使用请求正文从 Microsoft Computer Vision 调用人脸 API 是 "application/json"
Calling Face API from Microsoft Computer Vision with request body is "application/json"
我正在尝试从 Microsoft 网站调用 Face API,我在他们的网站上找到了示例代码。在他们的代码中,他们使用 "Detect API"
作为示例,但我想测试 "Create Face List"
API。我发现我需要将 "Content type" 从 "application/octet-stream" 更改为 "application/json" 并填充 "Json field"。不幸的是,我是调用 API 方面的新手。
希望大家能帮上忙。
Here是示例代码的link。
而here是"Create Face List"API的link。
using (ByteArrayContent content = new ByteArrayContent(byteData))
{
// This example uses content type "application/octet-stream".
// The other content types you can use are "application/json"
// and "multipart/form-data".
content.Headers.ContentType =
new MediaTypeHeaderValue("application/octet-stream");
// Execute the REST API call.
response = await client.PostAsync(uri, content);
// Get the JSON response.
string contentString = await response.Content.ReadAsStringAsync();
// Display the JSON response.
Console.WriteLine("\nResponse:\n");
Console.WriteLine(JsonPrettyPrint(contentString));
Console.WriteLine("\nPress Enter to exit...");
}
阅读 documentation,我看到对于 ws "Create a FaceList" 你必须调用一个 Http Put
方法,内容类型为 application/json
.
这里是这个服务的描述:
FaceList - Create
Create an empty face list with user-specified faceListId, name and an optional userData. Up to 64 face lists are allowed in one subscription.
Face list is a list of faces, up to 1,000 faces, and used by Face - Find Similar.
After creation, user should use FaceList - Add Face to import the faces. Faces are stored on server until FaceList - Delete is called.
Find Similar is used for scenario like finding celebrity-like faces, similar face filtering, or as a light way face identification. But if the actual use is to identify person, please use PersonGroup / LargePersonGroup and Face - Identify.
Please consider LargeFaceList when the face number is large. It can support up to 1,000,000 faces.
HTTP 方法
放
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(string.Empty);
// Request headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");
var uri = "https://westcentralus.api.cognitive.microsoft.com/face/v1.0/facelists/{faceListId}?" + queryString;
HttpResponseMessage response;
// Request body
byte[] byteData = Encoding.UTF8.GetBytes("{\"name\": \"sample_list\",\"userData\": \"User-provided data attached to the face list.\"}");
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
response = await client.PutAsync(uri, content);
// Get the JSON response.
string contentString = await response.Content.ReadAsStringAsync();
// Display the JSON response.
Console.WriteLine("\nResponse:\n");
Console.WriteLine(JsonPrettyPrint(contentString));
Console.WriteLine("\nPress Enter to exit...");
}
目前,位置基准 url 是那些:
- 美国西部 - westus.api.cognitive.microsoft.com
- 美国西部 2 - westus2.api.cognitive.microsoft.com
- 美国东部 - eastus.api.cognitive.microsoft.com
- 美国东部 2 - eastus2.api.cognitive.microsoft.com
- 美国中西部 - westcentralus.api.cognitive.microsoft.com
- 美国中南部 - southcentralus.api.cognitive.microsoft.com
- 西欧 - westeurope.api.cognitive.microsoft.com
- 北欧 - northeurope.api.cognitive.microsoft.com
- 东南亚 - southeastasia.api.cognitive.microsoft.com
- 东亚 - eastasia.api.cognitive.microsoft.com
- 澳大利亚东部 - australiaeast.api.cognitive.microsoft.com
- 巴西南部 - brazilsouth.api.cognitive.microsoft.com
- 加拿大中部 - canadacentral.api.cognitive.microsoft.com
- 印度中部 - centralindia.api.cognitive.microsoft.com
- 英国南部 - uksouth.api.cognitive.microsoft.com
- 日本东部 - japaneast.api.cognitive.microsoft.com
- 美国中部 - centralus.api.cognitive.microsoft.com
- 法国中部 - francecentral.api.cognitive.microsoft.com
- 韩国中部 - koreacentral.api.cognitive.microsoft.com
- 日本西部 - japanwest.api.cognitive.microsoft.com
- 美国中北部 - 北部centralus.api.cognitive.microsoft.com
请求参数
faceListId
:有效字符为小写字母或数字或'-'或'_',最大长度为64。
请求headers
Content-Type
(可选):发送到 API.
的 body 的媒体类型
Ocp-Apim-Subscription-Key
:提供对此 API 的访问的订阅密钥。在您的认知服务帐户中找到。
请求body
JSON 请求中的字段 body
:
{
"name": "sample_list",//Name of the created face list, maximum length is 128.
"userData": "User-provided data attached to the face list." //Optional user defined data for the face list. Length should not exceed 16KB.
}
希望对你有所帮助
我正在尝试从 Microsoft 网站调用 Face API,我在他们的网站上找到了示例代码。在他们的代码中,他们使用 "Detect API"
作为示例,但我想测试 "Create Face List"
API。我发现我需要将 "Content type" 从 "application/octet-stream" 更改为 "application/json" 并填充 "Json field"。不幸的是,我是调用 API 方面的新手。
希望大家能帮上忙。
Here是示例代码的link。
而here是"Create Face List"API的link。
using (ByteArrayContent content = new ByteArrayContent(byteData))
{
// This example uses content type "application/octet-stream".
// The other content types you can use are "application/json"
// and "multipart/form-data".
content.Headers.ContentType =
new MediaTypeHeaderValue("application/octet-stream");
// Execute the REST API call.
response = await client.PostAsync(uri, content);
// Get the JSON response.
string contentString = await response.Content.ReadAsStringAsync();
// Display the JSON response.
Console.WriteLine("\nResponse:\n");
Console.WriteLine(JsonPrettyPrint(contentString));
Console.WriteLine("\nPress Enter to exit...");
}
阅读 documentation,我看到对于 ws "Create a FaceList" 你必须调用一个 Http Put
方法,内容类型为 application/json
.
这里是这个服务的描述:
FaceList - Create Create an empty face list with user-specified faceListId, name and an optional userData. Up to 64 face lists are allowed in one subscription. Face list is a list of faces, up to 1,000 faces, and used by Face - Find Similar. After creation, user should use FaceList - Add Face to import the faces. Faces are stored on server until FaceList - Delete is called. Find Similar is used for scenario like finding celebrity-like faces, similar face filtering, or as a light way face identification. But if the actual use is to identify person, please use PersonGroup / LargePersonGroup and Face - Identify. Please consider LargeFaceList when the face number is large. It can support up to 1,000,000 faces.
HTTP 方法 放
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(string.Empty);
// Request headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");
var uri = "https://westcentralus.api.cognitive.microsoft.com/face/v1.0/facelists/{faceListId}?" + queryString;
HttpResponseMessage response;
// Request body
byte[] byteData = Encoding.UTF8.GetBytes("{\"name\": \"sample_list\",\"userData\": \"User-provided data attached to the face list.\"}");
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
response = await client.PutAsync(uri, content);
// Get the JSON response.
string contentString = await response.Content.ReadAsStringAsync();
// Display the JSON response.
Console.WriteLine("\nResponse:\n");
Console.WriteLine(JsonPrettyPrint(contentString));
Console.WriteLine("\nPress Enter to exit...");
}
目前,位置基准 url 是那些:
- 美国西部 - westus.api.cognitive.microsoft.com
- 美国西部 2 - westus2.api.cognitive.microsoft.com
- 美国东部 - eastus.api.cognitive.microsoft.com
- 美国东部 2 - eastus2.api.cognitive.microsoft.com
- 美国中西部 - westcentralus.api.cognitive.microsoft.com
- 美国中南部 - southcentralus.api.cognitive.microsoft.com
- 西欧 - westeurope.api.cognitive.microsoft.com
- 北欧 - northeurope.api.cognitive.microsoft.com
- 东南亚 - southeastasia.api.cognitive.microsoft.com
- 东亚 - eastasia.api.cognitive.microsoft.com
- 澳大利亚东部 - australiaeast.api.cognitive.microsoft.com
- 巴西南部 - brazilsouth.api.cognitive.microsoft.com
- 加拿大中部 - canadacentral.api.cognitive.microsoft.com
- 印度中部 - centralindia.api.cognitive.microsoft.com
- 英国南部 - uksouth.api.cognitive.microsoft.com
- 日本东部 - japaneast.api.cognitive.microsoft.com
- 美国中部 - centralus.api.cognitive.microsoft.com
- 法国中部 - francecentral.api.cognitive.microsoft.com
- 韩国中部 - koreacentral.api.cognitive.microsoft.com
- 日本西部 - japanwest.api.cognitive.microsoft.com
- 美国中北部 - 北部centralus.api.cognitive.microsoft.com
请求参数
faceListId
:有效字符为小写字母或数字或'-'或'_',最大长度为64。
请求headers
Content-Type
(可选):发送到 API.
Ocp-Apim-Subscription-Key
:提供对此 API 的访问的订阅密钥。在您的认知服务帐户中找到。
请求body
JSON 请求中的字段 body
:
{
"name": "sample_list",//Name of the created face list, maximum length is 128.
"userData": "User-provided data attached to the face list." //Optional user defined data for the face list. Length should not exceed 16KB.
}
希望对你有所帮助