Fotogroep Waalre app goes open source

The Swift source code of the Fotogroep Waalre app is now in a GitHub repository. This allows software developers who are interested in photography to join in.


The Swift source code of the Fotogroep Waalre app is now in a GitHub repository. This allows software developers who are interested in photography to join in.

FTP SFTP FTPS Security technology None / old SSH TLS URL my.domain.com sftp://my.domain.com my.domain.com(configure client to use FTPS) Ports that must be opened 21 22 21, plus passive port range Passwords, passkey, public/private keys plaintext passwords (!) public keys public keys User privileges flexible full access privileges flexible FileZilla client support YES YES YES Lightroom…
This article is based on an idea presented by David Smith in an Under the Radar podcast. The idea is to support the UI features of a new platform (e.g., iOS 26) without a) loosing users who still use older devices that won’t support iOS 26, and b) without polluting any newer code with numerous…
The Fotogroep Waalre app (called “Photo Club Waalre” in English) has a new version on the Apple App Store. Starting with v2.1.0 the app’s source code is now also available on a public GitHub repository. This was a matter of conforming to GitHub conventions (like having a markdown readme file). But it took quite some…
Git, Linus Torvald’s version control system, is pretty unescapable nowadays. I methodically installed Git in a basic Xcode Swift project, along with Git-Crypt. The latter allows you to encrypt certain of the files that you published using Git. Publishing source code while encrypting a file or two may sound like a strange combination. But it…
The iOS app formerly-known-as Photo Club Waalre (and Photogroep Waalre) has been renamed to Photo Club Hub. This applies to the code repository on Github, and to version 2.4.0 and above on Apple’s App Store. The name change emphasizes that the app is no longer tied to any single photo club. Since version 2.0 the…
We could explain this technology with a concise explanation such as ”Latent Diffusion Models (LDM) use machine learning to iteratively remove deliberately added noise”. Or we could try to summarise the University of Nottingham’s YouTube video (which is in itself a summary of research papers). But let us try to add value by explaining this…