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Copy file name to clipboardExpand all lines: articles/cognitive-services/Custom-Vision-Service/csharp-tutorial-od.md
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## Understand the code
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Open the _Program.cs_ file and inspect the code. Insert your subscription keys in the appropriate definitions in the **Main** method.
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Open the _Program.cs_ file and inspect the code. [Create environment variables](https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account#configure-an-environment-variable-for-authentication) for your training and prediction keys named `CUSTOM_VISION_TRAINING_KEY` and `CUSTOM_VISION_PREDICTION_KEY`, respectively. The script will look for these.
The Endpoint parameter should point to the region where the Azure resource group containing the Custom Vision resources was created in. For this example, we assume the South Central US region and use:
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Also, get your Endpoint URL by selecting your Custom Vision resource in the Azure portal. Save it to an environment variable called `CUSTOM_VISION_ENDPOINT`. The script saves a reference to it at the root of your class.
This next bit of code creates an object detection project. The created project will show up on the [Custom Vision website](https://customvision.ai/) that you visited earlier. See the [CreateProject](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.vision.customvision.training.customvisiontrainingclientextensions.createproject?view=azure-dotnet#Microsoft_Azure_CognitiveServices_Vision_CustomVision_Training_CustomVisionTrainingClientExtensions_CreateProject_Microsoft_Azure_CognitiveServices_Vision_CustomVision_Training_ICustomVisionTrainingClient_System_String_System_String_System_Nullable_System_Guid__System_String_System_Collections_Generic_IList_System_String__) method to specify other options when you create your project (explained in the [Build a detector](get-started-build-detector.md) web portal guide).
When you tag images in object detection projects, you need to specify the region of each tagged object using normalized coordinates. The following code associates each of the sample images with its tagged region.
At this point, all of the sample images have been uploaded, and each has a tag (**fork** or **scissors**) and an associated pixel rectangle for that tag.
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### Train the project
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This code creates the first training iteration in the project.
The name given to the published iteration can be used to send prediction requests. An iteration is not available in the prediction endpoint until it is published.
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```csharp
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// The iteration is now trained. Publish it to the prediction end point.
Copy file name to clipboardExpand all lines: articles/cognitive-services/Custom-Vision-Service/csharp-tutorial.md
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## Understand the code
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Open the _Program.cs_ file and inspect the code. Insert your subscription keys in the appropriate definitions in the **Main** method.
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Open the _Program.cs_ file and inspect the code. [Create environment variables](https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account#configure-an-environment-variable-for-authentication) for your training and prediction keys named `CUSTOM_VISION_TRAINING_KEY` and `CUSTOM_VISION_PREDICTION_KEY`, respectively. The script will look for these.
The Endpoint parameter should point to the region where the Azure resource group containing the Custom Vision resources was created in. For this example, we assume the South Central US region and use:
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Also, get your Endpoint URL by selecting your Custom Vision resource in the Azure portal. Save it to an environment variable called `CUSTOM_VISION_ENDPOINT`. The script saves a reference to it at the root of your class.
The following lines of code execute the primary functionality of the project.
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### Create a new Custom Vision service project
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The created project will show up on the [Custom Vision website](https://customvision.ai/) that you visited earlier. See the [CreateProject](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.vision.customvision.training.customvisiontrainingclientextensions.createproject?view=azure-dotnet#Microsoft_Azure_CognitiveServices_Vision_CustomVision_Training_CustomVisionTrainingClientExtensions_CreateProject_Microsoft_Azure_CognitiveServices_Vision_CustomVision_Training_ICustomVisionTrainingClient_System_String_System_String_System_Nullable_System_Guid__System_String_System_Collections_Generic_IList_System_String__) method to specify other options when you create your project (explained in the [Build a classifier](getting-started-build-a-classifier.md) web portal guide).
The images for this project are included. They are referenced in the **LoadImagesFromDisk** method in _Program.cs_. You can upload up to 64 images in a single batch.
This code creates the first iteration in the project and then publishes that iteration to the prediction endpoint. The name given to the published iteration can be used to send prediction requests. An iteration is not available in the prediction endpoint until it is published.
### Submit an image to the default prediction endpoint
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In this script, the test image is loaded in the **LoadImagesFromDisk** method, and the model's prediction output is to be displayed in the console. The value of the publishedModelName variable should correspond to the "Published as" value found on the Custom Vision portal's **Performance** tab.
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