Computer Vision by using C++ and OpenCV with GPU support

In this video, you will see the different ways to install Nvidia driver on Ubuntu 18.04. If you wanna how i installed the driver directly in easier way, you can skip 05:20 :)

Note: install cuda toolkit 10.2 for Nvidia optical flow support

error fix while compiling opencv with cudaoptflow

error: no such file nvOpticalFlowCommon.h

Copy header files from OpticalFlowSDK/NvOFInterface/   to opencv_contrib/modules/cudaoptflow/src

This is to be able run deep learning based dense optical flow implementation flownet 2.0

You will learn how to eliminate wrong detections (False Positives) in foreground detection for background movements.

You will see an example for Pytorch C++ API. We will save a model for feature extraction in the Python, and then use that model in C++.

By using extracted features, we will classify two target objects.