轻松纺车
[英]Ease on spinning wheel
问题描述
我正在创造一个像游戏一样的财富之轮，目前正在开车。 我想为车轮添加缓和效果，使旋转变得逼真。 我之前没有关于缓动的知识，所以我在JavaScript中使用了Easing简介中的代码。
var canvas = document.getElementById("canvas"); var context = canvas.getContext("2d"); var img = new Image(); img.src = 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"; context.resetTransform(); context.translate(205, 205); context.drawImage(img, -201,-201,402,402); var angle = 0; var angularVelocity = .01; function draw() { // ease out angularVelocity += .0035; angle -= (1 / angularVelocity); context.resetTransform(); context.clearRect(0, 0, canvas.width, canvas.height); context.translate(205, 205); context.rotate(angle * Math.PI/180); context.drawImage(img, -201,-201,402,402); spin = requestAnimationFrame(draw); } function startSpin() { spin = requestAnimationFrame(draw); }
body { background: gainsboro; margin: 0; } #container { position: relative; margin: 20px; margin-left: 40px; display: table; } canvas { background: white; box-shadow: 0 0 3px rgba(0,0,0,.2); } input { display: block; padding: 5px 10px; margin: auto; } img { height: 40px; position: absolute; top: 185px; left: -33px; }
<div id="container"> <img src="http://i1115.photobucket.com/albums/k544/akinuri/arrow.png" /> <canvas id="canvas" width="410" height="410"></canvas> <input type="button" value="Spin" onclick="startSpin()"/> </div>
轻松工作正常，但不完整。 旋转不会结束。 当它太慢时，我想结束它。 我不知道应该检查什么来结束纺纱。 我该如何结束？
更新 ：亚历克斯的答案解决了这个问题，但我想添加另一个功能。 旋转总是以100结束。这是不现实的。 它应该有所不同。 所以我使用了动态最大速度而不是1 。
var angle = 0;
var angularVelocity = 0.001;
var minVelocity = 0.9;
var maxVelocity = 0;
function draw() {
angularVelocity += .0025;
angle -= (1 / angularVelocity);
context.resetTransform();
context.clearRect(0, 0, canvas.width, canvas.height);
context.translate(205, 205);
context.rotate(angle * Math.PI/180);
context.drawImage(img, -201,-201,402,402);
if (angularVelocity < maxVelocity){
spin = requestAnimationFrame(draw);
}
}
function startSpin() {
angularVelocity = 0.001;
maxVelocity = (Math.random() * 1.5).toFixed(2);
while (maxVelocity < minVelocity) {
maxVelocity = (Math.random() * 1.5).toFixed(2);
}
spin = requestAnimationFrame(draw);
}
2 个解决方案
解决方案1
5 已采纳 2016-02-26 13:47:03
试试这个=） 更新：
var canvas = document.getElementById("canvas"); var context = canvas.getContext("2d"); var img = new Image(); img.src = 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"; context.resetTransform(); context.translate(205, 205); context.drawImage(img, -201,-201,402,402); var angle = 0; var angularVelocity = .01; function draw() { // ease out angularVelocity += .0035; angle -= (1 / angularVelocity); context.resetTransform(); context.clearRect(0, 0, canvas.width, canvas.height); context.translate(205, 205); context.rotate(angle * Math.PI/180); context.drawImage(img, -201,-201,402,402); if (angularVelocity+0.1<1){ spin = requestAnimationFrame(draw); } } function startSpin() { angularVelocity = .01; spin = requestAnimationFrame(draw); }
body { background: gainsboro; margin: 0; } #container { position: relative; margin: 20px; margin-left: 40px; display: table; } canvas { background: white; box-shadow: 0 0 3px rgba(0,0,0,.2); } input { display: block; padding: 5px 10px; margin: auto; } img { height: 40px; position: absolute; top: 185px; left: -33px; }
<div id="container"> <img src="data:image/png;base64,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" id="arrow" /> <canvas id="canvas" width="410" height="410"></canvas> <input type="button" value="Spin" onclick="startSpin()"/> </div>
解决方案2
1 2016-02-26 18:52:10
更好的方便
虽然给出的答案解决了问题，但是缓解功能有一个通用的解决方案。 即使有一个公认的答案，我给出这个答案的原因是接受的答案有一个主要缺点。 它要求动画以恒定的帧速率运行。 如果帧速率下降，则车轮将显示为减速。 如果在方程中包含时间，使用导数来改变位置将改变停止位置，使整个函数不确定（angularVelocity + = .0035 * timeStep）不起作用，这种方法没有线性解。 （我曾在（赌博）游戏行业工作，不确定的职能永远不会通过认证，运营商也不希望在他们的机器中使用这样的功能）。
您需要一个可以在旋转之前精确设置奖励的功能，您需要一个不受帧时间影响的方程式，而不是之前的机器状态。
该解决方案是一种易于使用的功能，其中有许多口味。 它只是前一个答案中函数的反导数，是一种更实用的形式。
缓解
如果您绘制数学函数y = x 2，您将看到一个以x = 0为中心的抛物线，并且在x = 1时它已经上升到y = 1.如果您认为从x = 0到x = 1的值是我们的范围这个简单的公式给了我们一个easeOut函数。 对于x >= 0和x <= 1范围内的任何x值，我们得到y的调整值。 有效地将线性值转换为曲线。
但需要EaseIn
我们想要相反的，我们需要抛物线上下颠倒的公式，当x = 1时，y = 1时的最大值和x = 0时我们想要y = 0.这很容易用上面的公式来做。
- 首先翻转它会使结果为负。 y = -x 2
- 然后我们需要将y轴上的最大值移动1，因此添加一个：y = 1-x 2
- 现在我们需要将抛物线向右移动一个单位，因此从x开始。 y = 1 - （x - 1） 2
所以现在我们有一个新的曲线， x >= 0和x <= 1 ，当x接近1时，它会缓和。
让我们为easeIn和easeOut创建两个函数，我们将它们放在一个easy对象中以保持其有序。 在函数中我们要确保如果x < 0且x > 1我们不会得到错误的值，所以我们需要将x钳位到0到1的范围。
var easing = {
easeOut : function( x ) {
return Math.pow( Math.min(1, Math.max(0, x) ), 2);
},
easeIn : function( x ) {
return 1 - Math.pow( Math.min(1, Math.max(0, x) ) - 1, 2);
}
}
标准化单位。
但0到1不适合我的解决方案。 不是没有，但通过乘法很容易改变。
所以你有想要旋转的轮子。 你知道你想要它旋转多久，你知道你希望它停在哪里。
const NUMBER_PRIZES = 10; // number of prizes on the wheel.
const PRIZE_CENTER = Math.PI / NUMBER_PRIZES; // center of the prize
const DEG360 = Math.PI * 2; // use PI * two a few times so make a constant to represent 360 deg.
var timeToSpin = 10; // ten seconds.
var whereToStop = 0; // Start pos
var startTime = 0 ; // if the value of start time is undefined this will mean we want to start
var startPos = 0; // wheel start pos
因为我们想要多次重置轮子，所以我们可以创建一个旋转功能
var spinTheWheel = function(toPrize){
whereToStop %= DEG360; // Normalise the current position. This will not move it
startPos = whereToStop; // we need the start pos
// We need to move the wheel to the start so we can get the correct prize
whereToStop += DEG360 - whereToStop;
whereToStop += DEG360 * 2; // At least two turns
// Now get a random prize add a random position to the wheel stopping pos
whereToStop += (toPrize / NUMBER_PRIZES) * DEG360;
// we want the wheel to stop in the center of the prize so rotate by half a prize sector
whereToStop += PRIZE_CENTER;
}
旋转按钮的事件处理程序
var spin = function () {
var time = new Date().valueOf();
// make sure we are not spinning
if(time - startTime > timeToSpin * 1000){
startTime = undefined; // reset start time
// get a random prize
spinTheWheel ( Math.floor(Math.Random() * NUMBER_PRIZES));
}
}
所以现在我们准备动画了。 我将假设动画持续运行。
// function to draw the wheel.
function drawWheel (wheelPos) {} // todo
// main animation loop
function update(time) { // request frame gives us the time as an argument.
var spinTime, wheel; // vars we need
// is there a new spin ???
if(startTime === undefined) { // new start
startTime = time; // set the time now;
}
// get the amount of time the wheel has been spinning
spinTime = (time - startTime);
// now as the spin time is in seconds and we want normalise it to a range of 0 - 1;
// we dont care if the spin time goes out of range as the easeOut function is clamped
spinTime /= timeToSpin * 1000; // so divide by number of milliseconds.
// Now use the easeOut function to get the wheel pos in terms of spin time
wheel = easing.ease(spinTime);
// the wheel pos is in the range 0 to 1 so scale it to fit the requiered spin
wheel *= whereToStop - startPos;
// Now add the startPos back to the wheel pos.
wheel += startPos;
// Draw the wheel.
drawWheel(wheel);
// to know if the wheel is at a prize
if(spinTime >= 1) {
// todo
// your prize code here
}
requestAnimationFrame(update)
}
// start it.
requestAnimationFrame(update)
此方法将始终在正确的时间和正确的位置停止车轮。 缓动函数给出一个从0到1的值，我们使用它来通过简单的乘法获得车轮位置。 输入值只是标准化时间。 这只需要我们将时间除以旋转的时间长度。 由于缓和功能被限制，我们不必担心数值超出范围，因为数学会为我们处理。
改变曲线。
我提供的缓解功能并不能让您更改缓动量。 我们可能想要在开始时非常快速地放松，然后非常缓慢地放松，或者只是非常轻松。 幸运的是，在数学中，0到1之间的数字的功率永远不会大于1.我们可以通过提供设置缓和功率的值来使用它来改变缓动量。 它需要稍微修改easeIn功能。
var easing = {
easeOut : function( x ) {
return Math.pow( Math.min(1, Math.max(0, x) ), 2);
},
easeIn : function( x ) {
return 1 - Math.pow( Math.min(1, Math.max(0, x) ) - 1, 2);
},
ease : function( x , pow) { // add the power. the ease amount
// need to clamp the power so it does not go in the negative
return 1 - Math.pow(1 - Math.min(1, Math.max(0, x) ), Math.max(0, pow));
}
}
您现在拥有通用缓动功能。 改变战俘的价值将改变轻松。 将一个数字提高到一个分数的幂是与分数4的倒数的根相同0.5 = 2 2当该值小于1时，easy函数也会缓和。如果pow是1那么就没有缓解。 大于1的值开始缓解函数。
easing.ease(val, 0.5); // is an ease out
easing.ease(val, 2); // is an ease in
easing.ease(val, 1); // is no easing at all
easing.ease(val, 6); // is a very strong easein. fast at start slow to stop.
奖金easeInOut
当我在这里时，我不妨添加easeInOut的功能
var easing = {
easeOut : function( x ) {
return Math.pow( Math.min(1, Math.max(0, x) ), 2);
},
easeIn : function( x ) {
return 1 - Math.pow( Math.min(1, Math.max(0, x) ) - 1, 2);
},
ease : function( x , pow) { // add the power. the ease amount
// need to clamp the power so it does not go in the negative
return 1 - Math.pow(1 - Math.min(1, Math.max(0, x) ), Math.max(pow));
},
easeInOut = function (x, pow) {
pow = Math.max(0, pow); // clamp pow to >= 0
x = Math.min(1, Math.max(0, x)); // clamp x >= 0 and <= 1
var xx = Math.pow(x, pow);
return xx / (xx + Math.pow(1-x, pow))
}
}
有许多缓和功能，它们可以进行各种运动，甚至可以返回到范围之外，如果需要，可以在开始和结束时弹跳，甚至可以为旋转添加凹口（降级）。 重要的是，缓动函数的输入值在归一化范围内，并且起始x = 0和结束x = 1分别在y = 0和y = 1时结束。 这使得函数完全确定并且时间不变，您可以像前进一样轻松地向后移动。
jQuery中的纺车
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