From 84599f1fdac0d9723c7f02a2e66b0e909ad911d7 Mon Sep 17 00:00:00 2001
From: KKSU <15274802129@163.com>
Date: Thu, 30 May 2024 09:44:11 +0800
Subject: [PATCH] 图片上传
---
src/main/java/cc/mrbird/febs/mall/test/FingerPrint.java | 634 ++++++++++----------
src/main/java/cc/mrbird/febs/mall/test/PixelateImage.java | 190 +++---
src/main/java/cc/mrbird/febs/mall/test/ImageToChar.java | 292 ++++----
src/main/java/cc/mrbird/febs/mall/test/getGray.java | 102 +-
pom.xml | 10
src/main/java/cc/mrbird/febs/mall/test/DYDelMark.java | 324 +++++-----
src/main/java/cc/mrbird/febs/mall/test/imageTest.java | 194 +++---
7 files changed, 873 insertions(+), 873 deletions(-)
diff --git a/pom.xml b/pom.xml
index 8f21dc9..1002b06 100644
--- a/pom.xml
+++ b/pom.xml
@@ -29,11 +29,11 @@
<dependencies>
- <dependency>
- <groupId>com.madgag</groupId>
- <artifactId>animated-gif-lib</artifactId>
- <version>1.4</version>
- </dependency>
+<!-- <dependency>-->
+<!-- <groupId>com.madgag</groupId>-->
+<!-- <artifactId>animated-gif-lib</artifactId>-->
+<!-- <version>1.4</version>-->
+<!-- </dependency>-->
<dependency>
<groupId>org.web3j</groupId>
diff --git a/src/main/java/cc/mrbird/febs/mall/test/DYDelMark.java b/src/main/java/cc/mrbird/febs/mall/test/DYDelMark.java
index 945de93..3328eeb 100644
--- a/src/main/java/cc/mrbird/febs/mall/test/DYDelMark.java
+++ b/src/main/java/cc/mrbird/febs/mall/test/DYDelMark.java
@@ -1,162 +1,162 @@
-package cc.mrbird.febs.mall.test;
-
-import com.alibaba.fastjson.JSONArray;
-import com.alibaba.fastjson.JSONObject;
-import okhttp3.OkHttpClient;
-import okhttp3.Request;
-import okhttp3.Response;
-
-import java.io.IOException;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-public class DYDelMark {
- public static void main(String[] args) {
- String content = "https://v.douyin.com/iLwxgYHE/";
- JSONObject douYData = extractDouYinData(content);
- if (douYData != null) {
- System.out.println(douYData);
- } else {
- System.out.println(1);
- }
- }
- private static JSONObject extractDouYinData(String content) {
- String url = extractUrl(content);
-
- if (url != null) {
- if (content.contains("douyin.com")) {
- if (content.contains("live.douyin.com")) {
- System.out.println("直播");
- return null;
- } else {
- String dyUrlOrId = processContent(content);
- String videoId = isNumeric(dyUrlOrId) ? dyUrlOrId : extractVideoId(dyUrlOrId);
- if (videoId!=null){
- JSONArray dyData = serverGetDy(videoId);
-
- if (dyData != null && dyData.size() > 0) {
- JSONObject jsonData = dyData.getJSONObject(0);
- return buildDouYinData(jsonData);
- }
- }
- }
- }
- }
- return null;
- }
- private static JSONObject buildDouYinData(JSONObject jsonData) {
- JSONObject douYData = new JSONObject();
- douYData.put("desc", jsonData.getString("desc"));
-
- JSONObject author = jsonData.getJSONObject("author");
- douYData.put("nickname", author.getString("nickname"));
-
- JSONObject videoJson = jsonData.getJSONObject("video");
- JSONObject coverJson = videoJson.getJSONObject("cover");
- String coverUrl = coverJson.getJSONArray("url_list").getString(0);
- douYData.put("coverUrl", coverUrl);
-
- if (jsonData.getJSONArray("images") != null) {
- JSONArray images = jsonData.getJSONArray("images");
- JSONArray imageArray = new JSONArray();
-
- for (int i = 0; i < images.size(); i++) {
- JSONObject image = images.getJSONObject(i);
- JSONArray urlList = image.getJSONArray("url_list");
- imageArray.add(urlList.get(0));
- }
-
- douYData.put("type", 2);
- douYData.put("data", imageArray);
- } else {
- JSONObject playAddr = videoJson.getJSONObject("play_addr");
- String uri = playAddr.getString("uri");
- String videoUrl = "https://www.iesdouyin.com/aweme/v1/play/?video_id=" + uri + "&ratio=1080p&line=0";
- douYData.put("type", 1);
- douYData.put("data", videoUrl);
- }
-
- return douYData;
- }
- public static String processContent(String content) {
- String douyinUrl = extractMatch(content, "v\\.douyin\\.com/[a-zA-Z0-9]+");
- if (douyinUrl != null) {
- return "https://" + douyinUrl;
- }
- String digit = extractMatch(content, "\\d{19}");
- return digit;
- }
- private static String extractMatch(String content, String regex) {
- Pattern pattern = Pattern.compile(regex);
- Matcher matcher = pattern.matcher(content);
- return matcher.find() ? matcher.group(0) : null;
- }
- public static boolean isNumeric(String str) {
- return str.matches("\\d+");
- }
- private static String extractUrl(String text) {
- // 匹配网址的正则表达式
- String regex = "https?://\\S+";
- Pattern pattern = Pattern.compile(regex);
- Matcher matcher = pattern.matcher(text);
-
- // 查找匹配的链接
- if (matcher.find()) {
- return matcher.group();
- }
-
- return null;
- }
- public static String extractVideoId(String link) {
- String redirectLink = getRedirectUrl(link);
- Pattern patternVideo = Pattern.compile("/video/(\\d+)");
- Pattern patternNote = Pattern.compile("/note/(\\d+)");
-
- Matcher matcherVideo = patternVideo.matcher(redirectLink);
- Matcher matcherNote = patternNote.matcher(redirectLink);
-
- if (matcherVideo.find()) {
- return matcherVideo.group(1);
- } else if (matcherNote.find()) {
- return matcherNote.group(1);
- } else {
- return null;
- }
- }
- public static String getRedirectUrl(String url) {
- OkHttpClient client = new OkHttpClient();
- try {
- Request request = new Request.Builder()
- .url(url)
- .get()
- .build();
- Response response = client.newCall(request).execute();
- return response.request().url().toString();
-
- } catch (IOException e) {
- e.printStackTrace();
- }
-
- return null;
- }
- private static JSONArray serverGetDy(String itemIds){
- OkHttpClient client = new OkHttpClient().newBuilder().build();
- Request Request = new Request.Builder()
- //不知道这个a_bogus是啥 可能是个算法 随便填写或空即可
- .url("https://www.iesdouyin.com/web/api/v2/aweme/iteminfo/?reflow_source=reflow_page&item_ids="+itemIds+"&a_bogus=sdfds")
- .addHeader("content-type", "application/x-www-form-urlencoded")
- .get()
- .build();
- try {
- Response response = client.newCall(Request).execute();
- JSONObject jsonObject= JSONObject.parseObject(response.body().string());
- if (jsonObject.getInteger("status_code").equals(0)){
- return jsonObject.getJSONArray("item_list");
- }
- return null;
- } catch (IOException e) {
- e.printStackTrace();
- return null;
- }
- }
-}
+//package cc.mrbird.febs.mall.test;
+//
+//import com.alibaba.fastjson.JSONArray;
+//import com.alibaba.fastjson.JSONObject;
+//import okhttp3.OkHttpClient;
+//import okhttp3.Request;
+//import okhttp3.Response;
+//
+//import java.io.IOException;
+//import java.util.regex.Matcher;
+//import java.util.regex.Pattern;
+//
+//public class DYDelMark {
+// public static void main(String[] args) {
+// String content = "https://v.douyin.com/iLwxgYHE/";
+// JSONObject douYData = extractDouYinData(content);
+// if (douYData != null) {
+// System.out.println(douYData);
+// } else {
+// System.out.println(1);
+// }
+// }
+// private static JSONObject extractDouYinData(String content) {
+// String url = extractUrl(content);
+//
+// if (url != null) {
+// if (content.contains("douyin.com")) {
+// if (content.contains("live.douyin.com")) {
+// System.out.println("直播");
+// return null;
+// } else {
+// String dyUrlOrId = processContent(content);
+// String videoId = isNumeric(dyUrlOrId) ? dyUrlOrId : extractVideoId(dyUrlOrId);
+// if (videoId!=null){
+// JSONArray dyData = serverGetDy(videoId);
+//
+// if (dyData != null && dyData.size() > 0) {
+// JSONObject jsonData = dyData.getJSONObject(0);
+// return buildDouYinData(jsonData);
+// }
+// }
+// }
+// }
+// }
+// return null;
+// }
+// private static JSONObject buildDouYinData(JSONObject jsonData) {
+// JSONObject douYData = new JSONObject();
+// douYData.put("desc", jsonData.getString("desc"));
+//
+// JSONObject author = jsonData.getJSONObject("author");
+// douYData.put("nickname", author.getString("nickname"));
+//
+// JSONObject videoJson = jsonData.getJSONObject("video");
+// JSONObject coverJson = videoJson.getJSONObject("cover");
+// String coverUrl = coverJson.getJSONArray("url_list").getString(0);
+// douYData.put("coverUrl", coverUrl);
+//
+// if (jsonData.getJSONArray("images") != null) {
+// JSONArray images = jsonData.getJSONArray("images");
+// JSONArray imageArray = new JSONArray();
+//
+// for (int i = 0; i < images.size(); i++) {
+// JSONObject image = images.getJSONObject(i);
+// JSONArray urlList = image.getJSONArray("url_list");
+// imageArray.add(urlList.get(0));
+// }
+//
+// douYData.put("type", 2);
+// douYData.put("data", imageArray);
+// } else {
+// JSONObject playAddr = videoJson.getJSONObject("play_addr");
+// String uri = playAddr.getString("uri");
+// String videoUrl = "https://www.iesdouyin.com/aweme/v1/play/?video_id=" + uri + "&ratio=1080p&line=0";
+// douYData.put("type", 1);
+// douYData.put("data", videoUrl);
+// }
+//
+// return douYData;
+// }
+// public static String processContent(String content) {
+// String douyinUrl = extractMatch(content, "v\\.douyin\\.com/[a-zA-Z0-9]+");
+// if (douyinUrl != null) {
+// return "https://" + douyinUrl;
+// }
+// String digit = extractMatch(content, "\\d{19}");
+// return digit;
+// }
+// private static String extractMatch(String content, String regex) {
+// Pattern pattern = Pattern.compile(regex);
+// Matcher matcher = pattern.matcher(content);
+// return matcher.find() ? matcher.group(0) : null;
+// }
+// public static boolean isNumeric(String str) {
+// return str.matches("\\d+");
+// }
+// private static String extractUrl(String text) {
+// // 匹配网址的正则表达式
+// String regex = "https?://\\S+";
+// Pattern pattern = Pattern.compile(regex);
+// Matcher matcher = pattern.matcher(text);
+//
+// // 查找匹配的链接
+// if (matcher.find()) {
+// return matcher.group();
+// }
+//
+// return null;
+// }
+// public static String extractVideoId(String link) {
+// String redirectLink = getRedirectUrl(link);
+// Pattern patternVideo = Pattern.compile("/video/(\\d+)");
+// Pattern patternNote = Pattern.compile("/note/(\\d+)");
+//
+// Matcher matcherVideo = patternVideo.matcher(redirectLink);
+// Matcher matcherNote = patternNote.matcher(redirectLink);
+//
+// if (matcherVideo.find()) {
+// return matcherVideo.group(1);
+// } else if (matcherNote.find()) {
+// return matcherNote.group(1);
+// } else {
+// return null;
+// }
+// }
+// public static String getRedirectUrl(String url) {
+// OkHttpClient client = new OkHttpClient();
+// try {
+// Request request = new Request.Builder()
+// .url(url)
+// .get()
+// .build();
+// Response response = client.newCall(request).execute();
+// return response.request().url().toString();
+//
+// } catch (IOException e) {
+// e.printStackTrace();
+// }
+//
+// return null;
+// }
+// private static JSONArray serverGetDy(String itemIds){
+// OkHttpClient client = new OkHttpClient().newBuilder().build();
+// Request Request = new Request.Builder()
+// //不知道这个a_bogus是啥 可能是个算法 随便填写或空即可
+// .url("https://www.iesdouyin.com/web/api/v2/aweme/iteminfo/?reflow_source=reflow_page&item_ids="+itemIds+"&a_bogus=sdfds")
+// .addHeader("content-type", "application/x-www-form-urlencoded")
+// .get()
+// .build();
+// try {
+// Response response = client.newCall(Request).execute();
+// JSONObject jsonObject= JSONObject.parseObject(response.body().string());
+// if (jsonObject.getInteger("status_code").equals(0)){
+// return jsonObject.getJSONArray("item_list");
+// }
+// return null;
+// } catch (IOException e) {
+// e.printStackTrace();
+// return null;
+// }
+// }
+//}
diff --git a/src/main/java/cc/mrbird/febs/mall/test/FingerPrint.java b/src/main/java/cc/mrbird/febs/mall/test/FingerPrint.java
index 788a348..a73b2f8 100644
--- a/src/main/java/cc/mrbird/febs/mall/test/FingerPrint.java
+++ b/src/main/java/cc/mrbird/febs/mall/test/FingerPrint.java
@@ -1,317 +1,317 @@
-package cc.mrbird.febs.mall.test;
-
-import javax.imageio.ImageIO;
-import java.awt.*;
-import java.awt.color.ColorSpace;
-import java.awt.image.BufferedImage;
-import java.awt.image.ColorConvertOp;
-import java.io.File;
-import java.io.IOException;
-import java.util.Arrays;
-
-/**
- * 图片是采用phash算法,一共分为四步吧.
- *
- * 1.将图片缩放到16*16大小,这是我们选择的合适的大小,假如宽高不一样,直接将其压到16*16,去掉细节,只保留宏观;
- *
- * 2.图片一共是16*16的,共256个像素,我们将图片进行灰度化,灰度化就是只有黑白灰三种,从白到黑,一共分了255层;
- *
- * 3.灰度化之后将图片进行DCT转换(离散余弦变化),因为为了识别有的图片旋转,这个DCT转换是将图片进行了一种压缩算法;
- *
- * 4.我们对这个算法进行了优化,因为之前是计算像素的均值,我们为了更准确,我们取RGB,rgb一共分为255个像素,我们将255个像素分为16段,如果像素大于0-16记为0,17到32记为1,直到255,这样就得到255位的二进制,这就是这张图片的指纹码.
- *
- * 得到唯一标识的指纹码之后怎么去计算像素度呢?
- *
- * 通过汉明距离比较两个二进制距离,如果距离小于<10的话,我们就判定两张图片相似.如果两个指纹码(二进制)一模一样,我们就判定两个是一张图片,或者类似;
- */
-/**
- * 视频相似度算法:
- * 视频的话我们是通过ffmpeg(ff am pig),它是一个专门处理视频的框架,可以从视频中按针提取图片.然后就按照图片的相似度取对比了...
- */
-
-/**
- * https://blog.csdn.net/weixin_34095889/article/details/91923072?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522171652008316800182787012%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fall.%2522%257D&request_id=171652008316800182787012&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~first_rank_ecpm_v1~rank_v31_ecpm-4-91923072-null-null.142^v100^pc_search_result_base8&utm_term=java%20%E6%8A%8A%E5%9B%BE%E7%89%87%E8%BD%AC%E6%8D%A2%E6%88%90%E9%BB%91%E7%99%BD%E7%81%B0%E5%83%8F%E7%B4%A0%E9%A3%8E%E6%A0%BC&spm=1018.2226.3001.4187
- * 均值哈希实现图像指纹比较
- */
-public class FingerPrint {
-
- public static void main(String[] args) {
- FingerPrint fp1 = null;
- FingerPrint fp2 = null;
- try {
- fp1 = new FingerPrint(ImageIO.read(new File("D:\\image\\F1.png")));
- fp2 = new FingerPrint(ImageIO.read(new File("D:\\image\\Z1.jpg")));
- } catch (IOException e) {
- e.printStackTrace();
- }
- System.out.println(fp1.toString(false));
- System.out.println(fp2.toString(false));
- System.out.printf("sim=%f",fp1.compare(fp2));
- }
-
- /**
- * 图像指纹的尺寸,将图像resize到指定的尺寸，来计算哈希数组
- */
- private static final int HASH_SIZE=16;
- /**
- * 保存图像指纹的二值化矩阵
- */
- private final byte[] binaryzationMatrix;
- public FingerPrint(byte[] hashValue) {
- if(hashValue.length!=HASH_SIZE*HASH_SIZE)
- throw new IllegalArgumentException(String.format("length of hashValue must be %d",HASH_SIZE*HASH_SIZE ));
- this.binaryzationMatrix=hashValue;
- }
- public FingerPrint(String hashValue) {
- this(toBytes(hashValue));
- }
- public FingerPrint (BufferedImage src){
- this(hashValue(src));
- }
- private static byte[] hashValue(BufferedImage src){
- BufferedImage hashImage = resize(src,HASH_SIZE,HASH_SIZE);
- byte[] matrixGray = (byte[]) toGray(hashImage).getData().getDataElements(0, 0, HASH_SIZE, HASH_SIZE, null);
- return binaryzation(matrixGray);
- }
- /**
- * 从压缩格式指纹创建{@link FingerPrint}对象
- * @param compactValue
- * @return
- */
- public static FingerPrint createFromCompact(byte[] compactValue){
- return new FingerPrint(uncompact(compactValue));
- }
-
- public static boolean validHashValue(byte[] hashValue){
- if(hashValue.length!=HASH_SIZE)
- return false;
- for(byte b:hashValue){
- if(0!=b&&1!=b)return false;
- }
- return true;
- }
- public static boolean validHashValue(String hashValue){
- if(hashValue.length()!=HASH_SIZE)
- return false;
- for(int i=0;i<hashValue.length();++i){
- if('0'!=hashValue.charAt(i)&&'1'!=hashValue.charAt(i))return false;
- }
- return true;
- }
- public byte[] compact(){
- return compact(binaryzationMatrix);
- }
-
- /**
- * 指纹数据按位压缩
- * @param hashValue
- * @return
- */
- private static byte[] compact(byte[] hashValue){
- byte[] result=new byte[(hashValue.length+7)>>3];
- byte b=0;
- for(int i=0;i<hashValue.length;++i){
- if(0==(i&7)){
- b=0;
- }
- if(1==hashValue[i]){
- b|=1<<(i&7);
- }else if(hashValue[i]!=0)
- throw new IllegalArgumentException("invalid hashValue,every element must be 0 or 1");
- if(7==(i&7)||i==hashValue.length-1){
- result[i>>3]=b;
- }
- }
- return result;
- }
-
- /**
- * 压缩格式的指纹解压缩
- * @param compactValue
- * @return
- */
- private static byte[] uncompact(byte[] compactValue){
- byte[] result=new byte[compactValue.length<<3];
- for(int i=0;i<result.length;++i){
- if((compactValue[i>>3]&(1<<(i&7)))==0)
- result[i]=0;
- else
- result[i]=1;
- }
- return result;
- }
- /**
- * 字符串类型的指纹数据转为字节数组
- * @param hashValue
- * @return
- */
- private static byte[] toBytes(String hashValue){
- hashValue=hashValue.replaceAll("\\s", "");
- byte[] result=new byte[hashValue.length()];
- for(int i=0;i<result.length;++i){
- char c = hashValue.charAt(i);
- if('0'==c)
- result[i]=0;
- else if('1'==c)
- result[i]=1;
- else
- throw new IllegalArgumentException("invalid hashValue String");
- }
- return result;
- }
- /**
- * 缩放图像到指定尺寸
- * @param src
- * @param width
- * @param height
- * @return
- */
- private static BufferedImage resize(Image src,int width,int height){
- BufferedImage result = new BufferedImage(width, height,
- BufferedImage.TYPE_3BYTE_BGR);
- Graphics g = result.getGraphics();
- try{
- g.drawImage(src.getScaledInstance(width, height, Image.SCALE_SMOOTH), 0, 0, null);
- }finally{
- g.dispose();
- }
- return result;
- }
- /**
- * 计算均值
- * @param src
- * @return
- */
- private static int mean(byte[] src){
- long sum=0;
- // 将数组元素转为无符号整数
- for(byte b:src)sum+=(long)b&0xff;
- return (int) (Math.round((float)sum/src.length));
- }
- /**
- * 二值化处理
- * @param src
- * @return
- */
- private static byte[] binaryzation(byte[]src){
- byte[] dst = src.clone();
- int mean=mean(src);
- for(int i=0;i<dst.length;++i){
- // 将数组元素转为无符号整数再比较
- dst[i]=(byte) (((int)dst[i]&0xff)>=mean?1:0);
- }
- return dst;
-
- }
- /**
- * 转灰度图像
- * @param src
- * @return
- */
- private static BufferedImage toGray(BufferedImage src){
- if(src.getType()==BufferedImage.TYPE_BYTE_GRAY){
- return src;
- }else{
- // 图像转灰
- BufferedImage grayImage = new BufferedImage(src.getWidth(), src.getHeight(),
- BufferedImage.TYPE_BYTE_GRAY);
- new ColorConvertOp(ColorSpace.getInstance(ColorSpace.CS_GRAY), null).filter(src, grayImage);
- return grayImage;
- }
- }
-
- @Override
- public String toString() {
- return toString(true);
- }
- /**
- * @param multiLine 是否分行
- * @return
- */
- public String toString(boolean multiLine) {
- StringBuffer buffer=new StringBuffer();
- int count=0;
- for(byte b:this.binaryzationMatrix){
- buffer.append(0==b?'0':'1');
- if(multiLine&&++count%HASH_SIZE==0)
- buffer.append('\n');
- }
- return buffer.toString();
- }
- @Override
- public boolean equals(Object obj) {
- if(obj instanceof FingerPrint){
- return Arrays.equals(this.binaryzationMatrix,((FingerPrint)obj).binaryzationMatrix);
- }else
- return super.equals(obj);
- }
-
- /**
- * 与指定的压缩格式指纹比较相似度
- * @param compactValue
- * @return
- * @see #compare(FingerPrint)
- */
- public float compareCompact(byte[] compactValue){
- return compare(createFromCompact(compactValue));
- }
- /**
- * @param hashValue
- * @return
- * @see #compare(FingerPrint)
- */
- public float compare(String hashValue){
- return compare(new FingerPrint(hashValue));
- }
- /**
- * 与指定的指纹比较相似度
- * @param hashValue
- * @return
- * @see #compare(FingerPrint)
- */
- public float compare(byte[] hashValue){
- return compare(new FingerPrint(hashValue));
- }
- /**
- * 与指定图像比较相似度
- * @param image2
- * @return
- * @see #compare(FingerPrint)
- */
- public float compare(BufferedImage image2){
- return compare(new FingerPrint(image2));
- }
- /**
- * 比较指纹相似度
- * @param src
- * @return
- * @see #compare(byte[], byte[])
- */
- public float compare(FingerPrint src){
- if(src.binaryzationMatrix.length!=this.binaryzationMatrix.length)
- throw new IllegalArgumentException("length of hashValue is mismatch");
- return compare(binaryzationMatrix,src.binaryzationMatrix);
- }
- /**
- * 判断两个数组相似度，数组长度必须一致否则抛出异常
- * @param f1
- * @param f2
- * @return 返回相似度(0.0~1.0)
- */
- private static float compare(byte[] f1,byte[] f2){
- if(f1.length!=f2.length)
- throw new IllegalArgumentException("mismatch FingerPrint length");
- int sameCount=0;
- for(int i=0;i<f1.length;++i){
- if(f1[i]==f2[i])++sameCount;
- }
- return (float)sameCount/f1.length;
- }
- public static float compareCompact(byte[] f1,byte[] f2){
- return compare(uncompact(f1),uncompact(f2));
- }
- public static float compare(BufferedImage image1,BufferedImage image2){
- return new FingerPrint(image1).compare(new FingerPrint(image2));
- }
-
-}
+//package cc.mrbird.febs.mall.test;
+//
+//import javax.imageio.ImageIO;
+//import java.awt.*;
+//import java.awt.color.ColorSpace;
+//import java.awt.image.BufferedImage;
+//import java.awt.image.ColorConvertOp;
+//import java.io.File;
+//import java.io.IOException;
+//import java.util.Arrays;
+//
+///**
+// * 图片是采用phash算法,一共分为四步吧.
+// *
+// * 1.将图片缩放到16*16大小,这是我们选择的合适的大小,假如宽高不一样,直接将其压到16*16,去掉细节,只保留宏观;
+// *
+// * 2.图片一共是16*16的,共256个像素,我们将图片进行灰度化,灰度化就是只有黑白灰三种,从白到黑,一共分了255层;
+// *
+// * 3.灰度化之后将图片进行DCT转换(离散余弦变化),因为为了识别有的图片旋转,这个DCT转换是将图片进行了一种压缩算法;
+// *
+// * 4.我们对这个算法进行了优化,因为之前是计算像素的均值,我们为了更准确,我们取RGB,rgb一共分为255个像素,我们将255个像素分为16段,如果像素大于0-16记为0,17到32记为1,直到255,这样就得到255位的二进制,这就是这张图片的指纹码.
+// *
+// * 得到唯一标识的指纹码之后怎么去计算像素度呢?
+// *
+// * 通过汉明距离比较两个二进制距离,如果距离小于<10的话,我们就判定两张图片相似.如果两个指纹码(二进制)一模一样,我们就判定两个是一张图片,或者类似;
+// */
+///**
+// * 视频相似度算法:
+// * 视频的话我们是通过ffmpeg(ff am pig),它是一个专门处理视频的框架,可以从视频中按针提取图片.然后就按照图片的相似度取对比了...
+// */
+//
+///**
+// * https://blog.csdn.net/weixin_34095889/article/details/91923072?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522171652008316800182787012%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fall.%2522%257D&request_id=171652008316800182787012&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~first_rank_ecpm_v1~rank_v31_ecpm-4-91923072-null-null.142^v100^pc_search_result_base8&utm_term=java%20%E6%8A%8A%E5%9B%BE%E7%89%87%E8%BD%AC%E6%8D%A2%E6%88%90%E9%BB%91%E7%99%BD%E7%81%B0%E5%83%8F%E7%B4%A0%E9%A3%8E%E6%A0%BC&spm=1018.2226.3001.4187
+// * 均值哈希实现图像指纹比较
+// */
+//public class FingerPrint {
+//
+// public static void main(String[] args) {
+// FingerPrint fp1 = null;
+// FingerPrint fp2 = null;
+// try {
+// fp1 = new FingerPrint(ImageIO.read(new File("D:\\image\\F1.png")));
+// fp2 = new FingerPrint(ImageIO.read(new File("D:\\image\\Z1.jpg")));
+// } catch (IOException e) {
+// e.printStackTrace();
+// }
+// System.out.println(fp1.toString(false));
+// System.out.println(fp2.toString(false));
+// System.out.printf("sim=%f",fp1.compare(fp2));
+// }
+//
+// /**
+// * 图像指纹的尺寸,将图像resize到指定的尺寸，来计算哈希数组
+// */
+// private static final int HASH_SIZE=16;
+// /**
+// * 保存图像指纹的二值化矩阵
+// */
+// private final byte[] binaryzationMatrix;
+// public FingerPrint(byte[] hashValue) {
+// if(hashValue.length!=HASH_SIZE*HASH_SIZE)
+// throw new IllegalArgumentException(String.format("length of hashValue must be %d",HASH_SIZE*HASH_SIZE ));
+// this.binaryzationMatrix=hashValue;
+// }
+// public FingerPrint(String hashValue) {
+// this(toBytes(hashValue));
+// }
+// public FingerPrint (BufferedImage src){
+// this(hashValue(src));
+// }
+// private static byte[] hashValue(BufferedImage src){
+// BufferedImage hashImage = resize(src,HASH_SIZE,HASH_SIZE);
+// byte[] matrixGray = (byte[]) toGray(hashImage).getData().getDataElements(0, 0, HASH_SIZE, HASH_SIZE, null);
+// return binaryzation(matrixGray);
+// }
+// /**
+// * 从压缩格式指纹创建{@link FingerPrint}对象
+// * @param compactValue
+// * @return
+// */
+// public static FingerPrint createFromCompact(byte[] compactValue){
+// return new FingerPrint(uncompact(compactValue));
+// }
+//
+// public static boolean validHashValue(byte[] hashValue){
+// if(hashValue.length!=HASH_SIZE)
+// return false;
+// for(byte b:hashValue){
+// if(0!=b&&1!=b)return false;
+// }
+// return true;
+// }
+// public static boolean validHashValue(String hashValue){
+// if(hashValue.length()!=HASH_SIZE)
+// return false;
+// for(int i=0;i<hashValue.length();++i){
+// if('0'!=hashValue.charAt(i)&&'1'!=hashValue.charAt(i))return false;
+// }
+// return true;
+// }
+// public byte[] compact(){
+// return compact(binaryzationMatrix);
+// }
+//
+// /**
+// * 指纹数据按位压缩
+// * @param hashValue
+// * @return
+// */
+// private static byte[] compact(byte[] hashValue){
+// byte[] result=new byte[(hashValue.length+7)>>3];
+// byte b=0;
+// for(int i=0;i<hashValue.length;++i){
+// if(0==(i&7)){
+// b=0;
+// }
+// if(1==hashValue[i]){
+// b|=1<<(i&7);
+// }else if(hashValue[i]!=0)
+// throw new IllegalArgumentException("invalid hashValue,every element must be 0 or 1");
+// if(7==(i&7)||i==hashValue.length-1){
+// result[i>>3]=b;
+// }
+// }
+// return result;
+// }
+//
+// /**
+// * 压缩格式的指纹解压缩
+// * @param compactValue
+// * @return
+// */
+// private static byte[] uncompact(byte[] compactValue){
+// byte[] result=new byte[compactValue.length<<3];
+// for(int i=0;i<result.length;++i){
+// if((compactValue[i>>3]&(1<<(i&7)))==0)
+// result[i]=0;
+// else
+// result[i]=1;
+// }
+// return result;
+// }
+// /**
+// * 字符串类型的指纹数据转为字节数组
+// * @param hashValue
+// * @return
+// */
+// private static byte[] toBytes(String hashValue){
+// hashValue=hashValue.replaceAll("\\s", "");
+// byte[] result=new byte[hashValue.length()];
+// for(int i=0;i<result.length;++i){
+// char c = hashValue.charAt(i);
+// if('0'==c)
+// result[i]=0;
+// else if('1'==c)
+// result[i]=1;
+// else
+// throw new IllegalArgumentException("invalid hashValue String");
+// }
+// return result;
+// }
+// /**
+// * 缩放图像到指定尺寸
+// * @param src
+// * @param width
+// * @param height
+// * @return
+// */
+// private static BufferedImage resize(Image src,int width,int height){
+// BufferedImage result = new BufferedImage(width, height,
+// BufferedImage.TYPE_3BYTE_BGR);
+// Graphics g = result.getGraphics();
+// try{
+// g.drawImage(src.getScaledInstance(width, height, Image.SCALE_SMOOTH), 0, 0, null);
+// }finally{
+// g.dispose();
+// }
+// return result;
+// }
+// /**
+// * 计算均值
+// * @param src
+// * @return
+// */
+// private static int mean(byte[] src){
+// long sum=0;
+// // 将数组元素转为无符号整数
+// for(byte b:src)sum+=(long)b&0xff;
+// return (int) (Math.round((float)sum/src.length));
+// }
+// /**
+// * 二值化处理
+// * @param src
+// * @return
+// */
+// private static byte[] binaryzation(byte[]src){
+// byte[] dst = src.clone();
+// int mean=mean(src);
+// for(int i=0;i<dst.length;++i){
+// // 将数组元素转为无符号整数再比较
+// dst[i]=(byte) (((int)dst[i]&0xff)>=mean?1:0);
+// }
+// return dst;
+//
+// }
+// /**
+// * 转灰度图像
+// * @param src
+// * @return
+// */
+// private static BufferedImage toGray(BufferedImage src){
+// if(src.getType()==BufferedImage.TYPE_BYTE_GRAY){
+// return src;
+// }else{
+// // 图像转灰
+// BufferedImage grayImage = new BufferedImage(src.getWidth(), src.getHeight(),
+// BufferedImage.TYPE_BYTE_GRAY);
+// new ColorConvertOp(ColorSpace.getInstance(ColorSpace.CS_GRAY), null).filter(src, grayImage);
+// return grayImage;
+// }
+// }
+//
+// @Override
+// public String toString() {
+// return toString(true);
+// }
+// /**
+// * @param multiLine 是否分行
+// * @return
+// */
+// public String toString(boolean multiLine) {
+// StringBuffer buffer=new StringBuffer();
+// int count=0;
+// for(byte b:this.binaryzationMatrix){
+// buffer.append(0==b?'0':'1');
+// if(multiLine&&++count%HASH_SIZE==0)
+// buffer.append('\n');
+// }
+// return buffer.toString();
+// }
+// @Override
+// public boolean equals(Object obj) {
+// if(obj instanceof FingerPrint){
+// return Arrays.equals(this.binaryzationMatrix,((FingerPrint)obj).binaryzationMatrix);
+// }else
+// return super.equals(obj);
+// }
+//
+// /**
+// * 与指定的压缩格式指纹比较相似度
+// * @param compactValue
+// * @return
+// * @see #compare(FingerPrint)
+// */
+// public float compareCompact(byte[] compactValue){
+// return compare(createFromCompact(compactValue));
+// }
+// /**
+// * @param hashValue
+// * @return
+// * @see #compare(FingerPrint)
+// */
+// public float compare(String hashValue){
+// return compare(new FingerPrint(hashValue));
+// }
+// /**
+// * 与指定的指纹比较相似度
+// * @param hashValue
+// * @return
+// * @see #compare(FingerPrint)
+// */
+// public float compare(byte[] hashValue){
+// return compare(new FingerPrint(hashValue));
+// }
+// /**
+// * 与指定图像比较相似度
+// * @param image2
+// * @return
+// * @see #compare(FingerPrint)
+// */
+// public float compare(BufferedImage image2){
+// return compare(new FingerPrint(image2));
+// }
+// /**
+// * 比较指纹相似度
+// * @param src
+// * @return
+// * @see #compare(byte[], byte[])
+// */
+// public float compare(FingerPrint src){
+// if(src.binaryzationMatrix.length!=this.binaryzationMatrix.length)
+// throw new IllegalArgumentException("length of hashValue is mismatch");
+// return compare(binaryzationMatrix,src.binaryzationMatrix);
+// }
+// /**
+// * 判断两个数组相似度，数组长度必须一致否则抛出异常
+// * @param f1
+// * @param f2
+// * @return 返回相似度(0.0~1.0)
+// */
+// private static float compare(byte[] f1,byte[] f2){
+// if(f1.length!=f2.length)
+// throw new IllegalArgumentException("mismatch FingerPrint length");
+// int sameCount=0;
+// for(int i=0;i<f1.length;++i){
+// if(f1[i]==f2[i])++sameCount;
+// }
+// return (float)sameCount/f1.length;
+// }
+// public static float compareCompact(byte[] f1,byte[] f2){
+// return compare(uncompact(f1),uncompact(f2));
+// }
+// public static float compare(BufferedImage image1,BufferedImage image2){
+// return new FingerPrint(image1).compare(new FingerPrint(image2));
+// }
+//
+//}
diff --git a/src/main/java/cc/mrbird/febs/mall/test/ImageToChar.java b/src/main/java/cc/mrbird/febs/mall/test/ImageToChar.java
index ea4d0a2..76354a9 100644
--- a/src/main/java/cc/mrbird/febs/mall/test/ImageToChar.java
+++ b/src/main/java/cc/mrbird/febs/mall/test/ImageToChar.java
@@ -1,156 +1,156 @@
-package cc.mrbird.febs.mall.test;
-
-import cn.hutool.core.util.ObjectUtil;
-import com.madgag.gif.fmsware.AnimatedGifEncoder;
-
-import javax.imageio.ImageIO;
-import java.awt.image.BufferedImage;
-import java.io.BufferedWriter;
-import java.io.File;
-import java.io.FileWriter;
-import java.io.IOException;
-
-/**
- * 基于Java的图片字符画(含动图)
- * https://blog.csdn.net/weixin_53070478/article/details/127183821?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_utm_term~default-4-127183821-blog-125549681.235^v43^pc_blog_bottom_relevance_base9&spm=1001.2101.3001.4242.3&utm_relevant_index=7
- */
-public class ImageToChar {
-
- static char[] ss = " `.^,:~\"<!ct+{i7?u30pw4A8DX%#HWM".toCharArray();
-
- /**
- * 将输入的图片转换成灰度图片
- * @param bi
- * @return
- */
- public static BufferedWriter ImageToChar(BufferedImage bi,String target){ //定义灰度方法 返回值为BufferedImage对象
- int width = bi.getWidth();
- int height =bi.getHeight();
- BufferedWriter bw = null; //构建新的对象模型
- try {
- bw = new BufferedWriter(new FileWriter(target),360);
-
- // 遍历图片的RGB值，把得到的灰度值存到bufferedImage_end中，然后返回bufferedImage_end
- int autoAdd = 2;//自增
- for (int j = 0; j < height; j += autoAdd) {
- for (int i = 0; i < width; i += autoAdd) {
- int pixel = bi.getRGB(i, j);
- int[] rgb = new int[3];
- rgb[0] = pixel >> 16 & 0xff;
- rgb[1] = pixel >> 8 & 0xff;
- rgb[2] = pixel & 0xff;
- int Gray = (rgb[0] * 28 + rgb[1] * 151 + rgb[2] * 77) >> 8; //通过三原色值计算像素点的灰度
- int x = Gray * ss.length / 255 % ss.length; //灰度值的百分比 计算出相应密度的字符表
- bw.write(ss[x]); //输出该字符
- bw.write(ss[x]);
- }
- bw.newLine();
- }
- bw.flush();
- } catch (IOException e) {
- e.printStackTrace();
- }
- return bw;
- }
-
- /**
- * GIF转图片
- * https://blog.csdn.net/adminstate/article/details/128917090?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522171653969716800197097670%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=171653969716800197097670&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduend~default-1-128917090-null-null.142^v100^pc_search_result_base8&utm_term=java%20%E5%9B%BE%E7%89%87%E8%BD%ACGif&spm=1018.2226.3001.4187
- * @param args
- */
-// public static void main(String[] args) {
-// Integer scaleSize = 360;
-// GifDecoder gd = new GifDecoder();
-// try{
-// gd.read(Files.newInputStream(new File("D:\\image\\imageGif.gif").toPath()));
-// for (int i = 0; i < gd.getFrameCount(); i++) { //逐帧转换为图片。
-// BufferedImage frame = gd.getFrame(i);
-// float width = frame.getWidth(); // 像素
-// float height = frame.getHeight(); // 像素
-// float scale = width/scaleSize;
-// BufferedImage buffImg = new BufferedImage(scaleSize, (int)(height/scale), BufferedImage.TYPE_INT_RGB);
-// //使用TYPE_INT_RGB修改的图片会变色
-// buffImg.getGraphics().drawImage(
-// frame.getScaledInstance(scaleSize, (int)(height/scale), Image.SCALE_SMOOTH), 0,
-// 0, null);
+//package cc.mrbird.febs.mall.test;
//
-// ImageIO.write(buffImg, "jpg", new File("D:\\image\\gif\\"+i+".png"));
+//import cn.hutool.core.util.ObjectUtil;
+//import com.madgag.gif.fmsware.AnimatedGifEncoder;
+//
+//import javax.imageio.ImageIO;
+//import java.awt.image.BufferedImage;
+//import java.io.BufferedWriter;
+//import java.io.File;
+//import java.io.FileWriter;
+//import java.io.IOException;
+//
+///**
+// * 基于Java的图片字符画(含动图)
+// * https://blog.csdn.net/weixin_53070478/article/details/127183821?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_utm_term~default-4-127183821-blog-125549681.235^v43^pc_blog_bottom_relevance_base9&spm=1001.2101.3001.4242.3&utm_relevant_index=7
+// */
+//public class ImageToChar {
+//
+// static char[] ss = " `.^,:~\"<!ct+{i7?u30pw4A8DX%#HWM".toCharArray();
+//
+// /**
+// * 将输入的图片转换成灰度图片
+// * @param bi
+// * @return
+// */
+// public static BufferedWriter ImageToChar(BufferedImage bi,String target){ //定义灰度方法 返回值为BufferedImage对象
+// int width = bi.getWidth();
+// int height =bi.getHeight();
+// BufferedWriter bw = null; //构建新的对象模型
+// try {
+// bw = new BufferedWriter(new FileWriter(target),360);
+//
+// // 遍历图片的RGB值，把得到的灰度值存到bufferedImage_end中，然后返回bufferedImage_end
+// int autoAdd = 2;//自增
+// for (int j = 0; j < height; j += autoAdd) {
+// for (int i = 0; i < width; i += autoAdd) {
+// int pixel = bi.getRGB(i, j);
+// int[] rgb = new int[3];
+// rgb[0] = pixel >> 16 & 0xff;
+// rgb[1] = pixel >> 8 & 0xff;
+// rgb[2] = pixel & 0xff;
+// int Gray = (rgb[0] * 28 + rgb[1] * 151 + rgb[2] * 77) >> 8; //通过三原色值计算像素点的灰度
+// int x = Gray * ss.length / 255 % ss.length; //灰度值的百分比 计算出相应密度的字符表
+// bw.write(ss[x]); //输出该字符
+// bw.write(ss[x]);
+// }
+// bw.newLine();
// }
-// }catch(IOException e){
-// System.out.println(e);
+// bw.flush();
+// } catch (IOException e) {
+// e.printStackTrace();
// }
+// return bw;
// }
-
-
- /**
- * 图片转GIF
- * https://blog.csdn.net/adminstate/article/details/128917090?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522171653969716800197097670%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=171653969716800197097670&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduend~default-1-128917090-null-null.142^v100^pc_search_result_base8&utm_term=java%20%E5%9B%BE%E7%89%87%E8%BD%ACGif&spm=1018.2226.3001.4187
- * @param args
- */
- public static void main(String[] args) {
- // 存放jpg文件目录
- String inpath = "D:\\image\\gif\\";
-
- //生成GIF
- AnimatedGifEncoder animatedGifEncoder = new AnimatedGifEncoder();
- animatedGifEncoder.setRepeat(0);
- animatedGifEncoder.start("D:\\image\\gif\\screenshot.gif");
-
- try{
- //获取目录下所有jpg及其他非gif图片文件
- String[] pic = new File(inpath).list();
- BufferedImage[] src = new BufferedImage[pic.length];
-
- for (int i = 0; i <= src.length; i++) {
- String pngPath = inpath + i + ".png";
- if(new File(pngPath).exists()){
- animatedGifEncoder.setDelay(100); //设置播放间隔
- src[i] = ImageIO.read(new File(pngPath)); // 读入需要播放的jpg文件
- animatedGifEncoder.addFrame(src[i]); //添加到帧中
- }
- }
- animatedGifEncoder.finish();
- }catch(IOException e){
- System.err.println("合成gif图失败");
- }
- }
-
- /**
- * 将GIF图片转换成字符串
- * @param args
- */
-// public static void main(String[] args) {
-// GifDecoder gd = new GifDecoder();
-// try{
//
-// gd.read(Files.newInputStream(new File("D:\\image\\gif\\screenshot.gif").toPath()));
-// System.out.println(gd.getFrameCount());
-// for (int i = 0; i < gd.getFrameCount(); i++) { //逐帧转换为字符集。
-// System.out.println(gd.getFrameCount());
-// BufferedImage frame = gd.getFrame(i);
-// ImageToChar(frame,"D:\\image\\ImageToChar.txt"); //参数提供缓冲图片对象，以及目标文本输出地址。
-// try {
-// Thread.sleep(500);
-// } catch (InterruptedException e) {
-// e.printStackTrace();
+// /**
+// * GIF转图片
+// * https://blog.csdn.net/adminstate/article/details/128917090?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522171653969716800197097670%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=171653969716800197097670&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduend~default-1-128917090-null-null.142^v100^pc_search_result_base8&utm_term=java%20%E5%9B%BE%E7%89%87%E8%BD%ACGif&spm=1018.2226.3001.4187
+// * @param args
+// */
+//// public static void main(String[] args) {
+//// Integer scaleSize = 360;
+//// GifDecoder gd = new GifDecoder();
+//// try{
+//// gd.read(Files.newInputStream(new File("D:\\image\\imageGif.gif").toPath()));
+//// for (int i = 0; i < gd.getFrameCount(); i++) { //逐帧转换为图片。
+//// BufferedImage frame = gd.getFrame(i);
+//// float width = frame.getWidth(); // 像素
+//// float height = frame.getHeight(); // 像素
+//// float scale = width/scaleSize;
+//// BufferedImage buffImg = new BufferedImage(scaleSize, (int)(height/scale), BufferedImage.TYPE_INT_RGB);
+//// //使用TYPE_INT_RGB修改的图片会变色
+//// buffImg.getGraphics().drawImage(
+//// frame.getScaledInstance(scaleSize, (int)(height/scale), Image.SCALE_SMOOTH), 0,
+//// 0, null);
+////
+//// ImageIO.write(buffImg, "jpg", new File("D:\\image\\gif\\"+i+".png"));
+//// }
+//// }catch(IOException e){
+//// System.out.println(e);
+//// }
+//// }
+//
+//
+// /**
+// * 图片转GIF
+// * https://blog.csdn.net/adminstate/article/details/128917090?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522171653969716800197097670%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=171653969716800197097670&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduend~default-1-128917090-null-null.142^v100^pc_search_result_base8&utm_term=java%20%E5%9B%BE%E7%89%87%E8%BD%ACGif&spm=1018.2226.3001.4187
+// * @param args
+// */
+// public static void main(String[] args) {
+// // 存放jpg文件目录
+// String inpath = "D:\\image\\gif\\";
+//
+// //生成GIF
+// AnimatedGifEncoder animatedGifEncoder = new AnimatedGifEncoder();
+// animatedGifEncoder.setRepeat(0);
+// animatedGifEncoder.start("D:\\image\\gif\\screenshot.gif");
+//
+// try{
+// //获取目录下所有jpg及其他非gif图片文件
+// String[] pic = new File(inpath).list();
+// BufferedImage[] src = new BufferedImage[pic.length];
+//
+// for (int i = 0; i <= src.length; i++) {
+// String pngPath = inpath + i + ".png";
+// if(new File(pngPath).exists()){
+// animatedGifEncoder.setDelay(100); //设置播放间隔
+// src[i] = ImageIO.read(new File(pngPath)); // 读入需要播放的jpg文件
+// animatedGifEncoder.addFrame(src[i]); //添加到帧中
// }
// }
+// animatedGifEncoder.finish();
// }catch(IOException e){
-// System.out.println(e);
+// System.err.println("合成gif图失败");
// }
// }
-
- /**
- * 将图片转换成字符串
- * @param args
- */
-// public static void main(String[] args) {
-// try{
-// ImageToChar(
-// ImageIO.read(new File("D:\\image\\outDpi.png")),
-// "D:\\image\\ImageToChar.txt");
-// }catch(IOException e){
-// System.out.println(e);
-// }
-// }
-}
+//
+// /**
+// * 将GIF图片转换成字符串
+// * @param args
+// */
+//// public static void main(String[] args) {
+//// GifDecoder gd = new GifDecoder();
+//// try{
+////
+//// gd.read(Files.newInputStream(new File("D:\\image\\gif\\screenshot.gif").toPath()));
+//// System.out.println(gd.getFrameCount());
+//// for (int i = 0; i < gd.getFrameCount(); i++) { //逐帧转换为字符集。
+//// System.out.println(gd.getFrameCount());
+//// BufferedImage frame = gd.getFrame(i);
+//// ImageToChar(frame,"D:\\image\\ImageToChar.txt"); //参数提供缓冲图片对象，以及目标文本输出地址。
+//// try {
+//// Thread.sleep(500);
+//// } catch (InterruptedException e) {
+//// e.printStackTrace();
+//// }
+//// }
+//// }catch(IOException e){
+//// System.out.println(e);
+//// }
+//// }
+//
+// /**
+// * 将图片转换成字符串
+// * @param args
+// */
+//// public static void main(String[] args) {
+//// try{
+//// ImageToChar(
+//// ImageIO.read(new File("D:\\image\\outDpi.png")),
+//// "D:\\image\\ImageToChar.txt");
+//// }catch(IOException e){
+//// System.out.println(e);
+//// }
+//// }
+//}
diff --git a/src/main/java/cc/mrbird/febs/mall/test/PixelateImage.java b/src/main/java/cc/mrbird/febs/mall/test/PixelateImage.java
index a1d2709..150d765 100644
--- a/src/main/java/cc/mrbird/febs/mall/test/PixelateImage.java
+++ b/src/main/java/cc/mrbird/febs/mall/test/PixelateImage.java
@@ -1,95 +1,95 @@
-package cc.mrbird.febs.mall.test;
-
-import com.sun.image.codec.jpeg.JPEGCodec;
-import com.sun.image.codec.jpeg.JPEGEncodeParam;
-import com.sun.image.codec.jpeg.JPEGImageEncoder;
-
-import javax.imageio.ImageIO;
-import java.awt.*;
-import java.awt.image.BufferedImage;
-import java.io.File;
-import java.io.FileOutputStream;
-import java.io.IOException;
-
-public class PixelateImage {
-
- public static void main(String[] args) {
- handleDpi(new File("D:\\image\\inputDpi.png"),50,50);
- getPixel("D:\\image\\input.png");
- try {
- resizeImage("D:\\image\\input.png","D:\\image\\output.png",360);//将图片压缩至100宽
- } catch (IOException e) {
- e.printStackTrace();
- }
- }
-
- /**
- * 功能：获取图片像素
- * * @param filePath 图片路径
- */
- public static void getPixel(String filePath){
- File file = new File(filePath);
- BufferedImage bi = null;
- try {
- bi = ImageIO.read(file);
- } catch (Exception e) {
- e.printStackTrace();
- }
- int width = bi.getWidth(); // 像素
- int height = bi.getHeight(); // 像素
- System.out.println("width=" + width + ",height=" + height + ".");
- }
-
-
- /**
- * @param inputPath 源图片路径
- * @param outputPath 修改大小后图片路径
- * @param scaleSize 图片的修改比例，目标宽度
- */
- public static void resizeImage(String inputPath, String outputPath,int scaleSize) throws IOException {
-
- File srcFile = new File(inputPath);
- Image srcImg = ImageIO.read(srcFile);
- BufferedImage bi = null;
- try {
- bi = ImageIO.read(srcFile);
- } catch (Exception e) {
- e.printStackTrace();
- }
- float width = bi.getWidth(); // 像素
- float height = bi.getHeight(); // 像素
- float scale = width/scaleSize;
- BufferedImage buffImg = null;
- buffImg = new BufferedImage(scaleSize, (int)(height/scale), BufferedImage.TYPE_INT_RGB);
- //使用TYPE_INT_RGB修改的图片会变色
- buffImg.getGraphics().drawImage(
- srcImg.getScaledInstance(scaleSize, (int)(height/scale), Image.SCALE_SMOOTH), 0,
- 0, null);
-
- ImageIO.write(buffImg, "JPEG", new File(outputPath));
- }
-
- /**
- * 改变图片DPI
- *
- * @param file
- * @param xDensity
- * @param yDensity
- */
- public static void handleDpi(File file, int xDensity, int yDensity) {
- try {
- BufferedImage image = ImageIO.read(file);
- JPEGImageEncoder jpegEncoder = JPEGCodec.createJPEGEncoder(new FileOutputStream(file));
- JPEGEncodeParam jpegEncodeParam = jpegEncoder.getDefaultJPEGEncodeParam(image);
- jpegEncodeParam.setDensityUnit(JPEGEncodeParam.DENSITY_UNIT_DOTS_INCH);
- jpegEncoder.setJPEGEncodeParam(jpegEncodeParam);
- jpegEncodeParam.setQuality(0.1f, false);
- jpegEncodeParam.setXDensity(xDensity);
- jpegEncodeParam.setYDensity(yDensity);
- jpegEncoder.encode(image, jpegEncodeParam);
- image.flush();
- } catch (IOException e) {
- e.printStackTrace();
- }
- }
-}
+//package cc.mrbird.febs.mall.test;
+//
+//import com.sun.image.codec.jpeg.JPEGCodec;
+//import com.sun.image.codec.jpeg.JPEGEncodeParam;
+//import com.sun.image.codec.jpeg.JPEGImageEncoder;
+//
+//import javax.imageio.ImageIO;
+//import java.awt.*;
+//import java.awt.image.BufferedImage;
+//import java.io.File;
+//import java.io.FileOutputStream;
+//import java.io.IOException;
+//
+//public class PixelateImage {
+//
+// public static void main(String[] args) {
+// handleDpi(new File("D:\\image\\inputDpi.png"),50,50);
+// getPixel("D:\\image\\input.png");
+// try {
+// resizeImage("D:\\image\\input.png","D:\\image\\output.png",360);//将图片压缩至100宽
+// } catch (IOException e) {
+// e.printStackTrace();
+// }
+// }
+//
+// /**
+// * 功能：获取图片像素
+// * * @param filePath 图片路径
+// */
+// public static void getPixel(String filePath){
+// File file = new File(filePath);
+// BufferedImage bi = null;
+// try {
+// bi = ImageIO.read(file);
+// } catch (Exception e) {
+// e.printStackTrace();
+// }
+// int width = bi.getWidth(); // 像素
+// int height = bi.getHeight(); // 像素
+// System.out.println("width=" + width + ",height=" + height + ".");
+// }
+//
+//
+// /**
+// * @param inputPath 源图片路径
+// * @param outputPath 修改大小后图片路径
+// * @param scaleSize 图片的修改比例，目标宽度
+// */
+// public static void resizeImage(String inputPath, String outputPath,int scaleSize) throws IOException {
+//
+// File srcFile = new File(inputPath);
+// Image srcImg = ImageIO.read(srcFile);
+// BufferedImage bi = null;
+// try {
+// bi = ImageIO.read(srcFile);
+// } catch (Exception e) {
+// e.printStackTrace();
+// }
+// float width = bi.getWidth(); // 像素
+// float height = bi.getHeight(); // 像素
+// float scale = width/scaleSize;
+// BufferedImage buffImg = null;
+// buffImg = new BufferedImage(scaleSize, (int)(height/scale), BufferedImage.TYPE_INT_RGB);
+// //使用TYPE_INT_RGB修改的图片会变色
+// buffImg.getGraphics().drawImage(
+// srcImg.getScaledInstance(scaleSize, (int)(height/scale), Image.SCALE_SMOOTH), 0,
+// 0, null);
+//
+// ImageIO.write(buffImg, "JPEG", new File(outputPath));
+// }
+//
+// /**
+// * 改变图片DPI
+// *
+// * @param file
+// * @param xDensity
+// * @param yDensity
+// */
+// public static void handleDpi(File file, int xDensity, int yDensity) {
+// try {
+// BufferedImage image = ImageIO.read(file);
+// JPEGImageEncoder jpegEncoder = JPEGCodec.createJPEGEncoder(new FileOutputStream(file));
+// JPEGEncodeParam jpegEncodeParam = jpegEncoder.getDefaultJPEGEncodeParam(image);
+// jpegEncodeParam.setDensityUnit(JPEGEncodeParam.DENSITY_UNIT_DOTS_INCH);
+// jpegEncoder.setJPEGEncodeParam(jpegEncodeParam);
+// jpegEncodeParam.setQuality(0.1f, false);
+// jpegEncodeParam.setXDensity(xDensity);
+// jpegEncodeParam.setYDensity(yDensity);
+// jpegEncoder.encode(image, jpegEncodeParam);
+// image.flush();
+// } catch (IOException e) {
+// e.printStackTrace();
+// }
+// }
+//}
diff --git a/src/main/java/cc/mrbird/febs/mall/test/getGray.java b/src/main/java/cc/mrbird/febs/mall/test/getGray.java
index 6b9815b..5de6809 100644
--- a/src/main/java/cc/mrbird/febs/mall/test/getGray.java
+++ b/src/main/java/cc/mrbird/febs/mall/test/getGray.java
@@ -1,51 +1,51 @@
-package cc.mrbird.febs.mall.test;
-
-import javax.imageio.ImageIO;
-import java.awt.*;
-import java.awt.image.BufferedImage;
-import java.awt.image.RenderedImage;
-import java.io.File;
-import java.io.IOException;
-
-public class getGray {
-
- /**
- * 将输入的图片转换成灰度图片
- * @param bufferedImage_start
- * @return
- */
- public static BufferedImage gray(BufferedImage bufferedImage_start){ //定义灰度方法 返回值为BufferedImage对象
- int width = bufferedImage_start.getWidth();
- int height =bufferedImage_start.getHeight();
- BufferedImage bufferedImage_end = new BufferedImage(width,height, BufferedImage.TYPE_3BYTE_BGR ); //构建新的对象模型
- // 遍历图片的RGB值，把得到的灰度值存到bufferedImage_end中，然后返回bufferedImage_end
- for (int y = 0; y < height; y++) {
- for (int x = 0; x < width; x++) {
-
- int pixel = bufferedImage_start.getRGB(x, y);
- int[] rgb = new int[3]; //分别表示红绿蓝RGB。
- rgb[0] = pixel >> 16 & 0xff;
- rgb[1] = pixel >> 8 & 0xff;
- rgb[2] = pixel & 0xff;
- int gray = (rgb[0] * 28 + rgb[1] * 151 + rgb[2] * 77) >> 8;
-
-// Color color = new Color(bufferedImage_start.getRGB(x,y));//构建Color获取图片像素点
-// int gray = (int)(color.getRed() * 0.2126 + color.getGreen() * 0.7152 + color.getBlue() * 0.0722);
- Color color_end = new Color(gray,gray,gray); //将设置的像素设置到bufferedImage_end
- bufferedImage_end.setRGB(x,y,color_end.getRGB());
- }
- }
- return bufferedImage_end;
- }
-
- public static void main(String[] args) {
- try{
- RenderedImage rendImage =gray(ImageIO.read(new File("D:\\image\\inputDpi.png")));
- File file = new File("D:\\image\\outDpi.png");
- ImageIO.write(rendImage, "png", file);
- }catch(IOException e){
- System.out.println(e);
- }
- }
-
-}
+//package cc.mrbird.febs.mall.test;
+//
+//import javax.imageio.ImageIO;
+//import java.awt.*;
+//import java.awt.image.BufferedImage;
+//import java.awt.image.RenderedImage;
+//import java.io.File;
+//import java.io.IOException;
+//
+//public class getGray {
+//
+// /**
+// * 将输入的图片转换成灰度图片
+// * @param bufferedImage_start
+// * @return
+// */
+// public static BufferedImage gray(BufferedImage bufferedImage_start){ //定义灰度方法 返回值为BufferedImage对象
+// int width = bufferedImage_start.getWidth();
+// int height =bufferedImage_start.getHeight();
+// BufferedImage bufferedImage_end = new BufferedImage(width,height, BufferedImage.TYPE_3BYTE_BGR ); //构建新的对象模型
+// // 遍历图片的RGB值，把得到的灰度值存到bufferedImage_end中，然后返回bufferedImage_end
+// for (int y = 0; y < height; y++) {
+// for (int x = 0; x < width; x++) {
+//
+// int pixel = bufferedImage_start.getRGB(x, y);
+// int[] rgb = new int[3]; //分别表示红绿蓝RGB。
+// rgb[0] = pixel >> 16 & 0xff;
+// rgb[1] = pixel >> 8 & 0xff;
+// rgb[2] = pixel & 0xff;
+// int gray = (rgb[0] * 28 + rgb[1] * 151 + rgb[2] * 77) >> 8;
+//
+//// Color color = new Color(bufferedImage_start.getRGB(x,y));//构建Color获取图片像素点
+//// int gray = (int)(color.getRed() * 0.2126 + color.getGreen() * 0.7152 + color.getBlue() * 0.0722);
+// Color color_end = new Color(gray,gray,gray); //将设置的像素设置到bufferedImage_end
+// bufferedImage_end.setRGB(x,y,color_end.getRGB());
+// }
+// }
+// return bufferedImage_end;
+// }
+//
+// public static void main(String[] args) {
+// try{
+// RenderedImage rendImage =gray(ImageIO.read(new File("D:\\image\\inputDpi.png")));
+// File file = new File("D:\\image\\outDpi.png");
+// ImageIO.write(rendImage, "png", file);
+// }catch(IOException e){
+// System.out.println(e);
+// }
+// }
+//
+//}
diff --git a/src/main/java/cc/mrbird/febs/mall/test/imageTest.java b/src/main/java/cc/mrbird/febs/mall/test/imageTest.java
index 6458e9c..821c5ef 100644
--- a/src/main/java/cc/mrbird/febs/mall/test/imageTest.java
+++ b/src/main/java/cc/mrbird/febs/mall/test/imageTest.java
@@ -1,100 +1,100 @@
-package cc.mrbird.febs.mall.test;
-
-import com.sun.image.codec.jpeg.JPEGCodec;
-import com.sun.image.codec.jpeg.JPEGEncodeParam;
-import com.sun.image.codec.jpeg.JPEGImageEncoder;
-
-import javax.imageio.ImageIO;
-import javax.swing.*;
-import java.awt.*;
-import java.awt.image.BufferedImage;
-import java.awt.image.ConvolveOp;
-import java.awt.image.Kernel;
-import java.awt.image.RenderedImage;
-import java.io.File;
-import java.io.FileOutputStream;
-import java.io.IOException;
-
-public class imageTest {
-
- public static void main(String[] args) throws IOException {
-
-// File originalImage = new File("D:\\image\\out.png");
-// try{
-// RenderedImage rendImage =getGray.gray(ImageIO.read(new File("D:\\image\\input.png")));
-// ImageIO.write(rendImage, "png", originalImage);
-// }catch(IOException e){
-// System.out.println(e);
-// }
-
-
-
- File originalImage = new File("D:\\image\\input.png");
- System.out.println("源文件大小" + originalImage.length());
- File resizedImg1 = new File("D:\\image\\out3.png");
- resize(originalImage, resizedImg1, Integer.parseInt(Long.toString(originalImage.length())), 0.1f);
- System.out.println("0.1转换后文件大小" + resizedImg1.length());
-
- }
-// ## 遍历文件夹下图片批量压缩
-// public static void main(String[] args) throws IOException {
-// File folder = new File("C:\\Users\\Win\\Desktop\\faceImages");//文件夹路径
-// File[] listOfFiles = folder.listFiles();
-// for (int i = 0; i < listOfFiles.length; i++) {
-// if (listOfFiles[i].isFile()) {
-// File originalImage = listOfFiles[i];
-// System.out.println("源文件大小" + originalImage.length());
-// String fileName = originalImage.getName();
-// File resizedImg1 = new File("C:\\Users\\Win\\Desktop\\productImages\\" + fileName);
-// resize(originalImage, resizedImg1, 64, 0.9f);
-// System.out.println(fileName + "0.8转换后文件大小" + resizedImg1.length());
-// } else if (listOfFiles[i].isDirectory()) {
-// System.out.println("Directory " + listOfFiles[i].getName());
-// }
-// }
+//package cc.mrbird.febs.mall.test;
//
+//import com.sun.image.codec.jpeg.JPEGCodec;
+//import com.sun.image.codec.jpeg.JPEGEncodeParam;
+//import com.sun.image.codec.jpeg.JPEGImageEncoder;
+//
+//import javax.imageio.ImageIO;
+//import javax.swing.*;
+//import java.awt.*;
+//import java.awt.image.BufferedImage;
+//import java.awt.image.ConvolveOp;
+//import java.awt.image.Kernel;
+//import java.awt.image.RenderedImage;
+//import java.io.File;
+//import java.io.FileOutputStream;
+//import java.io.IOException;
+//
+//public class imageTest {
+//
+// public static void main(String[] args) throws IOException {
+//
+//// File originalImage = new File("D:\\image\\out.png");
+//// try{
+//// RenderedImage rendImage =getGray.gray(ImageIO.read(new File("D:\\image\\input.png")));
+//// ImageIO.write(rendImage, "png", originalImage);
+//// }catch(IOException e){
+//// System.out.println(e);
+//// }
+//
+//
+//
+// File originalImage = new File("D:\\image\\input.png");
+// System.out.println("源文件大小" + originalImage.length());
+// File resizedImg1 = new File("D:\\image\\out3.png");
+// resize(originalImage, resizedImg1, Integer.parseInt(Long.toString(originalImage.length())), 0.1f);
+// System.out.println("0.1转换后文件大小" + resizedImg1.length());
//
// }
-
- /**
- * 缩放图片(压缩图片质量，改变图片尺寸)
- * 若原图宽度小于新宽度，则宽度不变！
- * @param newWidth 新的宽度
- * @param quality 图片质量参数 0.7f 相当于70%质量
- */
- public static void resize(File originalFile, File resizedFile, int newWidth, float quality) throws IOException {
- if (quality > 1) {
- }
- ImageIcon ii = new ImageIcon(originalFile.getCanonicalPath());
- Image i = ii.getImage();
- Image resizedImage = null;
- int iWidth = i.getWidth(null);
- int iHeight = i.getHeight(null);
- if (iWidth < newWidth) {
- newWidth = iWidth;
- }
- if (iWidth > iHeight) {
- resizedImage = i.getScaledInstance(newWidth, (newWidth * iHeight) / iWidth, Image.SCALE_SMOOTH);
- } else {
- resizedImage = i.getScaledInstance((newWidth * iWidth) / iHeight, newWidth, Image.SCALE_SMOOTH);
- }
- Image temp = new ImageIcon(resizedImage).getImage();
- BufferedImage bufferedImage = new BufferedImage(temp.getWidth(null), temp.getHeight(null), BufferedImage.TYPE_INT_RGB);
- Graphics g = bufferedImage.createGraphics();
- g.setColor(Color.white);
- g.fillRect(0, 0, temp.getWidth(null), temp.getHeight(null));
- g.drawImage(temp, 0, 0, null);
- g.dispose();
- float softenFactor = 0.05f;
- float[] softenArray = {0, softenFactor, 0, softenFactor, 1 - (softenFactor * 4), softenFactor, 0, softenFactor, 0};
- Kernel kernel = new Kernel(3, 3, softenArray);
- ConvolveOp cOp = new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
- bufferedImage = cOp.filter(bufferedImage, null);
- FileOutputStream out = new FileOutputStream(resizedFile);
- JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(out);
- JPEGEncodeParam param = encoder.getDefaultJPEGEncodeParam(bufferedImage);
- param.setQuality(quality, true);
- encoder.setJPEGEncodeParam(param);
- encoder.encode(bufferedImage);
- }
-}
+//// ## 遍历文件夹下图片批量压缩
+//// public static void main(String[] args) throws IOException {
+//// File folder = new File("C:\\Users\\Win\\Desktop\\faceImages");//文件夹路径
+//// File[] listOfFiles = folder.listFiles();
+//// for (int i = 0; i < listOfFiles.length; i++) {
+//// if (listOfFiles[i].isFile()) {
+//// File originalImage = listOfFiles[i];
+//// System.out.println("源文件大小" + originalImage.length());
+//// String fileName = originalImage.getName();
+//// File resizedImg1 = new File("C:\\Users\\Win\\Desktop\\productImages\\" + fileName);
+//// resize(originalImage, resizedImg1, 64, 0.9f);
+//// System.out.println(fileName + "0.8转换后文件大小" + resizedImg1.length());
+//// } else if (listOfFiles[i].isDirectory()) {
+//// System.out.println("Directory " + listOfFiles[i].getName());
+//// }
+//// }
+////
+////
+//// }
+//
+// /**
+// * 缩放图片(压缩图片质量，改变图片尺寸)
+// * 若原图宽度小于新宽度，则宽度不变！
+// * @param newWidth 新的宽度
+// * @param quality 图片质量参数 0.7f 相当于70%质量
+// */
+// public static void resize(File originalFile, File resizedFile, int newWidth, float quality) throws IOException {
+// if (quality > 1) {
+// }
+// ImageIcon ii = new ImageIcon(originalFile.getCanonicalPath());
+// Image i = ii.getImage();
+// Image resizedImage = null;
+// int iWidth = i.getWidth(null);
+// int iHeight = i.getHeight(null);
+// if (iWidth < newWidth) {
+// newWidth = iWidth;
+// }
+// if (iWidth > iHeight) {
+// resizedImage = i.getScaledInstance(newWidth, (newWidth * iHeight) / iWidth, Image.SCALE_SMOOTH);
+// } else {
+// resizedImage = i.getScaledInstance((newWidth * iWidth) / iHeight, newWidth, Image.SCALE_SMOOTH);
+// }
+// Image temp = new ImageIcon(resizedImage).getImage();
+// BufferedImage bufferedImage = new BufferedImage(temp.getWidth(null), temp.getHeight(null), BufferedImage.TYPE_INT_RGB);
+// Graphics g = bufferedImage.createGraphics();
+// g.setColor(Color.white);
+// g.fillRect(0, 0, temp.getWidth(null), temp.getHeight(null));
+// g.drawImage(temp, 0, 0, null);
+// g.dispose();
+// float softenFactor = 0.05f;
+// float[] softenArray = {0, softenFactor, 0, softenFactor, 1 - (softenFactor * 4), softenFactor, 0, softenFactor, 0};
+// Kernel kernel = new Kernel(3, 3, softenArray);
+// ConvolveOp cOp = new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
+// bufferedImage = cOp.filter(bufferedImage, null);
+// FileOutputStream out = new FileOutputStream(resizedFile);
+// JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(out);
+// JPEGEncodeParam param = encoder.getDefaultJPEGEncodeParam(bufferedImage);
+// param.setQuality(quality, true);
+// encoder.setJPEGEncodeParam(param);
+// encoder.encode(bufferedImage);
+// }
+//}
--
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