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Training Microsoft Custom Vision model via rest api


Training Microsoft Custom Vision model via rest api

By : Oladayo Noah Akintol
Date : November 21 2020, 07:01 PM
it fixes the issue I got it working using the "API testing console" feature, so I can help you to identify your issue (but sorry, I'm not expert in node.js so I will guide you with C# code)
Format of content for API
code :
public ImageFileCreateEntry(string name = default(string), byte[] contents = default(byte[]), IList<System.Guid> tagIds = default(IList<System.Guid>))
// Or uploaded in a single batch 
var imageFiles = japaneseCherryImages.Select(img => new ImageFileCreateEntry(Path.GetFileName(img), File.ReadAllBytes(img))).ToList();
trainingApi.CreateImagesFromFiles(project.Id, new ImageFileCreateBatch(imageFiles, new List<Guid>() { japaneseCherryTag.Id }));
Image img = Image.FromFile(@"\\Mac\Home\Downloads\Picto.jpg");
byte[] arr;
using (MemoryStream ms = new MemoryStream())
{
    img.Save(ms, System.Drawing.Imaging.ImageFormat.Jpeg);
    arr = ms.ToArray();
}

var content = Convert.ToBase64String(arr);
POST https://southcentralus.api.cognitive.microsoft.com/customvision/v2.2/Training/projects/MY_PROJECT_ID/images/files HTTP/1.1
Host: southcentralus.api.cognitive.microsoft.com
Training-Key: MY_OWN_TRAINING_KEY
Content-Type: application/json

{
  "images": [
    {
      "name": "imageSentByApi",
      "contents": "/9j/4AAQSkZJRgA...TOO LONG FOR STACK OVERFLOW...",
      "tagIds": [],
      "regions": []
    }
  ],
  "tagIds": []
}
{
  "isBatchSuccessful": true,
  "images": [{
    "sourceUrl": "imageSentByApi",
    "status": "OK",
    "image": {
      "id": "GENERATED_ID_OF_IMAGE",
      "created": "2018-11-05T22:33:31.6513607",
      "width": 328,
      "height": 328,
      "resizedImageUri": "https://irisscuprodstore.blob.core.windows.net/...",
      "thumbnailUri": "https://irisscuprodstore.blob.core.windows.net/...",
      "originalImageUri": "https://irisscuprodstore.blob.core.windows.net/..."
    }
  }]
}


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Is there a way to see estimated time for training a model in Google AutoML Vision?

Is there a way to see estimated time for training a model in Google AutoML Vision?


By : user2254595
Date : March 29 2020, 07:55 AM
I hope this helps . The time required to train your model will completely depends and vary based on the amount of data included within your dataset and the accuracy desired for your model; therefore, I think it is not possible to determine the number of hours needed to complete the training phase. The GCP pricing documentation mentions the following suggestion:
Azure custom vision choose training time

Azure custom vision choose training time


By : john
Date : March 29 2020, 07:55 AM
this one helps. i'm using API to load my data and make prediction. I have seen documentation to train model using code (https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/python-tutorial) but I can't figure how to chose training time of my model using the API? , Basically to queue project for training, you have to use below API :
code :
POST {Endpoint}/customvision/v3.0/training/projects/{projectId}/train?trainingType={trainingType}&reservedBudgetInHours={reservedBudgetInHours}&forceTrain={forceTrain}&notificationEmailAddress={notificationEmailAddress}
train_project(project_id, training_type=None, reserved_budget_in_hours=0, force_train=False, notification_email_address=None, custom_headers=None, raw=False, **operation_config)
What is the format for the training/testing data for a Computer Vision model

What is the format for the training/testing data for a Computer Vision model


By : user3585636
Date : March 29 2020, 07:55 AM
it should still fix some issue Yolo version 3 is a good starting point. The trained model will have a .weight file and a .cfg file which can be used to detect object from webcam, video in computer or, in Android with opencv.
In opencv python, cv.dnn.readNetFromDarknet("yolov3_tiny.cfg", "CarDetector.weights") can be used load the trained model.
code :
String tinyYoloCfg = getPath("yolov3_tiny.cfg", this);
String tinyYoloWeights = getPath("CarDetector.weights", this);
Net tinyYolo = Dnn.readNetFromDarknet(tinyYoloCfg, tinyYoloWeights);
Get project ID without using training module on custom vision?

Get project ID without using training module on custom vision?


By : Izabela Horvath
Date : March 29 2020, 07:55 AM
Any of those help The simplest way to get the project url from the website is to open the project in a browser and look at the URL; the project id is the GUID listed after /projects: customvision.ai/projects/#/manage
(Microsoft Azure custom vision service: Object Detection) How to find bounding box info of training data?

(Microsoft Azure custom vision service: Object Detection) How to find bounding box info of training data?


By : Jonida Shaptej
Date : October 13 2020, 08:00 AM
seems to work fine All the data that you are looking for is available through Custom Vision Training API. Currently the latest API is v3.0, its portal is here.
More in details, GetTaggedImages method will give you the associations of images and regions bounding box
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