from osgeo import gdal, osr
from nisar.products.readers import open_product

# get the data bands
gcov = open_product('NISAR_L2_PR_GCOV_045_107_A_031_4005_DHDH_A_20240621T144514_20240621T144551_T00410_N_F_J_001.h5')
hhhh = gcov.getImageDataset(frequency='A', polarization='HHHH')
hvhv = gcov.getImageDataset(frequency='A', polarization='HVHV')

# compute your RGB pixel values here
red = hhhh[:,:]

scottstanie

#!/usr/bin/env python
# requirements: h5py, rich
import sys

import h5py
from rich.console import Console
from rich.table import Table


def _get_object_metadata(obj) -> tuple[str, float, float] | None:

dmccreary

#!/bin/sh
# this program has been updated to list both the images and the largest images and the slide numbers together
# get the parameter
echo "working on" "$1"
rm -r /tmp/big-images 2> /dev/null
mkdir /tmp/big-images
# copy the ppt file to /tmp
cp "$1" /tmp/big-images
# rename it to be .zip
mv "/tmp/big-images/$1" "/tmp/big-images/$1.zip"

ajelenak

# Requirements:
# HDF5 library version 1.10.5 or later
# h5py version 3.0 or later
# pip install git+https://github.com/HDFGroup/zarr-python.git@hdf5

import logging
from urllib.parse import urlparse, urlunparse
import numpy as np
import h5py
import zarr

ajelenak

Ritaqk

{"lastUpload":"2020-08-05T17:57:14.476Z","extensionVersion":"v3.4.3"}

kwinkunks

mpl2qgis

See script below.

Make sure the Python file is executable. Then:

$ ./mpl2qgis.py viridis bone

This writes a file colourmaps.xml. Result:

lucwj

Verify You Have a CUDA-Capable GPU

To verify that your GPU is CUDA-capable, go to your distribution's equivalent of System Properties, or, from the command line, enter:

lspci | grep -i nvidia

If you do not see any settings, update the PCI hardware database that Linux maintains by entering update-pciids (generally found in /sbin) at the command line and rerun the previous lspci command.

If your graphics card is from NVIDIA and it is listed in CUDA-GPUS, your GPU is CUDA-capable.

aiguofer

Find out how much memory each of the jupyter notebooks running on a server is using. Helpful for knowing which ones to shut down.

Original code from http://stackoverflow.com/questions/34685825/jupyter-notebook-memory-usage-for-each-notebook

You'll need to

pip install tabulate psutil pandas requests

lmarkus

Extracting Emoji From Slack!

Slack doesn't provide an easy way to extract custom emoji from a team. (Especially teams with thousands of custom emoji) This Gist walks you through a relatively simple approach to get your emoji out.

If you're an admin of your own team, you can get the list of emoji directly using this API: https://api.slack.com/methods/emoji.list. Once you have it, skip to Step 3

HOWEVER! This gist is intended for people who don't have admin access, nor access tokens for using that list.

Follow along...