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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta http-equiv="X-UA-Compatible" content="ie=edge" />
<title>BilibiliOcr</title>
<style>
.canvas {
position: relative;
/* height: 260px;
width: 260px; */
}
.pos {
color: white;
display: flex;
align-items: center;
justify-content: center;
/* position: absolute; */
/* height: 25px;
width: 25px; */
border: 3px solid white;
border-radius: 50%;
background-color: #539ffe;
box-sizing: border-box;
box-shadow: 0 0 10px black;
}
</style>
</head>
<body>
<div class="canvas"></div>
<!-- <img src="https://static.geetest.com/nerualpic/word_l1_zh_2020.03.16/harley1/2cbacc3068dbde3905fa848726eab3d2.jpg" alt=""> -->
</body>
<script>
class BilibiliOcr {
constructor(props) {
// props: url, el
this.props = props;
this.data = {
img: {
primaryWidth: 324,
primaryHeight: 324,
// width: 324,
// height: 324,
width: 260, // 其实就是可视范围的宽，也可以在el中取宽，但还是先分开再说
height: 260,
countAvg: 80, // 对比值 - 差
countStart: 2, // 对比起始值
countEnd: 20, // 结束值 --- 超出则算是背景图
recWidth: 50, // 锁定盒子宽度(越小盒子越多) - 该值修改可能recHandle内部也要微调
bigDataMax: 7000, // 像素点超出不计算
dupImpurityValue: 200, // 去除范围杂质(数值以内的矩形不考虑)保证个数到校验的数量含以上
recWidthAgain: 80, // 第二次锁定盒子宽度，扩大选取范围 - 该值修改可能recRender内部也要微调
diff: 60, // 计算像素点可包含的容差值
continuityDiff: 15, // 二次过滤像素点容差值 - 该值修改可能recRenderDataFilter内部也要微调
posDiff: 30, // 选中矩形与字符进行像素点比较值，若没有则会递归变大
canvas: "",
ctx: "",
// 1296 为下一个起始列值
// nextCol: 1296,
// 被选中的点位
bigData: [],
// data数值
imageData: {},
// 原始数据
oldImageData: {},
// 被选中的矩形方阵数据
recData: [],
// 被选中的矩形方阵数据 - 转换为颜色 - 渲染就绪
colorArr: [],
...props.img
},
verImg: {
width: 116,
height: 40,
// 验证码跟图是在一块的，则x、y是从该图的坐标开始截取
verImgX: 0,
verImgY: 344,
canvas: "",
ctx: "",
imageData: {},
// 几个字
num: 0,
// 字数数据
textArr: [],
...props.verImg
},
pos: {
width: 25
// height: "25px",
// position: "absolute"
}
};
this.call = {
success: () => {},
fail: () => {}
};
this.init();
}
init() {
this.verImgInit();
// this.imgInit()
}
verImgInit() {
const img = new Image();
const _this = this;
let { canvas, ctx, width, height, verImgX, verImgY } = this.data.verImg;
img.crossOrigin = "Anonymous";
img.src = this.props.url;
img.onload = function() {
canvas = document.createElement("canvas");
ctx = canvas.getContext("2d");
canvas.width = width;
canvas.height = height;
ctx.drawImage(
this,
verImgX,
verImgY,
width,
height,
0,
0,
width,
height
);
_this.data.verImg.canvas = canvas;
_this.data.verImg.ctx = ctx;
// document.body.appendChild(canvas);
_this.verImgHandle();
};
}
verImgHandle() {
// 检查几个字
const num = this.checkNumber();
this.data.verImg.num = num;
console.log("当前字个数为：", num);
// 不光是这边退出，textPix也没做4个字的分割处理
if (num > 3) {
console.warn("识别数字大于3，跳过");
this.call.fail();
return;
}
// 计算像素点
const arr = this.textPix();
console.log("校验字体像素点为：", arr);
// arr.map(item => console.log(`第${item.key}个像素点为`, item.val))
this.data.verImg.textArr = arr;
// 初始化图片
this.imgInit();
}
imgInit() {
const { width, height, primaryWidth, primaryHeight } = this.data.img;
const img = new Image();
const _this = this;
img.crossOrigin = "Anonymous";
img.src = this.props.url;
img.onload = function() {
const canvas = document.createElement("canvas");
const ctx = canvas.getContext("2d");
// canvas.width = 344
canvas.width = width;
canvas.height = height;
ctx.drawImage(
this,
10,
10,
primaryWidth,
primaryHeight,
0,
0,
width,
height
);
// ctx.drawImage(this, 0, 0)
// TODO 测试
// canvas.width = 100
// canvas.height = 100
// ctx.drawImage(this, 60, 195, 100, 100, 0, 0, 100, 100)
_this.data.img.canvas = canvas;
_this.data.img.ctx = ctx;
// document.querySelector(".canvas").appendChild(canvas);
_this.imgHandle();
};
}
imgHandle() {
let { width, height, ctx } = this.data.img;
this.data.img.imageData = ctx.getImageData(0, 0, width, height);
this.data.img.oldImageData = JSON.parse(
JSON.stringify(this.data.img.imageData)
);
// 置灰
this.grayscale();
// 初步捕获对比度
this.pixels();
// 矩形降噪
this.recHandle();
// 矩形渲染
this.recRender();
// 重置像素点 - 会影响效果 注释吧
// this.rezCanvas()
// 计算像素点 - 及计算区域中的高频反差像素
this.computePix();
// 打点
this.posRender();
}
pixels() {
const { imageData, countAvg, countStart, countEnd } = this.data.img;
// 100 * 100 * 4 = 40000 像素点
// 100 * 1 * 4 = 400
// 前后对比值 突然超过 90 且 超过后在 > 2 < 10 个像素点内 比开始的对比值高 即可，若超过10个像素仍然很高，则放弃
const _this = this;
let data = imageData.data;
let preVal,
nowVal,
isBig,
bigCount = 0,
bigData = [];
for (let i = 0, j = 0; i < data.length; i += 4, j += 4) {
if (!preVal) {
preVal = data[i];
// 当前无值，则跳过第一次
if (!nowVal) {
continue;
}
}
nowVal = data[i];
if (Math.abs(preVal - nowVal) > countAvg && bigCount < countEnd) {
bigCount++;
bigData.push(i);
} else {
bigCount = 0;
bigData = [];
preVal = data[i];
}
if (bigCount > countStart && bigCount < countEnd) {
for (let _i = 0; _i < bigData.length; _i++) {
data[bigData[_i]] = 0;
data[bigData[_i] + 1] = 255;
data[bigData[_i] + 2] = 0;
_this.data.img.bigData.push(bigData[_i]);
}
bigData = [];
}
}
this.data.img.ctx.putImageData(imageData, 0, 0);
}
// 矩形去噪 - 盒子宽度
recHandle(recWidth = this.data.img.recWidth) {
const {
imageData,
width,
bigDataMax,
dupImpurityValue
} = this.data.img;
const nextCol = width * 4;
let data = imageData.data;
let bigData = this.data.img.bigData;
let newBigData = [];
// 盒子统计数据
let recData = [];
let recDataAvg;
if (bigData.length > bigDataMax) {
console.warn(
`捕获到超出${bigDataMax}的像素点，过于复杂不计算`,
bigData.length
);
this.call.fail();
return;
}
if (!bigData.length) {
console.warn("无像素点捕获，退出");
this.call.fail();
return;
}
// console.log("%c" + this.data.img.bigData, "color: green")
// TODO 可以修改i值调试位置
for (let i = 0; i < bigData.length; i++) {
// 列
let line =
bigData[i] - parseInt(recWidth / 2) * (nextCol - recWidth * 4);
// let line = bigData[i]
// 防止突破顶端
if (line <= 0) {
line = bigData[i] - parseInt(recWidth / 2) * 4;
}
// 防止突破左端
if (nextCol - (line % nextCol) <= recWidth * 4) {
line += recWidth * 4 - (nextCol - (line % nextCol));
}
// 防止突破右端
if (nextCol - (line % nextCol) <= recWidth * 4) {
line -= recWidth * 4 - (nextCol - (line % nextCol));
}
recData.push({
data: [],
val: 0,
bigDataKey: i,
sum: 0
});
for (let j = 0; j < recWidth; j++) {
// 行
let j_s = line + j * nextCol;
let j_e = line + j * nextCol + recWidth * 4;
for (let z = j_s; z < j_e; z += 4) {
if (data[z + 1] === 255) {
recData[i].data.push(z);
recData[i].sum++;
}
}
}
// recData[i].val = bigData[i]
recData[i].val = line;
}
// 升序
recData = recData.sort(this.compare("sum"));
// 综合去重
recData = this.dupRemoval(recData);
// 去除范围杂质
recData = this.dupImpurity(recData, dupImpurityValue);
// recDataAvg = (recData[0].sum + recData[recData.length - 1].sum) / 2
console.log("一共点数：", bigData.length);
console.log("降噪后值，取前六名：", recData);
// console.log('平均值：', recDataAvg)
recData.map(item => {
item.data.map(items => {
data[items] = 255;
data[items + 1] = 0;
data[items + 2] = 0;
newBigData.push(items);
});
});
this.data.img.ctx.putImageData(imageData, 0, 0);
this.data.img.recData = recData;
this.data.img.bigData = newBigData;
console.log("捕获点数：", newBigData.length);
}
// 矩形填充
recRender(recWidth = this.data.img.recWidthAgain) {
const {
bigData,
width,
recData,
imageData,
ctx,
canvas
} = this.data.img;
const nextCol = width * 4;
let data = imageData.data;
// let len = recData.length > 6 ? 6 : recData.length
let recRenderData = [];
for (let i = 0; i < recData.length; i++) {
// 15 是 (recWidth - 50 / 2)
let line = recData[i].val - 15 * nextCol - 15 * 4;
if (line < 0) {
line = recData[i].val;
}
recData[i].recRenderData = [];
for (let j = 0; j < recWidth; j++) {
// 行
let j_s = line + j * nextCol;
let j_e = line + j * nextCol + recWidth * 4;
for (let z = j_s; z < j_e; z += 4) {
// TODO 测试矩形位置
// data[z] = 0
// data[z + 1] = 0
// data[z + 2] = 255
data[z + 3] = 100;
recData[i].recRenderData.push(z);
}
}
}
this.data.img.ctx.putImageData(imageData, 0, 0);
}
// 还原canvas
rezCanvas() {
const { imageData, oldImageData } = this.data.img;
let data = imageData.data;
let oldData = oldImageData.data;
for (let i = 0; i < data.length; i += 4) {
data[i] = oldData[i]; // red
data[i + 1] = oldData[i + 1]; // green
data[i + 2] = oldData[i + 2]; // blue
}
this.data.img.ctx.putImageData(imageData, 0, 0);
}
// 计算像素点
computePix() {
const {
recData,
imageData,
diff,
width,
height,
continuityDiff
} = this.data.img;
// TODO 容差值
let data = imageData.data;
let colorArr = [];
let sortArr = [];
// 转换像素点，重组数组
recData.map((item, i) => {
colorArr.push({
key: i,
data: [],
colorMax: 0,
recRenderData: item.recRenderData,
sum: 0,
x: 0,
y: 0,
xyCenter: 0,
chooseNo: 0
});
item.data.map(val => {
colorArr[i].data.push(data[val]);
});
colorArr[i].colorMax = this.colorMax(colorArr[i].data);
});
colorArr.map((item, _i) => {
// if (_i > 0) return
item.recRenderData.map(i => {
if (Math.abs(data[i] - item.colorMax) < diff) {
item.sum++;
data[i] = 255;
data[i + 1] = 0;
data[i + 2] = 0;
// data[i + 3] = 0
}
});
// 矩形去噪 --- 是否要从 大 到小 递归下continuityDiff值？因为有些图去不掉
// 还有各种 纵横长方形的东西 - 长，高，diff值
this.recRenderDataFilter(
item,
data,
"longRec",
continuityDiff * 4,
continuityDiff * width,
continuityDiff
);
this.recRenderDataFilter(
item,
data,
"heightRec",
continuityDiff,
continuityDiff * width * 2 * 2,
continuityDiff
);
// 计算居中值 - 不是取值的居中数而是取数组的中间数
// 矩形像素点为偶数
if (item.recRenderData.length % 2 === 0) {
// 列数 + 行数 = 居中数
item.xyCenter =
item.recRenderData[
item.recRenderData.length / 2 +
Math.sqrt(item.recRenderData.length) / 2
];
} else {
// 奇数
item.xyCenter =
item.recRenderData[parseInt(item.recRenderData.length / 2)];
}
// 计算坐标
item.x = ((item.xyCenter / 4) % width) - 10;
item.y = (item.xyCenter / 4 - item.x) / width - 10;
});
// 添加排序字段
sortArr = JSON.parse(JSON.stringify(colorArr)).sort(
this.compare("sum")
);
sortArr.map((item, i) => {
colorArr.find(items => {
if (item.key === items.key) {
items.chooseNo = i;
return true;
}
});
});
this.data.img.ctx.putImageData(imageData, 0, 0);
this.data.img.colorArr = colorArr;
console.log(colorArr);
}
// 长宽矩形去噪
recRenderDataFilter(
item,
data,
type,
diffILen,
diffJLen,
continuityDiff
) {
const { width, imageData } = this.data.img;
let recRenderDataHandle = [];
let _sum = 0;
item.recRenderData.map((__i, index) => {
// if (index !== 4400) return
for (let j = __i; j < __i + diffILen; j += 4) {
for (let z = j; z < j + diffJLen; z += 4 * width) {
if (data[z] === 255) {
_sum++;
recRenderDataHandle.push(__i);
// data[z] = 0
// data[z + 1] = 255
// data[z + 2] = 0
} else {
_sum = 0;
recRenderDataHandle = [];
break;
}
}
}
// console.log(_sum)
if (_sum >= continuityDiff * 6) {
recRenderDataHandle.map(___i => {
data[___i] = 0;
data[___i + 1] = 255;
data[___i + 2] = 0;
// data[___i + 3] = 255
});
item.sum--;
_sum = 0;
recRenderDataHandle = [];
}
});
}
// 数据匹配以及打点
posRender(diff = this.data.img.posDiff, txAlArr = [], colorAlArr = []) {
const { colorArr } = this.data.img;
const { textArr } = this.data.verImg;
const pos = this.data.pos;
textArr.map(item => {
// 若捕获值跟校验个数相同，则按大到小选中
if (textArr.length === colorArr.length) {
colorArr.find(items => {
if (items.chooseNo === item.chooseNo) {
const dom = document.createElement("div");
dom.className = "pos";
// dom.style.left = items.x + "px";
// dom.style.top = items.y + "px";
dom.innerText = item.key + 1;
// dom.style.visibility = "hidden";
// dom.style = {
// ...dom.style,
// ...pos,
// visibility: "hidden",
// left: items.x + "px",
// top: items.y + "px"
// };
dom.style.height = dom.style.width = pos.width + "px";
dom.style.left = items.x + "px";
dom.style.top = items.y + "px";
dom.style.visibility = "hidden";
dom.style.position = "absolute";
this.props.el && this.props.el.appendChild(dom);
// document.querySelector(".canvas").appendChild(dom);
setTimeout(() => {
this.call.success(
item.key,
this.getOffsetLeft(dom) + pos.width / 2,
this.getOffsetTop(dom) + pos.width / 2,
item.key === textArr.length - 1
);
}, item.key * 200);
txAlArr.push(item.key);
return true;
}
});
return;
}
if (txAlArr.includes(item.key)) {
return;
}
// 若捕获数不相同（其实只可能比字数多，前面已经做校验了），则按照像素点临近的去匹配
colorArr.find(items => {
if (colorAlArr.includes(items.key)) {
return;
}
if (Math.abs(items.sum - item.val) < diff) {
// TODO 这里是模拟渲染，正式脚本环境请转换为模拟点击图片
const dom = document.createElement("div");
dom.className = "pos";
// dom.style = {
// ...dom.style,
// ...pos,
// visibility: "hidden",
// left: items.x + "px",
// top: items.y + "px"
// };
dom.style.height = dom.style.width = pos.width + "px";
dom.style.left = items.x + "px";
dom.style.top = items.y + "px";
dom.style.visibility = "hidden";
dom.style.position = "absolute";
dom.innerText = item.key + 1;
this.props.el && this.props.el.appendChild(dom);
// document.querySelector(".canvas").appendChild(dom);
setTimeout(() => {
this.call.success(
item.key,
this.getOffsetLeft(dom) + pos.width / 2,
this.getOffsetTop(dom) + pos.width / 2,
item.key === textArr.length - 1
);
}, item.key * 200);
txAlArr.push(item.key);
colorAlArr.push(items.key);
return true;
}
});
});
// debugger
// 若最相近的点位找不到，则扩大diff值递归
if (txAlArr.length < textArr.length) {
this.posRender(diff + 30, txAlArr, colorAlArr);
}
}
// 计算color中出现最多的值
colorMax(arr) {
let data = {};
let newArr = [];
// 累积
arr.map(val => {
if (data[val + ""] >= 0) {
data[val + ""]++;
return;
}
data[val + ""] = 0;
});
let max = {
key: 0,
val: 0
};
newArr = Object.keys(data);
// 超过10个像素点才可进行分割
if (newArr.length > 10) {
for (let i = 0; i < newArr.length / 2; i++) {
delete data[newArr[i]];
}
}
// 比较
Object.keys(data).map(key => {
if (data[key] > max.val) {
max = {
key,
val: data[key]
};
}
});
// console.log('color中出现最多的值', max)
return max.key;
}
textPix() {
const { num, width } = this.data.verImg;
const mid = parseInt(width / 4 / 2) * 4;
let arr = [];
let sortArr = [];
if (num === 3) {
arr.push(
{
key: 0,
val: this.isCheckThickness(
mid + parseInt(width / 4) * 4 - 4,
width,
mid + parseInt(width / 4) * 4,
true
)
},
{
key: 1,
val: this.isCheckThickness(
mid + (width / 2) * 4,
width,
width,
true
)
},
{
key: 2,
val: this.isCheckThickness(
width * 4 - 4,
width,
mid + parseInt(width / 4) * 4,
true
)
}
);
} else {
// 2字
arr.push(
{
key: 0,
val: this.isCheckThickness(
parseInt(width / 2) * 4 - 4,
width,
parseInt(width / 2) * 4,
true
)
},
{
key: 1,
val: this.isCheckThickness(
width * 4 - 4,
width,
parseInt(width / 2) * 4,
true
)
}
);
}
// 添加值排序字段(不改变当前顺序)
// TODO
sortArr = JSON.parse(JSON.stringify(arr)).sort(this.compare("val"));
sortArr.map((item, i) => {
arr.find(items => {
if (item.key === items.key) {
items.chooseNo = i;
return true;
}
});
});
return arr;
}
checkNumber() {
let { canvas, width, ctx } = this.data.verImg;
let imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
let data = imageData.data;
const mid = parseInt(width / 4 / 2) * 4;
this.data.verImg.imageData = imageData;
// 测试左侧是否有值
let isL1 = this.isCheckThickness(mid, width);
let isL2 = this.isCheckThickness(mid + parseInt(width / 4) * 4, width);
let isL3 = this.isCheckThickness(mid + (width / 2) * 4, width);
let isL4 = this.isCheckThickness(mid * 3 + (width / 2) * 4, width);
// 处理特殊情况 - 居中线
let isL5 = this.isCheckThickness(mid * 2 + (width / 2) * 2, width);
// 都碰到为4
if (isL1 && isL2 && isL3 && isL4) {
return 4;
}
// 左边没擦到，最右边没擦到
else if (!isL5) {
return 2;
}
return 3;
}
// 检测个数
isCheckThickness(mid, width, fine = 3, isSum = false) {
let { imageData } = this.data.verImg;
const data = imageData.data;
let isTrue = false;
let sum = 0;
for (let i = mid; i < data.length; i += width * 4) {
for (let j = 0; j < fine; j += 4) {
let _i = i - j;
if (data[_i] < 200) {
if (isSum) {
sum++;
} else {
return true;
}
// return true
// break
}
// data[_i] = 255; // red
// data[_i + 1] = 0; // green
// data[_i + 2] = 0; // blue
}
}
this.data.verImg.ctx.putImageData(imageData, 0, 0);
if (isSum) {
return sum * 3;
}
return isTrue;
}
// 置灰
grayscale() {
const { imageData } = this.data.img;
let data = imageData.data;
for (let i = 0; i < data.length; i += 4) {
let avg = (data[i] + data[i + 1] + data[i + 2]) / 3;
data[i] = avg;
data[i + 1] = avg;
data[i + 2] = avg;
}
this.data.img.ctx.putImageData(imageData, 0, 0);
}
// 综合去重
dupRemoval(data) {
let dupArr = [];
return data.map(item => {
let newItem = [];
item.data.map(val => {
if (!dupArr.includes(val)) {
dupArr.push(val);
newItem.push(val);
} else {
item.sum--;
}
});
return {
...item,
data: newItem
};
});
}
// 去杂质 --- 递归直到算到符合校验的个数
dupImpurity(data, val) {
const { num } = this.data.verImg;
let newData = [];
data.map(item => item.sum >= val && newData.push(item));
if (newData.length < num) {
return this.dupImpurity(data, val - 10);
}
return newData;
}
// 升序
compare(property) {
return (now, next) => {
let val1 = now[property];
let val2 = next[property];
return val2 - val1;
};
}
getOffsetTop(el) {
let top = el.offsetTop;
let parent = el.offsetParent;
while (parent) {
top += parent.offsetTop;
parent = parent.offsetParent;
}
return top;
}
getOffsetLeft(el) {
let left = el.offsetLeft;
let parent = el.offsetParent;
while (parent) {
left += parent.offsetLeft;
parent = parent.offsetParent;
}
return left;
}
on(key, fn) {
if (this.call[key]) {
this.call[key] = fn;
}
}
}
const Ocr = new BilibiliOcr({
url: "./img/1.jpg",
el: document.querySelector(".canvas")
});
// 返回的是屏幕坐标
Ocr.on("success", (key, x, y, isEnd) => {
console.log(key, x, y);
});
Ocr.on("fail", () => {
console.log("fail");
});
// b站自动执行脚本
const autoBilibiliOcr = () => {
setTimeout(() => {
// 重置 - 尝试次数过多
if (
document.querySelector(".geetest_panel_error").style.display !==
"none"
) {
document.querySelector(".geetest_panel_error_content").click();
autoBilibiliOcr();
return;
}
// 成功
if (
document.querySelector(".geetest_panel_next").style.display === "none"
) {
return;
}
var Ocr = new BilibiliOcr({
url: document.querySelector(".geetest_item_img").src,
el: document.querySelector(".geetest_item_wrap")
});
// 返回的是屏幕坐标
Ocr.on("success", (key, x, y, isEnd) => {
console.log(key, x, y);
var evt = document.createEvent("MouseEvents");
evt.initMouseEvent(
"click",
true,
false,
null,
0,
0,
0,
x - 135,
y - 180,
false,
false,
false,
false,
0,
null
);
document.querySelector(".geetest_item_wrap").dispatchEvent(evt);
if (isEnd) {
document.querySelector(".geetest_commit").click();
setTimeout(() => {
// 重置 - 等待fail状态结束
if (
document.querySelector(
".geetest_result_tip.geetest_up.geetest_fail"
)
) {
setTimeout(() => {
autoBilibiliOcr();
}, 1500 + parseInt(Math.random() * 1000));
return;
}
}, 500);
}
});
Ocr.on("fail", () => {
// 重置
document.querySelector(".geetest_refresh").click();
console.log("fail");
autoBilibiliOcr();
});
}, 800 + parseInt(Math.random() * 1000));
};
</script>
</html>