In this post, we will learn how to apply a proposed method to make a classification network performs both object classification and object localization in a single forward-pass.
In this post, we will learn how to train YOLOv3 on a custom dataset using the Darknet framework and also how to use the generated weights with OpenCV DNN module to make an object detector.
In this post, we will learn how to build a custom object detector using Yolo. For example, I made a detector to detect my Rubik’s Cube.