Elsa Sejdi's repositories
Academy_02
Repository test for Academy
augmented-reality
Computer vision project focused on augmented reality using marker detector and pose estimation.
binary-video-segmentation
This project aims at performing a segmentation of each frame of 4 given videos using two possible methods, one based on multiple OpenCv tools, and one on the OpenCV's Watershed implementation.
cat-vs-dog-classifier
The goal of this project is to devise an accurate CNN-based classifier able to distinguish between Cat and Dog in images where the animal is predominant.
polygonal-markers-detector
The goal of this project is to detect, for each frame of any video belonging to the given dataset, the round markers appearing on the turn-table in the video. Such markers are detected, identified and their position and identities are stored as an output.
weisfeiler-and-manifold-techniques-svm
The goal here is to use a graph kernel and a manifold learning technique in conjunction with Support Vector Machines to enhance the SVM classification.