A multimedia search engine built using face embeddings and multidimensional indexing techniques for efficient retrieval of face images
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Updated
May 28, 2024 - Python
A multimedia search engine built using face embeddings and multidimensional indexing techniques for efficient retrieval of face images
Project 3 for Databases 2 Course: Image similarity search using different KNN techniques.
High dimensional indexing of image data using rtree, implemented to find similar images in the indexed dataset
Mesh proximity queries based on libspatialindex and rtree, extracted from Trimesh
WebApp implementada en Python, Flask y OpenCV para realizar búsquedas espaciales (KNN) sobre el dataset Labeled Faces in the Wild almacenado en una estructura RTree, encodificando los vectores característicos de un rostro arbitrario para realizar una búsqueda eficiente.
Fast distances in Python
R-tree construction through bulk loading in the context of Complex Data Management course
Advanced Line Follower using Machine Learning
Python wrapper for Boost Geometry Rtree
ASCII map of the world using Python
O(N log N) Poisson Disc Sampling with Various Radius
Implement rtree range queries and nearest neighbour queries
Flask server communication using Python <--->Arduino IoT node which sends location update via GSM on HTTP
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