Vicente Masip masip85

Python udp broadcast client-server example

⚠️ ❗ ATTENTION ❗ ⚠️

This gist is deprecated and will not be edited in the future. Consider visit ninedraft/python-udp repo. It will not be deleted, however.

⚠️ ❗ ATTENTION ❗ ⚠️

`ssh-agent` checker/launcher

About

A bash script for managing ssh-agent that I use for Ubuntu and OSX.

Started as a variation from this classic on Stack Overflow How to check if ssh-agent is already running and then adapted it to align with behaivor I want.

This version does the following:

checks for ssh agent forward (remote login) and if so does not setup ssh-agent or any keys

How to setup `nvidia-container-runtime` and podman/runc

Podman is such a cool project! However, there is no easy way to setup the nvidia-container-runtime and podman so that we can run unprivileged container in a gpu host. This is specially interesting in environments with multiple people accessing the same host (strong isolation between containers!!!).

Steps to setup the whole system

Install podman and friends (buildah and skopeo)

Ubuntu: add-apt-repository -y ppa:projectatomic/ppa && apt install podman buildah skopeo

Install OpenCV 4.10 with CUDA 12.6 and CUDNN 8.9 in Ubuntu 24.04

First of all install update and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Then, install required libraries:

	What else can you do?

	How to clone repository to a specific commit? (full clone)

	# Create empty repository to store your content
	git clone <url>
	git reset <sha-1> --hard
	More info:

	How to clone single branch?

	/**
	* Based on:
	* https://stackoverflow.com/questions/10403588/adding-opencv-processing-to-gstreamer-application
	*/

	// Include atomic std library
	#include <atomic>

	// Include gstreamer library
	#include <gst/gst.h>

	#!/usr/bin/env python

	import cv2
	import gi
	import numpy as np

	gi.require_version('Gst', '1.0')
	from gi.repository import Gst

	"""
	Train a neural network to implement the discrete Fourier transform
	"""
	import matplotlib.pyplot as plt
	import numpy as np
	from tensorflow.keras.layers import Dense
	from tensorflow.keras.models import Sequential

	N = 32
	batch = 10000

	ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/id_rsa
	ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/github_rsa
	ssh-keygen -t rsa -b 4096 -N '' -C "[email protected]" -f ~/.ssh/mozilla_rsa