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Luis Braca's Projects

orb_slam3 icon orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

pf icon pf

PF: a header only template library for fast particle filtering!

pix2pix icon pix2pix

Image-to-image translation with conditional adversarial nets

pix2pixhd icon pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

planenet icon planenet

PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

planercnn icon planercnn

PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image

planetr3d icon planetr3d

[ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch3d icon pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

ransac-flow icon ransac-flow

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

recurring-content-detector icon recurring-content-detector

Unsupervised detection of opening / closing credits, recaps, and previews in video files πŸŽ₯🍿🎬

roam icon roam

Implementation of the state-of-the-art video-segmentation / rotoscoping tool described in the CVPR 2017 paper ROAM: a Rich Object Appearance Model with Application to Rotoscoping

ros2_explorer icon ros2_explorer

In this repo we use Turtlebot 3 along with ROS 2 and Gazebo to explore an unknown csv environment, navigate through it and create a map

ros_autonomous_slam icon ros_autonomous_slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

scene-boundary-detection icon scene-boundary-detection

Implementation of the paper 'Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks' from scratch.

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