开发者社区 > 视觉智能 > 图像理解 > 正文

图像识别应用

怎么将我在android上拍的图片上传到阿里云上进行图像识别呢?用HttpsURLConnection中POST,怎么使用API接口

展开
收起
游客ontbed3aqbbhi 2019-10-28 11:11:45 1620 0
1 条回答
写回答
取消 提交回答
  • 在android上拍的图片上传到阿里云上进行图像识别,上传图片然后调用阿里图像识别

    package com.feng1.foundation.service.impl;

    import com.alibaba.fastjson.JSONException; import com.alibaba.fastjson.JSONObject; import com.feng1.foundation.dto.BankCardInfoDTO; import com.feng1.foundation.dto.IdentityCardInfoDTO; import com.feng1.foundation.po.*; import com.feng1.foundation.service.IDictionaryService; import com.feng1.foundation.service.IImageRecognitionService; import com.feng1.foundation.service.vo.DictionaryItemVO; import com.feng1.framework.common.domain.result.ModelResult; import com.feng1.framework.common.domain.result.ModelResultClient; import com.feng1.framework.common.http.HttpClient; import com.feng1.framework.util.DateUtil; import com.feng1.framework.util.JsonUtils; import com.google.common.collect.Lists; import okhttp3.MediaType; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.BeanUtils; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Value; import org.springframework.web.bind.annotation.RestController;

    import java.io.; import java.net.HttpURLConnection; import java.net.URL; import java.util.;

    import static org.apache.commons.codec.binary.Base64.encodeBase64;

    @RestController public class ImageRecognitionServiceImpl implements IImageRecognitionService {

    private static final Logger LOGGER = LoggerFactory.getLogger(ImageRecognitionServiceImpl.class);
    
    @Autowired
    HttpClient httpClient;
    
    @Autowired
    IDictionaryService dictionaryService;
    
    @Value("${imageRecognition.idCardHost}")
    private String idCardHost;
    
    @Value("${imageRecognition.idCardServicePath}")
    private String idCardServicePath;
    
    @Value("${imageRecognition.appcode}")
    private String appcode;
    
    @Value("${imageRecognition.qiniuPath}")
    private String qiniuPath;
    
    @Value("${imageRecognition.bankCardHost}")
    private String bankCardHost;
    
    @Value("${imageRecognition.bankCardServicePath}")
    private String bankCardServicePath;
    
    /**
     * 获取参数的json对象
     */
    public static JSONObject getParam(int type, String dataValue) {
        JSONObject obj = new JSONObject();
        try {
            obj.put("dataType", type);
            obj.put("dataValue", dataValue);
        } catch (JSONException e) {
            LOGGER.error("JSONException",e);
        }
        return obj;
    }
    
    
    @Override
    public ModelResult<IdentityCardInfoDTO> identityCardRecognition(String imagePath) {
    
        String imgFilePath = qiniuPath +"/"+ imagePath;
        //String imgFilePath ="https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1531919752737&di=8f489a54cd0e4beb43c424858cdb9a09&imgtype=0&src=http%3A%2F%2Fcq.focus.cn%2Fupload%2Fphotos%2F1760%2F7Nh8JmKZ.jpg";
        //如果文档的输入中含有inputs字段,设置为True, 否则设置为False
    
        //获取图片文件
        File imageFile = getImageFile(imgFilePath);
    
    
        //请根据线上文档修改configure字段
        JSONObject configObj = new JSONObject();
        configObj.put("side", "face");
        String config_str = configObj.toString();
    
        // 对图像进行base64编码
        String imgBase64 = "";
        try {
            byte[] content = new byte[(int) imageFile.length()];
            FileInputStream finputstream = new FileInputStream(imageFile);
            finputstream.read(content);
            finputstream.close();
            imgBase64 = new String(encodeBase64(content));
        } catch (IOException e) {
            e.printStackTrace();
            return new ModelResultClient<IdentityCardInfoDTO>().failFactory("-1","IO异常");
        }
        // 拼装请求body的json字符串
        JSONObject requestObj = new JSONObject();
        try {
            requestObj.put("image", imgBase64);
            if(config_str.length() > 0) {
                requestObj.put("configure", config_str);
            }
        } catch (JSONException e) {
            e.printStackTrace();
        }
        String bodys = requestObj.toString();
    
        IdentityCardInfoResult identityCardInfoResult =null;
        try {
            String res = httpClient.httpPostForImageRecog(idCardHost + idCardServicePath, bodys, MediaType.parse("application/x-www-form-urlencoded"),appcode);
    
            identityCardInfoResult = JsonUtils.jsonToBean(res, IdentityCardInfoResult.class);
        } catch (Exception e) {
            e.printStackTrace();
        }
        if(!"true".equalsIgnoreCase(identityCardInfoResult.getSuccess())){
            imageFile.delete();
            return new ModelResultClient<IdentityCardInfoDTO>().failFactory(identityCardInfoResult.getCode(),identityCardInfoResult.getMessage());
        }
        IdentityCardInfoDTO identityCardInfoDTO = new IdentityCardInfoDTO();
        String birth = identityCardInfoResult.getBirth();
        Date yyyyMMdd = DateUtil.parseDate(birth, "yyyy-MM-dd");
        int diffMonth = DateUtil.diffMonth(yyyyMMdd,new Date());
        int age = diffMonth / 12;
        BeanUtils.copyProperties(identityCardInfoResult,identityCardInfoDTO);
        identityCardInfoDTO.setAge(age);
        imageFile.delete();
        return new ModelResultClient<IdentityCardInfoDTO>().successFactory(identityCardInfoDTO);
    
    }
    
    @Override
    public ModelResult<BankCardInfoDTO> bankCardRecognition(String imagePath) {
        String imgFilePath = qiniuPath +"/"+ imagePath;
        File imageFile = getImageFile(imgFilePath);
    
        String imgBase64 = "";
        try {
            byte[] content = new byte[(int) imageFile.length()];
            FileInputStream finputstream = new FileInputStream(imageFile);
            finputstream.read(content);
            finputstream.close();
            imgBase64 = new String(encodeBase64(content));
        } catch (IOException e) {
            e.printStackTrace();
            return new ModelResultClient<BankCardInfoDTO>().failFactory("-1","IO异常");
        }
    
        JSONObject imageBody = new JSONObject();
        imageBody.put("dataType",50);
        imageBody.put("dataValue",imgBase64);
        JSONObject imageBodyOutSide = new JSONObject();
        imageBodyOutSide.put("image",imageBody);
        List<JSONObject> objects = Lists.newArrayList();
        objects.add(imageBodyOutSide);
        JSONObject requestBody = new JSONObject();
        requestBody.put("inputs",objects);
        String requestString = requestBody.toString();
    
        BankCardInfoResult bankCardInfoResult = new BankCardInfoResult();
        try {
            //最后在header中的格式(中间是英文空格)为Authorization:APPCODE 83359fd73fe94948385f570e3c139105
            String res = httpClient.httpPostForImageRecog(bankCardHost + bankCardServicePath, requestString, MediaType.parse("application/json;charset=utf-8"),appcode);
            bankCardInfoResult= JsonUtils.jsonToBean(res, BankCardInfoResult.class);
        } catch (Exception e) {
            LOGGER.error("调用阿里银行卡图像识别接口失败",e);
        }
        List<BankCardOutput> outputs = bankCardInfoResult.getOutputs();
        BankCardOutput bankCardOutput = outputs.get(0);
        BankCardOutputValue outputValue = bankCardOutput.getOutputValue();
        String dataValue = outputValue.getDataValue();
    
        BankCardDataValue bankCardDataValue = JsonUtils.jsonToBean(dataValue, BankCardDataValue.class);
        String successRes = bankCardDataValue.getSuccess();
        if(!"true".equalsIgnoreCase(successRes)){
            imageFile.delete();
            return new ModelResultClient<BankCardInfoDTO>().failFactory();
        }
    
        //获取银行卡号
        String card_num = bankCardDataValue.getCard_num();
        String res =null;
        try {
            res = httpClient.httpGet("https://ccdcapi.alipay.com/validateAndCacheCardInfo.json?cardNo="+card_num+"&cardBinCheck=true");
        } catch (IOException e) {
            LOGGER.error("根据银行卡号调用接口查询银行信息失败",e);
        }
        BankNamePO bankNamePO = JsonUtils.jsonToBean(res, BankNamePO.class);
        if("true".equalsIgnoreCase(successRes) && "false".equalsIgnoreCase(bankNamePO.getValidated())){
            imageFile.delete();
            return new ModelResultClient<BankCardInfoDTO>().failFactory("未找到匹配的银行信息");
        }
        //获取的是银行缩写,须查询数据字典
        String bank = bankNamePO.getBank();
        BankCardInfoDTO bankCardInfoDTO = new BankCardInfoDTO();
        bankCardInfoDTO.setBankCardNum(card_num);
        bankCardInfoDTO.setBankCode(bank);
        ModelResult<List<DictionaryItemVO>> bankNameResult = dictionaryService.getDictItems("BankName");
        List<DictionaryItemVO> bankList = bankNameResult.getData();
        for (DictionaryItemVO dictionaryItemVO : bankList) {
            if(dictionaryItemVO.getValue().equalsIgnoreCase(bank)){
                bankCardInfoDTO.setBankName(dictionaryItemVO.getLabel());
                break;
            }
        }
        imageFile.delete();
        return new ModelResultClient<BankCardInfoDTO>().successFactory(bankCardInfoDTO);
    }
    
    
    
    private File getImageFile(String imgFilePath){
        URL url = null;
        File imageFile =null;
        try {
            //new一个URL对象
            url = new URL(imgFilePath);
            //打开链接
            HttpURLConnection 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
            byte[] data = readInputStream(inStream);
            //new一个文件对象用来保存图片,默认保存当前工程根目录
            imageFile = new File("BeautyGirl"+UUID.randomUUID()+".jpg");
            //创建输出流
            FileOutputStream outStream = new FileOutputStream(imageFile);
            //写入数据
            outStream.write(data);
            //关闭输出流
            outStream.close();
        } catch (Exception e) {
            LOGGER.error("根据七牛云图片url生成图片文件异常"+e);
        }
        return imageFile;
    }
    
    private static byte[] readInputStream(InputStream inStream) throws Exception{
        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();
        //把outStream里的数据写入内存
        return outStream.toByteArray();
    }
    

    }

    2019-11-06 17:08:07
    赞同 展开评论 打赏

图像识别技术可实现精准识别图像中的视觉内容,包括上千种物体标签、数十种常见场景等,为用户提供图像打标、场景分类、颜色识别、风格识别以及元素识别等能力。图像识别技术可广泛应用于数字营销、新零售、广告设计等行业场景。

相关电子书

更多
对视觉智能未来发展的几点思考 立即下载
利⽤CNN实现⽆需联⽹的图像识别 立即下载
利用CNN实现无需联网的图像识别 立即下载