canvas知识03:学写一个字案例
效果
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" 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" alt="" />
一、知识点
- 屏幕坐标系与canvas坐标系的转换;
- canvas中API的使用:路径状态保存、线的绘制及设置、虚线的使用;
- 根据速度(v=s/t)动态计算线宽及路程的计算方式;
- JS鼠标事件和触屏事件;
- 屏幕自适应的应用。
二、HTML代码
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width , height=device-height , initial-scale=1.0 , user-scalable=no">
<title>Canvas学写一个字</title>
<link rel="stylesheet" href="css/main.css">
</head>
<body>
<canvas id="mycanvas"></canvas>
<div class="controlBox">
<div class="colorBox">
<a href="javascript:;" class="color_red"></a>
<a href="javascript:;" class="color_orange"></a>
<a href="javascript:;" class="color_yellow"></a>
<a href="javascript:;" class="color_green"></a>
<a href="javascript:;" class="color_blue"></a>
</div>
<button id="clearBtn">清除</button>
<div class="clearfix"></div>
</div>
<script src="js/jquery-1.9.1.js"></script>
<script src="js/drawWord.js"></script>
</body>
</html>
三、CSS代码
body{
background-color: #333;
}
#mycanvas{
background-color: #fff; display: block; margin: 0 auto;
}
.controlBox{
margin: 10px auto;
}
.colorBox{
float: left; width: 80%;
}
.colorBox a{
border-radius: 6px; display: inline-block; width: 16%; height: 30px; box-sizing:border-box;
}
.colorBox .on{
border:solid 1px rgba(100,100,100,0.6); box-shadow: 2px 2px 5px rgba(0,0,0,0.6) inset;
}
.colorBox .color_red{ background-color: red; }
.colorBox .color_orange{ background-color: orange; }
.colorBox .color_yellow{ background-color: yellow; }
.colorBox .color_green { background-color: green;}
.colorBox .color_blue{ background-color: blue;}
#clearBtn{
border: none; border-radius: 3px; cursor: pointer; width: 20%; height: 30px; line-height: 30px;
text-align: center; float: right;
}
.controlBox #clearBtn:hover{
background-color: #e58c00;
}
.clearfix{ clear: both; }
三、JS代码(API画虚线的方法)
var myCavs = document.getElementById('mycanvas');
var context = myCavs.getContext('2d');
var startPos = null; //鼠标按下时的初始位置
var isMouseDown = false; //鼠标是否按下
var strokeColor = 'black'; //字笔画颜色
var startTime = 0; //记录鼠标按下时间
var preLineW = -1; //上一次线条宽度 // 设置canvas的尺寸
var publicW = Math.min( 660 , $(window).width()-20 );
myCavs.width = publicW;
myCavs.height = publicW;
$('.controlBox').css({
width:publicW
}); // 颜色选择
$(".colorBox a").each(function(){
$(this).click(function(){
$(this).addClass('on').siblings().removeClass('on')
var curColor = $(this).css('backgroundColor');
strokeColor = curColor;
})
})
// 功能按钮
$("#clearBtn").click(function(){
context.clearRect(0,0,myCavs.width,myCavs.height);
drawFrame();
}) // 初始化米字格
drawFrame(); // 画米字格框架方法
function drawFrame(){
context.save();
context.strokeStyle = 'red'; context.beginPath();
context.moveTo(10, 10);
context.lineTo(publicW-10,10);
context.lineTo(publicW-10,publicW-10);
context.lineTo(10,publicW-10);
context.closePath();
context.lineWidth = 3;
context.stroke(); // 画竖向的虚线
context.setLineDash([5, 10]);
context.beginPath();
context.moveTo((publicW-10)/2+5,16);
context.lineTo((publicW-10)/2+5,publicW-10);
context.lineWidth = 2;
context.stroke(); //画横向的虚线
context.beginPath();
context.moveTo(16,(publicW-10)/2+5);
context.lineTo(publicW-10,(publicW-10)/2+5);
context.lineWidth = 2;
context.stroke(); //画"\"方向虚线
context.beginPath();
context.moveTo(16,16);
context.lineTo(publicW-10,publicW-10);
context.lineWidth = 2;
context.stroke(); //画"/"方向虚线
context.beginPath();
context.moveTo(publicW-16,16);
context.lineTo(10,publicW-10);
context.lineWidth = 2;
context.stroke(); context.restore();
} // 开始绘制
function drawStart(piont02){
startPos = getCavPos(piont02);
// 记录时间和位置
startTime = new Date().getTime();
isMouseDown = true;
} // 绘制过程
function drawMove(piont02){
var s = calcDis(startPos,getCavPos(piont02));
var curTime = new Date().getTime();
var t = curTime - startTime;
var lineW = calcLineW(s,t); context.strokeStyle = strokeColor;
context.beginPath();
context.moveTo(startPos.x, startPos.y);
context.lineTo(getCavPos(piont02).x , getCavPos(piont02).y);
context.lineWidth = lineW;
context.lineCap = 'round';
context.lineJion = 'round';
context.stroke(); // 更新鼠标按下位置、按下时间、线宽
startPos = getCavPos(piont02);
startTime = curTime;
preLineW = lineW;
} // 绘制结束状态
function drawEnd(e){
isMouseDown = false;
} // 鼠标按下
myCavs.onmousedown = function(e){
// 记录鼠标按下的位置
drawStart({x:e.clientX,y:e.clientY});
e.preventDefault();
} // 鼠标移动
myCavs.onmousemove = function(e){
if(isMouseDown){
drawMove({x:e.clientX,y:e.clientY})
}
e.preventDefault();
} // 鼠标抬起
document.onmouseup = myCavs.onmouseup = function(e){
drawEnd(e);
e.preventDefault();
} // 触屏事件touchstart
myCavs.addEventListener('touchstart', function(e){
// 记录鼠标按下的位置
var touch = e.changedTouches[0];
drawStart({x:touch.pageX,y:touch.pageY});
e.preventDefault();
}) // 触屏事件touchmove
myCavs.addEventListener('touchmove', function(e){
if(isMouseDown){
var touch = e.changedTouches[0];
drawMove({x:touch.pageX,y:touch.pageY})
}
e.preventDefault();
}) // 触屏事件touchup
myCavs.addEventListener('touchup', function(e){
drawEnd(e);
e.preventDefault();
}) // 获取canvas坐标系
function getCavPos(piont){
var cavPos = myCavs.getBoundingClientRect();
return {
x:piont.x - cavPos.left,
y:piont.y - cavPos.top
}
} // 计算距离
function calcDis(startPos,endPos){
//对x,y坐标开平方
return Math.abs(Math.sqrt(
(endPos.x - startPos.x)*(endPos.x - startPos.x) + (endPos.y - startPos.y)*(endPos.y - startPos.y))
)
} // 根据速度计算线宽
function calcLineW(s,t){
var speed = s / t,
ResultlineW = 10;
// 速度很慢时
if(speed <= 0.1 ){
ResultlineW = Math.random()*10+20;
}
// 速度很快时
else if(speed > 10 ){
ResultlineW = Math.random()+2;
}
//一般速度(线性插值计算方式)
else{
ResultlineW = 26 - (speed - 0.1)/(10-0.1) * (30 - 1);
}
// 极端情况下的运笔速度(速度从0.1突然到10),重新计算
if(preLineW == -1){
return ResultlineW;
}else{
return preLineW*6/10 + ResultlineW*4/10;
}
}
四、JS代码(自定义画虚线的方法)
// 画虚线方法
function drawDotLine(sx,sy,dx,dy,dis){ //(sx,sy:起始坐标),(dx,dy:结束坐标),(dis:虚线间距)
var len,count = 0;
// 画竖向的虚线
if(sx == dx && sy !== dy){
len = Math.ceil((dy-sy)/dis/2);
for( var i=0; i<len; i++){
context.moveTo( sx, sy + dis*count );
context.lineTo( sx, sy + dis*(count+1) );
count+= 2;
}
}
//画横向的虚线
else if(sy == dy && sx !== dx){
len = Math.ceil((dx-sx)/dis/2);
for( var i=0; i<len; i++){
context.moveTo( sx + dis*count, sy );
context.lineTo( sx + dis*(count+1), sy );
count+= 2;
}
}
//画"\"方向斜线
else if((dx-sx)>0 && (dy-sy)>0){
var dis02 = Math.sqrt(dis*dis*2);
len = Math.floor((dx-sx)/dis02/2);
for( var i=0; i<len; i++){
context.moveTo( sx + dis02*count, sy + dis02*count);
context.lineTo( sx + dis02*(count+1), sy + dis02*(count+1) );
count+= 2;
}
}
//画"/"方向斜线
else if((dx-sx)<0 && (dy-sy)>0){
var dis02 = Math.sqrt(dis*dis*2);
len = Math.floor((Math.abs(dx-sx))/dis02/2);
for( var i=0; i<len; i++){
context.moveTo( sx - dis02*count, sy + dis02*count);
context.lineTo( sx - dis02*(count+1), sy + dis02*(count+1) );
count+= 2;
}
}
}
参考课程:http://www.imooc.com/learn/284
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