bemasher

import pathlib
import cv2 as cv
import numpy as np
from skimage.measure import LineModelND, ransac

srcPath = pathlib.Path('input')
dstPath = pathlib.Path('output')

k = cv.getStructuringElement(cv.MORPH_CROSS, (3, 3))

bemasher

package main

import (
	"bytes"
	"fmt"
	"io"
	"io/ioutil"
	"log"
	"os"
	"path/filepath"

bemasher

package offline

import (
	"io"
	"log"
	"math/rand"
	"os"
	"testing"
	"time"

bemasher

This has become a full-blown project, see: https://github.com/bemasher/rtlamr-collect

bemasher

CREATE CONTINUOUS QUERY cq_five_years_home ON rtlamr BEGIN
	SELECT min(*), mean(*), max(*)
	INTO rtlamr.five_years.home
	FROM rtlamr.three_days.home
	GROUP BY time(1d), "name"
END

bemasher

# Maintainer: Daniel Nagy <danielnagy at gmx de>
# Contributor: Nicolas Bigaouette <[email protected]>
# Contributor: Vojtech "kralyk" Kral
# Contributor: Douglas Hall <[email protected]>

pkgname='intel-opencl-sdk'
pkgver=2016_6.0.0.1049
pkgrel=0
pkgdesc="Intel’s implementation of the OpenCL standard optimized for Intel processors."
arch=('x86_64')

bemasher

$ go get -u -v github.com/bemasher/rtlamr
github.com\bemasher\rtlamr (download)
github.com\bemasher\rtltcp (download)
github.com/bemasher/rtlamr

bemasher

package contains

import (
	"regexp"

	"strings"
)

func ContainsToUpper(s, substr string) bool {
	return strings.Contains(strings.ToUpper(s), strings.ToUpper(substr))

bemasher

uniform int iterations;
uniform vec2 scale, seed;

#define PI 3.14159265358979323846

void main(void) {
	vec2 z =(gl_TexCoord[0].xy - 0.5) * scale;
	int i = 1;
	for(; dot(z, z) <= 4.0 && i < iterations; i++) {
		z = vec2(z.x * z.x - z.y * z.y, (z.x + z.x) * z.y) + seed;

bemasher

(:= T1 xi[0])
(:= T6 xi[6])
(:= T2 xi[4])
(:= T3 xi[8])
(:= T4 (+ T2 T3))
(:= T32 (+ T3 (- T2)))
(:= T7 xi[10])
(:= T8 xi[2])
(:= T9 (+ T7 T8))
(:= T33 (+ T8 (- T7)))