We create a moving 3d image from pictures using a neural network. This new machine-learning algorithm uses mannequin videos to create pictures for the network to train on and create a depth map to rotate pictures in 3d.
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Outro music: Sanaas Scylla
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In this video series, I try to challenge myself with the Advent of Code trials. Each solution will be published to Github, and I hope you will learn something from my coding mistakes and perhaps send some code my way on how you have done these challenges. I know by reading code, so this is…
We look into high availability using Heartbeat and DRBD. Heartbeat is a software to monitor and failover when a machine is unresponsive and DRBD can help you replicate data between machines making your setup highly available. This solution can help you doing maintenance work without downtime. Git repository: https://ift.tt/2YdYVbQ Please follow me on twitter Tweets…
We talk about building a package. We start with binutils that is required to build all other packages in the system. Please follow me on twitter Tweets by kalaspuffar Outro music: Danomate – http://danomate.com – https://www.youtube.com/user/danomate1
We look into how to run workloads on the Azure Devops Pipeline, compare it with other similar solutions and also look at settings up a simple maven project for testing. Please follow me on twitter Tweets by kalaspuffar Outro music: Sanaas Scylla
In this video, we look through the docker basics. Working with docker is not that hard, but a couple of commands are considered basics. Then, we look at fetching base images, running commands, and setting environment variables.
We look into how to use the Slim 4 framework. First, we will talk about the difference between the Slim 3 generated code from OpenAPI and then we will look at the new requirements for Slim 4 and how to run it in a production environment.