通过Java技术手段，某程序员发现自己被绿了！-技术圈

相关阅读：

黑马头条项目 - Java Springboot2.0（视频、资料、代码和讲义）14天完整版

Spring核心编程思想

作者：肥仔哥哥1930
来源：https://blog.csdn.net/zwrlj527/article/details/119823407

依赖导入

从博文上看是exifread模块，找我大java的对应的jar，发现metadata-extractor，而且官方还在持续更新，最近的jar是今年的。

这个元数据提取jar非常强大，还支持视频信息的提取，看看官方介绍：

看到没，第一个示例，就写的支持我大JAVA，让我犹如鸡血冲顶，在支持同事联调事件工单的同时，大肝这块。搜索公众号互联网架构师后台回复“2T”，获取一份惊喜礼包。

    com.drewnoakes    metadata-extractor    2.16.0

准备工作

1、室外空旷地点打开GPS

2、百度地图、北斗伴验证已连接到GPS定位

3、设置手机带的照相机开启位置信息

4、拍照一张顺便查看照片详情

这里一定要确定拍的照片的详情时有经纬度信息的，如果没有，你针对你的手机在CSDN里搜索下怎么设置。这里顺便提下，CSDN的浏览器插件真香。简直就是我们技术人事的福音，再以不用担心某某度的广告之类导致找东西费劲了，而且它很包容，还时可以选择自己喜欢的搜索引擎的。搜索公众号互联网架构师后台回复“2T”，获取一份惊喜礼包。

示例demo

这里先演示这个元数据提取jar能提取到的信息，顺便把取到的经纬度通过百度转地址。搜索公众号互联网架构师后台回复“2T”，获取一份惊喜礼包。

因为是demo，没有业务，我这里就直接在测试类里干了。没有什么业务，不涉及什么机密，可以上全码。

package com.easylinkin.bm.extractor;

import com.alibaba.fastjson.JSONObject;import com.drew.imaging.ImageMetadataReader;import com.drew.imaging.ImageProcessingException;import com.drew.metadata.Directory;import com.drew.metadata.Metadata;import com.drew.metadata.Tag;import com.easylinkin.bm.util.HttpUtils;import lombok.extern.slf4j.Slf4j;

import java.io.File;import java.io.IOException;

/** * @author zhengwen **/@Slf4jpublic class ImgTestCode {    public static void main(String[] args) throws Exception {

        File file = new File("C:\\Users\\zhengwen\\Desktop\\test\\IMG_20210820_093958.jpg");        readImageInfo(file);    }

    /**     * 提取照片里面的信息     *     * @param file 照片文件     * @throws ImageProcessingException     * @throws Exception     */    private static void readImageInfo(File file) throws ImageProcessingException, Exception {        Metadata metadata = ImageMetadataReader.readMetadata(file);

        System.out.println("---打印全部详情---");        for (Directory directory : metadata.getDirectories()) {            for (Tag tag : directory.getTags()) {                System.out.format("[%s] - %s = %s\n",                        directory.getName(), tag.getTagName(), tag.getDescription());            }            if (directory.hasErrors()) {                for (String error : directory.getErrors()) {                    System.err.format("ERROR: %s", error);                }            }        }

        System.out.println("--打印常用信息---");
        Double lat = null;        Double lng = null;        for (Directory directory : metadata.getDirectories()) {            for (Tag tag : directory.getTags()) {                String tagName = tag.getTagName();  //标签名                String desc = tag.getDescription(); //标签信息                if (tagName.equals("Image Height")) {                    System.err.println("图片高度: " + desc);                } else if (tagName.equals("Image Width")) {                    System.err.println("图片宽度: " + desc);                } else if (tagName.equals("Date/Time Original")) {                    System.err.println("拍摄时间: " + desc);                } else if (tagName.equals("GPS Latitude")) {                    System.err.println("纬度 : " + desc);                    System.err.println("纬度(度分秒格式) : " + pointToLatlong(desc));                    lat = latLng2Decimal(desc);                } else if (tagName.equals("GPS Longitude")) {                    System.err.println("经度: " + desc);                    System.err.println("经度(度分秒格式): " + pointToLatlong(desc));                    lng = latLng2Decimal(desc);                }            }        }        System.err.println("--经纬度转地址--");        //经纬度转地主使用百度api        convertGpsToLoaction(lat, lng);



    }

    /**     * 经纬度格式  转换为  度分秒格式 ,如果需要的话可以调用该方法进行转换     *     * @param point 坐标点     * @return     */    public static String pointToLatlong(String point) {        Double du = Double.parseDouble(point.substring(0, point.indexOf("°")).trim());        Double fen = Double.parseDouble(point.substring(point.indexOf("°") + 1, point.indexOf("'")).trim());        Double miao = Double.parseDouble(point.substring(point.indexOf("'") + 1, point.indexOf("\"")).trim());        Double duStr = du + fen / 60 + miao / 60 / 60;        return duStr.toString();    }

    /***     * 经纬度坐标格式转换（* °转十进制格式）     * @param gps     */    public static double latLng2Decimal(String gps) {        String a = gps.split("°")[0].replace(" ", "");        String b = gps.split("°")[1].split("'")[0].replace(" ", "");        String c = gps.split("°")[1].split("'")[1].replace(" ", "").replace("\"", "");        double gps_dou = Double.parseDouble(a) + Double.parseDouble(b) / 60 + Double.parseDouble(c) / 60 / 60;        return gps_dou;    }

    /**     * api_key：注册的百度api的key     * coords：经纬度坐标     * http://api.map.baidu.com/reverse_geocoding/v3/?ak="+api_key+"&output=json&coordtype=wgs84ll&location="+coords     *      * 经纬度转地址信息     *     * @param gps_latitude  维度     * @param gps_longitude 精度     */    private static void convertGpsToLoaction(double gps_latitude, double gps_longitude) throws IOException {        String apiKey = "YNxcSCAphFvuPD4LwcgWXwC3SEZZc7Ra";

        String res = "";        String url = "http://api.map.baidu.com/reverse_geocoding/v3/?ak=" + apiKey + "&output=json&coordtype=wgs84ll&location=" + (gps_latitude + "," + gps_longitude);        System.err.println("【url】" + url);

        res = HttpUtils.httpGet(url);        JSONObject object = JSONObject.parseObject(res);        if (object.containsKey("result")) {            JSONObject result = object.getJSONObject("result");            if (result.containsKey("addressComponent")) {                JSONObject address = object.getJSONObject("result").getJSONObject("addressComponent");                System.err.println("拍摄地点：" + address.get("country") + " " + address.get("province") + " " + address.get("city") + " " + address.get("district") + " "                        + address.get("street") + " " + result.get("formatted_address") + " " + result.get("business"));            }        }    }

}

控制台打印：

下面贴出详细内容：

com.easylinkin.bm.extractor.ImgTestCode---打印全部详情---[JPEG] - Compression Type = Baseline[JPEG] - Data Precision = 8 bits[JPEG] - Image Height = 4032 pixels[JPEG] - Image Width = 3024 pixels[JPEG] - Number of Components = 3[JPEG] - Component 1 = Y component: Quantization table 0, Sampling factors 2 horiz/2 vert[JPEG] - Component 2 = Cb component: Quantization table 1, Sampling factors 1 horiz/1 vert[JPEG] - Component 3 = Cr component: Quantization table 1, Sampling factors 1 horiz/1 vert[Exif IFD0] - Date/Time = 2021:08:20 09:39:58[Exif IFD0] - Model = YOTA Y3[Exif IFD0] - YCbCr Positioning = Center of pixel array[Exif IFD0] - Resolution Unit = Inch[Exif IFD0] - Y Resolution = 72 dots per inch[Exif IFD0] - X Resolution = 72 dots per inch[Exif IFD0] - Make = YOTA[GPS] - GPS Date Stamp = 2021:08:20[GPS] - GPS Altitude Ref = Below sea level[GPS] - GPS Longitude Ref = E[GPS] - GPS Longitude = 114° 24' 9.61"[GPS] - GPS Processing Method = ASCII[GPS] - GPS Latitude Ref = N[GPS] - GPS Time-Stamp = 01:39:46.000 UTC[GPS] - GPS Altitude = 21 metres[GPS] - GPS Latitude = 30° 28' 40.67"[Exif SubIFD] - Color Space = sRGB[Exif SubIFD] - F-Number = f/1.9[Exif SubIFD] - Date/Time Digitized = 2021:08:20 09:39:58[Exif SubIFD] - Focal Length = 3.9 mm[Exif SubIFD] - Aperture Value = f/1.9[Exif SubIFD] - Exposure Mode = Auto exposure[Exif SubIFD] - Sub-Sec Time Digitized = 819350[Exif SubIFD] - Exif Image Height = 4032 pixels[Exif SubIFD] - Focal Length 35 = 23 mm[Exif SubIFD] - Scene Capture Type = Standard[Exif SubIFD] - Sub-Sec Time Original = 819350[Exif SubIFD] - Exposure Program = Unknown (0)[Exif SubIFD] - White Balance Mode = Auto white balance[Exif SubIFD] - Exif Image Width = 3024 pixels[Exif SubIFD] - Sub-Sec Time = 819350[Exif SubIFD] - Shutter Speed Value = 1/1022 sec[Exif SubIFD] - Metering Mode = Center weighted average[Exif SubIFD] - Date/Time Original = 2021:08:20 09:39:58[Exif SubIFD] - Components Configuration = YCbCr[Exif SubIFD] - Exif Version = 2.20[Exif SubIFD] - Flash = Flash did not fire[Exif SubIFD] - Brightness Value = 0.0[Exif SubIFD] - ISO Speed Ratings = 103[Exif SubIFD] - Sensing Method = One-chip color area sensor[Exif SubIFD] - FlashPix Version = 1.00[Exif SubIFD] - Exposure Time = 1/1023 sec[Interoperability] - Interoperability Index = Recommended Exif Interoperability Rules (ExifR98)[Interoperability] - Interoperability Version = 1.00[Exif Thumbnail] - Y Resolution = 72 dots per inch[Exif Thumbnail] - Thumbnail Length = 21538 bytes[Exif Thumbnail] - Thumbnail Offset = 959 bytes[Exif Thumbnail] - Compression = JPEG (old-style)[Exif Thumbnail] - Resolution Unit = Inch[Exif Thumbnail] - X Resolution = 72 dots per inch[Huffman] - Number of Tables = 4 Huffman tables[File Type] - Detected File Type Name = JPEG[File Type] - Detected File Type Long Name = Joint Photographic Experts Group[File Type] - Detected MIME Type = image/jpeg[File Type] - Expected File Name Extension = jpg[File] - File Name = IMG_20210820_093958.jpg[File] - File Size = 5215044 bytes[File] - File Modified Date = 星期五 八月 20 09:39:59 +08:00 2021--打印常用信息---初始化HttpClientTest~~~开始图片高度: 4032 pixels图片宽度: 3024 pixels经度: 114° 24' 9.61"经度(度分秒格式): 114.40266944444446纬度 : 30° 28' 40.67"纬度(度分秒格式) : 30.477963888888887拍摄时间: 2021:08:20 09:39:58--经纬度转地址--【url】http://api.map.baidu.com/reverse_geocoding/v3/?ak=YNxcSCAphFvuPD4LwcgWXwC3SEZZc7Ra&output=json&coordtype=wgs84ll&location=30.477963888888887,114.40266944444446初始化HttpClientTest~~~结束拍摄地点：中国 湖北省 武汉市 洪山区 软件园路 湖北省武汉市洪山区软件园路9 关山,光谷天地