public void TestFaceDetectFromBytesImage()
{
byte[] arrBytes = GetImageAsByteArray("imageTest/img1.jpg");
using (FaceDetect faceDetect = new FaceDetect(LocationServerApiAzure.EastUS))
{
faceDetect.SuscriptionKey = "Api Key Azure Cognitive Services";
ResponseFaceDetect responseFaceDetect = faceDetect.GetFacesFromImageInDisk("Path The Image").Result;
}
}
private async void btnSelectImage_Click(object sender, EventArgs e)
{
if (IsBusy)
{
return;
}
if (dialogOpen.ShowDialog() == DialogResult.OK)
{
dataFaces.Rows.Clear();
IsBusy = true;
btnSelectImage.Text = "Loading...";
pictureUsed.ImageLocation = dialogOpen.FileName;
using (FaceDetect faceDetect = new FaceDetect(LocationServerApiAzure.EastUS))
{
faceDetect.SuscriptionKey = "Api Azure Key";
ResponseFaceDetect responseFaceDetect = await faceDetect.GetFacesFromImageInDisk(dialogOpen.FileName);
if (responseFaceDetect.IsSuccess)
{
foreach (var face in responseFaceDetect.Faces)
{
dataFaces.Rows.Add(face.faceAttributes.gender, face.faceAttributes.age);
}
}
else
{
MessageBox.Show(responseFaceDetect.Error.Message);
}
}
btnSelectImage.Text = "Select Image";
IsBusy = false;
}
}
private async Task <ResponseFaceDetect> MakeAnalysisRequest(byte[] imageBytes)
{
ResponseFaceDetect response = new ResponseFaceDetect();
try
{
using (HttpClient client = new HttpClient())
{
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", SuscriptionKey);
string requestParameters = GetParamsForApi();
string uri = $"{UriApiAzure}{requestParameters}";
HttpResponseMessage responseApi;
using (ByteArrayContent content = new ByteArrayContent(imageBytes))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
responseApi = await client.PostAsync(uri, content);
string contentString = await responseApi.Content.ReadAsStringAsync();
response.JsonFromApiAzure = contentString;
response.Faces = Newtonsoft.Json.JsonConvert.DeserializeObject <List <Face> >(contentString);;
}
}
}
catch (Exception ex)
{
response.IsSuccess = false;
response.Error = ex;
}
return(response);
}
