人体检测和属性识别

<?php
/**

 * 发起http post请求(REST API), 并获取REST请求的结果

 * @param string $url

 * @param string $param

 * @return - http response body if succeeds, else false.
   */
   function request_post($url = '', $param = '')
   {
   if (empty($url) || empty($param)) {
       return false;
   }

   $postUrl = $url;
   $curlPost = $param;
   // 初始化curl
   $curl = curl_init();
   curl_setopt($curl, CURLOPT_URL, $postUrl);
   curl_setopt($curl, CURLOPT_HEADER, 0);
   // 要求结果为字符串且输出到屏幕上
   curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
   curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
   // post提交方式
   curl_setopt($curl, CURLOPT_POST, 1);
   curl_setopt($curl, CURLOPT_POSTFIELDS, $curlPost);
   // 运行curl
   $data = curl_exec($curl);
   curl_close($curl);

   return $data;
   }

$token = '[调用鉴权接口获取的token]';
$url = 'https://aip.baidubce.com/rest/2.0/image-classify/v1/body_attr?access_token=' . $token;
$img = file_get_contents('[本地文件路径]');
$img = base64_encode($img);
$bodys = array(
    'image' => $img
);
$res = request_post($url, $bodys);

var_dump($res);

package com.baidu.ai.aip;

import com.baidu.ai.aip.utils.Base64Util;
import com.baidu.ai.aip.utils.FileUtil;
import com.baidu.ai.aip.utils.HttpUtil;

import java.net.URLEncoder;

/**

* 人体检测和属性识别
  */
  public class BodyAttr {

    /**

    * 重要提示代码中所需工具类

    * FileUtil,Base64Util,HttpUtil,GsonUtils请从

    * https://ai.baidu.com/file/658A35ABAB2D404FBF903F64D47C1F72

    * https://ai.baidu.com/file/C8D81F3301E24D2892968F09AE1AD6E2

    * https://ai.baidu.com/file/544D677F5D4E4F17B4122FBD60DB82B3

    * https://ai.baidu.com/file/470B3ACCA3FE43788B5A963BF0B625F3

    * 下载
      */
        public static String body_attr() {
      // 请求url
      String url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/body_attr";
      try {
          // 本地文件路径
          String filePath = "[本地文件路径]";
          byte[] imgData = FileUtil.readFileByBytes(filePath);
          String imgStr = Base64Util.encode(imgData);
          String imgParam = URLEncoder.encode(imgStr, "UTF-8");

          String param = "image=" + imgParam;
          
          // 注意这里仅为了简化编码每一次请求都去获取access_token，线上环境access_token有过期时间， 客户端可自行缓存，过期后重新获取。
          String accessToken = "[调用鉴权接口获取的token]";
          
          String result = HttpUtil.post(url, accessToken, param);
          System.out.println(result);
          return result;

      } catch (Exception e) {
          e.printStackTrace();
      }
      return null;
        }

    public static void main(String[] args) {
        BodyAttr.body_attr();
    }
  }

# encoding:utf-8

import requests
import base64

'''
人体检测和属性识别
'''

request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/body_attr"

# 二进制方式打开图片文件

f = open('[本地文件]', 'rb')
img = base64.b64encode(f.read())

params = {"image":img}
access_token = '[调用鉴权接口获取的token]'
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/x-www-form-urlencoded'}
response = requests.post(request_url, data=params, headers=headers)
if response:
    print (response.json())

#include <iostream>
#include <curl/curl.h>

// libcurl库下载链接：https://curl.haxx.se/download.html
// jsoncpp库下载链接：https://github.com/open-source-parsers/jsoncpp/
const static std::string request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/body_attr";
static std::string body_attr_result;
/**

 * curl发送http请求调用的回调函数，回调函数中对返回的json格式的body进行了解析，解析结果储存在全局的静态变量当中

 * @param 参数定义见libcurl文档

 * @return 返回值定义见libcurl文档
   */
   static size_t callback(void *ptr, size_t size, size_t nmemb, void *stream) {
   // 获取到的body存放在ptr中，先将其转换为string格式
   body_attr_result = std::string((char *) ptr, size * nmemb);
   return size * nmemb;
   }
   /**

 * 人体检测和属性识别

 * @return 调用成功返回0，发生错误返回其他错误码
   */
   int body_attr(std::string &json_result, const std::string &access_token) {
   std::string url = request_url + "?access_token=" + access_token;
   CURL *curl = NULL;
   CURLcode result_code;
   int is_success;
   curl = curl_easy_init();
   if (curl) {
       curl_easy_setopt(curl, CURLOPT_URL, url.data());
       curl_easy_setopt(curl, CURLOPT_POST, 1);
       curl_httppost *post = NULL;
       curl_httppost *last = NULL;
       curl_formadd(&post, &last, CURLFORM_COPYNAME, "image", CURLFORM_COPYCONTENTS, "【base64_img】", CURLFORM_END);

       curl_easy_setopt(curl, CURLOPT_HTTPPOST, post);
       curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, callback);
       result_code = curl_easy_perform(curl);
       if (result_code != CURLE_OK) {
           fprintf(stderr, "curl_easy_perform() failed: %s\n",
                   curl_easy_strerror(result_code));
           is_success = 1;
           return is_success;
       }
       json_result = body_attr_result;
       curl_easy_cleanup(curl);
       is_success = 0;

   } else {
       fprintf(stderr, "curl_easy_init() failed.");
       is_success = 1;
   }
   return is_success;
   }

using System;
using System.IO;
using System.Net;
using System.Text;
using System.Web;

namespace com.baidu.ai
{
    public class BodyAttr
    {
        // 人体检测和属性识别
        public static string body_attr()
        {
            string token = "[调用鉴权接口获取的token]";
            string host = "https://aip.baidubce.com/rest/2.0/image-classify/v1/body_attr?access_token=" + token;
            Encoding encoding = Encoding.Default;
            HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
            request.Method = "post";
            request.KeepAlive = true;
            // 图片的base64编码
            string base64 = getFileBase64("[本地图片文件]");
            String str = "image=" + HttpUtility.UrlEncode(base64);
            byte[] buffer = encoding.GetBytes(str);
            request.ContentLength = buffer.Length;
            request.GetRequestStream().Write(buffer, 0, buffer.Length);
            HttpWebResponse response = (HttpWebResponse)request.GetResponse();
            StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.Default);
            string result = reader.ReadToEnd();
            Console.WriteLine("人体检测和属性识别:");
            Console.WriteLine(result);
            return result;
        }

        public static String getFileBase64(String fileName) {
            FileStream filestream = new FileStream(fileName, FileMode.Open);
            byte[] arr = new byte[filestream.Length];
            filestream.Read(arr, 0, (int)filestream.Length);
            string baser64 = Convert.ToBase64String(arr);
            filestream.Close();
            return baser64;
        }
    }
}