Introduction Super-resolution refers to the process of upscaling or improving the details of the image. Follow this blog to learn the options for Super Resolution in OpenCV. When increasing the ...
In many of our previous posts, we used OpenCV DNN Module, which allows running pre-trained neural networks. One of the module's main drawback is its limited CPU-only inference use since it was ...
In this post, we will be installing OpenCV on Windows for C++ and Python. The C++ installation is done with the help of custom setup exe files. Whereas Python installation is done with ...
In this post, we will discuss about two Deep Learning based approaches for motion estimation using Optical Flow. FlowNet is the first CNN approach for calculating Optical Flow and RAFT which is the ...
In this post, we'll create the game of Tetris as shown in the video above. Tetris Most readers are probably familiar with Tetris - a popular and addictive video game created by Russian software ...
In this post, we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch. In the previous post We discussed what ONNX and TensorRT are ...
