Ramiro Aznar ramiroaznar

## clickhouse_to_markdown.md

      
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                alrocar
                / clickhouse_to_markdown.md
            
            
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              August 15, 2022 01:00
            
              
                Export from ClickHouse to Markdown table
              
          
    SQL

SELECT
  number a,
  number + 1 b,
  number + 2 c
FROM numbers(100) INTO OUTFILE '/tmp/tt.md'
FORMAT Template
SETTINGS

  
## pansharpening.md

      
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                celoyd
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              March 28, 2024 12:27
            
          
    Pansharpening notes, mid-2021

First posted in August 2021. This is basically a snapshot of my thinking about pansharpening at that time; I’m not making any substantial updates. Last typo and clarity fixes in February 2023.
Preface

This is a collection of notes on how I’ve been approaching convolutional neural networks for pansharpening. It’s an edited version of an e-mail to a friend who had asked about this tweet, so it’s informal and somewhat silly; it’s not as polished as, say, a blog post would be. It’s basically the advice I would give to an image processing hobbyist before they started working on pansharpening.
If you want a more serious introduction, start with the literature review in Learning deep multiresolution representations for pansharpening. Most of the academic work I would recommend is mentioned there.

  
## VegaChart.js
/**
 *  @fileOverview React component to wrap Vega.js chart rendering.
 *  @author Xavi Giménez (xavi@xavigimenez.net)
 */

import React, { Component } from 'react';
import * as vega from 'vega';
import * as _ from 'lodash';
var vegaTooltip = require('vega-tooltip/build/vega-tooltip');

## app.js
'use strict';

var DEFAULTS = {
    endpoint: 'http://jsanz.cartodb.com/api/v1/map',
    sql: 'select * from ne_10m_populated_places_simple',
    cartocss: [
	"#layer['mapnik::geometry_type'=1] {",
	"  marker-width: 7;",
	"  marker-fill: #EE4D5A;",
	"  marker-fill-opacity: 0.9;",

## index.html
<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <meta http-equiv="X-UA-Compatible" content="IE=Edge,chrome=1">
        <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, minimum-scale=1, user-scalable=no">
        <title>Torque category selector</title>
        <link rel="stylesheet" href="http://libs.cartocdn.com/cartodb.js/v3/3.14/themes/css/cartodb.css" />
        <style type="cartocss/text" id="cartocss">
            Map {
	/**
	* @fileOverview React component to wrap Vega.js chart rendering.
	* @author Xavi Giménez (xavi@xavigimenez.net)
	*/

	import React, { Component } from 'react';
	import * as vega from 'vega';
	import * as _ from 'lodash';
	var vegaTooltip = require('vega-tooltip/build/vega-tooltip');
	'use strict';

	var DEFAULTS = {
	endpoint: 'http://jsanz.cartodb.com/api/v1/map',
	sql: 'select * from ne_10m_populated_places_simple',
	cartocss: [
	"#layer['mapnik::geometry_type'=1] {",
	" marker-width: 7;",
	" marker-fill: #EE4D5A;",
	" marker-fill-opacity: 0.9;",
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta http-equiv="X-UA-Compatible" content="IE=Edge,chrome=1">
	<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, minimum-scale=1, user-scalable=no">
	<title>Torque category selector</title>
	<link rel="stylesheet" href="http://libs.cartocdn.com/cartodb.js/v3/3.14/themes/css/cartodb.css" />
	<style type="cartocss/text" id="cartocss">
	Map {