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 ...
RAFT: Optical Flow estimation using Deep Learning
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 ...
Depth Estimation using Stereo matching
Depth estimation is a critical task for autonomous driving. It's necessary to estimate the distance to cars, pedestrians, bicycles, animals, and obstacles.The popular way to estimate depth is LiDAR. ...
Deep Learning based Text Detection Using OpenCV (C++/Python)
There is a common saying, "A picture is worth a thousand words". In this post, we are going to take that literally and try to find the words in a picture! In an earlier post about Text Recognition, we ...
Convolutional Neural Network, CNN based Image Colorization using OpenCV
Sometimes technology enhances art. Sometimes it vandalizes art. Colorizing black and white films is a very old idea dating back to 1902. For decades many movie creators opposed the idea of ...
