Hi to everyone!!! I am pretty new to OpenCV and object detection algorithm., i was able to run some code examples with face detection and recognition using openCV and haarcascades classifiers, but i suppose this methods are “deprecated” and more stable algorithms are based on deep learning and neural networks. When i start to investigate this question i stucked with a huge variations and combinations of deep learning algorithms and i don’t really know from what point to start and what is the best choise for me…
My goal is to make a face mask detection software based on OpenCV and deep learning network model using C++ language (please don’t suggest python).
Could you please help me to find the best combination for my task? I need the whole pipeline: building and training my own deep learning neural network model from scratch (or get pretrained), run openCV detection with that model.
Thank you very much!!! I working on cross platform C++ project in windows PC using Visual Studio 2019.