internal IEnumerator GetTagsFromCloud()
{
Tags = new List <string>();
// Retrieving the Tags
string getTagIdEndpoint = string.Format("{0}{1}/tags", url, projectId);
using (UnityWebRequest www = UnityWebRequest.Get(getTagIdEndpoint))
{
www.SetRequestHeader("Training-Key", trainingKey);
www.downloadHandler = new DownloadHandlerBuffer();
yield return(www.SendWebRequest());
string jsonResponse = www.downloadHandler.text;
Tags_RootObject tagRootObject = JsonConvert.DeserializeObject <Tags_RootObject>(jsonResponse);
foreach (TagOfProject tOP in tagRootObject.Tags)
{
Tags.Add(tOP.Name);
}
}
}
/// <summary>
/// Call the Custom Vision Service to submit the image.
/// </summary>
public IEnumerator SubmitImageForTraining(string imagePath, string tag)
{
yield return(new WaitForSeconds(2));
trainingUI_TextMesh.text = $"Submitting Image \nwith tag: {tag} \nto Custom Vision Service";
string imageId = string.Empty;
string tagId = string.Empty;
// Retrieving the Tag Id relative to the voice input
string getTagIdEndpoint = string.Format("{0}{1}/tags", url, projectId);
using (UnityWebRequest www = UnityWebRequest.Get(getTagIdEndpoint))
{
www.SetRequestHeader("Training-Key", trainingKey);
www.downloadHandler = new DownloadHandlerBuffer();
yield return(www.SendWebRequest());
string jsonResponse = www.downloadHandler.text;
Tags_RootObject tagRootObject = JsonConvert.DeserializeObject <Tags_RootObject>(jsonResponse);
foreach (TagOfProject tOP in tagRootObject.Tags)
{
if (tOP.Name == tag)
{
tagId = tOP.Id;
}
}
}
// Creating the image object to send for training
List <IMultipartFormSection> multipartList = new List <IMultipartFormSection>();
MultipartObject multipartObject = new MultipartObject();
multipartObject.contentType = "application/octet-stream";
multipartObject.fileName = "";
multipartObject.sectionData = GetImageAsByteArray(imagePath);
multipartList.Add(multipartObject);
string createImageFromDataEndpoint = string.Format("{0}{1}/images?tagIds={2}", url, projectId, tagId);
using (UnityWebRequest www = UnityWebRequest.Post(createImageFromDataEndpoint, multipartList))
{
// Gets a byte array out of the saved image
imageBytes = GetImageAsByteArray(imagePath);
//unityWebRequest.SetRequestHeader("Content-Type", "application/octet-stream");
www.SetRequestHeader("Training-Key", trainingKey);
// The upload handler will help uploading the byte array with the request
www.uploadHandler = new UploadHandlerRaw(imageBytes);
// The download handler will help receiving the analysis from Azure
www.downloadHandler = new DownloadHandlerBuffer();
// Send the request
yield return(www.SendWebRequest());
string jsonResponse = www.downloadHandler.text;
ImageRootObject m = JsonConvert.DeserializeObject <ImageRootObject>(jsonResponse);
imageId = m.Images[0].Image.Id;
}
trainingUI_TextMesh.text = "Image uploaded";
StartCoroutine(TrainCustomVisionProject());
}
