Amazon Rekognition 示例Amazon SDK for .NET - Amazon SDK for .NET
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Amazon Rekognition 示例Amazon SDK for .NET

以下代码示例显示如何通过Amazon SDK for .NET使用AAmazon Rekognition

操作展示如何调用具体的 Amazon Rekognition 函数的代码节选,这些节选介绍如何调用具体的 Amazon

方案展示如何通过调用多个 Amazon Rekognition 函数来完成特定任务的代码示例。

每个示例都包含一个指向 GitHub,其中包含了有关如何在上下文中设置和运行代码的说明。

主题

操作

以下代码示例演示如何使用 Amazon Rekognition 将图像中的人脸与参考图像进行比较。

有关更多信息,请参阅 。比较中的人脸.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.IO; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to compare faces in two images. /// The example uses the AWS SDK for .NET 3.7 and .NET Core 5.0. /// </summary> public class CompareFaces { public static async Task Main() { float similarityThreshold = 70F; string sourceImage = "source.jpg"; string targetImage = "target.jpg"; var rekognitionClient = new AmazonRekognitionClient(); Amazon.Rekognition.Model.Image imageSource = new Amazon.Rekognition.Model.Image(); try { using FileStream fs = new FileStream(sourceImage, FileMode.Open, FileAccess.Read); byte[] data = new byte[fs.Length]; fs.Read(data, 0, (int)fs.Length); imageSource.Bytes = new MemoryStream(data); } catch (Exception) { Console.WriteLine($"Failed to load source image: {sourceImage}"); return; } Amazon.Rekognition.Model.Image imageTarget = new Amazon.Rekognition.Model.Image(); try { using FileStream fs = new FileStream(targetImage, FileMode.Open, FileAccess.Read); byte[] data = new byte[fs.Length]; data = new byte[fs.Length]; fs.Read(data, 0, (int)fs.Length); imageTarget.Bytes = new MemoryStream(data); } catch (Exception ex) { Console.WriteLine($"Failed to load target image: {targetImage}"); Console.WriteLine(ex.Message); return; } var compareFacesRequest = new CompareFacesRequest { SourceImage = imageSource, TargetImage = imageTarget, SimilarityThreshold = similarityThreshold, }; // Call operation var compareFacesResponse = await rekognitionClient.CompareFacesAsync(compareFacesRequest); // Display results compareFacesResponse.FaceMatches.ForEach(match => { ComparedFace face = match.Face; BoundingBox position = face.BoundingBox; Console.WriteLine($"Face at {position.Left} {position.Top} matches with {match.Similarity}% confidence."); }); Console.WriteLine($"Found {compareFacesResponse.UnmatchedFaces.Count} face(s) that did not match."); } }
  • 有关详细信息,请参阅。CompareFacesAmazon SDK for .NETAPI 参考.

以下代码示例显示如何创建 Amazon Rekognition 集合。

有关更多信息,请参阅 。创建集合.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses Amazon Rekognition to create a collection to which you can add /// faces using the IndexFaces operation. The example was created using /// the AWS SDK for .NET 3.7 and .NET Core 5.0. /// </summary> public class CreateCollection { public static async Task Main() { var rekognitionClient = new AmazonRekognitionClient(); string collectionId = "MyCollection"; Console.WriteLine("Creating collection: " + collectionId); var createCollectionRequest = new CreateCollectionRequest { CollectionId = collectionId, }; CreateCollectionResponse createCollectionResponse = await rekognitionClient.CreateCollectionAsync(createCollectionRequest); Console.WriteLine($"CollectionArn : {createCollectionResponse.CollectionArn}"); Console.WriteLine($"Status code : {createCollectionResponse.StatusCode}"); } }
  • 有关详细信息,请参阅。CreateCollectionAmazon SDK for .NETAPI 参考.

以下代码示例显示如何删除 Amazon Rekognition 集合。

有关更多信息,请参阅 。删除集合.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to delete an existing collection. /// The example was created using the AWS SDK for .NET version 3.7 and /// .NET Core 5.0. /// </summary> public class DeleteCollection { public static async Task Main() { var rekognitionClient = new AmazonRekognitionClient(); string collectionId = "MyCollection"; Console.WriteLine("Deleting collection: " + collectionId); var deleteCollectionRequest = new DeleteCollectionRequest() { CollectionId = collectionId, }; var deleteCollectionResponse = await rekognitionClient.DeleteCollectionAsync(deleteCollectionRequest); Console.WriteLine($"{collectionId}: {deleteCollectionResponse.StatusCode}"); } }
  • 有关详细信息,请参阅。DeleteCollectionAmazon SDK for .NETAPI 参考.

以下代码示例显示如何删除 Amazon Rekognition 系列中的人脸。

有关更多信息,请参阅 。从集合中删除人脸.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Collections.Generic; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to delete one or more faces from /// a Rekognition collection. This example was created using the AWS SDK /// for .NET version 3.7 and .NET Core 5.0. /// </summary> public class DeleteFaces { public static async Task Main() { string collectionId = "MyCollection"; var faces = new List<string> { "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" }; var rekognitionClient = new AmazonRekognitionClient(); var deleteFacesRequest = new DeleteFacesRequest() { CollectionId = collectionId, FaceIds = faces, }; DeleteFacesResponse deleteFacesResponse = await rekognitionClient.DeleteFacesAsync(deleteFacesRequest); deleteFacesResponse.DeletedFaces.ForEach(face => { Console.WriteLine($"FaceID: {face}"); }); } }
  • 有关详细信息,请参阅。DeleteFacesAmazon SDK for .NETAPI 参考.

以下代码示例显示如何描述 Amazon Rekognition 集合。

有关更多信息,请参阅 。描述集合.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to describe the contents of a /// collection. The example was created using the AWS SDK for .NET version /// 3.7 and .NET Core 5.0. /// </summary> public class DescribeCollection { public static async Task Main() { var rekognitionClient = new AmazonRekognitionClient(); string collectionId = "MyCollection"; Console.WriteLine($"Describing collection: {collectionId}"); var describeCollectionRequest = new DescribeCollectionRequest() { CollectionId = collectionId, }; var describeCollectionResponse = await rekognitionClient.DescribeCollectionAsync(describeCollectionRequest); Console.WriteLine($"Collection ARN: {describeCollectionResponse.CollectionARN}"); Console.WriteLine($"Face count: {describeCollectionResponse.FaceCount}"); Console.WriteLine($"Face model version: {describeCollectionResponse.FaceModelVersion}"); Console.WriteLine($"Created: {describeCollectionResponse.CreationTimestamp}"); } }

以下代码示例显示如何通过 Amazon Rekognition 检测图像中的人脸。

有关更多信息,请参阅 。检测图像中的人脸.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Collections.Generic; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to detect faces within an image /// stored in an Amazon Simple Storage Service (Amazon S3) bucket. This /// example uses the AWS SDK for .NET version 3.7 and .NET Core 5.0. /// </summary> public class DetectFaces { public static async Task Main() { string photo = "input.jpg"; string bucket = "bucket"; var rekognitionClient = new AmazonRekognitionClient(); var detectFacesRequest = new DetectFacesRequest() { Image = new Image() { S3Object = new S3Object() { Name = photo, Bucket = bucket, }, }, // Attributes can be "ALL" or "DEFAULT". // "DEFAULT": BoundingBox, Confidence, Landmarks, Pose, and Quality. // "ALL": See https://docs.aws.amazon.com/sdkfornet/v3/apidocs/items/Rekognition/TFaceDetail.html Attributes = new List<string>() { "ALL" }, }; try { DetectFacesResponse detectFacesResponse = await rekognitionClient.DetectFacesAsync(detectFacesRequest); bool hasAll = detectFacesRequest.Attributes.Contains("ALL"); foreach (FaceDetail face in detectFacesResponse.FaceDetails) { Console.WriteLine($"BoundingBox: top={face.BoundingBox.Left} left={face.BoundingBox.Top} width={face.BoundingBox.Width} height={face.BoundingBox.Height}"); Console.WriteLine($"Confidence: {face.Confidence}"); Console.WriteLine($"Landmarks: {face.Landmarks.Count}"); Console.WriteLine($"Pose: pitch={face.Pose.Pitch} roll={face.Pose.Roll} yaw={face.Pose.Yaw}"); Console.WriteLine($"Brightness: {face.Quality.Brightness}\tSharpness: {face.Quality.Sharpness}"); if (hasAll) { Console.WriteLine($"Estimated age is between {face.AgeRange.Low} and {face.AgeRange.High} years old."); } } } catch (Exception ex) { Console.WriteLine(ex.Message); } } }

显示图像中所有面的边界框信息。

using System; using System.Collections.Generic; using System.Drawing; using System.IO; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to display the details of the /// bounding boxes around the faces detected in an image. This example was /// created using the AWS SDK for .NET version 3.7 and .NET Core 5.0. /// </summary> public class ImageOrientationBoundingBox { public static async Task Main() { string photo = @"D:\Development\AWS-Examples\Rekognition\target.jpg"; // "photo.jpg"; var rekognitionClient = new AmazonRekognitionClient(); var image = new Amazon.Rekognition.Model.Image(); try { using var fs = new FileStream(photo, FileMode.Open, FileAccess.Read); byte[] data = null; data = new byte[fs.Length]; fs.Read(data, 0, (int)fs.Length); image.Bytes = new MemoryStream(data); } catch (Exception) { Console.WriteLine("Failed to load file " + photo); return; } int height; int width; // Used to extract original photo width/height using (var imageBitmap = new Bitmap(photo)) { height = imageBitmap.Height; width = imageBitmap.Width; } Console.WriteLine("Image Information:"); Console.WriteLine(photo); Console.WriteLine("Image Height: " + height); Console.WriteLine("Image Width: " + width); try { var detectFacesRequest = new DetectFacesRequest() { Image = image, Attributes = new List<string>() { "ALL" }, }; DetectFacesResponse detectFacesResponse = await rekognitionClient.DetectFacesAsync(detectFacesRequest); detectFacesResponse.FaceDetails.ForEach(face => { Console.WriteLine("Face:"); ShowBoundingBoxPositions( height, width, face.BoundingBox, detectFacesResponse.OrientationCorrection); Console.WriteLine($"BoundingBox: top={face.BoundingBox.Left} left={face.BoundingBox.Top} width={face.BoundingBox.Width} height={face.BoundingBox.Height}"); Console.WriteLine($"The detected face is estimated to be between {face.AgeRange.Low} and {face.AgeRange.High} years old.\n"); }); } catch (Exception ex) { Console.WriteLine(ex.Message); } } /// <summary> /// Display the bounding box information for an image. /// </summary> /// <param name="imageHeight">The height of the image.</param> /// <param name="imageWidth">The width of the image.</param> /// <param name="box">The bounding box for a face found within the image.</param> /// <param name="rotation">The rotation of the face's bounding box.</param> public static void ShowBoundingBoxPositions(int imageHeight, int imageWidth, BoundingBox box, string rotation) { float left; float top; if (rotation == null) { Console.WriteLine("No estimated orientation. Check Exif data."); return; } // Calculate face position based on image orientation. switch (rotation) { case "ROTATE_0": left = imageWidth * box.Left; top = imageHeight * box.Top; break; case "ROTATE_90": left = imageHeight * (1 - (box.Top + box.Height)); top = imageWidth * box.Left; break; case "ROTATE_180": left = imageWidth - (imageWidth * (box.Left + box.Width)); top = imageHeight * (1 - (box.Top + box.Height)); break; case "ROTATE_270": left = imageHeight * box.Top; top = imageWidth * (1 - box.Left - box.Width); break; default: Console.WriteLine("No estimated orientation information. Check Exif data."); return; } // Display face location information. Console.WriteLine($"Left: {left}"); Console.WriteLine($"Top: {top}"); Console.WriteLine($"Face Width: {imageWidth * box.Width}"); Console.WriteLine($"Face Height: {imageHeight * box.Height}"); } }
  • 有关详细信息,请参阅。DetectFacesAmazon SDK for .NETAPI 参考.

以下代码示例显示如何通过 Amazon Rekognition 检测图像中的标签。

有关更多信息,请参阅 。检测图像中的标签.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to detect labels within an image /// stored in an Amazon Simple Storage Service (Amazon S3) bucket. This /// example was created using the AWS SDK for .NET and .NET Core 5.0. /// </summary> public class DetectLabels { public static async Task Main() { string photo = "del_river_02092020_01.jpg"; // "input.jpg"; string bucket = "igsmiths3photos"; // "bucket"; var rekognitionClient = new AmazonRekognitionClient(); var detectlabelsRequest = new DetectLabelsRequest { Image = new Image() { S3Object = new S3Object() { Name = photo, Bucket = bucket, }, }, MaxLabels = 10, MinConfidence = 75F, }; try { DetectLabelsResponse detectLabelsResponse = await rekognitionClient.DetectLabelsAsync(detectlabelsRequest); Console.WriteLine("Detected labels for " + photo); foreach (Label label in detectLabelsResponse.Labels) { Console.WriteLine($"Name: {label.Name} Confidence: {label.Confidence}"); } } catch (Exception ex) { Console.WriteLine(ex.Message); } } }

检测存储在计算机上的图像文件中的标签。

using System; using System.IO; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to detect labels within an image /// stored locally. This example was created using the AWS SDK for .NET /// and .NET Core 5.0. /// </summary> public class DetectLabelsLocalFile { public static async Task Main() { string photo = "input.jpg"; var image = new Amazon.Rekognition.Model.Image(); try { using var fs = new FileStream(photo, FileMode.Open, FileAccess.Read); byte[] data = null; data = new byte[fs.Length]; fs.Read(data, 0, (int)fs.Length); image.Bytes = new MemoryStream(data); } catch (Exception) { Console.WriteLine("Failed to load file " + photo); return; } var rekognitionClient = new AmazonRekognitionClient(); var detectlabelsRequest = new DetectLabelsRequest { Image = image, MaxLabels = 10, MinConfidence = 77F, }; try { DetectLabelsResponse detectLabelsResponse = await rekognitionClient.DetectLabelsAsync(detectlabelsRequest); Console.WriteLine($"Detected labels for {photo}"); foreach (Label label in detectLabelsResponse.Labels) { Console.WriteLine($"{label.Name}: {label.Confidence}"); } } catch (Exception ex) { Console.WriteLine(ex.Message); } } }
  • 有关详细信息,请参阅。DetectLabelsAmazon SDK for .NETAPI 参考.

以下代码示例显示如何通过 Amazon Rekognition 检测图像中的审阅标签。审核标签标识可能不适合某些受众的内容。

有关更多信息,请参阅 。检测不当图像.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to detect unsafe content in a /// JPEG or PNG format image. This example was created using the AWS SDK /// for .NET version 3.7 and .NET Core 5.0. /// </summary> public class DetectModerationLabels { public static async Task Main(string[] args) { string photo = "input.jpg"; string bucket = "bucket"; var rekognitionClient = new AmazonRekognitionClient(); var detectModerationLabelsRequest = new DetectModerationLabelsRequest() { Image = new Image() { S3Object = new S3Object() { Name = photo, Bucket = bucket, }, }, MinConfidence = 60F, }; try { var detectModerationLabelsResponse = await rekognitionClient.DetectModerationLabelsAsync(detectModerationLabelsRequest); Console.WriteLine("Detected labels for " + photo); foreach (ModerationLabel label in detectModerationLabelsResponse.ModerationLabels) { Console.WriteLine($"Label: {label.Name}"); Console.WriteLine($"Confidence: {label.Confidence}"); Console.WriteLine($"Parent: {label.ParentName}"); } } catch (Exception ex) { Console.WriteLine(ex.Message); } } }

以下代码示例显示如何通过 Amazon Rekognition 检测图像中的文本。

有关更多信息,请参阅 。检测到文字.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to detect text in an image. The /// example was created using the AWS SDK for .NET version 3.7 and .NET /// Core 5.0. /// </summary> public class DetectText { public static async Task Main() { string photo = "Dad_photographer.jpg"; // "input.jpg"; string bucket = "igsmiths3photos"; // "bucket"; var rekognitionClient = new AmazonRekognitionClient(); var detectTextRequest = new DetectTextRequest() { Image = new Image() { S3Object = new S3Object() { Name = photo, Bucket = bucket, }, }, }; try { DetectTextResponse detectTextResponse = await rekognitionClient.DetectTextAsync(detectTextRequest); Console.WriteLine($"Detected lines and words for {photo}"); detectTextResponse.TextDetections.ForEach(text => { Console.WriteLine($"Detected: {text.DetectedText}"); Console.WriteLine($"Confidence: {text.Confidence}"); Console.WriteLine($"Id : {text.Id}"); Console.WriteLine($"Parent Id: {text.ParentId}"); Console.WriteLine($"Type: {text.Type}"); }); } catch (Exception e) { Console.WriteLine(e.Message); } } }
  • 有关详细信息,请参阅。DetectTextAmazon SDK for .NETAPI 参考.

以下代码示例显示如何通过 Amazon Rekognition 获取有关名人的信息。

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Shows how to use Amazon Rekognition to retrieve information about the /// celebrity identified by the supplied celebrity Id. This example was /// created using the AWS SDK for .NET version 3.7 and .NET Core 5.0. /// </summary> public class CelebrityInfo { public static async Task Main() { string celebId = "nnnnnnnn"; var rekognitionClient = new AmazonRekognitionClient(); var celebrityInfoRequest = new GetCelebrityInfoRequest { Id = celebId, }; Console.WriteLine($"Getting information for celebrity: {celebId}"); var celebrityInfoResponse = await rekognitionClient.GetCelebrityInfoAsync(celebrityInfoRequest); // Display celebrity information. Console.WriteLine($"celebrity name: {celebrityInfoResponse.Name}"); Console.WriteLine("Further information (if available):"); celebrityInfoResponse.Urls.ForEach(url => { Console.WriteLine(url); }); } }
  • 有关详细信息,请参阅。GetCelebrityInfoAmazon SDK for .NETAPI 参考.

以下代码示例显示如何索引图像中的人脸并将人脸添加到 Amazon Rekognition 集合中。

有关更多信息,请参阅 。将人脸添加到集合.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Collections.Generic; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to detect faces in an image /// that has been uploaded to an Amazon Simple Storage Service (Amazon S3) /// bucket and then adds the information to a collection. The example was /// created using the AWS SDK for .NET and .NET Core 5.0. /// </summary> public class AddFaces { public static async Task Main() { string collectionId = "MyCollection2"; string bucket = "doc-example-bucket"; string photo = "input.jpg"; var rekognitionClient = new AmazonRekognitionClient(); var image = new Image { S3Object = new S3Object { Bucket = bucket, Name = photo, }, }; var indexFacesRequest = new IndexFacesRequest { Image = image, CollectionId = collectionId, ExternalImageId = photo, DetectionAttributes = new List<string>() { "ALL" }, }; IndexFacesResponse indexFacesResponse = await rekognitionClient.IndexFacesAsync(indexFacesRequest); Console.WriteLine($"{photo} added"); foreach (FaceRecord faceRecord in indexFacesResponse.FaceRecords) { Console.WriteLine($"Face detected: Faceid is {faceRecord.Face.FaceId}"); } } }
  • 有关详细信息,请参阅。IndexFacesAmazon SDK for .NETAPI 参考.

以下代码示例显示如何列出 Amazon Rekognition 系列的列出。

有关更多信息,请参阅 。列出出出出.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazpon Rekognition Service to list the collection IDs in the /// default user account. This example was crated using the AWS SDK for /// .NET version 3.7 and .NET Core 5.0. /// </summary> public class ListCollections { public static async Task Main() { var rekognitionClient = new AmazonRekognitionClient(); Console.WriteLine("Listing collections"); int limit = 10; var listCollectionsRequest = new ListCollectionsRequest { MaxResults = limit, }; var listCollectionsResponse = new ListCollectionsResponse(); do { if (listCollectionsResponse is not null) { listCollectionsRequest.NextToken = listCollectionsResponse.NextToken; } listCollectionsResponse = await rekognitionClient.ListCollectionsAsync(listCollectionsRequest); listCollectionsResponse.CollectionIds.ForEach(id => { Console.WriteLine(id); }); } while (listCollectionsResponse.NextToken is not null); } }
  • 有关详细信息,请参阅。ListCollectionsAmazon SDK for .NETAPI 参考.

以下代码示例显示如何列出 Amazon Rekognition 集合中的面孔。

有关更多信息,请参阅 。列出集合中的人脸.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to retrieve the list of faces /// stored in a collection. The example was created using AWS SDK for /// .NET version 3.7 and .NET Core 5.0. /// </summary> public class ListFaces { public static async Task Main() { string collectionId = "MyCollection2"; var rekognitionClient = new AmazonRekognitionClient(); var listFacesResponse = new ListFacesResponse(); Console.WriteLine($"Faces in collection {collectionId}"); var listFacesRequest = new ListFacesRequest { CollectionId = collectionId, MaxResults = 1, }; do { listFacesResponse = await rekognitionClient.ListFacesAsync(listFacesRequest); listFacesResponse.Faces.ForEach(face => { Console.WriteLine(face.FaceId); }); listFacesRequest.NextToken = listFacesResponse.NextToken; } while (!string.IsNullOrEmpty(listFacesResponse.NextToken)); } }
  • 有关详细信息,请参阅。ListFacesAmazon SDK for .NETAPI 参考.

以下代码示例显示如何通过 Amazon Rekognition 识别图像中的名人。

有关更多信息,请参阅 。识别图像中的名人.

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.IO; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Shows how to use Amazon Rekognition to identify celebrities in a photo. /// This example was created using the AWS SDK for .NET version 3.7 and /// .NET Core 5.0. /// </summary> public class CelebritiesInImage { public static async Task Main(string[] args) { string photo = "moviestars.jpg"; var rekognitionClient = new AmazonRekognitionClient(); var recognizeCelebritiesRequest = new RecognizeCelebritiesRequest(); var img = new Amazon.Rekognition.Model.Image(); byte[] data = null; try { using var fs = new FileStream(photo, FileMode.Open, FileAccess.Read); data = new byte[fs.Length]; fs.Read(data, 0, (int)fs.Length); } catch (Exception) { Console.WriteLine($"Failed to load file {photo}"); return; } img.Bytes = new MemoryStream(data); recognizeCelebritiesRequest.Image = img; Console.WriteLine($"Looking for celebrities in image {photo}\n"); var recognizeCelebritiesResponse = await rekognitionClient.RecognizeCelebritiesAsync(recognizeCelebritiesRequest); Console.WriteLine($"{recognizeCelebritiesResponse.CelebrityFaces.Count} celebrity(s) were recognized.\n"); recognizeCelebritiesResponse.CelebrityFaces.ForEach(celeb => { Console.WriteLine($"Celebrity recognized: {celeb.Name}"); Console.WriteLine($"Celebrity ID: {celeb.Id}"); BoundingBox boundingBox = celeb.Face.BoundingBox; Console.WriteLine($"position: {boundingBox.Left} {boundingBox.Top}"); Console.WriteLine("Further information (if available):"); celeb.Urls.ForEach(url => { Console.WriteLine(url); }); }); Console.WriteLine($"{recognizeCelebritiesResponse.UnrecognizedFaces.Count} face(s) were unrecognized."); } }

以下代码示例演示如何在 Amazon Rekognition 集合中搜索与该集合中的另一张人脸相匹配的面孔。

有关更多信息,请参阅 。搜索人脸(面容 ID).

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to find faces in an image that /// match the face Id provided in the method request. This example was /// created using the AWS SDK for .NET version 3.7 and .NET Core 5.0. /// </summary> public class SearchFacesMatchingId { public static async Task Main() { string collectionId = "MyCollection"; string faceId = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"; var rekognitionClient = new AmazonRekognitionClient(); // Search collection for faces matching the face id. var searchFacesRequest = new SearchFacesRequest { CollectionId = collectionId, FaceId = faceId, FaceMatchThreshold = 70F, MaxFaces = 2, }; SearchFacesResponse searchFacesResponse = await rekognitionClient.SearchFacesAsync(searchFacesRequest); Console.WriteLine("Face matching faceId " + faceId); Console.WriteLine("Matche(s): "); searchFacesResponse.FaceMatches.ForEach(face => { Console.WriteLine($"FaceId: {face.Face.FaceId} Similarity: {face.Similarity}"); }); } }
  • 有关详细信息,请参阅。SearchFacesAmazon SDK for .NETAPI 参考.

以下代码示例演示了如何在 Amazon Rekognition 集合中搜索人脸,而不是参考图片。

有关更多信息,请参阅 。搜索人脸(图片).

Amazon SDK for .NET
提示

要了解如何设置和运行此示例,请参阅GitHub.

using System; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to search for images matching those /// in a collection. The example was created using the AWS SDK for .NET /// version 3.7 and .NET Core 5.0. /// </summary> public class SearchFacesMatchingImage { public static async Task Main() { string collectionId = "MyCollection"; string bucket = "bucket"; string photo = "input.jpg"; var rekognitionClient = new AmazonRekognitionClient(); // Get an image object from S3 bucket. var image = new Image() { S3Object = new S3Object() { Bucket = bucket, Name = photo, }, }; var searchFacesByImageRequest = new SearchFacesByImageRequest() { CollectionId = collectionId, Image = image, FaceMatchThreshold = 70F, MaxFaces = 2, }; SearchFacesByImageResponse searchFacesByImageResponse = await rekognitionClient.SearchFacesByImageAsync(searchFacesByImageRequest); Console.WriteLine("Faces matching largest face in image from " + photo); searchFacesByImageResponse.FaceMatches.ForEach(face => { Console.WriteLine($"FaceId: {face.Face.FaceId}, Similarity: {face.Similarity}"); }); } }