Deep learning is now used to solve many different CV problems. A typical approach is to train a separate network for each specific task. However,...

OpenCV is used extensively in computer vision, tackling almost all major computer vision problems. Many Modern CV applications work with video...

OCR (Optical Character Recognition), a technology which targets recognizing text in images automatically, contains the following parts: document...

Upgrade and optimize existing RANSAC version that I have integrated two years ago. I know the structure of a code and how it works so it should not...

This proposal aims to develop an efficient data augmentation module for OpenCV that supports both basic image manipulation approaches and deep...

For FIRST Robotics platform, there is no highly integrated and developer-friendly reference vision platform that exists at an affordable price (i.e....

Object detection has made great progress in the past few years along with the development of deep learning. However, most current object detection...

There is a RISC-V Vector backend in OpenCV universal intrinsic, but the performance is very poor and only supported fixed vector size with 128 bit....

This proposal contains several improvements over the image codecs, provides a new API for reading the image header separately from the image data,...

Project Light-OCR aims at providing lightweight OCR(optical character recognition) for the users of OpenCV. The whole process includes lightweight...