BitmapOnnxPrediction

BitmapOnnxPrediction is a C# application that demonstrates how to classify bitmap images using a pre-trained ONNX model from Azure's Custom Vision service with the help of ML.NET.

The Custom Vision service is one of the Azure Cognitive Services provided by Microsoft. With Custom Vision, you can train a model with your own image data. While the portal provides a Prediction API to classify images, there might be scenarios where an offline model is preferred for reasons such as performance, connectivity, security, and costs.

Features

Load and preprocess images suitable for ONNX model prediction.
Classify bitmap images using a pre-trained ONNX model.
Display the classification label in the console.

Getting Started

Prerequisites

.NET SDK
Microsoft.ML NuGet package
An ONNX model from the Azure Custom Vision portal. If you don't have a model yet, consider following the quickstart on "How to build a classifier with Custom Vision".

Setup

Clone the repository:

git clone https://github.com/eNeRGy164/BitmapOnnxPrediction.git

Navigate to the project directory and build the solution:
```
cd BitmapOnnxPrediction/src
dotnet build
```
Run the application:
```
dotnet run
```

Note: Ensure you have the "model.onnx" file in the appropriate directory as indicated in the code.

Steps Covered in the Blog Post

Exporting the trained model: Learn how to obtain the model from the custom vision portal.
Setting up the application: Get insights about setting up the application.
Adding support classes: Understand the necessary support classes for the application.
Building the prediction engine: Dive deep into how the prediction engine is constructed.
Classifying a bitmap: Follow the final steps to classify a bitmap.

For a detailed walkthrough, refer to the blog post.

License

This project is licensed under the MIT License. See the LICENSE file for details.