April 15, 2020 | Tutorial, HALCON

HALCON's deep-learning-based object detection 4: apply the model (inference)

In this tutorial, we use a trained deep-learning object detection model in MVTec HALCON for inference and show how to process and validate the detected objects.

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.

Please note: Once you watch the video, data will be transmitted to Youtube/Google. For more information, see Google Privacy.

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

Published on: April 15, 2020

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