Freaks City

Developing a Complete Automated Parking Management Solution A full-featured unmanned parking solution featuring license plate detection, automatic billing, and gate control Project Overview and Significance As urbanization accelerates and vehicle ownership grows, parking lot management faces challenges like low efficiency, high labor costs, ...

When migrating the source code from "Visual SLAM: Theory and Practice" to a development environment using OpenCV 4, several compilation errors arise due to deprecated constants and API changes. This guide addresses the necessary modifications to the build system and source code too ensure a successful build. 1. Updating the Build Conf ...

Bilateral filtering is a non-linear, edge-preserving, and noise-reducing smoothing filter for images. Unlike traditional filters like Gaussian blur, which only consider spatial distance, bilateral filtering also considers the intensity difference between pixels. This dual-domain approach allows it to smooth images while simultaneously preservi ...

Libtorch Setup for C++ Development Prerequisites This guide assumes PyTorch 2.1.2 with CUDA (cu118) is already installed on the system. Installation Download the Libtorch debug distribution matching your PyTorch version: libtorch-win-shared-with-deps-debug-2.1.2+cu118.zip Extract the archive to a preferred location on disk. Important: The Lib ...

This project implements optical character recognition for printed digits using OpenCV camera capture and template matching. The system processes video frames, isolates digit regions, compares them against stored templates, and transmits results via serial communication. #include <opencv2/opencv.hpp> #include "SerialInterface.hpp&quot ...

Introduction to Environment Isolation Utilizing Conda allows developers to maintain isolated workspaces for each project, ensuring dependency conflicts are avoided. Each project can operate with its own specific set of libraries and Python versions without interfering with the system-wide installation or other projects. Installation Procedures ...

Objective Understand graph cut operations and implement interactive segmentation by providing foreground and background markers on an image or selecting a region containing the foreground using a bounding box. Implement image segmentation using clustering methods (K-means algorithm). Implementation 1. Interactive Segmentation with Graph Cut I ...

Introduction In our previous discussion, we explored creating custom QR codes. Building upon that foundation, this article demonstrates how to transform images into ASCII art representations where characters replace pixel colors, with each character's color matching the original pixel values. Required Dependencies For image manipulation, we'll ...

Downloading OpenCV 4.8 Source Execute the following commands in a terminal to download and extract the source code: wget -O opencv-4.8.zip https://github.com/opencv/opencv/archive/4.8.0.zip unzip opencv-4.8.zip -d opencv-4.8 Installing Build Dependencies Install required compliers and libraries using apt: sudo apt update sudo apt install -y bu ...

In digital image processing, calculating the gradient of an image is a fundamental step for edge detection and sharpening. This process involves finding the intensity changes between neighboring pixels. Below are two methods to implement this using C++ and the OpenCV library: a manual pixel-iteration approach and a more optiimzed approach using ...