face++代码示例

├── img ├── plate.jpg └── demo-pic6.jpg ├── common.css ├── README.md ├── index.html ├── common.js ├── ocr_idcard.html ├── ocr_bankcard.html ├── ocr_driverlicense.html ├── ocr_licenseplate.html ├── ocr_vehiclelicense.html ├── beautyFace.html ├── segment.html ├── gestureRecognize.html ├── compareFace.html ├── mergeFace.html ├── searchFace.html ├── detectBody.html ├── detectFace.html ├── facepp_sdk ├── facepp_sdk.js ├── exif.js └── jquery.min.js └── skeletonDetect.html /img/plate.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/FacePlusPlus/facepp-javascript-sdk/HEAD/img/plate.jpg -------------------------------------------------------------------------------- /img/demo-pic6.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/FacePlusPlus/facepp-javascript-sdk/HEAD/img/demo-pic6.jpg -------------------------------------------------------------------------------- /common.css: -------------------------------------------------------------------------------- 1 | 2 | body{ 3 | background-color: lightgray; 4 | } 5 | 6 | .container{ 7 | position: relative; 8 | display: block; 9 | margin: 0 auto; 10 | text-align: center; 11 | background-color: white; 12 | } 13 | 14 | .button{ 15 | position: relative; 16 | top: 10px; 17 | font-size: 16px; 18 | width: 90%; 19 | height: 34px; 20 | line-height: 34px; 21 | display: block; 22 | margin-left: 5%; 23 | text-align: center; 24 | border-style: solid; 25 | border-color: white; 26 | border-width: 5px; 27 | background-color: cornflowerblue; 28 | } 29 | 30 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | Face++ SDK for JavaScript 2 | ===================== 3 | 4 | * 这个Demo里面的SDK是对官网在线Api接口的封装,需要联网使用.官网接口文档地址: 5 | * 如何运行Demo: 6 | * 在官网注册账号: 7 | * 创建APIKey来使用: (试用的APIKey可以免费使用,可能有并发数错误.正式APIKey需要充值后使用) 8 | * 配置`common.js`文件,将生成的`APIKey`和`APISecret`写入(在第4行和第5行) 9 | * 运行index.html 10 | 11 | * 如何集成到自己的项目 12 | 13 | * 把`facepp_sdk`这个文件夹拖入到自己的项目 14 | * 在项目中引用 15 | 16 | ``` 17 | 18 | 19 | 20 | 21 | ``` 22 | 参考示例代码调用 23 | 24 | * 如果集成中有问题,请[联系我们](https://www.faceplusplus.com.cn/contact-us/) 25 | 26 | -------------------------------------------------------------------------------- /index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | face++代码示例 9 | 10 | 11 | 12 | 15 | 16 | 17 |

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人脸检测

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人脸比对(1:1)

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人脸搜索(1:N)

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图片美化

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人体关键点

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人体检测

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人体抠像

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手势识别

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身份证识别

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驾驶证识别

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行驶证识别

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银行卡识别

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车牌号识别

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人脸融合

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34 | 35 | 36 | 37 | 38 | -------------------------------------------------------------------------------- /common.js: -------------------------------------------------------------------------------- 1 | 2 | /////////填写你的apikey 3 | 4 | const APIKEY = 'YOUR APIKEY'; 5 | const APISERET = 'YOUR APISERET'; 6 | 7 | ////////////////// 8 | 9 | //界面跳转 10 | function navigateTo(page) { 11 | window.location.href = page + '.html'; 12 | } 13 | 14 | //判断是否是手机 15 | function isMobile() { 16 | const userAgentInfo = navigator.userAgent; 17 | const mobileAgents = ['Android', 'iPhone', 'SymbianOS', 'Windows Phone', 'iPod']; // iPad 18 | let mobile_flag = false; 19 | // 根据userAgent判断是否是手机 20 | for (let v = 0; v < mobileAgents.length; v++) { 21 | if (userAgentInfo.indexOf(mobileAgents[v]) > 0) { 22 | mobile_flag = true; 23 | break; 24 | } 25 | } 26 | 27 | const screen_width = window.screen.width; 28 | const screen_height = window.screen.height; 29 | 30 | // 根据屏幕分辨率判断是否是手机 31 | if (screen_width < 500 && screen_height < 800) { 32 | mobile_flag = true; 33 | } 34 | return mobile_flag; 35 | } 36 | 37 | //设置界面大小 38 | function resetContainer() { 39 | const screenH = document.documentElement.clientHeight || document.body.clientHeight; 40 | const screenW = document.documentElement.clientWidth || document.body.clientWidth; 41 | 42 | const container = document.getElementsByClassName('container')[0]; 43 | 44 | const isMb = isMobile(); 45 | 46 | console.log(`isMobole ----` + isMb); 47 | 48 | if (isMb == false) {// pc or ipad 49 | container.style.width = "375px"; 50 | container.style.height = '667px'; 51 | container.style.top = ((screenH - 667) / 2) + "px"; 52 | console.log(container.style.top); 53 | container.backgroundColor = 'red'; 54 | } 55 | } -------------------------------------------------------------------------------- /ocr_idcard.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 身份证识别 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 33 | 34 | 35 |

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选择身份证照片

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44 | 45 | 46 | 57 | 58 | 59 | 103 | -------------------------------------------------------------------------------- /ocr_bankcard.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 银行卡识别 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 33 | 34 | 35 |

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选择银行卡照片

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44 | 45 | 46 | 57 | 58 | 59 | 103 | -------------------------------------------------------------------------------- /ocr_driverlicense.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 驾驶证识别 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 33 | 34 | 35 |

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选择驾驶证照片

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44 | 45 | 46 | 57 | 58 | 59 | 103 | -------------------------------------------------------------------------------- /ocr_licenseplate.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 车牌号识别 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 33 | 34 | 35 |

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选择车牌照片

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44 | 45 | 46 | 57 | 58 | 59 | 103 | -------------------------------------------------------------------------------- /ocr_vehiclelicense.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 行驶证识别 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 33 | 34 | 35 |

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选择行驶证照片

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44 | 45 | 46 | 57 | 58 | 59 | 103 | -------------------------------------------------------------------------------- /beautyFace.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 照片美化 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 39 | 40 | 41 |

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选择照片

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美化结果

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52 | 53 | 54 | 64 | 65 | 66 | 124 | -------------------------------------------------------------------------------- /segment.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 人体抠像 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 39 | 40 | 41 |

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选择人体照片

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抠图结果

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52 | 53 | 54 | 64 | 65 | 66 | 124 | -------------------------------------------------------------------------------- /gestureRecognize.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 手势识别 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 33 | 34 | 35 |

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选择手势照片

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44 | 45 | 46 | 57 | 58 | 59 | 181 | -------------------------------------------------------------------------------- /compareFace.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 人脸比对 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 64 | 65 | 66 |

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选择照片1

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选择照片2

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80 | 81 | 82 | 98 | 99 | 100 | 196 | -------------------------------------------------------------------------------- /mergeFace.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 人脸融合 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 65 | 66 | 67 |

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选择待融合照片

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选择模板照片

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81 | 82 | 83 | 99 | 100 | 101 | 207 | -------------------------------------------------------------------------------- /searchFace.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 人脸搜索 13 | 14 | 15 | 16 | 29 | 30 | 31 |

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第一步:创建人脸集合

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第二步:添加人脸到集合

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第三步:搜索一个人脸

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搜索结果:

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43 | 44 | 45 | 46 | 47 | 50 | 51 | -------------------------------------------------------------------------------- /detectBody.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 人体检测 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 49 | 50 | 51 |

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选择人体照片

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62 | 63 | 64 | 65 | 73 | 74 | 266 | -------------------------------------------------------------------------------- /detectFace.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 人脸检测 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 49 | 50 | 51 |

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选择照片

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62 | 63 | 64 | 65 | 73 | 74 | 278 | -------------------------------------------------------------------------------- /facepp_sdk/facepp_sdk.js: -------------------------------------------------------------------------------- 1 | //api接口地址 2 | //base url for China 3 | 4 | const FACE_HOST_CN = "https://api-cn.faceplusplus.com/"; 5 | const FACE_HOST_US = "https://api-us.faceplusplus.com/"; 6 | 7 | const FACE_FACEPP = "facepp/v3/"; 8 | const FACE_DETECT = FACE_FACEPP + "detect"; 9 | const FACE_COMPARE = FACE_FACEPP + "compare"; 10 | const FACE_SEARCH = FACE_FACEPP + "search"; 11 | 12 | // facetoken 13 | const FACETOEKN = FACE_FACEPP + "face/"; 14 | const FACETOEKN_ANALYZE = FACETOEKN + "analyze"; 15 | const FACETOEKN_SET_USERID = FACETOEKN + "setuserid"; 16 | const FACETOEKN_GET_DETAIL = FACETOEKN + "getdetail"; 17 | 18 | //faceSet 19 | const FACESET = FACE_FACEPP + "faceset/"; 20 | const FACESET_CREATE = FACESET + "create"; 21 | const FACESET_ADDFACE = FACESET + "addface"; 22 | const FACESET_REMOVE_FACE = FACESET + "removeface"; 23 | const FACESET_ADDFACE_ASYNC = FACESET + "async/addface"; 24 | const FACESET_REMOVE_FACE_ASYNC = FACESET + "async/removeface"; 25 | const FACEAET_TASK_QUERY = FACESET + "async/task_status"; 26 | const FACESET_UPDATE = FACESET + "update"; 27 | const FACESET_GET_DETAIL = FACESET + "getdetail"; 28 | const FACESET_GET_FACESETS = FACESET + "getfacesets"; 29 | const FACESET_DELETE = FACESET + "delete"; 30 | 31 | 32 | //人体检测和人体抠图 33 | const HUMANBODY_DETECT = "humanbodypp/v1/detect"; 34 | const HUMANBODY_SEGMENT = "humanbodypp/v2/segment"; 35 | const HUMANBODY_SKELETON = "humanbodypp/v1/skeleton"; 36 | const HUMANBODY_GESTURE = "humanbodypp/beta/gesture"; 37 | 38 | //人脸融合 39 | const IMAGE_MERGEFACE = "imagepp/v1/mergeface"; 40 | 41 | //OCR 识别身份证/驾驶证/行驶证/银行卡,Only for china 42 | 43 | // 美颜api 44 | const FACE_BEAUTY ="facepp/beta/beautify"; 45 | 46 | //证件识别 47 | const OCR_CN = "cardpp/"; 48 | const OCR_IDCARD = OCR_CN + "v1/ocridcard"; 49 | const OCR_DRIVER_LICENSE = OCR_CN + "v2/ocrdriverlicense"; 50 | const OCR_VEHICLE_LICENSE = OCR_CN + "v1/ocrvehiclelicense"; 51 | const OCR_BNAKCARD = OCR_CN + "v1/ocrbankcard"; 52 | 53 | //车牌识别/文字识别/场景识别/文字识别 54 | const IMAGE_CN = "imagepp/"; 55 | const IMAGE_Plate = IMAGE_CN + "v1/licenseplate"; 56 | const IMAGE_Object = IMAGE_CN + "beta/detectsceneandobject"; 57 | const IMAGE_Text = IMAGE_CN + "v1/recognizetext"; 58 | 59 | 60 | /* FACEPP对象 61 | * apikey : 填写apikey 62 | * apisecret : 填写 apisecret 63 | * isChina : 是否是国内用户 64 | */ 65 | 66 | function FACEPP(apikey, apisecret, isChina) { 67 | 68 | if (apikey == null || apisecret == null){ 69 | alert('apikey 或 apisecret 不能为空'); 70 | console.log('apikey or apisecret can not be null'); 71 | } 72 | 73 | this.apikey = apikey; 74 | this.apisecret = apisecret; 75 | this.isChina = isChina; 76 | 77 | if (isChina){ 78 | this.baseurl = FACE_HOST_CN; 79 | 80 | } else { 81 | this.baseurl = FACE_HOST_US; 82 | } 83 | 84 | //人脸检测 85 | this.detectFace = function (param,success, failed) { 86 | 87 | var url = this.baseurl + FACE_DETECT; 88 | 89 | this.request(url,param,success, failed); 90 | }; 91 | 92 | //人脸比对 93 | this.compareFace = function (param, success, failed) { 94 | var url = this.baseurl + FACE_COMPARE; 95 | this.request(url, param, success, failed); 96 | }; 97 | 98 | //**************对faceset(人脸集合)的操作*************** 99 | 100 | // 创建faceset 101 | this.faceSetCreate = function (param, success, failed) { 102 | var url = this.baseurl + FACESET_CREATE; 103 | this.request(url, param, success, failed); 104 | }; 105 | 106 | // 删除faceset 107 | this.faceSetdelete = function (param, success, failed) { 108 | var url = this.baseurl + FACESET_DELETE; 109 | this.request(url, param, success, failed); 110 | }; 111 | 112 | //faceset 更新 113 | this.faceSetUpdate = function (param, success, failed) { 114 | var url = this.baseurl + FACESET_UPDATE; 115 | this.request(url, param, success, failed); 116 | }; 117 | 118 | // 查询指定的faceset 119 | this.faceSetQuery = function (param, success, failed) { 120 | var url = this.baseurl + FACESET_GET_DETAIL; 121 | this.request(url, param, success, failed); 122 | }; 123 | 124 | // 获取所有的faceset 125 | this.faceSetGetAll = function (param, success, failed) { 126 | var url = this.baseurl + FACESET_GET_FACESETS; 127 | this.request(url, param, success, failed); 128 | }; 129 | 130 | 131 | //**************管理指定faceset内的人脸*************** 132 | 133 | //人脸搜索,根据相似度搜索人脸 134 | this.faceSearch = function (param, success, failed) { 135 | var url = this.baseurl + FACE_SEARCH; 136 | this.request(url, param, success, failed); 137 | }; 138 | 139 | // 添加人脸到指定faceset 140 | this.faceAdd = function (param, success, failed) { 141 | var url = this.baseurl + FACESET_ADDFACE; 142 | this.request(url, param, success, failed); 143 | }; 144 | 145 | // 删除指定faceset中的某个人脸 146 | this.faceDelete = function (param, success, failed) { 147 | var url = this.baseurl + FACESET_REMOVE_FACE; 148 | this.request(url, param, success, failed); 149 | }; 150 | 151 | // 异步添加人脸到指定faceset 152 | this.faceAddAsnc = function (param, success, failed) { 153 | var url = this.baseurl + FACESET_ADDFACE_ASYNC; 154 | this.request(url, param, success, failed); 155 | }; 156 | 157 | // 异步删除指定faceset中的某个人脸 158 | this.faceDelete = function (param, success, failed) { 159 | var url = this.baseurl + FACESET_REMOVE_FACE_ASYNC; 160 | this.request(url, param, success, failed); 161 | }; 162 | 163 | // 异步任务状态查询 164 | this.asyncStatus = function (param, success, failed) { 165 | var url = this.baseurl + FACEAET_TASK_QUERY; 166 | this.request(url, param, success, failed); 167 | }; 168 | 169 | //**************对facetoken(人脸标识)的操作*************** 170 | // 设置userid 171 | this.facetokenSetUserID = function (param, success, failed) { 172 | var url = this.baseurl + FACETOEKN_SET_USERID; 173 | this.request(url, param, success, failed); 174 | }; 175 | 176 | //获取facetoken的本身的详细信息 177 | this.facetokenGetDetail = function (param, success, failed) { 178 | var url = this.baseurl + FACETOEKN_GET_DETAIL; 179 | this.request(url, param, success, failed); 180 | }; 181 | 182 | //根据facetoken获取人脸信息 183 | this.facetokenAnalyze = function (param, success, failed) { 184 | var url = this.baseurl + FACETOEKN_ANALYZE; 185 | this.request(url, param, success, failed); 186 | }; 187 | 188 | //人脸融合 189 | this.mergeFace = function (param, success, failed) { 190 | var url = this.baseurl + IMAGE_MERGEFACE; 191 | this.request(url, param, success, failed); 192 | }; 193 | 194 | //**************人体识别相关*************** 195 | //人体检测 196 | this.bodyDetect = function (param, success, failed) { 197 | var url = this.baseurl + HUMANBODY_DETECT; 198 | this.request(url, param, success, failed); 199 | }; 200 | 201 | //人体关键点检测 202 | this.skeletonDetect = function (param, success, failed) { 203 | var url = this.baseurl + HUMANBODY_SKELETON; 204 | this.request(url, param, success, failed); 205 | }; 206 | 207 | //人体抠像 208 | this.bodySegent = function (param, success, failed) { 209 | var url = this.baseurl + HUMANBODY_SEGMENT; 210 | this.request(url, param, success, failed); 211 | }; 212 | 213 | //手势识别 214 | this.gestureRecognize = function (param, success, failed) { 215 | var url = this.baseurl + HUMANBODY_GESTURE; 216 | this.request(url, param, success, failed); 217 | }; 218 | 219 | //**************中文版特有,*************** 220 | //照片美化 221 | this.faceBeauty = function (param, success, failed) { 222 | var url = this.baseurl + FACE_BEAUTY; 223 | this.request(url, param, success, failed); 224 | }; 225 | 226 | //身份证识别 227 | this.OCRIdCard = function (param, success, failed) { 228 | var url = this.baseurl + OCR_IDCARD; 229 | this.request(url, param, success, failed); 230 | }; 231 | 232 | //驾驶证识别 233 | this.OCRDriverCard = function (param, success, failed) { 234 | var url = this.baseurl + OCR_DRIVER_LICENSE; 235 | this.request(url, param, success, failed); 236 | }; 237 | 238 | //行驶证识别 239 | this.OCRVehicleLicense= function (param, success, failed) { 240 | var url = this.baseurl + OCR_VEHICLE_LICENSE; 241 | this.request(url, param, success, failed); 242 | }; 243 | 244 | //银行卡识别 245 | this.OCRBankCard = function (param, success, failed) { 246 | var url = this.baseurl + OCR_BNAKCARD; 247 | this.request(url, param, success, failed); 248 | }; 249 | 250 | //车牌号识别 251 | this.OCRLicensePlate = function (param, success, failed) { 252 | var url = this.baseurl + IMAGE_Plate; 253 | this.request(url, param, success, failed); 254 | }; 255 | 256 | //文字识别 257 | this.OCRText = function (param, success, failed) { 258 | var url = this.baseurl + IMAGE_Text; 259 | this.request(url, param, success, failed); 260 | }; 261 | 262 | //场景识别 263 | this.DetectScene = function (param, success, failed) { 264 | var url = this.baseurl + IMAGE_Object; 265 | this.request(url, param, success, failed); 266 | }; 267 | 268 | /* base64转二进制 269 | * 传入base64数据 270 | */ 271 | this.dataURItoBlob = function(dataURI) { // 图片转成Buffer 272 | const byteString = atob(dataURI.split(',')[1]); 273 | const mimeString = dataURI.split(',')[0].split(':')[1].split(';')[0]; 274 | const ab = new ArrayBuffer(byteString.length); 275 | const ia = new Uint8Array(ab); 276 | for (let i = 0; i < byteString.length; i++) { 277 | ia[i] = byteString.charCodeAt(i); 278 | } 279 | return new Blob([ab], {type: mimeString}); 280 | } 281 | 282 | /* POST请求 283 | * url: 请求地址 284 | * 请求携带的参数 285 | */ 286 | this.request = function (url, dic, success, failed) {//发送POST请求 287 | 288 | const formData = new FormData(); 289 | 290 | formData.append('api_key',this.apikey); 291 | formData.append('api_secret',this.apisecret); 292 | 293 | for (var key in dic){//遍历拼接 294 | formData.append(key,dic[key]); 295 | } 296 | 297 | $.ajax({ 298 | url: url, 299 | type: 'POST', 300 | cache: false, 301 | data: formData, 302 | processData: false, 303 | contentType: false, 304 | timeout: 20000,//20秒超时时间 305 | }).done(success).fail(failed); 306 | } 307 | } 308 | -------------------------------------------------------------------------------- /skeletonDetect.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 人体关键点检测 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 49 | 50 | 51 |

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选择人体照片

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62 | 63 | 64 | 65 | 73 | 74 | 315 | -------------------------------------------------------------------------------- /facepp_sdk/exif.js: -------------------------------------------------------------------------------- 1 | (function() { 2 | 3 | var debug = false; 4 | 5 | var root = this; 6 | 7 | var EXIF = function(obj) { 8 | if (obj instanceof EXIF) return obj; 9 | if (!(this instanceof EXIF)) return new EXIF(obj); 10 | this.EXIFwrapped = obj; 11 | }; 12 | 13 | if (typeof exports !== 'undefined') { 14 | if (typeof module !== 'undefined' && module.exports) { 15 | exports = module.exports = EXIF; 16 | } 17 | exports.EXIF = EXIF; 18 | } else { 19 | root.EXIF = EXIF; 20 | } 21 | 22 | var ExifTags = EXIF.Tags = { 23 | 24 | // version tags 25 | 0x9000 : "ExifVersion", // EXIF version 26 | 0xA000 : "FlashpixVersion", // Flashpix format version 27 | 28 | // colorspace tags 29 | 0xA001 : "ColorSpace", // Color space information tag 30 | 31 | // image configuration 32 | 0xA002 : "PixelXDimension", // Valid width of meaningful image 33 | 0xA003 : "PixelYDimension", // Valid height of meaningful image 34 | 0x9101 : "ComponentsConfiguration", // Information about channels 35 | 0x9102 : "CompressedBitsPerPixel", // Compressed bits per pixel 36 | 37 | // user information 38 | 0x927C : "MakerNote", // Any desired information written by the manufacturer 39 | 0x9286 : "UserComment", // Comments by user 40 | 41 | // related file 42 | 0xA004 : "RelatedSoundFile", // Name of related sound file 43 | 44 | // date and time 45 | 0x9003 : "DateTimeOriginal", // Date and time when the original image was generated 46 | 0x9004 : "DateTimeDigitized", // Date and time when the image was stored digitally 47 | 0x9290 : "SubsecTime", // Fractions of seconds for DateTime 48 | 0x9291 : "SubsecTimeOriginal", // Fractions of seconds for DateTimeOriginal 49 | 0x9292 : "SubsecTimeDigitized", // Fractions of seconds for DateTimeDigitized 50 | 51 | // picture-taking conditions 52 | 0x829A : "ExposureTime", // Exposure time (in seconds) 53 | 0x829D : "FNumber", // F number 54 | 0x8822 : "ExposureProgram", // Exposure program 55 | 0x8824 : "SpectralSensitivity", // Spectral sensitivity 56 | 0x8827 : "ISOSpeedRatings", // ISO speed rating 57 | 0x8828 : "OECF", // Optoelectric conversion factor 58 | 0x9201 : "ShutterSpeedValue", // Shutter speed 59 | 0x9202 : "ApertureValue", // Lens aperture 60 | 0x9203 : "BrightnessValue", // Value of brightness 61 | 0x9204 : "ExposureBias", // Exposure bias 62 | 0x9205 : "MaxApertureValue", // Smallest F number of lens 63 | 0x9206 : "SubjectDistance", // Distance to subject in meters 64 | 0x9207 : "MeteringMode", // Metering mode 65 | 0x9208 : "LightSource", // Kind of light source 66 | 0x9209 : "Flash", // Flash status 67 | 0x9214 : "SubjectArea", // Location and area of main subject 68 | 0x920A : "FocalLength", // Focal length of the lens in mm 69 | 0xA20B : "FlashEnergy", // Strobe energy in BCPS 70 | 0xA20C : "SpatialFrequencyResponse", // 71 | 0xA20E : "FocalPlaneXResolution", // Number of pixels in width direction per FocalPlaneResolutionUnit 72 | 0xA20F : "FocalPlaneYResolution", // Number of pixels in height direction per FocalPlaneResolutionUnit 73 | 0xA210 : "FocalPlaneResolutionUnit", // Unit for measuring FocalPlaneXResolution and FocalPlaneYResolution 74 | 0xA214 : "SubjectLocation", // Location of subject in image 75 | 0xA215 : "ExposureIndex", // Exposure index selected on camera 76 | 0xA217 : "SensingMethod", // Image sensor type 77 | 0xA300 : "FileSource", // Image source (3 == DSC) 78 | 0xA301 : "SceneType", // Scene type (1 == directly photographed) 79 | 0xA302 : "CFAPattern", // Color filter array geometric pattern 80 | 0xA401 : "CustomRendered", // Special processing 81 | 0xA402 : "ExposureMode", // Exposure mode 82 | 0xA403 : "WhiteBalance", // 1 = auto white balance, 2 = manual 83 | 0xA404 : "DigitalZoomRation", // Digital zoom ratio 84 | 0xA405 : "FocalLengthIn35mmFilm", // Equivalent foacl length assuming 35mm film camera (in mm) 85 | 0xA406 : "SceneCaptureType", // Type of scene 86 | 0xA407 : "GainControl", // Degree of overall image gain adjustment 87 | 0xA408 : "Contrast", // Direction of contrast processing applied by camera 88 | 0xA409 : "Saturation", // Direction of saturation processing applied by camera 89 | 0xA40A : "Sharpness", // Direction of sharpness processing applied by camera 90 | 0xA40B : "DeviceSettingDescription", // 91 | 0xA40C : "SubjectDistanceRange", // Distance to subject 92 | 93 | // other tags 94 | 0xA005 : "InteroperabilityIFDPointer", 95 | 0xA420 : "ImageUniqueID" // Identifier assigned uniquely to each image 96 | }; 97 | 98 | var TiffTags = EXIF.TiffTags = { 99 | 0x0100 : "ImageWidth", 100 | 0x0101 : "ImageHeight", 101 | 0x8769 : "ExifIFDPointer", 102 | 0x8825 : "GPSInfoIFDPointer", 103 | 0xA005 : "InteroperabilityIFDPointer", 104 | 0x0102 : "BitsPerSample", 105 | 0x0103 : "Compression", 106 | 0x0106 : "PhotometricInterpretation", 107 | 0x0112 : "Orientation", 108 | 0x0115 : "SamplesPerPixel", 109 | 0x011C : "PlanarConfiguration", 110 | 0x0212 : "YCbCrSubSampling", 111 | 0x0213 : "YCbCrPositioning", 112 | 0x011A : "XResolution", 113 | 0x011B : "YResolution", 114 | 0x0128 : "ResolutionUnit", 115 | 0x0111 : "StripOffsets", 116 | 0x0116 : "RowsPerStrip", 117 | 0x0117 : "StripByteCounts", 118 | 0x0201 : "JPEGInterchangeFormat", 119 | 0x0202 : "JPEGInterchangeFormatLength", 120 | 0x012D : "TransferFunction", 121 | 0x013E : "WhitePoint", 122 | 0x013F : "PrimaryChromaticities", 123 | 0x0211 : "YCbCrCoefficients", 124 | 0x0214 : "ReferenceBlackWhite", 125 | 0x0132 : "DateTime", 126 | 0x010E : "ImageDescription", 127 | 0x010F : "Make", 128 | 0x0110 : "Model", 129 | 0x0131 : "Software", 130 | 0x013B : "Artist", 131 | 0x8298 : "Copyright" 132 | }; 133 | 134 | var GPSTags = EXIF.GPSTags = { 135 | 0x0000 : "GPSVersionID", 136 | 0x0001 : "GPSLatitudeRef", 137 | 0x0002 : "GPSLatitude", 138 | 0x0003 : "GPSLongitudeRef", 139 | 0x0004 : "GPSLongitude", 140 | 0x0005 : "GPSAltitudeRef", 141 | 0x0006 : "GPSAltitude", 142 | 0x0007 : "GPSTimeStamp", 143 | 0x0008 : "GPSSatellites", 144 | 0x0009 : "GPSStatus", 145 | 0x000A : "GPSMeasureMode", 146 | 0x000B : "GPSDOP", 147 | 0x000C : "GPSSpeedRef", 148 | 0x000D : "GPSSpeed", 149 | 0x000E : "GPSTrackRef", 150 | 0x000F : "GPSTrack", 151 | 0x0010 : "GPSImgDirectionRef", 152 | 0x0011 : "GPSImgDirection", 153 | 0x0012 : "GPSMapDatum", 154 | 0x0013 : "GPSDestLatitudeRef", 155 | 0x0014 : "GPSDestLatitude", 156 | 0x0015 : "GPSDestLongitudeRef", 157 | 0x0016 : "GPSDestLongitude", 158 | 0x0017 : "GPSDestBearingRef", 159 | 0x0018 : "GPSDestBearing", 160 | 0x0019 : "GPSDestDistanceRef", 161 | 0x001A : "GPSDestDistance", 162 | 0x001B : "GPSProcessingMethod", 163 | 0x001C : "GPSAreaInformation", 164 | 0x001D : "GPSDateStamp", 165 | 0x001E : "GPSDifferential" 166 | }; 167 | 168 | // EXIF 2.3 Spec 169 | var IFD1Tags = EXIF.IFD1Tags = { 170 | 0x0100: "ImageWidth", 171 | 0x0101: "ImageHeight", 172 | 0x0102: "BitsPerSample", 173 | 0x0103: "Compression", 174 | 0x0106: "PhotometricInterpretation", 175 | 0x0111: "StripOffsets", 176 | 0x0112: "Orientation", 177 | 0x0115: "SamplesPerPixel", 178 | 0x0116: "RowsPerStrip", 179 | 0x0117: "StripByteCounts", 180 | 0x011A: "XResolution", 181 | 0x011B: "YResolution", 182 | 0x011C: "PlanarConfiguration", 183 | 0x0128: "ResolutionUnit", 184 | 0x0201: "JpegIFOffset", // When image format is JPEG, this value show offset to JPEG data stored.(aka "ThumbnailOffset" or "JPEGInterchangeFormat") 185 | 0x0202: "JpegIFByteCount", // When image format is JPEG, this value shows data size of JPEG image (aka "ThumbnailLength" or "JPEGInterchangeFormatLength") 186 | 0x0211: "YCbCrCoefficients", 187 | 0x0212: "YCbCrSubSampling", 188 | 0x0213: "YCbCrPositioning", 189 | 0x0214: "ReferenceBlackWhite" 190 | }; 191 | 192 | var StringValues = EXIF.StringValues = { 193 | ExposureProgram : { 194 | 0 : "Not defined", 195 | 1 : "Manual", 196 | 2 : "Normal program", 197 | 3 : "Aperture priority", 198 | 4 : "Shutter priority", 199 | 5 : "Creative program", 200 | 6 : "Action program", 201 | 7 : "Portrait mode", 202 | 8 : "Landscape mode" 203 | }, 204 | MeteringMode : { 205 | 0 : "Unknown", 206 | 1 : "Average", 207 | 2 : "CenterWeightedAverage", 208 | 3 : "Spot", 209 | 4 : "MultiSpot", 210 | 5 : "Pattern", 211 | 6 : "Partial", 212 | 255 : "Other" 213 | }, 214 | LightSource : { 215 | 0 : "Unknown", 216 | 1 : "Daylight", 217 | 2 : "Fluorescent", 218 | 3 : "Tungsten (incandescent light)", 219 | 4 : "Flash", 220 | 9 : "Fine weather", 221 | 10 : "Cloudy weather", 222 | 11 : "Shade", 223 | 12 : "Daylight fluorescent (D 5700 - 7100K)", 224 | 13 : "Day white fluorescent (N 4600 - 5400K)", 225 | 14 : "Cool white fluorescent (W 3900 - 4500K)", 226 | 15 : "White fluorescent (WW 3200 - 3700K)", 227 | 17 : "Standard light A", 228 | 18 : "Standard light B", 229 | 19 : "Standard light C", 230 | 20 : "D55", 231 | 21 : "D65", 232 | 22 : "D75", 233 | 23 : "D50", 234 | 24 : "ISO studio tungsten", 235 | 255 : "Other" 236 | }, 237 | Flash : { 238 | 0x0000 : "Flash did not fire", 239 | 0x0001 : "Flash fired", 240 | 0x0005 : "Strobe return light not detected", 241 | 0x0007 : "Strobe return light detected", 242 | 0x0009 : "Flash fired, compulsory flash mode", 243 | 0x000D : "Flash fired, compulsory flash mode, return light not detected", 244 | 0x000F : "Flash fired, compulsory flash mode, return light detected", 245 | 0x0010 : "Flash did not fire, compulsory flash mode", 246 | 0x0018 : "Flash did not fire, auto mode", 247 | 0x0019 : "Flash fired, auto mode", 248 | 0x001D : "Flash fired, auto mode, return light not detected", 249 | 0x001F : "Flash fired, auto mode, return light detected", 250 | 0x0020 : "No flash function", 251 | 0x0041 : "Flash fired, red-eye reduction mode", 252 | 0x0045 : "Flash fired, red-eye reduction mode, return light not detected", 253 | 0x0047 : "Flash fired, red-eye reduction mode, return light detected", 254 | 0x0049 : "Flash fired, compulsory flash mode, red-eye reduction mode", 255 | 0x004D : "Flash fired, compulsory flash mode, red-eye reduction mode, return light not detected", 256 | 0x004F : "Flash fired, compulsory flash mode, red-eye reduction mode, return light detected", 257 | 0x0059 : "Flash fired, auto mode, red-eye reduction mode", 258 | 0x005D : "Flash fired, auto mode, return light not detected, red-eye reduction mode", 259 | 0x005F : "Flash fired, auto mode, return light detected, red-eye reduction mode" 260 | }, 261 | SensingMethod : { 262 | 1 : "Not defined", 263 | 2 : "One-chip color area sensor", 264 | 3 : "Two-chip color area sensor", 265 | 4 : "Three-chip color area sensor", 266 | 5 : "Color sequential area sensor", 267 | 7 : "Trilinear sensor", 268 | 8 : "Color sequential linear sensor" 269 | }, 270 | SceneCaptureType : { 271 | 0 : "Standard", 272 | 1 : "Landscape", 273 | 2 : "Portrait", 274 | 3 : "Night scene" 275 | }, 276 | SceneType : { 277 | 1 : "Directly photographed" 278 | }, 279 | CustomRendered : { 280 | 0 : "Normal process", 281 | 1 : "Custom process" 282 | }, 283 | WhiteBalance : { 284 | 0 : "Auto white balance", 285 | 1 : "Manual white balance" 286 | }, 287 | GainControl : { 288 | 0 : "None", 289 | 1 : "Low gain up", 290 | 2 : "High gain up", 291 | 3 : "Low gain down", 292 | 4 : "High gain down" 293 | }, 294 | Contrast : { 295 | 0 : "Normal", 296 | 1 : "Soft", 297 | 2 : "Hard" 298 | }, 299 | Saturation : { 300 | 0 : "Normal", 301 | 1 : "Low saturation", 302 | 2 : "High saturation" 303 | }, 304 | Sharpness : { 305 | 0 : "Normal", 306 | 1 : "Soft", 307 | 2 : "Hard" 308 | }, 309 | SubjectDistanceRange : { 310 | 0 : "Unknown", 311 | 1 : "Macro", 312 | 2 : "Close view", 313 | 3 : "Distant view" 314 | }, 315 | FileSource : { 316 | 3 : "DSC" 317 | }, 318 | 319 | Components : { 320 | 0 : "", 321 | 1 : "Y", 322 | 2 : "Cb", 323 | 3 : "Cr", 324 | 4 : "R", 325 | 5 : "G", 326 | 6 : "B" 327 | } 328 | }; 329 | 330 | function addEvent(element, event, handler) { 331 | if (element.addEventListener) { 332 | element.addEventListener(event, handler, false); 333 | } else if (element.attachEvent) { 334 | element.attachEvent("on" + event, handler); 335 | } 336 | } 337 | 338 | function imageHasData(img) { 339 | return !!(img.exifdata); 340 | } 341 | 342 | 343 | function base64ToArrayBuffer(base64, contentType) { 344 | contentType = contentType || base64.match(/^data\:([^\;]+)\;base64,/mi)[1] || ''; // e.g. 'data:image/jpeg;base64,...' => 'image/jpeg' 345 | base64 = base64.replace(/^data\:([^\;]+)\;base64,/gmi, ''); 346 | var binary = atob(base64); 347 | var len = binary.length; 348 | var buffer = new ArrayBuffer(len); 349 | var view = new Uint8Array(buffer); 350 | for (var i = 0; i < len; i++) { 351 | view[i] = binary.charCodeAt(i); 352 | } 353 | return buffer; 354 | } 355 | 356 | function objectURLToBlob(url, callback) { 357 | var http = new XMLHttpRequest(); 358 | http.open("GET", url, true); 359 | http.responseType = "blob"; 360 | http.onload = function(e) { 361 | if (this.status == 200 || this.status === 0) { 362 | callback(this.response); 363 | } 364 | }; 365 | http.send(); 366 | } 367 | 368 | function getImageData(img, callback) { 369 | function handleBinaryFile(binFile) { 370 | var data = findEXIFinJPEG(binFile); 371 | img.exifdata = data || {}; 372 | var iptcdata = findIPTCinJPEG(binFile); 373 | img.iptcdata = iptcdata || {}; 374 | if (EXIF.isXmpEnabled) { 375 | var xmpdata= findXMPinJPEG(binFile); 376 | img.xmpdata = xmpdata || {}; 377 | } 378 | if (callback) { 379 | callback.call(img); 380 | } 381 | } 382 | 383 | if (img.src) { 384 | if (/^data\:/i.test(img.src)) { // Data URI 385 | var arrayBuffer = base64ToArrayBuffer(img.src); 386 | handleBinaryFile(arrayBuffer); 387 | 388 | } else if (/^blob\:/i.test(img.src)) { // Object URL 389 | var fileReader = new FileReader(); 390 | fileReader.onload = function(e) { 391 | handleBinaryFile(e.target.result); 392 | }; 393 | objectURLToBlob(img.src, function (blob) { 394 | fileReader.readAsArrayBuffer(blob); 395 | }); 396 | } else { 397 | var http = new XMLHttpRequest(); 398 | http.onload = function() { 399 | if (this.status == 200 || this.status === 0) { 400 | handleBinaryFile(http.response); 401 | } else { 402 | throw "Could not load image"; 403 | } 404 | http = null; 405 | }; 406 | http.open("GET", img.src, true); 407 | http.responseType = "arraybuffer"; 408 | http.send(null); 409 | } 410 | } else if (self.FileReader && (img instanceof self.Blob || img instanceof self.File)) { 411 | var fileReader = new FileReader(); 412 | fileReader.onload = function(e) { 413 | if (debug) console.log("Got file of length " + e.target.result.byteLength); 414 | handleBinaryFile(e.target.result); 415 | }; 416 | 417 | fileReader.readAsArrayBuffer(img); 418 | } 419 | } 420 | 421 | function findEXIFinJPEG(file) { 422 | var dataView = new DataView(file); 423 | 424 | if (debug) console.log("Got file of length " + file.byteLength); 425 | if ((dataView.getUint8(0) != 0xFF) || (dataView.getUint8(1) != 0xD8)) { 426 | if (debug) console.log("Not a valid JPEG"); 427 | return false; // not a valid jpeg 428 | } 429 | 430 | var offset = 2, 431 | length = file.byteLength, 432 | marker; 433 | 434 | while (offset < length) { 435 | if (dataView.getUint8(offset) != 0xFF) { 436 | if (debug) console.log("Not a valid marker at offset " + offset + ", found: " + dataView.getUint8(offset)); 437 | return false; // not a valid marker, something is wrong 438 | } 439 | 440 | marker = dataView.getUint8(offset + 1); 441 | if (debug) console.log(marker); 442 | 443 | // we could implement handling for other markers here, 444 | // but we're only looking for 0xFFE1 for EXIF data 445 | 446 | if (marker == 225) { 447 | if (debug) console.log("Found 0xFFE1 marker"); 448 | 449 | return readEXIFData(dataView, offset + 4, dataView.getUint16(offset + 2) - 2); 450 | 451 | // offset += 2 + file.getShortAt(offset+2, true); 452 | 453 | } else { 454 | offset += 2 + dataView.getUint16(offset+2); 455 | } 456 | 457 | } 458 | 459 | } 460 | 461 | function findIPTCinJPEG(file) { 462 | var dataView = new DataView(file); 463 | 464 | if (debug) console.log("Got file of length " + file.byteLength); 465 | if ((dataView.getUint8(0) != 0xFF) || (dataView.getUint8(1) != 0xD8)) { 466 | if (debug) console.log("Not a valid JPEG"); 467 | return false; // not a valid jpeg 468 | } 469 | 470 | var offset = 2, 471 | length = file.byteLength; 472 | 473 | 474 | var isFieldSegmentStart = function(dataView, offset){ 475 | return ( 476 | dataView.getUint8(offset) === 0x38 && 477 | dataView.getUint8(offset+1) === 0x42 && 478 | dataView.getUint8(offset+2) === 0x49 && 479 | dataView.getUint8(offset+3) === 0x4D && 480 | dataView.getUint8(offset+4) === 0x04 && 481 | dataView.getUint8(offset+5) === 0x04 482 | ); 483 | }; 484 | 485 | while (offset < length) { 486 | 487 | if ( isFieldSegmentStart(dataView, offset )){ 488 | 489 | // Get the length of the name header (which is padded to an even number of bytes) 490 | var nameHeaderLength = dataView.getUint8(offset+7); 491 | if(nameHeaderLength % 2 !== 0) nameHeaderLength += 1; 492 | // Check for pre photoshop 6 format 493 | if(nameHeaderLength === 0) { 494 | // Always 4 495 | nameHeaderLength = 4; 496 | } 497 | 498 | var startOffset = offset + 8 + nameHeaderLength; 499 | var sectionLength = dataView.getUint16(offset + 6 + nameHeaderLength); 500 | 501 | return readIPTCData(file, startOffset, sectionLength); 502 | 503 | break; 504 | 505 | } 506 | 507 | 508 | // Not the marker, continue searching 509 | offset++; 510 | 511 | } 512 | 513 | } 514 | var IptcFieldMap = { 515 | 0x78 : 'caption', 516 | 0x6E : 'credit', 517 | 0x19 : 'keywords', 518 | 0x37 : 'dateCreated', 519 | 0x50 : 'byline', 520 | 0x55 : 'bylineTitle', 521 | 0x7A : 'captionWriter', 522 | 0x69 : 'headline', 523 | 0x74 : 'copyright', 524 | 0x0F : 'category' 525 | }; 526 | function readIPTCData(file, startOffset, sectionLength){ 527 | var dataView = new DataView(file); 528 | var data = {}; 529 | var fieldValue, fieldName, dataSize, segmentType, segmentSize; 530 | var segmentStartPos = startOffset; 531 | while(segmentStartPos < startOffset+sectionLength) { 532 | if(dataView.getUint8(segmentStartPos) === 0x1C && dataView.getUint8(segmentStartPos+1) === 0x02){ 533 | segmentType = dataView.getUint8(segmentStartPos+2); 534 | if(segmentType in IptcFieldMap) { 535 | dataSize = dataView.getInt16(segmentStartPos+3); 536 | segmentSize = dataSize + 5; 537 | fieldName = IptcFieldMap[segmentType]; 538 | fieldValue = getStringFromDB(dataView, segmentStartPos+5, dataSize); 539 | // Check if we already stored a value with this name 540 | if(data.hasOwnProperty(fieldName)) { 541 | // Value already stored with this name, create multivalue field 542 | if(data[fieldName] instanceof Array) { 543 | data[fieldName].push(fieldValue); 544 | } 545 | else { 546 | data[fieldName] = [data[fieldName], fieldValue]; 547 | } 548 | } 549 | else { 550 | data[fieldName] = fieldValue; 551 | } 552 | } 553 | 554 | } 555 | segmentStartPos++; 556 | } 557 | return data; 558 | } 559 | 560 | 561 | 562 | function readTags(file, tiffStart, dirStart, strings, bigEnd) { 563 | var entries = file.getUint16(dirStart, !bigEnd), 564 | tags = {}, 565 | entryOffset, tag, 566 | i; 567 | 568 | for (i=0;i 4 ? valueOffset : (entryOffset + 8); 593 | vals = []; 594 | for (n=0;n 4 ? valueOffset : (entryOffset + 8); 602 | return getStringFromDB(file, offset, numValues-1); 603 | 604 | case 3: // short, 16 bit int 605 | if (numValues == 1) { 606 | return file.getUint16(entryOffset + 8, !bigEnd); 607 | } else { 608 | offset = numValues > 2 ? valueOffset : (entryOffset + 8); 609 | vals = []; 610 | for (n=0;n dataView.byteLength) { // this should not happen 695 | // console.log('******** IFD1Offset is outside the bounds of the DataView ********'); 696 | return {}; 697 | } 698 | // console.log('******* thumbnail IFD offset (IFD1) is: %s', IFD1OffsetPointer); 699 | 700 | var thumbTags = readTags(dataView, tiffStart, tiffStart + IFD1OffsetPointer, IFD1Tags, bigEnd) 701 | 702 | // EXIF 2.3 specification for JPEG format thumbnail 703 | 704 | // If the value of Compression(0x0103) Tag in IFD1 is '6', thumbnail image format is JPEG. 705 | // Most of Exif image uses JPEG format for thumbnail. In that case, you can get offset of thumbnail 706 | // by JpegIFOffset(0x0201) Tag in IFD1, size of thumbnail by JpegIFByteCount(0x0202) Tag. 707 | // Data format is ordinary JPEG format, starts from 0xFFD8 and ends by 0xFFD9. It seems that 708 | // JPEG format and 160x120pixels of size are recommended thumbnail format for Exif2.1 or later. 709 | 710 | if (thumbTags['Compression']) { 711 | // console.log('Thumbnail image found!'); 712 | 713 | switch (thumbTags['Compression']) { 714 | case 6: 715 | // console.log('Thumbnail image format is JPEG'); 716 | if (thumbTags.JpegIFOffset && thumbTags.JpegIFByteCount) { 717 | // extract the thumbnail 718 | var tOffset = tiffStart + thumbTags.JpegIFOffset; 719 | var tLength = thumbTags.JpegIFByteCount; 720 | thumbTags['blob'] = new Blob([new Uint8Array(dataView.buffer, tOffset, tLength)], { 721 | type: 'image/jpeg' 722 | }); 723 | } 724 | break; 725 | 726 | case 1: 727 | console.log("Thumbnail image format is TIFF, which is not implemented."); 728 | break; 729 | default: 730 | console.log("Unknown thumbnail image format '%s'", thumbTags['Compression']); 731 | } 732 | } 733 | else if (thumbTags['PhotometricInterpretation'] == 2) { 734 | console.log("Thumbnail image format is RGB, which is not implemented."); 735 | } 736 | return thumbTags; 737 | } 738 | 739 | function getStringFromDB(buffer, start, length) { 740 | var outstr = ""; 741 | for (var n = start; n < start+length; n++) { 742 | outstr += String.fromCharCode(buffer.getUint8(n)); 743 | } 744 | return outstr; 745 | } 746 | 747 | function readEXIFData(file, start) { 748 | if (getStringFromDB(file, start, 4) != "Exif") { 749 | if (debug) console.log("Not valid EXIF data! " + getStringFromDB(file, start, 4)); 750 | return false; 751 | } 752 | 753 | var bigEnd, 754 | tags, tag, 755 | exifData, gpsData, 756 | tiffOffset = start + 6; 757 | 758 | // test for TIFF validity and endianness 759 | if (file.getUint16(tiffOffset) == 0x4949) { 760 | bigEnd = false; 761 | } else if (file.getUint16(tiffOffset) == 0x4D4D) { 762 | bigEnd = true; 763 | } else { 764 | if (debug) console.log("Not valid TIFF data! (no 0x4949 or 0x4D4D)"); 765 | return false; 766 | } 767 | 768 | if (file.getUint16(tiffOffset+2, !bigEnd) != 0x002A) { 769 | if (debug) console.log("Not valid TIFF data! (no 0x002A)"); 770 | return false; 771 | } 772 | 773 | var firstIFDOffset = file.getUint32(tiffOffset+4, !bigEnd); 774 | 775 | if (firstIFDOffset < 0x00000008) { 776 | if (debug) console.log("Not valid TIFF data! (First offset less than 8)", file.getUint32(tiffOffset+4, !bigEnd)); 777 | return false; 778 | } 779 | 780 | tags = readTags(file, tiffOffset, tiffOffset + firstIFDOffset, TiffTags, bigEnd); 781 | 782 | if (tags.ExifIFDPointer) { 783 | exifData = readTags(file, tiffOffset, tiffOffset + tags.ExifIFDPointer, ExifTags, bigEnd); 784 | for (tag in exifData) { 785 | switch (tag) { 786 | case "LightSource" : 787 | case "Flash" : 788 | case "MeteringMode" : 789 | case "ExposureProgram" : 790 | case "SensingMethod" : 791 | case "SceneCaptureType" : 792 | case "SceneType" : 793 | case "CustomRendered" : 794 | case "WhiteBalance" : 795 | case "GainControl" : 796 | case "Contrast" : 797 | case "Saturation" : 798 | case "Sharpness" : 799 | case "SubjectDistanceRange" : 800 | case "FileSource" : 801 | exifData[tag] = StringValues[tag][exifData[tag]]; 802 | break; 803 | 804 | case "ExifVersion" : 805 | case "FlashpixVersion" : 806 | exifData[tag] = String.fromCharCode(exifData[tag][0], exifData[tag][1], exifData[tag][2], exifData[tag][3]); 807 | break; 808 | 809 | case "ComponentsConfiguration" : 810 | exifData[tag] = 811 | StringValues.Components[exifData[tag][0]] + 812 | StringValues.Components[exifData[tag][1]] + 813 | StringValues.Components[exifData[tag][2]] + 814 | StringValues.Components[exifData[tag][3]]; 815 | break; 816 | } 817 | tags[tag] = exifData[tag]; 818 | } 819 | } 820 | 821 | if (tags.GPSInfoIFDPointer) { 822 | gpsData = readTags(file, tiffOffset, tiffOffset + tags.GPSInfoIFDPointer, GPSTags, bigEnd); 823 | for (tag in gpsData) { 824 | switch (tag) { 825 | case "GPSVersionID" : 826 | gpsData[tag] = gpsData[tag][0] + 827 | "." + gpsData[tag][1] + 828 | "." + gpsData[tag][2] + 829 | "." + gpsData[tag][3]; 830 | break; 831 | } 832 | tags[tag] = gpsData[tag]; 833 | } 834 | } 835 | 836 | // extract thumbnail 837 | tags['thumbnail'] = readThumbnailImage(file, tiffOffset, firstIFDOffset, bigEnd); 838 | 839 | return tags; 840 | } 841 | 842 | function findXMPinJPEG(file) { 843 | 844 | if (!('DOMParser' in self)) { 845 | // console.warn('XML parsing not supported without DOMParser'); 846 | return; 847 | } 848 | var dataView = new DataView(file); 849 | 850 | if (debug) console.log("Got file of length " + file.byteLength); 851 | if ((dataView.getUint8(0) != 0xFF) || (dataView.getUint8(1) != 0xD8)) { 852 | if (debug) console.log("Not a valid JPEG"); 853 | return false; // not a valid jpeg 854 | } 855 | 856 | var offset = 2, 857 | length = file.byteLength, 858 | dom = new DOMParser(); 859 | 860 | while (offset < (length-4)) { 861 | if (getStringFromDB(dataView, offset, 4) == "http") { 862 | var startOffset = offset - 1; 863 | var sectionLength = dataView.getUint16(offset - 2) - 1; 864 | var xmpString = getStringFromDB(dataView, startOffset, sectionLength) 865 | var xmpEndIndex = xmpString.indexOf('xmpmeta>') + 8; 866 | xmpString = xmpString.substring( xmpString.indexOf( ' 0) { 898 | json['@attributes'] = {}; 899 | for (var j = 0; j < 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