123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127 |
- <!Doctype html>
- <html>
- <head>
- <script src="http://s1.bdstatic.com/r/www/cache/ecom/esl/1-8-8/esl.js"></script>
-
- <script src="http://ubilabs.github.io/kd-tree-javascript/kdTree.js"></script>
- <meta charset="utf-8">
- </head>
- <style>
- html, body {
- height: 100%;
- margin: 0px;
- }
- </style>
- <body>
- <canvas id="main"></canvas>
- </body>
- <script>
- require.config({
- packages: [{
- name: 'echarts',
- location: '../src',
- main: 'echarts'
- }, {
- name: 'zrender',
- location: '../../zrender/src',
- main: 'zrender'
- }]
- });
- require(['echarts/data/KDTree'], function (KDTree) {
- var points = [];
- var points2 = [];
- var width = window.innerWidth;
- var height = window.innerHeight;
- var canvas = document.getElementById('main');
- canvas.width = width;
- canvas.height = height;
- var ctx = canvas.getContext('2d');
- for (var i = 0; i < 50000; i++) {
- var point = [Math.round(width * Math.random()), Math.round(height * Math.random())];
- points.push({
- array: point
- });
- points2.push(point);
- }
- var time = performance.now();
- var kdTree1 = new KDTree(points);
- console.log(performance.now() - time);
- var squaredDistance = function (a, b) {
- a = a.array;
- b = b.array;
- return (a[0] - b[0]) * (a[0] - b[0]) + (a[1] - b[1]) * (a[1] - b[1]);
- }
- var squaredDistance2 = function (a, b) {
- return (a[0] - b[0]) * (a[0] - b[0]) + (a[1] - b[1]) * (a[1] - b[1]);
- }
- var kdTree2 = new kdTree(points2, squaredDistance2, [0, 1]);
- // Find nearest
- var p2 = [Math.round(width * Math.random()), Math.round(height * Math.random())];
- p = {
- array: p2
- };
- var time = performance.now();
- for (var i = 0; i < 50000; i++) {
- var nearest = kdTree1.nearest(p, squaredDistance);
- }
- console.log(performance.now() - time);
- console.log(p, nearest);
- // Find nearst N
- var nearestN = [];
- var time = performance.now();
- for (var i = 0; i < 50000; i++) {
- var nearest = kdTree1.nearestN(p, 5, squaredDistance, nearestN);
- }
- console.log(performance.now() - time);
- console.log(p.array, nearestN.map(function(a) {
- return a.array;
- }));
- setTimeout(function () {
- var time = performance.now();
- for (var i = 0; i < 50000; i++) {
- var nearest = kdTree2.nearest(p2, 5);
- }
- console.log(performance.now() - time);
- console.log(p2, nearest.map(function(a) {
- return a[0];
- }));
- }, 1000);
- // var buildSplitLines = function (node, minx, miny, maxx, maxy) {
- // switch (node.axis) {
- // case 0:
- // var x = node.data[0];
- // ctx.moveTo(x + 0.5, miny);
- // ctx.lineTo(x + 0.5, maxy);
- // ctx.stroke();
- // node.left && buildSplitLines(node.left, minx, miny, node.data[0], maxy);
- // node.right && buildSplitLines(node.right, node.data[0], miny, maxx, maxy);
- // break;
- // case 1:
- // var y = node.data[1];
- // ctx.moveTo(minx, y + 0.5);
- // ctx.lineTo(maxx, y + 0.5);
- // ctx.stroke();
- // node.left && buildSplitLines(node.left, minx, miny, maxx, node.data[1]);
- // node.right && buildSplitLines(node.right, minx, node.data[1], maxx, maxy);
- // break;
- // }
- // }
- // ctx.fillStyle = 'black';
- // buildSplitLines(kdTree1.root, 0, 0, width, height);
- // ctx.fillStyle = 'red';
- // for (var i = 0; i < points.length; i++) {
- // var p = points[i];
- // ctx.fillRect(p[0], p[1], 4, 4);
- // }
- })
- </script>
- </html>
|