Page 21 of 141 (2810 total posts)
03/28 brandonhilkert/sucker_punch: Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday. — brandonhilkert/sucker_punch: Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday. Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday. – brandonhilkert/sucker_punch: Sucker Punch is a Ruby asynchronous proce… March 28, 2022 at 08:14PM
03/24 The Basics of Database Sharding – Brent Ozar Unlimited® — The Basics of Database Sharding – Brent Ozar Unlimited® There are many ways to scale out your database; many of these techniques require advanced management and expensive add-ons or editions. Database sharding is a flexible way of scaling out a database. In this presentation, Jeremiah Peschka explains how to scale out using database sharding, covers basic techniques, and shares some of the pitfalls. This… March 24, 2022 at 03:03PM
03/23 Building Scalable Databases: Pros and Cons of Various Database Sharding Schemes – Dare Obasanjo — Building Scalable Databases: Pros and Cons of Various Database Sharding Schemes – Dare Obasanjo OpiniDatabase sharding is the process of splitting up a database across multiple machines to improve the scalability of an application. The justification for database sharding is that after a certain scale point it is cheaper and more feasible to scale a site horizontally by adding more machines than to grow it vertically by adding beefier servers. March 24, 2022 at 12:33AM
03/23 Sharding your database — Sharding your database I’m increasingly encountering users on Heroku that are encountering the need to shard their data. For most users this is something you delay as long as possible as you can generally go for sometime before you have to worry about it. Additionally scaling up your database is often a reasonable approach early on and something I encourage as a starting point as scaling up is easy to do with regards to databases. However, for the 1% of users that do need to shard when the time comes many are left wondering where to start, hence the following guide. March 24, 2022 at 12:34AM
03/22 The Ultimate Guide to Real-Time Lane Detection Using OpenCV – Automatic Addison — The Ultimate Guide to Real-Time Lane Detection Using OpenCV – Automatic Addison In this tutorial, we will go through the entire process, step by step, of how to detect lanes on a road in real time using the OpenCV computer vision library and Python. By the end of this tutorial, you will know how to build (from scratch) an application that can automatically detect lanes in a video stream from a front-facing camera mounted on a car. You’ll be able to generate this video below. March 22, 2022 at 03:46PM
03/20 Artvee — Artvee Browse and download high-resolution, public domain Paintings, Drawings, Illustrations and Posters. March 20, 2022 at 02:22PM
03/18 Fiducial-Based Localization — Fiducial-Based Localization Tutorials for MagniThis document discusses running our fiducial based navigation software on a Ubiquity Robotics robot base, using the supported Raspberry Pi camera. It also assumes that you have a workstation with ROS installed, which is connected to a network in common with the robot. You will need a printer, too. March 18, 2022 at 08:36PM
03/18 Calibrating a Monocular Camera with ROS – Robotics with ROS — Calibrating a Monocular Camera with ROS – Robotics with ROS ROS use OpenCV for camera calibration but the format that it stores the data is different than OpenCV. Also, you need to know where to place the camera calibration files so ROS can find it and publish it. 1.First, you need to install usb cam package from ROS and uvcdynctrl to disable autofocus: sudo apt-get install ros-kinetic-usb-cam uvcdynctrl 2.Open … Calibrating a Monocular Camera with ROS Read More » March 18, 2022 at 08:38PM
03/18 OpenCV: Detection of ArUco Markers — OpenCV: Detection of ArUco Markers Pose estimation is of great importance in many computer vision applications: robot navigation, augmented reality, and many more. This process is based on finding correspondences between points in the real environment and their 2d image projection. This is usually a difficult step, and thus it is common to use synthetic or fiducial markers to make it easier. March 18, 2022 at 02:24PM