Vue2.0实现调用摄像头进行拍照功能 exif.js实现图片上传功能


Posted in Javascript onApril 28, 2018

本文实例为大家分享了Vue2.0实现调用摄像头进行拍照功能的具体代码,以及图片上传功能引用exif.js,供大家参考,具体内容如下

可以在github 上下载demo链接

vue组件代码

<template>
 <div>
 <div style="padding:20px;">
  <div class="show">
  <div class="picture" :style="'backgroundImage:url('+headerImage+')'"></div>
  </div>
  <div style="margin-top:20px;">
  <input type="file" id="upload" accept="image/jpg" @change="upload">
  <label for="upload"></label>
  </div>
 </div>
 </div>
</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>

引用的exif.js代码

(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 < len; i++) {
   view[i] = binary.charCodeAt(i);
  }
  return buffer;
 }

 function objectURLToBlob(url, callback) {
  var http = new XMLHttpRequest();
  http.open("GET", url, true);
  http.responseType = "blob";
  http.onload = function(e) {
   if (this.status == 200 || this.status === 0) {
    callback(this.response);
   }
  };
  http.send();
 }

 function getImageData(img, callback) {
  function handleBinaryFile(binFile) {
   var data = findEXIFinJPEG(binFile);
   var iptcdata = findIPTCinJPEG(binFile);
   img.exifdata = data || {};
   img.iptcdata = iptcdata || {};
   if (callback) {
    callback.call(img);
   }
  }

  if (img.src) {
   if (/^data\:/i.test(img.src)) { // Data URI
    var arrayBuffer = base64ToArrayBuffer(img.src);
    handleBinaryFile(arrayBuffer);

   } else if (/^blob\:/i.test(img.src)) { // Object URL
    var fileReader = new FileReader();
    fileReader.onload = function(e) {
     handleBinaryFile(e.target.result);
    };
    objectURLToBlob(img.src, function (blob) {
     fileReader.readAsArrayBuffer(blob);
    });
   } else {
    var http = new XMLHttpRequest();
    http.onload = function() {
     if (this.status == 200 || this.status === 0) {
      handleBinaryFile(http.response);
     } else {
      throw "Could not load image";
     }
     http = null;
    };
    http.open("GET", img.src, true);
    http.responseType = "arraybuffer";
    http.send(null);
   }
  } else if (window.FileReader && (img instanceof window.Blob || img instanceof window.File)) {
   var fileReader = new FileReader();
   fileReader.onload = function(e) {
    if (debug) console.log("Got file of length " + e.target.result.byteLength);
    handleBinaryFile(e.target.result);
   };

   fileReader.readAsArrayBuffer(img);
  }
 }

 function findEXIFinJPEG(file) {
  var dataView = new DataView(file);

  if (debug) console.log("Got file of length " + file.byteLength);
  if ((dataView.getUint8(0) != 0xFF) || (dataView.getUint8(1) != 0xD8)) {
   if (debug) console.log("Not a valid JPEG");
   return false; // not a valid jpeg
  }

  var offset = 2,
   length = file.byteLength,
   marker;

  while (offset < length) {
   if (dataView.getUint8(offset) != 0xFF) {
    if (debug) console.log("Not a valid marker at offset " + offset + ", found: " + dataView.getUint8(offset));
    return false; // not a valid marker, something is wrong
   }

   marker = dataView.getUint8(offset + 1);
   if (debug) console.log(marker);

   // we could implement handling for other markers here,
   // but we're only looking for 0xFFE1 for EXIF data

   if (marker == 225) {
    if (debug) console.log("Found 0xFFE1 marker");

    return readEXIFData(dataView, offset + 4, dataView.getUint16(offset + 2) - 2);

    // offset += 2 + file.getShortAt(offset+2, true);

   } else {
    offset += 2 + dataView.getUint16(offset+2);
   }

  }

 }

 function findIPTCinJPEG(file) {
  var dataView = new DataView(file);

  if (debug) console.log("Got file of length " + file.byteLength);
  if ((dataView.getUint8(0) != 0xFF) || (dataView.getUint8(1) != 0xD8)) {
   if (debug) console.log("Not a valid JPEG");
   return false; // not a valid jpeg
  }

  var offset = 2,
   length = file.byteLength;


  var isFieldSegmentStart = function(dataView, offset){
   return (
    dataView.getUint8(offset) === 0x38 &&
    dataView.getUint8(offset+1) === 0x42 &&
    dataView.getUint8(offset+2) === 0x49 &&
    dataView.getUint8(offset+3) === 0x4D &&
    dataView.getUint8(offset+4) === 0x04 &&
    dataView.getUint8(offset+5) === 0x04
   );
  };

  while (offset < length) {

   if ( isFieldSegmentStart(dataView, offset )){

    // Get the length of the name header (which is padded to an even number of bytes)
    var nameHeaderLength = dataView.getUint8(offset+7);
    if(nameHeaderLength % 2 !== 0) nameHeaderLength += 1;
    // Check for pre photoshop 6 format
    if(nameHeaderLength === 0) {
     // Always 4
     nameHeaderLength = 4;
    }

    var startOffset = offset + 8 + nameHeaderLength;
    var sectionLength = dataView.getUint16(offset + 6 + nameHeaderLength);

    return readIPTCData(file, startOffset, sectionLength);

    break;

   }


   // Not the marker, continue searching
   offset++;

  }

 }
 var IptcFieldMap = {
  0x78 : 'caption',
  0x6E : 'credit',
  0x19 : 'keywords',
  0x37 : 'dateCreated',
  0x50 : 'byline',
  0x55 : 'bylineTitle',
  0x7A : 'captionWriter',
  0x69 : 'headline',
  0x74 : 'copyright',
  0x0F : 'category'
 };
 function readIPTCData(file, startOffset, sectionLength){
  var dataView = new DataView(file);
  var data = {};
  var fieldValue, fieldName, dataSize, segmentType, segmentSize;
  var segmentStartPos = startOffset;
  while(segmentStartPos < startOffset+sectionLength) {
   if(dataView.getUint8(segmentStartPos) === 0x1C && dataView.getUint8(segmentStartPos+1) === 0x02){
    segmentType = dataView.getUint8(segmentStartPos+2);
    if(segmentType in IptcFieldMap) {
     dataSize = dataView.getInt16(segmentStartPos+3);
     segmentSize = dataSize + 5;
     fieldName = IptcFieldMap[segmentType];
     fieldValue = getStringFromDB(dataView, segmentStartPos+5, dataSize);
     // Check if we already stored a value with this name
     if(data.hasOwnProperty(fieldName)) {
      // Value already stored with this name, create multivalue field
      if(data[fieldName] instanceof Array) {
       data[fieldName].push(fieldValue);
      }
      else {
       data[fieldName] = [data[fieldName], fieldValue];
      }
     }
     else {
      data[fieldName] = fieldValue;
     }
    }

   }
   segmentStartPos++;
  }
  return data;
 }



 function readTags(file, tiffStart, dirStart, strings, bigEnd) {
  var entries = file.getUint16(dirStart, !bigEnd),
   tags = {},
   entryOffset, tag,
   i;

  for (i=0;i<entries;i++) {
   entryOffset = dirStart + i*12 + 2;
   tag = strings[file.getUint16(entryOffset, !bigEnd)];
   if (!tag && debug) console.log("Unknown tag: " + file.getUint16(entryOffset, !bigEnd));
   tags[tag] = readTagValue(file, entryOffset, tiffStart, dirStart, bigEnd);
  }
  return tags;
 }


 function readTagValue(file, entryOffset, tiffStart, dirStart, bigEnd) {
  var type = file.getUint16(entryOffset+2, !bigEnd),
   numValues = file.getUint32(entryOffset+4, !bigEnd),
   valueOffset = file.getUint32(entryOffset+8, !bigEnd) + tiffStart,
   offset,
   vals, val, n,
   numerator, denominator;

  switch (type) {
   case 1: // byte, 8-bit unsigned int
   case 7: // undefined, 8-bit byte, value depending on field
    if (numValues == 1) {
     return file.getUint8(entryOffset + 8, !bigEnd);
    } else {
     offset = numValues > 4 ? valueOffset : (entryOffset + 8);
     vals = [];
     for (n=0;n<numValues;n++) {
      vals[n] = file.getUint8(offset + n);
     }
     return vals;
    }

   case 2: // ascii, 8-bit byte
    offset = numValues > 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));

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持三水点靠木。

Javascript 相关文章推荐
Javascript 学习书 推荐
Jun 13 Javascript
js滚动条回到顶部的代码
Dec 06 Javascript
JavaScript移除数组内重复元素的方法
Mar 18 Javascript
avalon js实现仿google plus图片多张拖动排序附源码下载
Sep 24 Javascript
JavaScript核心语法总结(推荐)
Jun 02 Javascript
Vue监听数组变化源码解析
Mar 09 Javascript
js指定步长实现单方向匀速运动
Jul 17 Javascript
javascript编程开发中取色器及封装$函数用法示例
Aug 09 Javascript
js代码规范之Eslint安装与配置详解
Sep 08 Javascript
JS基于对象的链表实现与使用方法示例
Jan 31 Javascript
小程序红包雨的实现示例
Feb 19 Javascript
解决layui弹框失效的问题
Sep 09 Javascript
React native ListView 增加顶部下拉刷新和底下点击刷新示例
Apr 27 #Javascript
React Native日期时间选择组件的示例代码
Apr 27 #Javascript
vue实现点击展开点击收起效果
Apr 27 #Javascript
vue中post请求以a=a&amp;b=b 的格式写遇到的问题
Apr 27 #Javascript
vue项目中应用ueditor自定义上传按钮功能
Apr 27 #Javascript
Vue 使用 Mint UI 实现左滑删除效果CellSwipe
Apr 27 #Javascript
微信小程序中添加客服按钮contact-button功能
Apr 27 #Javascript
You might like
PHP整合七牛实现上传文件
2015/07/03 PHP
PHPStrom 新建FTP项目以及在线操作教程
2016/10/16 PHP
PHP中使用OpenSSL生成证书及加密解密
2017/02/05 PHP
jquery图片上下tab切换效果
2011/03/18 Javascript
输入框的字数时时统计—关于 onpropertychange 和 oninput 使用
2011/10/21 Javascript
ExtJS下 Ext.Direct加载和提交过程排错小结
2013/04/02 Javascript
javascript中的document.open()方法使用介绍
2013/10/09 Javascript
基于jquery插件制作左右按钮与标题文字图片切换效果
2013/11/07 Javascript
js 对小数加法精度处理示例说明
2013/12/27 Javascript
JavaScript判断一个字符串是否包含指定子字符串的方法
2015/03/18 Javascript
javascript实现选中复选框后相关输入框变灰不可用的方法
2015/08/11 Javascript
学习使用bootstrap3栅格系统
2016/04/12 Javascript
基于jQuery实现仿百度首页选项卡切换效果
2016/05/29 Javascript
jQuery EasyUI框架中的Datagrid数据表格组件结构详解
2016/06/09 Javascript
微信小程序 教程之事件
2016/10/18 Javascript
Vue如何实现响应式系统
2018/07/11 Javascript
angular 数据绑定之[]和{{}}的区别
2018/09/25 Javascript
angular2 组件之间通过service互相传递的实例
2018/09/30 Javascript
Vue.js的动态组件模板的实现
2018/11/26 Javascript
vue.js的双向数据绑定Object.defineProperty方法的神奇之处
2019/01/18 Javascript
通过cordova将vue项目打包为webapp的方法
2019/02/02 Javascript
关于Vue源码vm.$watch()内部原理详解
2019/04/26 Javascript
利用Pandas读取文件路径或文件名称包含中文的csv文件方法
2018/07/04 Python
使用Flask集成bootstrap的方法
2018/07/24 Python
Random 在 Python 中的使用方法
2018/08/09 Python
Python3.8中使用f-strings调试
2019/05/22 Python
django 做 migrate 时 表已存在的处理方法
2019/08/31 Python
wxPython+Matplotlib绘制折线图表
2019/11/19 Python
Keras load_model 导入错误的解决方式
2020/06/09 Python
python 识别登录验证码图片功能的实现代码(完整代码)
2020/07/03 Python
基于python实现操作git过程代码解析
2020/07/27 Python
希腊香水和化妆品购物网站:Parfimo.gr
2019/10/03 全球购物
生产班组长岗位职责
2014/01/05 职场文书
公积金具结保证书
2015/05/11 职场文书
红色经典观后感
2015/06/18 职场文书
python神经网络 tf.name_scope 和 tf.variable_scope 的区别
2022/05/04 Python