This is an assignment for our computer vision course. It uses py-Qt5 to make GUI and open-cv to detect feature points and match them. Finally, it outputs an image which is stitched by two images. Part of this code comes from the Internet. Thanks for their unselfish dedication.
A package for registration of wide range astronomical images of stars, galaxies and clusters using SIFT, FLANN and RANSAC algorithms for extreme precision applications
Person re-identification project with three suggested models, which implemented using yolo, opencv, tensorflow, etc.
Aligning two objects in 2 images.
Product Recognition on Store Shelves with Traditional Computer Vison tecnhiques
Computer Vision-based Tracking
Creating a panoramic view using 2 pictures which diides the rigion into different parts
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