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Commit d2e18dce authored by youjie's avatar youjie
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parent 207aaf55
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Showing with 71 additions and 71 deletions
src/components/LeaveGroupDownload/travelDays.vue
View file @ d2e18dce
......@@ -160,18 +160,79 @@
getImgColor(img,id){
return "#fff"
return
this.canvasImgColor(img,id, (callback) => {
let rgb = callback
rgb = rgb.split(',')
let rgb0 = rgb[0].split('(')
let arrRgb = [rgb0[1],rgba[1],rgb[2]]
if(this.getRgbLevel(arrRgb)>50){
return "#333"
}else{
return "#fff"
// this.canvasImgColor(img,id, (callback) => {
// let rgb = callback
// rgb = rgb.split(',')
// let rgb0 = rgb[0].split('(')
// let arrRgb = [rgb0[1],rgba[1],rgb[2]]
// if(this.getRgbLevel(arrRgb)>50){
// return "#333"
// }else{
// return "#fff"
// }
// })
},
// 获取图片颜色
canvasImgColor(imgs,ids, callback) {
var imgSrc = imgs
var upload = document.getElementById(ids)
const imgEle = document.createElement('img')
const canvas = document.createElement('canvas')
imgEle.src = imgSrc
imgEle.crossOrigin = '';
imgEle.onload = () => {
var ctx = canvas.getContext("2d");
var naturalImgSize = [imgEle.naturalWidth, imgEle.naturalHeight];
canvas.width = naturalImgSize[0];
canvas.height = naturalImgSize[1];
//绘制到canvas
ctx.drawImage(imgEle, 0, 0);
//获取imageData：rgba像素点
var imgData = ctx.getImageData(0, 0, canvas.width, canvas.height);
const leftSectionData = []
const rightSectionData = []
const oneLineImgDataLen = canvas.width * 4;
imgData.data.forEach((colorVal, i) => {
if (i % oneLineImgDataLen <= 0.5 * oneLineImgDataLen || i % oneLineImgDataLen >= 0.6 * oneLineImgDataLen) {
const inLeft = i % oneLineImgDataLen <= 0.5 * oneLineImgDataLen
if (i % 4 === 0) {
// 获取rgb均值
const curAverageRGB = (imgData.data[i] + imgData.data[i + 1] + imgData.data[i + 2]) / 3;
let leftOrRightRef = inLeft ? leftSectionData : rightSectionData;
//每个数组里存四个值：本颜色值中的r、g、b的均值，以及r、g、b三个值。
//均值一方面用于累加计算本区域的整体均值，然后再跟每个均值对比拿到与整体均值最接近的项的索引，再取该数组里的后三个值：rgb，对应着颜色
leftOrRightRef[leftOrRightRef.length] = [curAverageRGB, imgData.data[i], imgData.data[i + 1], imgData.data[i + 2]]
}
}
})
//generate average rgb
const averageOfLeft = Math.round(leftSectionData.reduce((_cur, item) => {
return _cur + item[0]
}, 0) / leftSectionData.length)
const averageOfRight = Math.round(rightSectionData.reduce((_cur, item) => {
return _cur + item[0]
}, 0) / rightSectionData.length)
//find the most near color
const findNearestIndex = (averageVal, arrBox) => {
let _gapValue = Math.abs(averageVal - arrBox[0])
let _nearColorIndex = 0
arrBox.forEach((item, index) => {
const curGapValue = Math.abs(item - averageVal)
if (curGapValue < _gapValue) {
_gapValue = curGapValue
_nearColorIndex = index
}
})
return _nearColorIndex
}
})
const leftNearestColor = leftSectionData[findNearestIndex(averageOfLeft, leftSectionData)]
const rightNearestColor = rightSectionData[findNearestIndex(averageOfRight, rightSectionData)]
upload.style.backgroundColor = `rgba(${leftNearestColor[1]},${leftNearestColor[2]},${leftNearestColor[3]},1) 0%,rgba(${rightNearestColor[1]},${rightNearestColor[2]},${rightNearestColor[3]},1)`
callback(upload.style.backgroundColor)
}
}
},
computed: {},
watch: {
......
src/plug/index.js
View file @ d2e18dce
......@@ -1743,67 +1743,6 @@ export default {
Vue.prototype.getRgbLevel = function (arr) {
return arr[0] * 0.299 + arr[1] * 0.587 + arr[2] * 0.114;
}
// 获取图片颜色
Vue.prototype.canvasImgColor = function(imgs, callback) {
var imgSrc = imgs
var upload = document.getElementById('uploadImg')
const imgEle = document.createElement('img')
const canvas = document.createElement('canvas')
imgEle.src = imgSrc
imgEle.crossOrigin = '';
imgEle.onload = () => {
var ctx = canvas.getContext("2d");
var naturalImgSize = [imgEle.naturalWidth, imgEle.naturalHeight];
canvas.width = naturalImgSize[0];
canvas.height = naturalImgSize[1];
//绘制到canvas
ctx.drawImage(imgEle, 0, 0);
//获取imageData：rgba像素点
var imgData = ctx.getImageData(0, 0, canvas.width, canvas.height);
const leftSectionData = []
const rightSectionData = []
const oneLineImgDataLen = canvas.width * 4;
imgData.data.forEach((colorVal, i) => {
if (i % oneLineImgDataLen <= 0.5 * oneLineImgDataLen || i % oneLineImgDataLen >= 0.6 * oneLineImgDataLen) {
const inLeft = i % oneLineImgDataLen <= 0.5 * oneLineImgDataLen
if (i % 4 === 0) {
// 获取rgb均值
const curAverageRGB = (imgData.data[i] + imgData.data[i + 1] + imgData.data[i + 2]) / 3;
let leftOrRightRef = inLeft ? leftSectionData : rightSectionData;
//每个数组里存四个值：本颜色值中的r、g、b的均值，以及r、g、b三个值。
//均值一方面用于累加计算本区域的整体均值，然后再跟每个均值对比拿到与整体均值最接近的项的索引，再取该数组里的后三个值：rgb，对应着颜色
leftOrRightRef[leftOrRightRef.length] = [curAverageRGB, imgData.data[i], imgData.data[i + 1], imgData.data[i + 2]]
}
}
})
//generate average rgb
const averageOfLeft = Math.round(leftSectionData.reduce((_cur, item) => {
return _cur + item[0]
}, 0) / leftSectionData.length)
const averageOfRight = Math.round(rightSectionData.reduce((_cur, item) => {
return _cur + item[0]
}, 0) / rightSectionData.length)
//find the most near color
const findNearestIndex = (averageVal, arrBox) => {
let _gapValue = Math.abs(averageVal - arrBox[0])
let _nearColorIndex = 0
arrBox.forEach((item, index) => {
const curGapValue = Math.abs(item - averageVal)
if (curGapValue < _gapValue) {
_gapValue = curGapValue
_nearColorIndex = index
}
})
return _nearColorIndex
}
const leftNearestColor = leftSectionData[findNearestIndex(averageOfLeft, leftSectionData)]
const rightNearestColor = rightSectionData[findNearestIndex(averageOfRight, rightSectionData)]
upload.style.backgroundColor = `rgba(${leftNearestColor[1]},${leftNearestColor[2]},${leftNearestColor[3]},1) 0%,rgba(${rightNearestColor[1]},${rightNearestColor[2]},${rightNearestColor[3]},1)`
callback(upload.style.backgroundColor)
}
}
Vue.prototype.base64ToBlob = function (code) {
let parts = code.split(";base64,");
let contentType = parts[0].split(":")[1];
......
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