This tutorial will learn you how to use deep neural networks by Yolo Darknet to detect multiple classes of objects in OpenCV 4+ c++. The code is under 100 lines of simple code. The code is using yolov3-tiny.weights of neural network and appropriate configuration yolov3-tiny.cfg loaded by opencv DNN module from contribution library. The code is presented as simple as possible, without the staff nice to have, but not necessary to understand the flow of the code.
The step by step tutorial will describe how to load yolo model and evaluate in opencv dnn module up to display the result from neural network processing. You can detect multiple class like persons and more.
The full description available here Full code included:
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