调试使用百度OCR人工智能平台的通用物体和场景识别API

使用平台

一、如何发起http请求

这是本人学习是学的文章，可参考，但写的或许不是很好。
【Linux使用libcurl库进行Http请求】
可也参考其他文章
这个比较详细

二、如何使用百度AI平台

1.控制台

2.创建应用

3.进入API在线调试获取Tokens

4.填入你的token

再上传你需要识别的照片，就可以进行识别了

实现代码

/*此代码功能是将百度AI平台识别过后返回的JSON数据处理好后，只打印出得分最高那项JSON*/

#include "cJSON.h"
#include <sys/types.h>
#include <sys/stat.h>
#include <fcntl.h>
#include <unistd.h>
#include <stdio.h>
#include <curl/curl.h>
#include <stdbool.h>
#include <stdlib.h>
#include <string.h>

char buf[10240] = {'\0'};

size_t readData( void *ptr, size_t size, size_t nmemb, void *stream)
{
	strncpy(buf,ptr,1024);
	printf("=========================get Data======================================\n");
	printf("%s\n",buf);
}

char *getBase64FromFile(char *filePath)
{
	char *bufPic;
	char cmd[128] = {'\0'};

	sprintf(cmd, "base64 %s > tempFile", filePath);
	system(cmd);

	int fd = open("./tempFile",O_RDWR);
	int filelen = lseek(fd, 0, SEEK_END);
	lseek(fd, 0, SEEK_SET);
	bufPic = (char*)malloc(filelen+8);

	memset(bufPic, '\0', filelen+8);
	read(fd, bufPic, filelen);
	close(fd);
	system("rm -f tempFlie");

	return bufPic;
}

char* url_encode_with_curl(const char *input) 
{
	CURL *curl = curl_easy_init();
	char *encoded = NULL;

	if (curl) 
	{
		encoded = curl_easy_escape(curl, input, 0);
		curl_easy_cleanup(curl);
	}

	return encoded;  // 注意：调用者负责释放这个字符串
}

void parse_complex_json(char *json_data) 
{
	cJSON *root = cJSON_Parse(json_data);
	if (root == NULL) 
	{
		printf("Error parsing JSON.\n");
		return;
	}

	// 解析 result 数组，并找出最高分数的项
	cJSON *result = cJSON_GetObjectItem(root, "result");
	double highest_score = -1.0;
	cJSON *highest_score_item = NULL;

	if (cJSON_IsArray(result)) 
	{
		int size = cJSON_GetArraySize(result);
		for (int i = 0; i < size; i++) 
		{
			cJSON *item = cJSON_GetArrayItem(result, i);
			cJSON *score = cJSON_GetObjectItem(item, "score");

			if (cJSON_IsNumber(score)) 
			{
				if (score->valuedouble > highest_score)
				{
					highest_score = score->valuedouble;
					highest_score_item = item;
				}
			}
		}
	}

	// 打印分数最高的项
	if (highest_score_item != NULL) 
	{
		cJSON *keyword = cJSON_GetObjectItem(highest_score_item, "keyword");
		cJSON *root_category = cJSON_GetObjectItem(highest_score_item, "root");

		if (cJSON_IsString(keyword)) 
		{
			printf("Keyword with highest score: %s\n", keyword->valuestring);
		}
		printf("Highest Score: %f\n", highest_score);
		if (cJSON_IsString(root_category)) 
		{
			printf("Root Category: %s\n", root_category->valuestring);
		}
	}

	// 清理资源
	cJSON_Delete(root);
}

bool postUrl()
{
	CURL *curl;
	CURLcode res;

	char *postString;

	char *bufpic = getBase64FromFile("./baishi.jpg");//生成base64编码	
	char *encoded = url_encode_with_curl(bufpic);//将base64编码再进行url编码
	int len = strlen(encoded)+1024;
	postString = (char *)malloc(len);
	memset(postString, '\0', len);
	sprintf(postString, "image=%s", encoded);


	curl = curl_easy_init();
	if (curl)
	{
		curl_easy_setopt(curl, CURLOPT_COOKIEFILE, "/tmp/cookie.txt"); // 指定cookie文件
		curl_easy_setopt(curl, CURLOPT_POSTFIELDS, postString);    // 指定post内容
		curl_easy_setopt(curl, CURLOPT_URL, "https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general?access_token=YOUR_TOKEN");// 指定url  写入你自己Token
		curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
		curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https");
		struct curl_slist *headers = NULL;
		headers = curl_slist_append(headers, "Content-Type: application/x-www-form-urlencoded");
		headers = curl_slist_append(headers, "Accept: application/json");
		curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);	
		curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, readData);
		res = curl_easy_perform(curl);
		printf("OK:%d\n",res);		

		curl_easy_cleanup(curl);
	}
	free(postString);
	free(encoded);
	free(bufpic);
	return true;
}
int main(void)
{
	postUrl();
	parse_complex_json(buf);
}