Skip to content

typos in dotnet facematch #301

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
renatoaloi wants to merge 1 commit into
base: master
Choose a base branch
from
Open

typos in dotnet facematch #301

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
42 changes: 25 additions & 17 deletions dotnet/Face/FaceQuickstart.cs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,7 @@ static void Main(string[] args)
const string RECOGNITION_MODEL4 = RecognitionModel.Recognition04;
// </snippet_detect_models>

// <snippet_maincalls>
// <snippet_maincalls>
// Authenticate.
IFaceClient client = Authenticate(ENDPOINT, SUBSCRIPTION_KEY);
// </snippet_client>
Expand Down Expand Up @@ -158,7 +158,7 @@ public static async Task DetectFaceExtract(IFaceClient client, string url, strin
returnFaceAttributes: new List<FaceAttributeType> { FaceAttributeType.Accessories, FaceAttributeType.Age,
FaceAttributeType.Blur, FaceAttributeType.Emotion, FaceAttributeType.Exposure, FaceAttributeType.FacialHair,
FaceAttributeType.Glasses, FaceAttributeType.Hair, FaceAttributeType.HeadPose,
FaceAttributeType.Makeup, FaceAttributeType.Noise, FaceAttributeType.Occlusion, FaceAttributeType.Smile,
FaceAttributeType.Makeup, FaceAttributeType.Noise, FaceAttributeType.Occlusion, FaceAttributeType.Smile,
FaceAttributeType.Smile, FaceAttributeType.QualityForRecognition },
// We specify detection model 1 because we are retrieving attributes.
detectionModel: DetectionModel.Detection01,
Expand Down Expand Up @@ -230,7 +230,7 @@ public static async Task DetectFaceExtract(IFaceClient client, string url, strin
Console.WriteLine($"Occlusion : {string.Format("EyeOccluded: {0}", face.FaceAttributes.Occlusion.EyeOccluded ? "Yes" : "No")} " +
$" {string.Format("ForeheadOccluded: {0}", face.FaceAttributes.Occlusion.ForeheadOccluded ? "Yes" : "No")} {string.Format("MouthOccluded: {0}", face.FaceAttributes.Occlusion.MouthOccluded ? "Yes" : "No")}");
Console.WriteLine($"Smile : {face.FaceAttributes.Smile}");

// Get quality for recognition attribute
Console.WriteLine($"QualityForRecognition : {face.FaceAttributes.QualityForRecognition}");
Console.WriteLine();
Expand All @@ -251,11 +251,13 @@ private static async Task<List<DetectedFace>> DetectFaceRecognize(IFaceClient fa
{
// Detect faces from image URL. Since only recognizing, use the recognition model 1.
// We use detection model 3 because we are not retrieving attributes.
IList<DetectedFace> detectedFaces = await faceClient.Face.DetectWithUrlAsync(url, recognitionModel: recognition_model, detectionModel: DetectionModel.Detection03, FaceAttributes: new List<FaceAttributeType> { FaceAttributeType.QualityForRecognition });
IList<DetectedFace> detectedFaces = await faceClient.Face.DetectWithUrlAsync(url, recognitionModel: recognition_model, detectionModel: DetectionModel.Detection03, returnFaceAttributes: new List<FaceAttributeType> { FaceAttributeType.QualityForRecognition });
List<DetectedFace> sufficientQualityFaces = new List<DetectedFace>();
foreach (DetectedFace detectedFace in detectedFaces){
foreach (DetectedFace detectedFace in detectedFaces)
{
var faceQualityForRecognition = detectedFace.FaceAttributes.QualityForRecognition;
if (faceQualityForRecognition.HasValue && (faceQualityForRecognition.Value >= QualityForRecognition.Medium)){
if (faceQualityForRecognition.HasValue && (faceQualityForRecognition.Value >= QualityForRecognition.Medium))
{
sufficientQualityFaces.Add(detectedFace);
}
}
Expand Down Expand Up @@ -381,7 +383,7 @@ public static async Task Verify(IFaceClient client, string url, string recogniti
* a list of Person objects that each face might belong to. Returned Person objects are wrapped as Candidate objects,
* which have a prediction confidence value.
*/
// <snippet_persongroup_files>
// <snippet_persongroup_files>
public static async Task IdentifyInPersonGroup(IFaceClient client, string url, string recognitionModel)
{
Console.WriteLine("========IDENTIFY FACES========");
Expand Down Expand Up @@ -417,22 +419,24 @@ public static async Task IdentifyInPersonGroup(IFaceClient client, string url, s
foreach (var similarImage in personDictionary[groupedFace])
{
Console.WriteLine($"Check whether image is of sufficient quality for recognition");
IList<DetectedFace> detectedFaces = await client.Face.DetectWithUrlAsync($"{url}{similarImage}",
recognitionModel: recognition_model,
IList<DetectedFace> detectedFacesForTraining = await client.Face.DetectWithUrlAsync($"{url}{similarImage}",
recognitionModel: recognitionModel,
detectionModel: DetectionModel.Detection03,
returnFaceAttributes: new List<FaceAttributeType> { FaceAttributeType.QualityForRecognition });
bool sufficientQuality = true;
foreach (var face in detectedFaces)
foreach (var theFace in detectedFacesForTraining)
{
var faceQualityForRecognition = face.FaceAttributes.QualityForRecognition;
var faceQualityForRecognition = theFace.FaceAttributes.QualityForRecognition;
// Only "high" quality images are recommended for person enrollment
if (faceQualityForRecognition.HasValue && (faceQualityForRecognition.Value != QualityForRecognition.High)){
if (faceQualityForRecognition.HasValue && (faceQualityForRecognition.Value != QualityForRecognition.High))
{
sufficientQuality = false;
break;
}
}

if (!sufficientQuality){
if (!sufficientQuality)
{
continue;
}

Expand Down Expand Up @@ -469,16 +473,20 @@ public static async Task IdentifyInPersonGroup(IFaceClient client, string url, s
// Add detected faceId to sourceFaceIds.
foreach (var detectedFace in detectedFaces) { sourceFaceIds.Add(detectedFace.FaceId.Value); }
// </snippet_identify_sources>

// <snippet_identify>
// Identify the faces in a person group.
var identifyResults = await client.Face.IdentifyAsync(sourceFaceIds, personGroupId);

foreach (var identifyResult in identifyResults)
{
Person person = await client.PersonGroupPerson.GetAsync(personGroupId, identifyResult.Candidates[0].PersonId);
Console.WriteLine($"Person '{person.Name}' is identified for face in: {sourceImageFileName} - {identifyResult.FaceId}," +
$" confidence: {identifyResult.Candidates[0].Confidence}.");
if (identifyResult.Candidates.Count > 0)
{
Person person = await client.PersonGroupPerson.GetAsync(personGroupId, identifyResult.Candidates[0].PersonId);
Console.WriteLine($"Person '{person.Name}' is identified for face in: {sourceImageFileName} - {identifyResult.FaceId}," +
$" confidence: {identifyResult.Candidates[0].Confidence}.");
}

}
Console.WriteLine();
}
Expand Down