Java应用之图片美化增强AI接口调用手册

在调合合AI平台提供的图片美化增强API接口，API平台链接：https://ai.ccint.com/doc/api/crop_enhance_image， 因为有遇到一些问题，写篇博客记录一下

API文档提供的说明: url中参数app_key为个人中心实例的app_key

请求方式: POST

返回类型: JSON

POST BODY请求字段描述

POST BODY，接口要求以Post body方式发送，因为要传base64字符串，请求参数过长有400错误的

{ "image_data": "", // 必填，图像的base64串 "app_secret": "" // 必填，个人中心实例的app_secret "scan-m": 1, //扫描模式， 建议为 1 "detail": -1, //锐化程度，建议为-1 "contrast": 0, //对比度 ，建议为 0 "bright": 0, //增亮 ，建议为 0 "enhanceMode": 0 //增强模式，1：增亮，2：增强并锐化，3：黑白，4：灰度 }

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提示：POST BODY 为 JSON字符串。

返回字段描述

正常返回示例

{ "code": 200, "message": "success", "result": “图片base64信息” }

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失败返回示例

{ "code":30301, "message":"额度已用完，请充值后使用" }

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返回码说明

API文档提供的实例代码：

import sun.misc.BASE64Encoder; import java.io.*; import java.net.HttpURLConnection; import java.net.URL; import java.net.URLConnection; public class Main { public static void main(String[] args) throws Exception { String url = "https://ocr-api.ccint.com/ocr_service?app_key=%s"; String appKey = "xxxxxx"; // your app_key String appSecret = "xxxxxx"; // your app_secret url = String.format(url, appKey); OutputStreamWriter out = null; BufferedReader in = null; String result = ""; try { String imgData = imageToBase64("example.jpg"); String param="{\"app_secret\":\"%s\",\"image_data\":\"%s\"}"; param=String.format(param,appSecret,imgData); URL realUrl = new URL(url); HttpURLConnection conn = (HttpURLConnection) realUrl.openConnection(); conn.setRequestProperty("accept", "*/*"); conn.setRequestProperty("connection", "Keep-Alive"); conn.setRequestProperty("user-agent", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1;SV1)"); conn.setDoOutput(true); conn.setDoInput(true); conn.setRequestMethod("POST"); // 设置请求方式 conn.setRequestProperty("Content-Type", "application/json"); // 设置发送数据的 conn.connect(); out = new OutputStreamWriter(conn.getOutputStream(), "UTF-8"); out.append(param); out.flush(); out.close(); in = new BufferedReader(new InputStreamReader(conn.getInputStream())); String line; while ((line = in.readLine()) != null) { result += line; } } catch (Exception e) { System.out.println("发送 POST 请求出现异常！" + e); e.printStackTrace(); } finally { try { if (out != null) { out.close(); } if (in != null) { in.close(); } } catch (IOException ex) { ex.printStackTrace(); } } System.out.println(result); } public static String imageToBase64(String path) { String imgFile = path; InputStream in = null; byte[] data = null; try { in = new FileInputStream(imgFile); data = new byte[in.available()]; in.read(data); in.close(); } catch (IOException e) { e.printStackTrace(); } BASE64Encoder encoder = new BASE64Encoder(); return encoder.encode(data); } }

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注意要点：

写文件流时记得outputstream要flush，才能拿到数据

接口返回的json格式的数据，同时带有base64的字符串，所以需要json解析一下，然后调工具类，将base64字符串转换为文件，保存在本地，下面给出调用的代码，仅供参考

/** * 图片切边增强接口调用 * @author nicky.ma * @date 2019年5月20日下午3:44:27 * @param scanM 扫描模式， 建议为 1 * @param bright 增亮 ，建议为 0 * @param contrast 对比度 ，建议为 0 * @param detail 锐化程度，建议为-1 * @param sourcePath * @param destPath * detail=0&contrast=0&bright=50 增到最亮 * @return */ public static void ccintCropEnhanceHttpService(final int scanM,final int bright,final int contrast, final int detail,final int enhanceMode,String sourcePath,String destPath) throws Exception{ logger.info("sourcePath:{}"+sourcePath); logger.info("destPath:{}"+destPath); //base64转换 final String imgData = imageToBase64(sourcePath); Map paramsMap=new HashMap(){ private static final long serialVersionUID=1L; { put("image_data",imgData); put("app_secret",CCINT_APP_SECRET); put("scan-m",scanM); put("detail",detail); put("contrast",contrast); put("bright",bright); put("enhanceMode",enhanceMode); }}; String param = JSON.toJSONString(paramsMap); // String param="{\"app_secret\":\"%s\",\"image_data\":\"%s\",\"scan-m\":\"%s\",\"detail\":\"%s\",\"contrast\":\"%s\",\"bright\":\"%s\",\"enhanceMode\":\"%s\"}"; // param=String.format(param,CCINT_APP_SECRET,imgData,scanM,detail,contrast,bright,enhanceMode); String url = CCINT_CROP_ENHANCE_URL+"?app_key="+CCINT_APP_KEY; OutputStreamWriter out = null; BufferedReader in = null; String result = ""; try { URL realUrl = new URL(url); HttpURLConnection conn = (HttpURLConnection) realUrl.openConnection(); conn.setConnectTimeout(20*1000); conn.setReadTimeout(20*1000); conn.setRequestProperty("accept", "*/*"); conn.setRequestProperty("connection", "Keep-Alive"); conn.setRequestProperty("user-agent", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1;SV1)"); conn.setDoOutput(true); conn.setDoInput(true); conn.setRequestMethod("POST"); // 设置请求方式 //conn.setRequestProperty("transfer-encoding","chunked"); conn.setRequestProperty("Content-Type", "application/json"); // 设置发送数据的 conn.connect(); out = new OutputStreamWriter(conn.getOutputStream(), "UTF-8"); out.append(param); //要记得flush,才能拿到数据 out.flush(); out.close(); in = new BufferedReader(new InputStreamReader(conn.getInputStream())); String line; while ((line = in.readLine()) != null) { result += line; } logger.info("返回Result:{}"+result); int code=conn.getResponseCode(); if(code==200){ JSONObject obj = JSON.parseObject(result); // copyFileByInputStream(conn.getInputStream(),destPath); FileBase64Util.decoderBase64File(obj.getString("result"), destPath); logger.info("图片增强后文件大小:{}"+new File(destPath).length()/1024+"KB"); } conn.disconnect(); } catch (Exception e) { logger.error("AI平台接口调用异常:{}"+e); e.printStackTrace(); }finally { try { if (out != null) { out.close(); } if (in != null) { in.close(); } } catch (IOException ex) { ex.printStackTrace(); } } } private static String imageToBase64(String path) { String imgFile = path; InputStream in = null; byte[] data = null; try { in = new FileInputStream(imgFile); data = new byte[in.available()]; in.read(data); in.close(); } catch (IOException e) { e.printStackTrace(); } BASE64Encoder encoder = new BASE64Encoder(); return encoder.encode(data); }

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base64字符串和文件转换工具类：

import java.io.File; import java.io.FileInputStream; import java.io.FileOutputStream; import org.apache.commons.codec.binary.Base64; public class FileBase64Util{ /** * 将文件转成base64 字符串 * @param path文件路径 * @return * @throws Exception */ public static String encodeBase64File(String path) throws Exception { File file = new File(path); FileInputStream inputFile = new FileInputStream(file); byte[] buffer = new byte[(int) file.length()]; inputFile.read(buffer); inputFile.close(); return Base64.encodeBase64String(buffer); } /** * 将base64字符解码保存文件 * @param base64String * @param targetPath * @throws Exception */ public static void decoderBase64File(String base64String, String targetPath)throws Exception { byte[] buffer=Base64.decodeBase64(base64String); FileOutputStream out = new FileOutputStream(targetPath); out.write(buffer); out.close(); } /** * 将base64字符保存文本文件 * @param base64Code * @param targetPath * @throws Exception */ public static void toFile(String base64Code, String targetPath)throws Exception { byte[] buffer=base64Code.getBytes(); FileOutputStream out = new FileOutputStream(targetPath); out.write(buffer); out.close(); } public static void main(String[] args){ try{ String base64String=${base64字符串}; decoderBase64File(encodeBase64File("d://2018-11-27 14_34_28_reject_dq.pdf"),"D:/2.pdf"); }catch(Exception e){ e.printStackTrace(); } } }

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AI Java

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