private async void OnTagSelectionChanged(object sender, SelectionChangedEventArgs e)
{
if (this.projectTagsListView.SelectedValue != null)
{
this.SelectedTag = this.projectTagsListView.SelectedValue as ImageTagModel;
await this.LoadTagImagesFromService();
}
else
{
this.SelectedTagImages.Clear();
}
}
private async Task CreateTagAsync(string name)
{
try
{
ImageTagModel result = await trainingApi.CreateTagAsync(this.CurrentProject.Id, name);
this.TagsInCurrentGroup.Add(result);
this.needsTraining = true;
this.DismissFlyout();
}
catch (Exception e)
{
await Util.GenericApiCallExceptionHandler(e, "Failure creating tag");
}
}
private async void UploadButton_Click(object sender, RoutedEventArgs e)
{
if (urls.Count > 0)
{
ImageUrlCreateBatch createBatch = new ImageUrlCreateBatch();
ImageTagModel imageTagModel = (ImageTagModel)tagsComboBox.SelectedItem;
createBatch.TagIds = new List <Guid> {
imageTagModel.Id
};
createBatch.Urls = urls;
await MainWindow.currentWindow.UploadOnlineImage(projectId, createBatch);
ProjectPage projectPage = (ProjectPage)MainWindow.currentWindow.mainFrame.Content;
projectPage.RefreshTags();
Window.GetWindow(this).Close();
}
}
private void UploadButton_Click(object sender, RoutedEventArgs e)
{
string[] fileNames = (string[])ImageListBox.ItemsSource;
Task[] tasks = new Task[fileNames.Length];
ImageTagModel imageTagModel = (ImageTagModel)tagsComboBox.SelectedItem;
for (int i = 0; i < fileNames.Length; i++)
{
FileStream fileStream = File.Open(fileNames[i], FileMode.Open, FileAccess.Read, FileShare.ReadWrite);
tasks[i] = MainWindow.currentWindow.UploadImage(projectId, fileStream, new List <string> {
imageTagModel.Id.ToString()
});
}
Task.WaitAll(tasks);
ProjectPage projectPage = (ProjectPage)MainWindow.currentWindow.mainFrame.Content;
projectPage.RefreshTags();
Window.GetWindow(this).Close();
}
private void TagListView_SelectionChanged(object sender, SelectionChangedEventArgs e)
{
ImageTagModel imageTagModel = (ImageTagModel)TagListView.SelectedItem;
if (imageTagModel != null)
{
List <string> imageTagList = new List <string>();
imageTagList.Add(imageTagModel.Id.ToString());
int take = imageTagModel.ImageCount;
if (take > 0)
{
List <ImageModel> imageList = MainWindow.currentWindow.GetTaggedImages(projectId, imageTagList, take);
ImageListBox.ItemsSource = imageList;
}
else
{
ImageListBox.ItemsSource = new List <ImageModel>();
}
}
}
private void ConfirmButton_Click(object sender, RoutedEventArgs e)
{
if (String.IsNullOrEmpty(tagNameTextBox.Text))
{
tipTextBlock.Text = "请输入Tag Name";
return;
}
try
{
ImageTagModel tagModel = MainWindow.currentWindow.NewTag(page.GetProjectId(), tagNameTextBox.Text);
}
catch
{
tipTextBlock.Text = "新增Tag失败，检查是否已经存在该Tag";
return;
}
page.RefreshTags();
this.Close();
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = null)] HttpRequestMessage req, TraceWriter log)
{
try
{
var allTags = new List <string>();
var json = req.Content.ReadAsStringAsync().Result;
var jobj = JObject.Parse(json);
var tags = (JArray)jobj["tags"];
var term = jobj["term"].ToString();
var projectId = jobj["projectId"].ToString();
var trainingKey = jobj["trainingKey"].ToString();
var offset = 0;
if (jobj["offset"] != null)
{
offset = (int)jobj["offset"];
}
var imageUrls = await SearchForImages(term, offset);
var api = new TrainingApi(new TrainingApiCredentials(trainingKey));
var project = api.GetProject(Guid.Parse(projectId));
var tagModels = new List <ImageTagModel>();
var existingTags = api.GetTags(project.Id);
foreach (string tag in tags)
{
ImageTagModel model = existingTags.Tags.SingleOrDefault(t => t.Name == tag);
if (model == null)
{
model = api.CreateTag(project.Id, tag.Trim());
}
tagModels.Add(model);
}
var batch = new ImageUrlCreateBatch(tagModels.Select(m => m.Id).ToList(), imageUrls);
var summary = api.CreateImagesFromUrls(project.Id, batch);
//if(!summary.IsBatchSuccessful)
// return req.CreateErrorResponse(HttpStatusCode.BadRequest, "Image batch was unsuccessful");
//Traing the classifier and generate a new iteration, that we'll set as the default
var iteration = api.TrainProject(project.Id);
while (iteration.Status == "Training")
{
Thread.Sleep(1000);
iteration = api.GetIteration(project.Id, iteration.Id);
}
iteration.IsDefault = true;
api.UpdateIteration(project.Id, iteration.Id, iteration);
return(req.CreateResponse(HttpStatusCode.OK, iteration.Id));
}
catch (Exception e)
{
var exception = e.GetBaseException();
return(req.CreateErrorResponse(HttpStatusCode.BadRequest, exception.Message));
}
async Task <List <string> > SearchForImages(string term, int offset)
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "c2adf0e5c057447ea9e0f50cc5202251");
var uri = $"https://api.cognitive.microsoft.com/bing/v7.0/images/search?count=50&q={term}&offset={offset}";
var json = await client.GetStringAsync(uri);
var jobj = JObject.Parse(json);
var arr = (JArray)jobj["value"];
var list = new List <string>();
foreach (var result in arr)
{
list.Add(result["contentUrl"].ToString());
}
return(list);
}
}
