rsignell-usgs

abelcallejo

Installing GDAL 3.2.1 on Amazon Linux 2

As of this day, this is probably the only and fastest way of installing it.

Package requirements

Based from the GDAL and PROJ build requirements, here is the full list of required packages to install:

rmg55

chmodsss

import csv
import numpy as np
from collections import Counter
from nltk.corpus import brown
from mittens import GloVe, Mittens
from sklearn.feature_extraction import stop_words
from sklearn.feature_extraction.text import CountVectorizer


def glove2dict(glove_filename):

ElefHead

I am writing this gist because I spent 6 hours navigating links trying to get Theano to work with CUDA on windows 10. Hopefully, you wouldn't have to. Once theano is setup and running, you can install pymc3 and it all works. I had tensorflow-gpu setup and running on windows 10; it isn't as simple as pip install theano.

I will list down the instructions, with the links where I found them. Hope this helps someone.

This set of instructions depend on anaconda. Also, this is sort of hacky in the end.

Ok let's begin.

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ahartikainen

kwinkunks

Ripping data from pseudocolour images

Because viridis, like all good colourmaps, is perceptually linear, it's easy to get the data from it: just use a greyscale version of the image. But you can rip the data from any pseudocolour image if you know (or can guess) the colourmap.

In the rip-data.py example, here's the approach:

1. Read the image and transform the values to the range 0-1.
2. Guess the colourmap, in this case it's viridis. Matplotlib conveniently gives us the RGB triples that make up a colourmap.

prakharcode

band_dict = {
  """ dictonary containing all the bands that are to be stacked
      in the following format: 
      band_index : "path/to/band"
      """
}

dst_projection = 'EPSG:4326' # the final projection

ref_band = "path/to/ref_band/" # the band that you want as a reference

andrewdhicks

jesserobertson

import pathlib
from itertools import product

from tqdm import tqdm
import rasterio

import geosoft
import geosoft.gxpy.gx as gx
import geosoft.gxpy.coordinate_system as gxcs
import geosoft.gxpy.grid as gxgrid