1603331368
Median filtering can be used to join multiple images to get a single image with all moving objects removed. The simple idea is to compare the pixels at the same location on all images and get the median of RGBA values of the pixels to form a new composite image with all moving objects removed.
The image set provided has to be taken by a camera that did not move during the shoot, since the pixels at the same location on all images have to correspond to the same physical location. Otherwise, the median filter will blend all images together to create a meaningless composite image. You can read more about median filtering on Nikolas Moya’s medium article. (I took the test frames I used from this article as well): Simple algorithm to remove moving objects from pictures
The following code is the definition of the image struct I am going to be using, a few utility functions to read an image from a file to my structs and functions to write the struct back to a proper image file. This code is exactly the same code I used in my 3 part article “Writing an image manipulation library in Go”. You can find more information about these functions and structs here: https://koraygocmen.medium.com/writing-an-image-manipulation-library-in-go-part-1-d4e20dada8b
#golang #go #image #golang-tutorial
1591611780
How can I find the correct ulimit values for a user account or process on Linux systems?
For proper operation, we must ensure that the correct ulimit values set after installing various software. The Linux system provides means of restricting the number of resources that can be used. Limits set for each Linux user account. However, system limits are applied separately to each process that is running for that user too. For example, if certain thresholds are too low, the system might not be able to server web pages using Nginx/Apache or PHP/Python app. System resource limits viewed or set with the NA command. Let us see how to use the ulimit that provides control over the resources available to the shell and processes.
#[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object]
1591993440
We are going to build a full stack Todo App using the MEAN (MongoDB, ExpressJS, AngularJS and NodeJS). This is the last part of three-post series tutorial.
MEAN Stack tutorial series:
AngularJS tutorial for beginners (Part I)
Creating RESTful APIs with NodeJS and MongoDB Tutorial (Part II)
MEAN Stack Tutorial: MongoDB, ExpressJS, AngularJS and NodeJS (Part III) 👈 you are here
Before completing the app, let’s cover some background about the this stack. If you rather jump to the hands-on part click here to get started.
#[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object]
1595434320
Mit dem integrierten Debugger von Visual Studio Code lassen sich ASP.NET Core bzw. .NET Core Applikationen einfach und problemlos debuggen. Der Debugger unterstützt auch Remote Debugging, somit lassen sich zum Beispiel .NET Core Programme, die in einem Docker-Container laufen, debuggen.
Als Beispiel Applikation reicht das Default-Template für MVC Applikationen dotnet new mvc
$ md docker-core-debugger
$ cd docker-core-debugger
$ dotnet new mvc
Mit dotnet run prüfen wir kurz, ob die Applikation läuft und unter der Adresse http://localhost:5000 erreichbar ist.
$ dotnet run
$ Hosting environment: Production
$ Content root path: D:\Temp\docker-aspnetcore
$ Now listening on: http://localhost:5000
Die .NET Core Applikation builden wir mit dotnet build und publishen alles mit Hilfe von dotnet publish
$ dotnet build
$ dotnet publish -c Debug -o out --runtime linux-x64
Dabei gilt es zu beachten, dass die Build Configuration mit -c Debug gesetzt ist und das Output Directory auf -o out. Sonst findet Docker die nötigen Binaries nicht. Für den Docker Container brauchen wir nun ein Dockerfile, dass beim Start vorgängig den .NET Core command line debugger (VSDBG) installiert. Das Installations-Script für VSDBG ist unter https://aka.ms/getvsdbgsh abfrufbar.
FROM microsoft/aspnetcore:latest
WORKDIR /app
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
unzip procps \
&& rm -rf /var/lib/apt/lists/* \
&& curl -sSL https://aka.ms/getvsdbgsh | bash /dev/stdin -v latest -l /vsdbg
COPY ./out .
ENTRYPOINT ["dotnet", "docker-core-debugger.dll"]
Den Docker Container erstellen wir mit dem docker build Kommando
$ docker build -t coreapp .
und starten die Applikation mit docker run.
$ docker run -d -p 8080:80 --name coreapp coreapp
Jetzt muss Visual Studio Code nur noch wissen, wo unsere Applikation läuft. Dazu definieren wir eine launch.json vom Typ attach und konfigurieren die nötigen Parameter für den Debugger.
{
"version": "0.2.0",
"configurations": [
{
"name": ".NET Core Remote Attach",
"type": "coreclr",
"request": "attach",
"processId": "${command:pickRemoteProcess}",
"pipeTransport": {
"pipeProgram": "docker",
"pipeArgs": ["exec", "-i coreapp ${debuggerCommand}"],
"quoteArgs": false,
"debuggerPath": "/vsdbg/vsdbg",
"pipeCwd": "${workspaceRoot}"
},
"logging": {
"engineLogging": true,
"exceptions": true,
"moduleLoad": true,
"programOutput": true
},
}
]
}
Mit F5 starten wir den Debugger. Wenn alles klappt, sollte eine Auswahl der Prozesse des Docker-Containers sichtbar sein.
Nun muss der dotnet Prozess ausgewählt werden. Der Visual Studio Code Debugger verbindet sich darauf mit VSDBG und wir können wie gewohnt unseren Code debuggen. Dazu setzen wir einen Breakpoint in der Index-Action des HomeControllers und rufen mit dem Browser die URL http://localhost:8080/ auf.
#[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object]
1598195340
How do I configure Amazon SES With Postfix mail server to send email under a CentOS/RHEL/Fedora/Ubuntu/Debian Linux server?
Amazon Simple Email Service (SES) is a hosted email service for you to send and receive email using your email addresses and domains. Typically SES used for sending bulk email or routing emails without hosting MTA. We can use Perl/Python/PHP APIs to send an email via SES. Another option is to configure Linux or Unix box running Postfix to route all outgoing emails via SES.
Before getting started with Amazon SES and Postfix, you need to sign up for AWS, including SES. You need to verify your email address and other settings. Make sure you create a user for SES access and download credentials too.
If sendmail installed remove it. Debian/Ubuntu Linux user type the following apt command/apt-get command:
$`` sudo apt --purge remove sendmail
CentOS/RHEL user type the following yum command or dnf command on Fedora/CentOS/RHEL 8.x:
$`` sudo yum remove sendmail
$`` sudo dnf remove sendmail
Sample outputs from CentOS 8 server:
Dependencies resolved.
===============================================================================
Package Architecture Version Repository Size
===============================================================================
Removing:
sendmail x86_64 8.15.2-32.el8 @AppStream 2.4 M
Removing unused dependencies:
cyrus-sasl x86_64 2.1.27-1.el8 @BaseOS 160 k
procmail x86_64 3.22-47.el8 @AppStream 369 k
Transaction Summary
===============================================================================
Remove 3 Packages
Freed space: 2.9 M
Is this ok [y/N]: y
#[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object]
1591989720
Welcome to this tutorial about RESTful API using Node.js (Express.js) and MongoDB (mongoose)! We are going to learn how to install and use each component individually and then proceed to create a RESTful API.
MEAN Stack tutorial series:
AngularJS tutorial for beginners (Part I)
Creating RESTful APIs with NodeJS and MongoDB Tutorial (Part II) 👈 you are here
MEAN Stack Tutorial: MongoDB, ExpressJS, AngularJS and NodeJS (Part III)
#[object object] #[object object] #[object object] #[object object] #[object object] #[object object] #[object object]