c#调用阿里云实现图像识别，图像打标，人脸识别等
电脑版发表于：2020/2/17 21:40
随便创建一个类存放你的ak_id,ak_secret方便测试
public class SecretTools
{
public static string ak_id = "your ak_id ";
public static string ak_secret = "your secret";
}调用的代码：
public ActionResult Index()
{
string url = "https://dtplus-cn-shanghai.data.aliyuncs.com/image/tag";
//准备需要的参数
string method = "POST";
string accept = "application/json";
string contentType = accept;
string date = DateTime.UtcNow.GetDateTimeFormats('r')[0].ToString();
//body
var bodyobj = new
{
type = 0,
image_url = "https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1581956240165&di=0984096776f9a34597df420f2ff37d1c&imgtype=0&src=http%3A%2F%2F06imgmini.eastday.com%2Fmobile%2F20180827%2F20180827230103_4b8017aa5fe754c1e44960747e375068_15.jpeg"
};
string bodyjsonStr = JsonConvert.SerializeObject(bodyobj);
byte[] data = System.Text.Encoding.ASCII.GetBytes(bodyjsonStr);
byte[] md5 = new MD5CryptoServiceProvider().ComputeHash(System.Text.Encoding.UTF8.GetBytes(bodyjsonStr));
string bodyMd5 = Convert.ToBase64String(md5);
//signature,authHeader
string stringToSign = method + "\n" + accept + "\n" + bodyMd5 + "\n" + contentType + "\n" + date + "\n" + "/image/tag";
var md5code = new HMACSHA1(System.Text.Encoding.UTF8.GetBytes(SecretTools.ak_secret)).ComputeHash(System.Text.Encoding.UTF8.GetBytes(stringToSign));
var signature = Convert.ToBase64String(md5code);
string authHeader = "Dataplus " + SecretTools.ak_id + ":" + signature;
//调用接口
WebRequest webRequest = WebRequest.Create(url);
webRequest.Method = method;
webRequest.ContentType = contentType;
//写入body
webRequest.GetRequestStream().Write(data, 0, data.Length);
//按照阿里云文档说明提供headers参数设置(注意：这种设置方法会报：必须使用适当的属性或方法修改“Date”标头)
//req.Headers.Add("Date", date);
//req.Headers.Add("Authorization", authHeader);
//req.Headers.Add("Accept", accept);
//根据反射来给header提供需要的参数
MethodInfo methodInfo = webRequest.Headers.GetType().GetMethod("AddWithoutValidate", BindingFlags.Instance | BindingFlags.NonPublic);
methodInfo.Invoke(webRequest.Headers, new[] { "Date", date });
methodInfo.Invoke(webRequest.Headers, new[] { "Authorization", authHeader });
methodInfo.Invoke(webRequest.Headers, new[] { "Accept", accept });
//调用接口得到返回内容
System.IO.Stream stream = webRequest.GetResponse().GetResponseStream();
System.IO.StreamReader streamReader = new System.IO.StreamReader(stream);
string result = streamReader.ReadToEnd();
return View();
}返回数据如下：这里调用的是图像识别中的图像打标接口，其他接口几乎一样修改参数即可
把调用接口的代码优化一下封装成一个方法
上面的方法太多了，不可能每次都写那么大一堆,封装一下我们调用就会方便很多了
public class AliAITools
{
public static string Invoke(string ak_id, string ak_secret, string url, string tag, string bodyjsonStr)
{
//准备需要的参数
string method = "POST";
string accept = "application/json";
string contentType = accept;
string date = DateTime.UtcNow.GetDateTimeFormats('r')[0].ToString();
byte[] data = System.Text.Encoding.ASCII.GetBytes(bodyjsonStr);
byte[] md5 = new MD5CryptoServiceProvider().ComputeHash(System.Text.Encoding.UTF8.GetBytes(bodyjsonStr));
string bodyMd5 = Convert.ToBase64String(md5);
//signature,authHeader
string stringToSign = method + "\n" + accept + "\n" + bodyMd5 + "\n" + contentType + "\n" + date + "\n" + tag;
var md5code = new HMACSHA1(System.Text.Encoding.UTF8.GetBytes(ak_secret)).ComputeHash(System.Text.Encoding.UTF8.GetBytes(stringToSign));
var signature = Convert.ToBase64String(md5code);
string authHeader = "Dataplus " + ak_id + ":" + signature;
//调用接口
WebRequest webRequest = WebRequest.Create(url);
webRequest.Method = method;
webRequest.ContentType = contentType;
//写入body
webRequest.GetRequestStream().Write(data, 0, data.Length);
//按照阿里云文档说明提供headers参数设置(注意：这种设置方法会报：必须使用适当的属性或方法修改“Date”标头)
//req.Headers.Add("Date", date);
//req.Headers.Add("Authorization", authHeader);
//req.Headers.Add("Accept", accept);
//根据反射来给header提供需要的参数
MethodInfo methodInfo = webRequest.Headers.GetType().GetMethod("AddWithoutValidate", BindingFlags.Instance | BindingFlags.NonPublic);
methodInfo.Invoke(webRequest.Headers, new[] { "Date", date });
methodInfo.Invoke(webRequest.Headers, new[] { "Authorization", authHeader });
methodInfo.Invoke(webRequest.Headers, new[] { "Accept", accept });
//调用接口得到返回内容
System.IO.Stream stream = webRequest.GetResponse().GetResponseStream();
System.IO.StreamReader streamReader = new System.IO.StreamReader(stream);
string result = streamReader.ReadToEnd();
return result;
}
}调用：这里我们为了区分一下调用图片识别中的场景识别试试
public ActionResult MageScene()
{
//构建参数
var body = new
{
type = 0,
image_url = "https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1581958125820&di=385b135756592dfb5f98c14ac4a00a20&imgtype=0&src=http%3A%2F%2Fpix3.agoda.net%2FhotelImages%2F111%2F1115826%2F1115826_16051715300042404569.jpg"
};
string bodyJsonStr = JsonConvert.SerializeObject(body);
string url = "https://dtplus-cn-shanghai.data.aliyuncs.com/image/scene";
string result = AliAITools.Invoke(SecretTools.ak_id, SecretTools.ak_secret, url, "/image/scene", bodyJsonStr);
return View();
}可以看到很简洁代码会少很多
使用Base64的传递方式调用一下
public ActionResult MageSceneBase64()
{
//base64格式传输图片
var body = new
{
type = 1,
content = getFileBase64("c://cc.jpg")
};
string bodyJsonStr = JsonConvert.SerializeObject(body);
string url = "https://dtplus-cn-shanghai.data.aliyuncs.com/image/scene";
string result = AliAITools.Invoke(SecretTools.ak_id, SecretTools.ak_secret, url, "/image/scene", bodyJsonStr);
return View();
}getFileBase64的方法贴一下：
public 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;
}至于其他同类型的接口我们可以自己修改一下参数即可完成调用
比如图片当然的人脸检测接口：
/// <summary>
/// 人脸检测
/// </summary>
/// <returns></returns>
public ActionResult FaceDetect()
{
var body = new
{
type = 0,
image_url = "https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1581961247078&di=360bd00e6abacceaa6e6e2d7c22c82bf&imgtype=0&src=http%3A%2F%2Fn.sinaimg.cn%2Fsinacn20%2F397%2Fw1200h797%2F20180723%2F2155-hftenhz1666262.jpg"
};
string bodyJsonStr = JsonConvert.SerializeObject(body);
string url = "https://dtplus-cn-shanghai.data.aliyuncs.com/face/detect";
string result = AliAITools.Invoke(SecretTools.ak_id, SecretTools.ak_secret, url, "/face/detect", bodyJsonStr);
return View();
}或者图片当中的人脸属性识别接口：
/// <summary>
/// 人脸属性识别
/// </summary>
/// <returns></returns>
public ActionResult FaceAttribute()
{
var body = new
{
type = 0,
image_url = "https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1581961247078&di=360bd00e6abacceaa6e6e2d7c22c82bf&imgtype=0&src=http%3A%2F%2Fn.sinaimg.cn%2Fsinacn20%2F397%2Fw1200h797%2F20180723%2F2155-hftenhz1666262.jpg"
};
string bodyJsonStr = JsonConvert.SerializeObject(body);
string url = "https://dtplus-cn-shanghai.data.aliyuncs.com/face/attribute";
string result = AliAITools.Invoke(SecretTools.ak_id, SecretTools.ak_secret, url, "/face/attribute", bodyJsonStr);
return View();
}