TACIXAT

import cv2
import drawsvg
import argparse
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image, ImageDraw

def show_raster(im):
    im = cv2.cvtColor(im, cv2.COLOR_GRAY2RGB)
    plt.figure()

duckythescientist

#!/usr/bin/env python3

import sys
import os.path

import numpy as np
import skimage.io, skimage.color, skimage.transform
import sklearn.cluster
import matplotlib.pyplot as plt

TACIXAT

import cv2
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
import numpy as np
import random
import argparse

# big thanks to this answer for the sketch
# https://stackoverflow.com/a/63647647/1176872

Treeki

#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>

// munged from https://github.com/simontime/Resead

namespace sead
{
class Random
{

ankitshekhawat

#python3

def pil2datauri(img):
    #converts PIL image to datauri
    data = BytesIO()
    img.save(data, "JPEG")
    data64 = base64.b64encode(data.getvalue())
    return u'data:img/jpeg;base64,'+data64.decode('utf-8')

illia-v

#!/usr/bin/env python3.6
__author__ = 'Illia Volochii'
__license__ = 'MIT'

import binascii
import struct

initial_hash = (
    0x6a09e667f3bcc908,
    0xbb67ae8584caa73b,

samdutton

WEBVTT

00:00:00.500 --> 00:00:02.000
The Web is always changing

00:00:02.500 --> 00:00:04.300
and the way we access it is changing

jozsefsallai

%YAML 1.2
---
name: 'GoHTML'
file_extensions:
  - gohtml
  - html.go
scope: text.html.gohtml
contexts:
  main:
      - match: ''

ebraminio

// curl -X POST -H "Content-Type: application/octet-stream" --data-binary '@filename' http://127.0.0.1:5050/upload

package main

import (
	"fmt"
	"io"
	"net/http"
	"os"
	"time"

potatoqualitee

<#

	PowerShell, SqlBulkCopy and RunSpaces Speed Test
	
	-- To be used for speed testing purposes with million.csv --
	-- Will drop and recreate specified database if it exists --
	
	This script will
	- Automatically download the million row dataset if it doesn't exist
	- Drop the specified database if it exists