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.

You thought your family was going to be talking about web3 this Thanksgiving. But they’re actually talking about ebikes. Let’s help you prepare. Ebikes are about to change the world. They are already the best selling electric vehicles, and are selling as fast as factories can make them.

Browse and download high-resolution, public domain Paintings, Drawings, Illustrations and Posters.

Looks great, but I have not tried it! Foxglove Studio is a visualization and debugging tool for your robotics data, conveniently packaged as a desktop app.

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 »

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.

Great information about how to use Fiducials for simple following and navigation

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.

Computer Vision, Deep Learning, and OpenCV courses from PyImageSearch and Dr. Adrian Rosebrock

This post is designed to help you form a solid mental model while working with Git both professionally and in an open source project, and how to ensure you are following best practices to make the process easier for everyone.

Manual for my denon receiver

This blog post is about handling bad performance in PostgreSQL and shows three useful and quick methods to spot performance problems and slow queries.

QuickLook plugins and packages. Contribute to haokaiyang/Mac-QuickLook development by creating an account on GitHub.

While Sinatra’s one-file approach may work well for your one-off, smaller application – it can quickly become a mess as you add on multiple routes, route-handlers, helpers, and configuration.…

When I was a Rails beginner I was amazed by Rails and Test Driven Development. But I often struggled with testing because I did not know…

N+1 queries are making your Rails app painfully slow. Learn how to eliminate them from your project.

Fiducial computer vision library for ROS.

Standard way of pulling images off the camea and into opencv for ROS

OpenCV with ROS using Python URL: https://dabit-industries.github.io/turtlebot2-tutorials/14b-OpenCV2_Python.html Type: link Domain: dabit-industries.github.io

In this guide you will learn how to use the YOLO object detector to detect objects in images and video using OpenCV, Python, and Deep Learning.