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  • base64转图片

    2021-04-07 18:25:58
    base64转图片 from django.test import TestCase import base64 import time import os def base64_to_image(base64Img): # base64转image image_data = base64.b64decode(base64Img) image_url = "2.jpg" ...
    base64转图片
    from django.test import TestCase
    import base64
    import time
    import os
     
     
    def base64_to_image(base64Img):
        # base64转image
        image_data = base64.b64decode(base64Img)
        image_url = "2.jpg"
        with open(image_url, 'wb') as f:
            f.write(image_data)  # 打开路径将结果写入到文件中
        return image_url
     
     
    def image_to_base64(file_path):
        # image转base64
        with open(file_path, "rb") as f:  # 转为二进制格式
            base64_data = base64.b64encode(f.read())  # 使用base64进行加密
            file = open('1.txt', 'wt')  # 写成文本格式
            file.write(str(base64_data, encoding="utf-8"))
            file.close()
     
     
    if __name__ == '__main__':
        with open("1.txt", "rb") as f:
            base64_to_image(f.read())


     

    展开全文
  • Base64转换图片

    2020-03-11 18:47:23
    * base64转图片 * * @param base64str base64码 * @param savePath 图片路径 * @return */ public static boolean GenerateImage(String base64str, String savePath) { //对字节数组字符串进行Base64解码并生成图片...

    /**
    * base64转图片
    *
    * @param base64str base64码
    * @param savePath 图片路径
    * @return
    */
    public static boolean GenerateImage(String base64str, String savePath) {
    //对字节数组字符串进行Base64解码并生成图片
    if (base64str == null) {
    return false;
    }
    //开始解码
    BASE64Decoder decoder = new BASE64Decoder();
    try {
    //Base64解码
    byte[] b = decoder.decodeBuffer(base64str);
    //解码完成
    for (int i = 0; i < b.length; ++i) {
    //调整异常数据
    if (b[i] < 0) {
    b[i] += 256;
    }
    }
    //开始生成jpeg图片
    OutputStream out = new FileOutputStream(savePath);
    out.write(b);
    out.flush();
    out.close();
    return true;
    } catch (Exception e) {
    return false;
    }
    }

    /**
    * 图片转BS64
    *
    * @param imgFile
    * @return 将图片文件转化为字节数组字符串,并对其进行Base64编码处理
    */
    public static String GetImageStr(String imgFile) {
    InputStream in = null;
    byte[] data = null;
    //读取图片字节数组
    try {
    in = new FileInputStream(imgFile);
    data = new byte[in.available()];
    in.read(data);
    in.close();
    } catch (IOException e) {
    e.printStackTrace();
    }
    //对字节数组Base64编码
    BASE64Encoder encoder = new BASE64Encoder();
    //返回Base64编码过的字节数组字符串
    return encoder.encode(data);
    }

    展开全文
  • Base64转图片

    2018-03-27 18:03:16
    Base64转jpg、bmp图片 、、 demo 、、 可用 详细备注
  • 1、BASE64转图片 2、图片转BASE64
  • Base64 转图片

    千次阅读 2019-02-28 12:57:23
    Base64编码与图片 /** * * 版权所有:2016 项目名称:ImgeBase64 * * 类描述:将图片转化为Base64字符串 类名称:cn.sanishan.util.Base64Img * * @version V1.0 */ public class Base64Img { // 将图片...

    Base64编码与图片互转


    /**
     * 
     * 版权所有:2016 项目名称:ImgeBase64
     *
     * 类描述:将图片转化为Base64字符串 类名称:cn.sanishan.util.Base64Img
     * 
     * @version V1.0
     */

    public class Base64Img {
        // 将图片文件转化为字节数组字符串,并对其进行Base64编码处理
        public static String getImageStr(String imgFilePath) {
            byte[] data = null;

            // 读取图片字节数组
            try {
                InputStream in = new FileInputStream(imgFilePath);
                data = new byte[in.available()];
                in.read(data);
                in.close();
            } catch (IOException e) {
                e.printStackTrace();
            }

            // 对字节数组Base64编码
            BASE64Encoder encoder = new BASE64Encoder();
            return encoder.encode(data);
        }

        public static boolean generateImage(String imgStr, String imgFilePath) {// 对字节数组字符串进行Base64解码并生成图片
            // 图像数据为空
            if (imgStr == null) {
                return false;
            }
            BASE64Decoder decoder = new BASE64Decoder();
            try {
                // Base64解码
                byte[] bytes = decoder.decodeBuffer(imgStr);
                for (int i = 0; i < bytes.length; ++i) {
                    if (bytes[i] < 0) {
                        bytes[i] += 256;
                    }
                }
                // 生成jpeg图片
                OutputStream out = new FileOutputStream(imgFilePath);
                out.write(bytes);
                out.flush();
                out.close();
                return true;
            } catch (Exception e) {
            }
            return false;
        }

        /**
         * 将网络图片编码为base64
         *
         * @param url
         * @return
         * @throws BusinessException
         */
        public static String encodeImageToBase64(URL url) throws Exception {
            // 将图片文件转化为字节数组字符串,并对其进行Base64编码处理
            // 打开链接
            HttpURLConnection conn = null;
            try {
                conn = (HttpURLConnection) url.openConnection();
                // 设置请求方式为"GET"
                conn.setRequestMethod("GET");
                // 超时响应时间为5秒
                conn.setConnectTimeout(5 * 1000);
                // 通过输入流获取图片数据
                InputStream inStream = conn.getInputStream();
                // 得到图片的二进制数据,以二进制封装得到数据,具有通用性
                ByteArrayOutputStream outStream = new ByteArrayOutputStream();
                // 创建一个Buffer字符串
                byte[] buffer = new byte[1024];
                // 每次读取的字符串长度,如果为-1,代表全部读取完毕
                int len = 0;
                // 使用一个输入流从buffer里把数据读取出来
                while ((len = inStream.read(buffer)) != -1) {
                    // 用输出流往buffer里写入数据,中间参数代表从哪个位置开始读,len代表读取的长度
                    outStream.write(buffer, 0, len);
                }
                // 关闭输入流
                inStream.close();
                byte[] data = outStream.toByteArray();
                // 对字节数组Base64编码
                BASE64Encoder encoder = new BASE64Encoder();
                String base64 = encoder.encode(data);
                return base64;// 返回Base64编码过的字节数组字符串
            } catch (IOException e) {
                e.printStackTrace();
                throw new FaceException("20221", "图片链接不存在!");
            }
        }

        // 将 base64 转化为 file
        public static boolean base64ToFile(String base64, String path) {
            byte[] buffer;
            try {
                buffer = new BASE64Decoder().decodeBuffer(base64);
                FileOutputStream out = new FileOutputStream(path);
                out.write(buffer);
                out.close();
                return true;
            } catch (Exception e) {
                throw ErrorCode.BASE64_TOFILE_ERROR;
            }
        }

        public static void main(String[] args) throws Exception {
            String base64Code = "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";
            base64ToFile(base64Code, "G:\\a.jpg");
        }

     

    如此便成功了。

    展开全文
  • base64 加解码 base64转hex Base64转图片 图片转Base64工具 可选Unicode UTF8等编码格式。前一个不 支持换行,此版本已支持。 (使用前,麻烦安装DotNet4.0以上版本)
  • BASE64转图片

    千次阅读 2019-02-14 19:56:05
    在输入框中输入如下,再点击还原生成的BASE64编码为图片按钮。 附:在BASE64编码前面要加入括号里的内容(data:image/jpeg;base64,) data:image/jpeg;base64,/9j/4AAQSkZJRgABAgAAAQABAAD/2...

    网址:http://imgbase64.duoshitong.com/

    在输入框中输入如下,再点击还原生成的BASE64编码为图片按钮。

    附:在BASE64编码前面要加入括号里的内容(data:image/jpeg;base64,)

    data:image/jpeg;base64,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

    展开全文
  • base64 加解码 URL编码、 base64转hex Base64转图片 图片转Base64工具,比网上其它的方便好用,支持大于1M内容
  • php base64转换图片的方法:首先创建一个PHP示例文件;...”方法将base64字符串转换为图片即可。推荐:《PHP视频教程》该方法适用于所有品牌电脑。PHP 图片base64相互转换PHP 将图片转换为 base64 字符串格式:...
  • 1.base64转图片并保存在路径目录下 public static String base64ToImg(String img, String operateId){ BASE64Decoder decoder = new BASE64Decoder(); //Base64解码 byte[] b = new byte[0]; ...
  • c# 图片转Base64 Base64转图片

    千次阅读 2018-09-28 21:11:28
    先将图片转Base64 图片,再将 return 回来的 base64Str 直接赋值给 Base64ToImage(string base64) 函数(图片转出来的 base64 太长 我就不贴了,记得将图片路劲换成自己图片的路径哦,GoodNight!) ...
  • c# base64转图片

    2021-02-26 16:32:35
    c# base64转图片 /// <summary> /// base64转换成图片 /// </summary> /// <param name="base64"></param> /// <returns></returns> public static Bitmap Base64ToImage...
  • 将base64解析图片保存到本地的两个方法/*** base64转图片* @param base64str base64码* @param savePath 图片路径* @return*/public static boolean GenerateImage(String base64str, String savePath) {//对字节...
  • 图片转base64 String file="D://picpath//video//test.png" InputStream in = null; byte[] data = null; // 读取图片字节数组 try { in = new FileInputStream(file); data = new byte[in.available()];
  • spring boot前后端vue,base64转图片互相转换 vue就不展示了,下边只展示Java中互相转换的例子。 Java实现图片转化成base64字符串 //图片转化成base64字符串 public static String imgGetBase64() {//将图片...
  • 这两天写一个base64转图片的功能,却发现转出的图片怎么出是损坏点,搞不清怎么回事,后面才发现原因。在此记录一下。最开始的代码是调用的之前写好的代码,如下,转换后的图片都打不开。/*** Base64图片 转 图片* @...
  • 不用BASE64Decoder的方法,找了半天的方法...图片转Base64 //图片转Base64 public static String getImageStr(String imageUrl) throws Exception { InputStream inputStream = null; byte[] data = null; log.info
  • 该楼层疑似违规已被系统折叠隐藏此楼查看此楼public void addImg(String imgStr, String imgFilePath) {int d = imgStr.indexOf("base64,");if(d != -1) {imgStr = imgStr.substring(d+7);}// File file = new File...
  • PHP base64 转图片存储

    2019-02-21 15:59:12
    PHP base64 转图片存储 /** [将Base64图片转换为本地图片并保存] @param [Base64] $base64_image_content [要保存的Base64] @param [目录] path[要保存的路径]∗/functionbase64imagecontent(path [要保存的...
  • import org.apache.commons.lang3....import org.apache.tomcat.util.codec.binary.Base64;import java.io.*;public class Base64Util {private static final LoggerUtil logger = LogFactory.getLogger(Ba...
  • node--base64转图片

    千次阅读 2019-09-24 08:37:00
    node--base64转图片
  • //图片转成base编码 $file="images/2.gif"; $type=getimagesize($file);//取得图片的大小,类型等 $file_content = base_encode(file_get_contents($file)); $img='data:image/'.$...base64,'.$file_content;//合
  • public File checkFacePic(String fileBase64String) { fileBase64String= GetImageStr("C:\\Users\\dell\\Desktop\\tupiasn\\timg.jpg"); String filePath=picSrc; String fileName="123456.jpeg"; ...

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