2021-08-23 17:52:42 +02:00
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---
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2021-08-29 09:24:25 +02:00
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title: "Hello friend 🐱👤"
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2021-08-23 17:52:42 +02:00
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date: 2021-08-23T17:52:07+02:00
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2021-08-24 09:08:44 +02:00
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draft: false
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2021-08-23 17:52:42 +02:00
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---
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2021-08-24 10:15:38 +02:00
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2021-08-29 09:24:25 +02:00
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## About This Site
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2021-08-26 23:06:51 +02:00
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This site shares a bit of informal documentation and more blog-based recod
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keeping. Providing commentary on design decisions should be just as useful as
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some of the technical documentation however included in my repositories.
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2021-08-29 09:24:25 +02:00
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## My Setup
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I mainly use RHEL flavours of linux having both CentOS and Fedora machines. Most
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hosted services run on CentOS 8 at the moment abiet they are approaching
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end-of-life. Overall the package repository for CentOS 7/8 is just right. I
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rarely need to compile anything from source and packages are very stable.
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I will eventually migrate to Fedora completely which is where I operate my
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development environment.
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This is a list of my most used self-hosted services:
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- Gitea: Git server with web interface for repository mirrors and personal repos
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- Plex: mutlti-media hosting service for streaming movies and tv-shows
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- NextCloud: Cloud storage for synchronizing and sharing files
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- Cockpit: Web base administration portal managing linux boxes
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- RoundCube: Web based email client
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- Postfix/Dovcot: Email stack providing SMTP for my domain
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- NGINX: HTTP server serving as proxy for internal web services
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- Danbooru: Ruby-on-rails based image hosting and tagging service
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There are several others that I have tried but these really have been the things
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I relied on the most in the past 5 years or so. I think the only thing that is
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possibly missing from this list is possibly the equivilent of a centralized LDAP
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service but I simply haven't had to manage more than handful of users.
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Currently I develop quite a bit of python utilities for scraping, labeling, and
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managing media in an automated fashion. In part I am preparing data for one of
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my long term projects which is related to image classification based on
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structural decomposition rather than textural features. The main idea here is
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to analyse and extract structure in an image before performing in-depth analysis
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such that said analysis is most specific to its context.
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2021-08-26 23:06:51 +02:00
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2021-08-29 09:24:25 +02:00
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This is some of the hardware that I use:
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- W10 Laptop: Intel i5-7200U CPU with 8 GB of memory
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- W10 Desktop: Intel i5-7200U CPU with 8 GB of memory
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2021-08-26 23:06:51 +02:00
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2021-08-29 09:24:25 +02:00
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## About Me
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2021-08-26 23:06:51 +02:00
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I do mixed signal circuit design and a bit of software development as a hobby.
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