| Tutorial, HALCON

HALCON's Deep-Learning-Based Object Detection 4: Apply the Model (Inference)

In the last part of this tutorial series on HALCON's object detection, we will apply the model we trained and evaluated previously.

You will learn about some parameters that you can tweak for optimal performance, and how to further process the output you get from your model.

Screenshot deep-learning-based object detection inference

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Watch our other videos about  HALCON's Deep-Learning-Based Object Detection:

1. Introduction & Preparation of the Dataset

2. Train a model

3. Evaluate the Trained Model