aburguera

Antoni Burguera's repositories

NNSSS

Multi-Class Segmentation of Side-Scan Sonar Data using a Neural Network

Language:Jupyter Notebook12 20

YAP

A basic platformer videogame coded in MC68000 assembly language using the EASy68K environment. It is aimed at providing students an example of medium complexity code.

Language:Assembly8 10

SFIGHTER

A very basic shooter videogame coded in MC68000 assembly language using the EASy68K environment. It is aimed at providing students an example of low complexity code.

Language:Assembly500

YAR

A basic Raycaster coded in MC68000 assembly language using the EASy68K environment. It is aimed at providing students an example of medium-to-high complexity code.

Language:Assembly5 10

QRS_DETECT

QRS detection and ECG data compression.

Language:MATLAB4 20

VISUAL_ODOMETRY_2D

Basic 2D monocular visual odometry assuming a bottom-looking camera and flat floor

Language:Matlab3 20

GSLAM

GraphSLAM front-end aimed at rejecting false loops.

Language:Python2 20

MULTISLAM_2D

Multi-session monocular visual SLAM assuming a bottom-looking camera and flat floor.

Language:Matlab200

VISUAL_SLAM_2D

Basic 2D monocular visual SLAM assuming a bottom-looking camera and flat floor.

Language:Matlab200

NNLOOP

Visual Loop Closing using Neural Networks

Language:Python100

AUTOENCODER

Convolutional Autoencoder using Keras and Tensorflow

Language:Python020

MC68000

MC68000 assembly language examples and snippets written for the EASy68K simulator

Language:Assembly000

MOSAICDATASET

Create object detection datasets from a labeled large image or mosaic.

Language:Python010

ODUTILS

Object detection metrics (mAP, Precision, Recall, ...) and utilities and YOLOv5 simple wrapper.

Language:Python000

PHCENCODER

Progressive Hierarchical Image Compression and Encoding

Language:Python000

POD_ROS

Visual Posidonia Oceanica Detector - ROS version

Language:C++000

POD_STANDALONE

Visual Posidonia Oceanica Detector - Standalone Version

Language:C++000

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Language:PythonNOASSERTION000

RLELIB

RLELib: A Library for Lossy RLE (LRLE) compression

Language:Python000

RRI_PROCESSOR

RRI correction in scenarios with intervals of extreme noise.

Language:MATLAB010

SNNLOOP

Siamese Neural Network for Visual Loop Detection

Language:Python020

UCAMGEN

Underwater Camera Dataset Generator

Language:MATLAB000

yolov5

YOLOv5

GPL-3.0000

yolov5-object-tracking

YOLOv5 Object Tracking + Detection + Object Blurring + Streamlit Dashboard Using OpenCV, PyTorch and Streamlit

Language:PythonGPL-3.0000