Heim >Web-Frontend >js-Tutorial >Detaillierte Erläuterung der Schritte zum Aufrufen der Kamera in vue2.0
Dieses Mal erkläre ich Ihnen ausführlich die Schritte zum Aufrufen der Kamera mit vue2.0. Was sind die Vorsichtsmaßnahmen, wenn Sie vue2.0 zum Aufrufen der Kamera verwenden? , lass uns einen Blick darauf werfen.
Sie können den Demo-Link auf Github herunterladen
Vue-Komponentencode
<template> <p> <p style="padding:20px;"> <p class="show"> <p class="picture" :style="'backgroundImage:url('+headerImage+')'"></p> </p> <p style="margin-top:20px;"> <input type="file" id="upload" accept="image/jpg" @change="upload"> <label for="upload"></label> </p> </p> </p> </template> <script> import {Exif} from './exif.js' export default { data () { return { headerImage:'',picValue:'' } }, mounted () { }, methods: { upload (e) { let files = e.target.files || e.dataTransfer.files; if (!files.length) return; this.picValue = files[0]; this.imgPreview(this.picValue); console.log(this.picValue) }, imgPreview (file) { let self = this; let Orientation; //去获取拍照时的信息,解决拍出来的照片旋转问题 Exif.getData(file, function(){ Orientation = Exif.getTag(this, 'Orientation'); }); // 看支持不支持FileReader if (!file || !window.FileReader) return; if (/^image/.test(file.type)) { // 创建一个reader let reader = new FileReader(); // 将图片2将转成 base64 格式 reader.readAsDataURL(file); // 读取成功后的回调 reader.onloadend = function () { let result = this.result; let img = new Image(); img.src = result; //判断图片是否大于100K,是就直接上传,反之压缩图片 if (this.result.length <= (100 * 1024)) { self.headerImage = this.result; self.postImg(); }else { img.onload = function () { let data = self.compress(img,Orientation); self.headerImage = data; self.postImg(); } } } } }, postImg () { //这里写接口 }, rotateImg (img, direction,canvas) { //最小与最大旋转方向,图片旋转4次后回到原方向 const min_step = 0; const max_step = 3; if (img == null)return; //img的高度和宽度不能在img元素隐藏后获取,否则会出错 let height = img.height; let width = img.width; let step = 2; if (step == null) { step = min_step; } if (direction == 'right') { step++; //旋转到原位置,即超过最大值 step > max_step && (step = min_step); } else { step--; step < min_step && (step = max_step); } //旋转角度以弧度值为参数 let degree = step * 90 * Math.PI / 180; let ctx = canvas.getContext('2d'); switch (step) { case 0: canvas.width = width; canvas.height = height; ctx.drawImage(img, 0, 0); break; case 1: canvas.width = height; canvas.height = width; ctx.rotate(degree); ctx.drawImage(img, 0, -height); break; case 2: canvas.width = width; canvas.height = height; ctx.rotate(degree); ctx.drawImage(img, -width, -height); break; case 3: canvas.width = height; canvas.height = width; ctx.rotate(degree); ctx.drawImage(img, -width, 0); break; } }, compress(img,Orientation) { let canvas = document.createElement("canvas"); let ctx = canvas.getContext('2d'); //瓦片canvas let tCanvas = document.createElement("canvas"); let tctx = tCanvas.getContext("2d"); let initSize = img.src.length; let width = img.width; let height = img.height; //如果图片大于四百万像素,计算压缩比并将大小压至400万以下 let ratio; if ((ratio = width * height / 4000000) > 1) { console.log("大于400万像素") ratio = Math.sqrt(ratio); width /= ratio; height /= ratio; } else { ratio = 1; } canvas.width = width; canvas.height = height; // 铺底色 ctx.fillStyle = "#fff"; ctx.fillRect(0, 0, canvas.width, canvas.height); //如果图片像素大于100万则使用瓦片绘制 let count; if ((count = width * height / 1000000) > 1) { console.log("超过100W像素"); count = ~~(Math.sqrt(count) + 1); //计算要分成多少块瓦片 // 计算每块瓦片的宽和高 let nw = ~~(width / count); let nh = ~~(height / count); tCanvas.width = nw; tCanvas.height = nh; for (let i = 0; i < count; i++) { for (let j = 0; j < count; j++) { tctx.drawImage(img, i * nw * ratio, j * nh * ratio, nw * ratio, nh * ratio, 0, 0, nw, nh); ctx.drawImage(tCanvas, i * nw, j * nh, nw, nh); } } } else { ctx.drawImage(img, 0, 0, width, height); } //修复ios上传图片的时候 被旋转的问题 if(Orientation != "" && Orientation != 1){ switch(Orientation){ case 6://需要顺时针(向左)90度旋转 this.rotateImg(img,'left',canvas); break; case 8://需要逆时针(向右)90度旋转 this.rotateImg(img,'right',canvas); break; case 3://需要180度旋转 this.rotateImg(img,'right',canvas);//转两次 this.rotateImg(img,'right',canvas); break; } } //进行最小压缩 let ndata = canvas.toDataURL('image/jpeg', 0.1); console.log('压缩前:' + initSize); console.log('压缩后:' + ndata.length); console.log('压缩率:' + ~~(100 * (initSize - ndata.length) / initSize) + "%"); tCanvas.width = tCanvas.height = canvas.width = canvas.height = 0; return ndata; }, } } </script> <style> *{ margin: 0; padding: 0; } .show { width: 100px; height: 100px; overflow: hidden; position: relative; border-radius: 50%; border: 1px solid #d5d5d5; } .picture { width: 100%; height: 100%; overflow: hidden; background-position: center center; background-repeat: no-repeat; background-size: cover; } </style>
Der referenzierte exif.js-Code
(function() { var debug = false; var root = this; var EXIF = function(obj) { if (obj instanceof EXIF) return obj; if (!(this instanceof EXIF)) return new EXIF(obj); this.EXIFwrapped = obj; }; if (typeof exports !== 'undefined') { if (typeof module !== 'undefined' && module.exports) { exports = module.exports = EXIF; } exports.EXIF = EXIF; } else { root.EXIF = EXIF; } var ExifTags = EXIF.Tags = { // version tags 0x9000 : "ExifVersion", // EXIF version 0xA000 : "FlashpixVersion", // Flashpix format version // colorspace tags 0xA001 : "ColorSpace", // Color space information tag // image configuration 0xA002 : "PixelXDimension", // Valid width of meaningful image 0xA003 : "PixelYDimension", // Valid height of meaningful image 0x9101 : "ComponentsConfiguration", // Information about channels 0x9102 : "CompressedBitsPerPixel", // Compressed bits per pixel // user information 0x927C : "MakerNote", // Any desired information written by the manufacturer 0x9286 : "UserComment", // Comments by user // related file 0xA004 : "RelatedSoundFile", // Name of related sound file // date and time 0x9003 : "DateTimeOriginal", // Date and time when the original image was generated 0x9004 : "DateTimeDigitized", // Date and time when the image was stored digitally 0x9290 : "SubsecTime", // Fractions of seconds for DateTime 0x9291 : "SubsecTimeOriginal", // Fractions of seconds for DateTimeOriginal 0x9292 : "SubsecTimeDigitized", // Fractions of seconds for DateTimeDigitized // picture-taking conditions 0x829A : "ExposureTime", // Exposure time (in seconds) 0x829D : "FNumber", // F number 0x8822 : "ExposureProgram", // Exposure program 0x8824 : "SpectralSensitivity", // Spectral sensitivity 0x8827 : "ISOSpeedRatings", // ISO speed rating 0x8828 : "OECF", // Optoelectric conversion factor 0x9201 : "ShutterSpeedValue", // Shutter speed 0x9202 : "ApertureValue", // Lens aperture 0x9203 : "BrightnessValue", // Value of brightness 0x9204 : "ExposureBias", // Exposure bias 0x9205 : "MaxApertureValue", // Smallest F number of lens 0x9206 : "SubjectDistance", // Distance to subject in meters 0x9207 : "MeteringMode", // Metering mode 0x9208 : "LightSource", // Kind of light source 0x9209 : "Flash", // Flash status 0x9214 : "SubjectArea", // Location and area of main subject 0x920A : "FocalLength", // Focal length of the lens in mm 0xA20B : "FlashEnergy", // Strobe energy in BCPS 0xA20C : "SpatialFrequencyResponse", // 0xA20E : "FocalPlaneXResolution", // Number of pixels in width direction per FocalPlaneResolutionUnit 0xA20F : "FocalPlaneYResolution", // Number of pixels in height direction per FocalPlaneResolutionUnit 0xA210 : "FocalPlaneResolutionUnit", // Unit for measuring FocalPlaneXResolution and FocalPlaneYResolution 0xA214 : "SubjectLocation", // Location of subject in image 0xA215 : "ExposureIndex", // Exposure index selected on camera 0xA217 : "SensingMethod", // Image sensor type 0xA300 : "FileSource", // Image source (3 == DSC) 0xA301 : "SceneType", // Scene type (1 == directly photographed) 0xA302 : "CFAPattern", // Color filter array geometric pattern 0xA401 : "CustomRendered", // Special processing 0xA402 : "ExposureMode", // Exposure mode 0xA403 : "WhiteBalance", // 1 = auto white balance, 2 = manual 0xA404 : "DigitalZoomRation", // Digital zoom ratio 0xA405 : "FocalLengthIn35mmFilm", // Equivalent foacl length assuming 35mm film camera (in mm) 0xA406 : "SceneCaptureType", // Type of scene 0xA407 : "GainControl", // Degree of overall image gain adjustment 0xA408 : "Contrast", // Direction of contrast processing applied by camera 0xA409 : "Saturation", // Direction of saturation processing applied by camera 0xA40A : "Sharpness", // Direction of sharpness processing applied by camera 0xA40B : "DeviceSettingDescription", // 0xA40C : "SubjectDistanceRange", // Distance to subject // other tags 0xA005 : "InteroperabilityIFDPointer", 0xA420 : "ImageUniqueID" // Identifier assigned uniquely to each image }; var TiffTags = EXIF.TiffTags = { 0x0100 : "ImageWidth", 0x0101 : "ImageHeight", 0x8769 : "ExifIFDPointer", 0x8825 : "GPSInfoIFDPointer", 0xA005 : "InteroperabilityIFDPointer", 0x0102 : "BitsPerSample", 0x0103 : "Compression", 0x0106 : "PhotometricInterpretation", 0x0112 : "Orientation", 0x0115 : "SamplesPerPixel", 0x011C : "PlanarConfiguration", 0x0212 : "YCbCrSubSampling", 0x0213 : "YCbCrPositioning", 0x011A : "XResolution", 0x011B : "YResolution", 0x0128 : "ResolutionUnit", 0x0111 : "StripOffsets", 0x0116 : "RowsPerStrip", 0x0117 : "StripByteCounts", 0x0201 : "JPEGInterchangeFormat", 0x0202 : "JPEGInterchangeFormatLength", 0x012D : "TransferFunction", 0x013E : "WhitePoint", 0x013F : "PrimaryChromaticities", 0x0211 : "YCbCrCoefficients", 0x0214 : "ReferenceBlackWhite", 0x0132 : "DateTime", 0x010E : "ImageDescription", 0x010F : "Make", 0x0110 : "Model", 0x0131 : "Software", 0x013B : "Artist", 0x8298 : "Copyright" }; var GPSTags = EXIF.GPSTags = { 0x0000 : "GPSVersionID", 0x0001 : "GPSLatitudeRef", 0x0002 : "GPSLatitude", 0x0003 : "GPSLongitudeRef", 0x0004 : "GPSLongitude", 0x0005 : "GPSAltitudeRef", 0x0006 : "GPSAltitude", 0x0007 : "GPSTimeStamp", 0x0008 : "GPSSatellites", 0x0009 : "GPSStatus", 0x000A : "GPSMeasureMode", 0x000B : "GPSDOP", 0x000C : "GPSSpeedRef", 0x000D : "GPSSpeed", 0x000E : "GPSTrackRef", 0x000F : "GPSTrack", 0x0010 : "GPSImgDirectionRef", 0x0011 : "GPSImgDirection", 0x0012 : "GPSMapDatum", 0x0013 : "GPSDestLatitudeRef", 0x0014 : "GPSDestLatitude", 0x0015 : "GPSDestLongitudeRef", 0x0016 : "GPSDestLongitude", 0x0017 : "GPSDestBearingRef", 0x0018 : "GPSDestBearing", 0x0019 : "GPSDestDistanceRef", 0x001A : "GPSDestDistance", 0x001B : "GPSProcessingMethod", 0x001C : "GPSAreaInformation", 0x001D : "GPSDateStamp", 0x001E : "GPSDifferential" }; var StringValues = EXIF.StringValues = { ExposureProgram : { 0 : "Not defined", 1 : "Manual", 2 : "Normal program", 3 : "Aperture priority", 4 : "Shutter priority", 5 : "Creative program", 6 : "Action program", 7 : "Portrait mode", 8 : "Landscape mode" }, MeteringMode : { 0 : "Unknown", 1 : "Average", 2 : "CenterWeightedAverage", 3 : "Spot", 4 : "MultiSpot", 5 : "Pattern", 6 : "Partial", 255 : "Other" }, LightSource : { 0 : "Unknown", 1 : "Daylight", 2 : "Fluorescent", 3 : "Tungsten (incandescent light)", 4 : "Flash", 9 : "Fine weather", 10 : "Cloudy weather", 11 : "Shade", 12 : "Daylight fluorescent (D 5700 - 7100K)", 13 : "Day white fluorescent (N 4600 - 5400K)", 14 : "Cool white fluorescent (W 3900 - 4500K)", 15 : "White fluorescent (WW 3200 - 3700K)", 17 : "Standard light A", 18 : "Standard light B", 19 : "Standard light C", 20 : "D55", 21 : "D65", 22 : "D75", 23 : "D50", 24 : "ISO studio tungsten", 255 : "Other" }, Flash : { 0x0000 : "Flash did not fire", 0x0001 : "Flash fired", 0x0005 : "Strobe return light not detected", 0x0007 : "Strobe return light detected", 0x0009 : "Flash fired, compulsory flash mode", 0x000D : "Flash fired, compulsory flash mode, return light not detected", 0x000F : "Flash fired, compulsory flash mode, return light detected", 0x0010 : "Flash did not fire, compulsory flash mode", 0x0018 : "Flash did not fire, auto mode", 0x0019 : "Flash fired, auto mode", 0x001D : "Flash fired, auto mode, return light not detected", 0x001F : "Flash fired, auto mode, return light detected", 0x0020 : "No flash function", 0x0041 : "Flash fired, red-eye reduction mode", 0x0045 : "Flash fired, red-eye reduction mode, return light not detected", 0x0047 : "Flash fired, red-eye reduction mode, return light detected", 0x0049 : "Flash fired, compulsory flash mode, red-eye reduction mode", 0x004D : "Flash fired, compulsory flash mode, red-eye reduction mode, return light not detected", 0x004F : "Flash fired, compulsory flash mode, red-eye reduction mode, return light detected", 0x0059 : "Flash fired, auto mode, red-eye reduction mode", 0x005D : "Flash fired, auto mode, return light not detected, red-eye reduction mode", 0x005F : "Flash fired, auto mode, return light detected, red-eye reduction mode" }, SensingMethod : { 1 : "Not defined", 2 : "One-chip color area sensor", 3 : "Two-chip color area sensor", 4 : "Three-chip color area sensor", 5 : "Color sequential area sensor", 7 : "Trilinear sensor", 8 : "Color sequential linear sensor" }, SceneCaptureType : { 0 : "Standard", 1 : "Landscape", 2 : "Portrait", 3 : "Night scene" }, SceneType : { 1 : "Directly photographed" }, CustomRendered : { 0 : "Normal process", 1 : "Custom process" }, WhiteBalance : { 0 : "Auto white balance", 1 : "Manual white balance" }, GainControl : { 0 : "None", 1 : "Low gain up", 2 : "High gain up", 3 : "Low gain down", 4 : "High gain down" }, Contrast : { 0 : "Normal", 1 : "Soft", 2 : "Hard" }, Saturation : { 0 : "Normal", 1 : "Low saturation", 2 : "High saturation" }, Sharpness : { 0 : "Normal", 1 : "Soft", 2 : "Hard" }, SubjectDistanceRange : { 0 : "Unknown", 1 : "Macro", 2 : "Close view", 3 : "Distant view" }, FileSource : { 3 : "DSC" }, Components : { 0 : "", 1 : "Y", 2 : "Cb", 3 : "Cr", 4 : "R", 5 : "G", 6 : "B" } }; function addEvent(element, event, handler) { if (element.addEventListener) { element.addEventListener(event, handler, false); } else if (element.attachEvent) { element.attachEvent("on" + event, handler); } } function imageHasData(img) { return !!(img.exifdata); } function base64ToArrayBuffer(base64, contentType) { contentType = contentType || base64.match(/^data\:([^\;]+)\;base64,/mi)[1] || ''; // e.g. 'data:image/jpeg;base64,...' => 'image/jpeg' base64 = base64.replace(/^data\:([^\;]+)\;base64,/gmi, ''); var binary = atob(base64); var len = binary.length; var buffer = new ArrayBuffer(len); var view = new Uint8Array(buffer); for (var i = 0; i 02661e2753a42aa9603f3072686b85d7 4 ? valueOffset : (entryOffset + 8); vals = []; for (n=0;n20cfac83129515de717e208db60b4017 4 ? valueOffset : (entryOffset + 8); return getStringFromDB(file, offset, numValues-1); case 3: // short, 16 bit int if (numValues == 1) { return file.getUint16(entryOffset + 8, !bigEnd); } else { offset = numValues > 2 ? valueOffset : (entryOffset + 8); vals = []; for (n=0;n<numValues;n++) { vals[n] = file.getUint16(offset + 2*n, !bigEnd); } return vals; } case 4: // long, 32 bit int if (numValues == 1) { return file.getUint32(entryOffset + 8, !bigEnd); } else { vals = []; for (n=0;n<numValues;n++) { vals[n] = file.getUint32(valueOffset + 4*n, !bigEnd); } return vals; } case 5: // rational = two long values, first is numerator, second is denominator if (numValues == 1) { numerator = file.getUint32(valueOffset, !bigEnd); denominator = file.getUint32(valueOffset+4, !bigEnd); val = new Number(numerator / denominator); val.numerator = numerator; val.denominator = denominator; return val; } else { vals = []; for (n=0;n<numValues;n++) { numerator = file.getUint32(valueOffset + 8*n, !bigEnd); denominator = file.getUint32(valueOffset+4 + 8*n, !bigEnd); vals[n] = new Number(numerator / denominator); vals[n].numerator = numerator; vals[n].denominator = denominator; } return vals; } case 9: // slong, 32 bit signed int if (numValues == 1) { return file.getInt32(entryOffset + 8, !bigEnd); } else { vals = []; for (n=0;n<numValues;n++) { vals[n] = file.getInt32(valueOffset + 4*n, !bigEnd); } return vals; } case 10: // signed rational, two slongs, first is numerator, second is denominator if (numValues == 1) { return file.getInt32(valueOffset, !bigEnd) / file.getInt32(valueOffset+4, !bigEnd); } else { vals = []; for (n=0;n<numValues;n++) { vals[n] = file.getInt32(valueOffset + 8*n, !bigEnd) / file.getInt32(valueOffset+4 + 8*n, !bigEnd); } return vals; } } } function getStringFromDB(buffer, start, length) { var outstr = ""; for (n = start; n < start+length; n++) { outstr += String.fromCharCode(buffer.getUint8(n)); } return outstr; } function readEXIFData(file, start) { if (getStringFromDB(file, start, 4) != "Exif") { if (debug) console.log("Not valid EXIF data! " + getStringFromDB(file, start, 4)); return false; } var bigEnd, tags, tag, exifData, gpsData, tiffOffset = start + 6; // test for TIFF validity and endianness if (file.getUint16(tiffOffset) == 0x4949) { bigEnd = false; } else if (file.getUint16(tiffOffset) == 0x4D4D) { bigEnd = true; } else { if (debug) console.log("Not valid TIFF data! (no 0x4949 or 0x4D4D)"); return false; } if (file.getUint16(tiffOffset+2, !bigEnd) != 0x002A) { if (debug) console.log("Not valid TIFF data! (no 0x002A)"); return false; } var firstIFDOffset = file.getUint32(tiffOffset+4, !bigEnd); if (firstIFDOffset < 0x00000008) { if (debug) console.log("Not valid TIFF data! (First offset less than 8)", file.getUint32(tiffOffset+4, !bigEnd)); return false; } tags = readTags(file, tiffOffset, tiffOffset + firstIFDOffset, TiffTags, bigEnd); if (tags.ExifIFDPointer) { exifData = readTags(file, tiffOffset, tiffOffset + tags.ExifIFDPointer, ExifTags, bigEnd); for (tag in exifData) { switch (tag) { case "LightSource" : case "Flash" : case "MeteringMode" : case "ExposureProgram" : case "SensingMethod" : case "SceneCaptureType" : case "SceneType" : case "CustomRendered" : case "WhiteBalance" : case "GainControl" : case "Contrast" : case "Saturation" : case "Sharpness" : case "SubjectDistanceRange" : case "FileSource" : exifData[tag] = StringValues[tag][exifData[tag]]; break; case "ExifVersion" : case "FlashpixVersion" : exifData[tag] = String.fromCharCode(exifData[tag][0], exifData[tag][1], exifData[tag][2], exifData[tag][3]); break; case "ComponentsConfiguration" : exifData[tag] = StringValues.Components[exifData[tag][0]] + StringValues.Components[exifData[tag][1]] + StringValues.Components[exifData[tag][2]] + StringValues.Components[exifData[tag][3]]; break; } tags[tag] = exifData[tag]; } } if (tags.GPSInfoIFDPointer) { gpsData = readTags(file, tiffOffset, tiffOffset + tags.GPSInfoIFDPointer, GPSTags, bigEnd); for (tag in gpsData) { switch (tag) { case "GPSVersionID" : gpsData[tag] = gpsData[tag][0] + "." + gpsData[tag][1] + "." + gpsData[tag][2] + "." + gpsData[tag][3]; break; } tags[tag] = gpsData[tag]; } } return tags; } EXIF.getData = function(img, callback) { if ((img instanceof Image || img instanceof HTMLImageElement) && !img.complete) return false; if (!imageHasData(img)) { getImageData(img, callback); } else { if (callback) { callback.call(img); } } return true; } EXIF.getTag = function(img, tag) { if (!imageHasData(img)) return; return img.exifdata[tag]; } EXIF.getAllTags = function(img) { if (!imageHasData(img)) return {}; var a, data = img.exifdata, tags = {}; for (a in data) { if (data.hasOwnProperty(a)) { tags[a] = data[a]; } } return tags; } EXIF.pretty = function(img) { if (!imageHasData(img)) return ""; var a, data = img.exifdata, strPretty = ""; for (a in data) { if (data.hasOwnProperty(a)) { if (typeof data[a] == "object") { if (data[a] instanceof Number) { strPretty += a + " : " + data[a] + " [" + data[a].numerator + "/" + data[a].denominator + "]\r\n"; } else { strPretty += a + " : [" + data[a].length + " values]\r\n"; } } else { strPretty += a + " : " + data[a] + "\r\n"; } } } return strPretty; } EXIF.readFromBinaryFile = function(file) { return findEXIFinJPEG(file); } if (typeof define === 'function' && define.amd) { define('exif-js', [], function() { return EXIF; }); } }.call(this));
Ich glaube, Sie haben es danach gemeistert Lesen Sie den Fall in diesem Artikel. Weitere spannende Methoden finden Sie in anderen verwandten Artikeln auf der chinesischen PHP-Website!
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Das obige ist der detaillierte Inhalt vonDetaillierte Erläuterung der Schritte zum Aufrufen der Kamera in vue2.0. Für weitere Informationen folgen Sie bitte anderen verwandten Artikeln auf der PHP chinesischen Website!