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. 0:32 – Adapt the batch size for ideal performance 1:00 – Inference workflow 1:25 – Process and visualize the output In this video, HALCON 19.11 is used. www.mvtec.com www.halcon.com