Morning Brief is an app designed to keep you up-to-date with quick, easy-to-read summaries of the latest news, so you can get the key points fast without digging through long articles. It’s built for people with busy lives who still want to stay informed.
Brief Text Editor Emulator and Keymap for IntelliJ IDEA. This IntelliJ IDEA extension adds key bindings and functionality that attempts to emulate many features of the original BRIEF MS-DOS application.
Comparative Evaluation of Feature Descriptors Through Bag of Visual Features with Multilayer Perceptron on Embedded GPU System, published in 17th IEEE Latin American Robotics Symposium/8th Brazilian Symposium of Robotics (LARS/SBR 2020)
KartScanner is a responsive e-commerce platform that lets users search and view products with ease. Featuring a real-time search bar, interactive product listings, and seamless navigation, KartScanner ensures a smooth shopping experience on both desktop and mobile devices.
BRIEF 3.1 text editor compatible and more, on JED
Patched-jed for cbrief (BRIEF 3.1 text editor compatible and more, on JED); Part of jedc-macros
Creates a PDF with a letter window (+ contents you specify) only
Собрал здесь некоторые шпаргалки и инструкции для продуктивной работы.
A Quarto template for a DIN 5008 letter
Brief Text Editor Emulator and Keymap for Intellij IDEA. This repository contains components common to all IntelliJ IDEA platform versions. These components are symbolically linked into each target platform build. See "rkdawenterprises/brief4ijidea" project for the rest.
Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).
Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.
A curated this list of briefing questions that need to be cleared to lay out a game plan to work on a client's infrastructure, migrate applications to the cloud and so on.
This project was developed for the Computer Vision course of the Master Degree Artificial Intelligence Systems at the University of Trento.
Deutsche Latex-Briefvorlage nach DIN 5008 auf Basis von KOMA-Script scrlttr2
Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV
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