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JavaScript 94 行
HTML 26 行
pure webgl 4 texture
onload = function() {
var canvas, gl, program, vtx, texcoord,
canvas = document.getElementById('world');
if (!canvas || !canvas.getContext)
gl = canvas.getContext('experimental-webgl');
alert(&no webgl&);
gl.viewportWidth = gl.canvas.
gl.viewportHeight = gl.canvas.
gl.clearColor(0.5, 0.5, 0.5, 1.0);
gl.clearDepth(10.0);
gl.enable(gl.DEPTH_TEST);
gl.depthFunc(gl.LEQUAL);
var vertices =
-1.0, -1.0,
1.0, -1.0,
vtx = gl.createBuffer();
gl.bindBuffer(gl.ARRAY_BUFFER, vtx);
gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(vertices), gl.STATIC_DRAW);
var texcoords =
texcoord = gl.createBuffer();
gl.bindBuffer(gl.ARRAY_BUFFER, texcoord);
gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(texcoords), gl.STATIC_DRAW);
var vs = gl.createShader(gl.VERTEX_SHADER);
gl.shaderSource(vs, document.getElementById('shader-vs').innerHTML);
gl.compileShader(vs);
if (!gl.getShaderParameter(vs, gl.COMPILE_STATUS))
alert(gl.getShaderInfoLog(vs));
var fs = gl.createShader(gl.FRAGMENT_SHADER);
gl.shaderSource(fs, document.getElementById('shader-fs').innerHTML);
gl.compileShader(fs);
if (!gl.getShaderParameter(fs, gl.COMPILE_STATUS))
alert(gl.getShaderInfoLog(fs));
program = gl.createProgram();
gl.attachShader(program, vs);
gl.attachShader(program, fs);
gl.linkProgram(program);
if (!gl.getProgramParameter(program, gl.LINK_STATUS))
alert(gl.getProgramInfoLog(program));
gl.useProgram(program);
program.vertex = {};
program.vertex.position = gl.getAttribLocation(program, 'aVertexPosition');
gl.enableVertexAttribArray(program.vertex.position);
program.vertex.texcoord = gl.getAttribLocation(program, 'aTexCoord');
gl.enableVertexAttribArray(program.vertex.texcoord);
program.samplerUniform = gl.getUniformLocation(program, 'uSampler');
program.blockUniform = gl.getUniformLocation(program, 'uBlock');
var img = document.getElementById('texture');
tex = gl.createTexture();
gl.activeTexture(gl.TEXTURE0);
gl.bindTexture(gl.TEXTURE_2D, tex);
gl.pixelStorei(gl.UNPACK_FLIP_Y_WEBGL, true);
gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGB, gl.RGB, gl.UNSIGNED_BYTE, img);
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);
gl.bindTexture(gl.TEXTURE_2D, null);
gl.viewport(0, 0, gl.viewportWidth, gl.viewportHeight);
gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
gl.bindBuffer(gl.ARRAY_BUFFER, vtx);
gl.vertexAttribPointer(program.vertex.position, 3, gl.FLOAT, false, 0, 0);
gl.bindBuffer(gl.ARRAY_BUFFER, texcoord);
gl.vertexAttribPointer(program.vertex.texcoord, 2, gl.FLOAT, false, 0, 0);
gl.uniform1i(program.samplerUniform, 0);
gl.uniform1f(program.blockUniform, 1);
gl.activeTexture(gl.TEXTURE0);
gl.bindTexture(gl.TEXTURE_2D, tex);
gl.drawArrays(gl.TRIANGLE_STRIP, 0, 4);
gl.flush();
&canvas id='world' width='256px' height='256px'&
&script id=&shader-vs& type=&x-shader/x-vertex&&
attribute vec3 aVertexP
attribute vec2 aTexC
varying vec2 vTexC
void main() {
gl_Position = vec4(aVertexPosition, 1);
vTexCoord = aTexC
&script id=&shader-fs& type=&x-shader/x-fragment&&
uniform sampler2D uS
uniform float uB
varying vec2 vTexC
void main() {
vec2 pos = floor(vTexCoord.xy * 400.0 / uBlock) * uBlock / 400.0;
vec4 color = texture2D(uSampler, pos);
gl_FragColor = vec4(color.xyz, 1.0);
&img id=&texture& style=&display:&
src=&data:image/base64,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&
pure webgl 4 texture
background-color: #DDDDDD;
font: 30px sans-
padding: 0
width: 100%;
height: 100%;
onload = function() {
var canvas, gl, program, vtx, texcoord,
canvas = document.getElementById('world');
if (!canvas || !canvas.getContext)
gl = canvas.getContext('experimental-webgl');
alert(&no webgl&);
gl.viewportWidth = gl.canvas.
gl.viewportHeight = gl.canvas.
gl.clearColor(0.5, 0.5, 0.5, 1.0);
gl.clearDepth(10.0);
gl.enable(gl.DEPTH_TEST);
gl.depthFunc(gl.LEQUAL);
var vertices =
-1.0, -1.0,
1.0, -1.0,
vtx = gl.createBuffer();
gl.bindBuffer(gl.ARRAY_BUFFER, vtx);
gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(vertices), gl.STATIC_DRAW);
var texcoords =
texcoord = gl.createBuffer();
gl.bindBuffer(gl.ARRAY_BUFFER, texcoord);
gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(texcoords), gl.STATIC_DRAW);
var vs = gl.createShader(gl.VERTEX_SHADER);
gl.shaderSource(vs, document.getElementById('shader-vs').innerHTML);
gl.compileShader(vs);
if (!gl.getShaderParameter(vs, gl.COMPILE_STATUS))
alert(gl.getShaderInfoLog(vs));
var fs = gl.createShader(gl.FRAGMENT_SHADER);
gl.shaderSource(fs, document.getElementById('shader-fs').innerHTML);
gl.compileShader(fs);
if (!gl.getShaderParameter(fs, gl.COMPILE_STATUS))
alert(gl.getShaderInfoLog(fs));
program = gl.createProgram();
gl.attachShader(program, vs);
gl.attachShader(program, fs);
gl.linkProgram(program);
if (!gl.getProgramParameter(program, gl.LINK_STATUS))
alert(gl.getProgramInfoLog(program));
gl.useProgram(program);
program.vertex = {};
program.vertex.position = gl.getAttribLocation(program, 'aVertexPosition');
gl.enableVertexAttribArray(program.vertex.position);
program.vertex.texcoord = gl.getAttribLocation(program, 'aTexCoord');
gl.enableVertexAttribArray(program.vertex.texcoord);
program.samplerUniform = gl.getUniformLocation(program, 'uSampler');
program.blockUniform = gl.getUniformLocation(program, 'uBlock');
var img = document.getElementById('texture');
tex = gl.createTexture();
gl.activeTexture(gl.TEXTURE0);
gl.bindTexture(gl.TEXTURE_2D, tex);
gl.pixelStorei(gl.UNPACK_FLIP_Y_WEBGL, true);
gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGB, gl.RGB, gl.UNSIGNED_BYTE, img);
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);
gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);
gl.bindTexture(gl.TEXTURE_2D, null);
gl.viewport(0, 0, gl.viewportWidth, gl.viewportHeight);
gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
gl.bindBuffer(gl.ARRAY_BUFFER, vtx);
gl.vertexAttribPointer(program.vertex.position, 3, gl.FLOAT, false, 0, 0);
gl.bindBuffer(gl.ARRAY_BUFFER, texcoord);
gl.vertexAttribPointer(program.vertex.texcoord, 2, gl.FLOAT, false, 0, 0);
gl.uniform1i(program.samplerUniform, 0);
gl.uniform1f(program.blockUniform, 1);
gl.activeTexture(gl.TEXTURE0);
gl.bindTexture(gl.TEXTURE_2D, tex);
gl.drawArrays(gl.TRIANGLE_STRIP, 0, 4);
gl.flush();
&canvas id='world' width='256px' height='256px'&
&script id=&shader-vs& type=&x-shader/x-vertex&&
attribute vec3 aVertexP
attribute vec2 aTexC
varying vec2 vTexC
void main() {
gl_Position = vec4(aVertexPosition, 1);
vTexCoord = aTexC
&script id=&shader-fs& type=&x-shader/x-fragment&&
uniform sampler2D uS
uniform float uB
varying vec2 vTexC
void main() {
vec2 pos = floor(vTexCoord.xy * 400.0 / uBlock) * uBlock / 400.0;
vec4 color = texture2D(uSampler, pos);
gl_FragColor = vec4(color.xyz, 1.0);
&img id=&texture& style=&display:&
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描述 是怎样的游戏？}