ML.NET version | API type | Status | App Type | Data type | Scenario | ML Task | Algorithms |
---|---|---|---|---|---|---|---|
v1.1.0 | Dynamic API | up-to-date | Console app | Images and text labels | Images classification | TensorFlow model | DeepLearning model |
The problem is how to run/score a TensorFlow model in a web app/service while using in-memory images.
The model (model.pb
) is trained using TensorFlow as disscussed in the blogpost Run with ML.NET C# code a TensorFlow model exported from Azure Cognitive Services Custom Vision.
see the below architecture that shows how to run/score TensorFlow model in ASP.NET Core Razor web app/service
The difference between getting started sample and this end-to-end sample is that the images are loaded from file in getting started sample where as the images are loaded from in-memory in this end-to-end sample.
Note: this sample is trained using Custom images and it predicts the only specific images that are in TestImages Folder.