johnwbryant

#!/bin/bash
# see https://github.com/microsoft/RoadDetections

# 1) get the data
wget https://usaminedroads.blob.core.windows.net/road-detections/Oceania-Full.zip

# 2) extract the records for Australia, second column of tsv only 
zgrep AUS Oceania-Full.zip | cut -f2 > AUS.geojson

# 3) convert to GPKG, works better in QGIS

fhk

ChaitanyaBaweja

## Importing Necessary Modules
import requests # to get image from the web
import shutil # to save it locally

## Set up the image URL and filename
image_url = "https://cdn.pixabay.com/photo/2020/02/06/09/39/summer-4823612_960_720.jpg"
filename = image_url.split("/")[-1]

# Open the url image, set stream to True, this will return the stream content.
r = requests.get(image_url, stream = True)

zacjszewczyk

# A syllable dictionary I built with Python. See https://zacs.site/blog/building-a-syllable-dictionary-with-python.html for the full writeup.
# 
# This work is licensed under a Creative Commons Attribution 4.0 International License
# See https://zacs.site/disclaimers.html for more information.
# © 2012-2019 Zachary Szewczyk.

a,1
a,1
aa,1
aal,-1

andrewjong

import torch
from torchvision import datasets

class ImageFolderWithPaths(datasets.ImageFolder):
    """Custom dataset that includes image file paths. Extends
    torchvision.datasets.ImageFolder
    """

    # override the __getitem__ method. this is the method that dataloader calls
    def __getitem__(self, index):

webbower

// http://en.wikipedia.org/wiki/Fisher-Yates_shuffle#The_modern_algorithm
// https://stackoverflow.com/a/12646864/2684520

// Pre-ES6
/**
 * Randomize array element order in-place.
 * Using Durstenfeld shuffle algorithm.
 */
function shuffleArray(array) {
    for (var i = array.length - 1; i > 0; i--) {

kmjjacobs

#%% (0) Important libraries
import tensorflow as tf
import numpy as np
from numpy import random
import matplotlib.pyplot as plt
from IPython import display
% matplotlib inline

#%% (1) Dataset creation.

ericls

// Use hacker news API as example
async function getData() {
  const ids = await (await fetch('https://hacker-news.firebaseio.com/v0/topstories.json')).json()
  const data = Promise.all(
    ids.map(async (i) => await (await fetch(`https://hacker-news.firebaseio.com/v0/item/${i}.json?print=pretty`)).json())
  )
  return data
}

getData()

webbower

function generateImageFromText(text, width, height) {
    // TODO Add auto-wrapping logic when text is too wide
    // TODO Add tiered text scaling (if height > 200: font-size = 36; else if height > 100: font-size = 18; etc)
    const canvas = document.createElement('canvas');
    canvas.width = width;
    canvas.height = height;

    const ctx = canvas.getContext('2d');
    const fontSize = Math.min(height, 36);
    ctx.fillStyle = '#212121';

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',