果蔬识别
更新时间:2023-01-17
接口描述
该请求用于识别果蔬类食材,即对于输入的一张图片(可正常解码,且长宽比适宜),输出图片中的果蔬食材结果。
在线调试
您可以在 示例代码中心 中调试该接口,可进行签名验证、查看在线调用的请求内容和返回结果、示例代码的自动生成。
请求说明
请求示例
HTTP 方法:POST
请求URL: https://aip.baidubce.com/rest/2.0/image-classify/v1/classify/ingredient
URL参数:
参数 | 值 |
---|---|
access_token | 通过API Key和Secret Key获取的access_token,参考“Access Token获取” |
Header如下:
参数 | 值 |
---|---|
Content-Type | application/x-www-form-urlencoded |
Body中放置请求参数,参数详情如下:
请求参数
参数 | 是否必选 | 类型 | 可选值范围 | 说明 |
---|---|---|---|---|
image | 和url二选一 | string | 图像数据,base64编码,要求base64编码后大小不超过4M,最短边至少15px,最长边最大4096px,支持jpg/png/bmp格式。注意:图片需要base64编码、去掉编码头(data:image/jpg;base64,) 后,再进行urlencode。 |
|
url | 和image二选一 | string | 图片完整URL,URL长度不超过1024字节,URL对应的图片base64编码后大小不超过4M,最短边至少15px,最长边最大4096px,支持jpg/png/bmp格式,当image字段存在时url字段失效。 | |
top_num | 否 | unit32 | 返回预测得分top结果数,如果为空或小于等于0默认为5;如果大于20默认20 |
请求代码示例
提示一:使用示例代码前,请记得替换其中的示例Token、图片地址或Base64信息。
提示二:部分语言依赖的类或库,请在代码注释中查看下载地址。
1curl -i -k 'https://aip.baidubce.com/rest/2.0/image-classify/v1/classify/ingredient?access_token=【调用鉴权接口获取的token】' --data 'image=【图片Base64编码,需UrlEncode】' -H 'Content-Type:application/x-www-form-urlencoded'
1<?php
2/**
3 * 发起http post请求(REST API), 并获取REST请求的结果
4 * @param string $url
5 * @param string $param
6 * @return - http response body if succeeds, else false.
7 */
8function request_post($url = '', $param = '')
9{
10 if (empty($url) || empty($param)) {
11 return false;
12 }
13
14 $postUrl = $url;
15 $curlPost = $param;
16 // 初始化curl
17 $curl = curl_init();
18 curl_setopt($curl, CURLOPT_URL, $postUrl);
19 curl_setopt($curl, CURLOPT_HEADER, 0);
20 // 要求结果为字符串且输出到屏幕上
21 curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
22 curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
23 // post提交方式
24 curl_setopt($curl, CURLOPT_POST, 1);
25 curl_setopt($curl, CURLOPT_POSTFIELDS, $curlPost);
26 // 运行curl
27 $data = curl_exec($curl);
28 curl_close($curl);
29
30 return $data;
31}
32
33$token = '[调用鉴权接口获取的token]';
34$url = 'https://aip.baidubce.com/rest/2.0/image-classify/v1/classify/ingredient?access_token=' . $token;
35$img = file_get_contents('[本地文件路径]');
36$img = base64_encode($img);
37$bodys = array(
38 'image' => $img
39);
40$res = request_post($url, $bodys);
41
42var_dump($res);
1package com.baidu.ai.aip;
2
3import com.baidu.ai.aip.utils.Base64Util;
4import com.baidu.ai.aip.utils.FileUtil;
5import com.baidu.ai.aip.utils.HttpUtil;
6
7import java.net.URLEncoder;
8
9/**
10* 细粒度图像识别
11*/
12public class Ingredient {
13
14 /**
15 * 重要提示代码中所需工具类
16 * FileUtil,Base64Util,HttpUtil,GsonUtils请从
17 * https://ai.baidu.com/file/658A35ABAB2D404FBF903F64D47C1F72
18 * https://ai.baidu.com/file/C8D81F3301E24D2892968F09AE1AD6E2
19 * https://ai.baidu.com/file/544D677F5D4E4F17B4122FBD60DB82B3
20 * https://ai.baidu.com/file/470B3ACCA3FE43788B5A963BF0B625F3
21 * 下载
22 */
23 public static String ingredient() {
24 // 请求url
25 String url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/classify/ingredient";
26 try {
27 // 本地文件路径
28 String filePath = "[本地文件路径]";
29 byte[] imgData = FileUtil.readFileByBytes(filePath);
30 String imgStr = Base64Util.encode(imgData);
31 String imgParam = URLEncoder.encode(imgStr, "UTF-8");
32
33 String param = "image=" + imgParam;
34
35 // 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。
36 String accessToken = "[调用鉴权接口获取的token]";
37
38 String result = HttpUtil.post(url, accessToken, param);
39 System.out.println(result);
40 return result;
41 } catch (Exception e) {
42 e.printStackTrace();
43 }
44 return null;
45 }
46
47 public static void main(String[] args) {
48 Ingredient.ingredient();
49 }
50}
1# encoding:utf-8
2
3import requests
4import base64
5
6'''
7细粒度图像识别
8'''
9
10request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/classify/ingredient"
11# 二进制方式打开图片文件
12f = open('[本地文件]', 'rb')
13img = base64.b64encode(f.read())
14
15params = {"image":img}
16access_token = '[调用鉴权接口获取的token]'
17request_url = request_url + "?access_token=" + access_token
18headers = {'content-type': 'application/x-www-form-urlencoded'}
19response = requests.post(request_url, data=params, headers=headers)
20if response:
21 print (response.json())
1#include <iostream>
2#include <curl/curl.h>
3
4// libcurl库下载链接:https://curl.haxx.se/download.html
5// jsoncpp库下载链接:https://github.com/open-source-parsers/jsoncpp/
6const static std::string request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/classify/ingredient";
7static std::string ingredient_result;
8/**
9 * 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
10 * @param 参数定义见libcurl文档
11 * @return 返回值定义见libcurl文档
12 */
13static size_t callback(void *ptr, size_t size, size_t nmemb, void *stream) {
14 // 获取到的body存放在ptr中,先将其转换为string格式
15 ingredient_result = std::string((char *) ptr, size * nmemb);
16 return size * nmemb;
17}
18/**
19 * 细粒度图像识别
20 * @return 调用成功返回0,发生错误返回其他错误码
21 */
22int ingredient(std::string &json_result, const std::string &access_token) {
23 std::string url = request_url + "?access_token=" + access_token;
24 CURL *curl = NULL;
25 CURLcode result_code;
26 int is_success;
27 curl = curl_easy_init();
28 if (curl) {
29 curl_easy_setopt(curl, CURLOPT_URL, url.data());
30 curl_easy_setopt(curl, CURLOPT_POST, 1);
31 curl_httppost *post = NULL;
32 curl_httppost *last = NULL;
33 curl_formadd(&post, &last, CURLFORM_COPYNAME, "image", CURLFORM_COPYCONTENTS, "【base64_img】", CURLFORM_END);
34
35 curl_easy_setopt(curl, CURLOPT_HTTPPOST, post);
36 curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, callback);
37 result_code = curl_easy_perform(curl);
38 if (result_code != CURLE_OK) {
39 fprintf(stderr, "curl_easy_perform() failed: %s\n",
40 curl_easy_strerror(result_code));
41 is_success = 1;
42 return is_success;
43 }
44 json_result = ingredient_result;
45 curl_easy_cleanup(curl);
46 is_success = 0;
47 } else {
48 fprintf(stderr, "curl_easy_init() failed.");
49 is_success = 1;
50 }
51 return is_success;
52}
1using System;
2using System.IO;
3using System.Net;
4using System.Text;
5using System.Web;
6
7namespace com.baidu.ai
8{
9 public class Ingredient
10 {
11 // 细粒度图像识别
12 public static string ingredient()
13 {
14 string token = "[调用鉴权接口获取的token]";
15 string host = "https://aip.baidubce.com/rest/2.0/image-classify/v1/classify/ingredient?access_token=" + token;
16 Encoding encoding = Encoding.Default;
17 HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
18 request.Method = "post";
19 request.KeepAlive = true;
20 // 图片的base64编码
21 string base64 = getFileBase64("[本地图片文件]");
22 String str = "image=" + HttpUtility.UrlEncode(base64);
23 byte[] buffer = encoding.GetBytes(str);
24 request.ContentLength = buffer.Length;
25 request.GetRequestStream().Write(buffer, 0, buffer.Length);
26 HttpWebResponse response = (HttpWebResponse)request.GetResponse();
27 StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.Default);
28 string result = reader.ReadToEnd();
29 Console.WriteLine("细粒度图像识别:");
30 Console.WriteLine(result);
31 return result;
32 }
33
34 public static String getFileBase64(String fileName) {
35 FileStream filestream = new FileStream(fileName, FileMode.Open);
36 byte[] arr = new byte[filestream.Length];
37 filestream.Read(arr, 0, (int)filestream.Length);
38 string baser64 = Convert.ToBase64String(arr);
39 filestream.Close();
40 return baser64;
41 }
42 }
43}
返回说明
返回参数
字段 | 是否必选 | 类型 | 说明 |
---|---|---|---|
log_id | 是 | uint64 | 唯一的log id,用于问题定位 |
result | 是 | object() | 识别结果 |
result_num | 否 | unit32 | 识别结果数 |
+name | 否 | string | 图像中的食材名称 |
+score | 否 | double | 得分,0-1 |
返回示例
Plain Text
1HTTP/1.1 200 OK
2x-bce-request-id: 73c4e74c-3101-4a00-bf44-fe246959c05e
3Cache-Control: no-cache
4Server: BWS
5Date: Tue, 18 Oct 2016 02:21:01 GMT
6Content-Type: application/json;charset=UTF-8
7{
8 "log_id": 1091287364,
9 "result_num": 20,
10 "result": [
11 {
12 "name": "非果蔬食材",
13 "score": 0.99999988079071
14 },
15 {
16 "name": "油菜",
17 "score": 1.1175458780599e-8
18 },
19 {
20 "name": "蛇果",
21 "score": 7.2776291659693e-9
22 },
23 {
24 "name": "国光苹果",
25 "score": 5.6971951600815e-9
26 },
27 {
28 "name": "海枣",
29 "score": 4.2508210285064e-9
30 },
31 {
32 "name": "琼瑶浆葡萄",
33 "score": 4.1451895249622e-9
34 },
35 {
36 "name": "京锐号辣椒",
37 "score": 3.9915102334476e-9
38 },
39 {
40 "name": "冬瓜",
41 "score": 3.3611948779821e-9
42 },
43 {
44 "name": "长江豆",
45 "score": 2.9944848822794e-9
46 },
47 {
48 "name": "黑加仑",
49 "score": 2.7750137743254e-9
50 },
51 {
52 "name": "面包果",
53 "score": 2.3357531464541e-9
54 },
55 {
56 "name": "椰子",
57 "score": 1.9741890344704e-9
58 },
59 {
60 "name": "美人瓜",
61 "score": 1.9319581490151e-9
62 },
63 {
64 "name": "莲藕",
65 "score": 1.759222323372e-9
66 },
67 {
68 "name": "黑奥林",
69 "score": 1.7266311713726e-9
70 },
71 {
72 "name": "芥菜",
73 "score": 1.6180708994895e-9
74 },
75 {
76 "name": "样芹菜",
77 "score": 1.5472728653876e-9
78 },
79 {
80 "name": "篙巴",
81 "score": 1.4084827748562e-9
82 },
83 {
84 "name": "花生",
85 "score": 1.3972580870103e-9
86 },
87 {
88 "name": "魁绿猕猴桃",
89 "score": 1.3920842256709e-9
90 }
91 ]
92}