dip

Книга о принципах SOLID и объектно-ориентированном дизайне программ · 🧱 🔌 💥

Pure DI for .NET without frameworks!

RODA - Repository of Authentic Digital Objects

Implementation of the paper : Sky is Not the Limit: Semantic-Aware Sky Replacement

Framework for computing seismic attributes with Python.

SCOPE: An access interface for DIPs from Archivematica

Straightforward way to implement communication between Rails Engines using the Publish-Subscribe pattern.

🚣 Convert your image to ICO format

Example modern Rails application running by Dip.

Different calculators made to solve problems for ECE subjects

A bridge to Apache Atlas for provenance metadata created in course of using Apache NiFi

This is a jupyter notebook with 8 different solutions for common problems of digital image processing, including object recognition and binarization using adaptative threshold.

ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)

Solutions to the problem sets of a DIP course @ Uninorte

In this project,I will create a NewsBlog by using Model View Controller design in .NetCore. AppUser can add İmage and automatically ImageResizer will cropted image .

3D reconstruction code for deep prior diffraction tomography

TypeScript Injections is a dependency injection library, which move responsibility from producer to customer.

E-ARK DIP Specification

a GUI to perform Digital Image Process

Easily parsable clean code cheat sheet V 2.4. Based on the work of Urs Enzler.

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.

Demo iOS applications built to highlight MVC/MVP/MVVM (RxSwift) and Clean Architecture (VIPER) concepts using Swift

java 23种设计模式 开闭原则 依赖倒转原则 迪米特法则 设计模式思想 Java入门demo

📖 Better alternative to bets statistics spreadsheet. Built with Rails and Vue.js

Converts a 2D Color Image 🖼 into a Hand drawn Sketch ✏ Using Novel Technique.

Homebrew tap for DIP

Dokumentations- und Informationssystems für Parlamentsmaterialien (DIP) – Bundestag – TypeScript Client

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.