carestad

After having the same issue myself by using a mainline 5.13 kernel in Pop OS, I managed to get the monitors working by having a look at the guide for porting the driver to other distros here: https://support.displaylink.com/knowledgebase/articles/679060-porting-the-displaylink-ubuntu-driver-to-other-lin

A small summary though (only tested in PopOs, but should probably work in most Debian/Ubuntu based distros):

1. Make sure you uninstall the current EVDI driver. Do this by calling the currently installed DisplayLink installer file with a "uninstall" argument. For example: sudo ./displaylink-driver-5.4.0-55.153.run uninstall
2. Download the latest Ubuntu driver from here
3. Extract the content of the installer file. For example: ./displaylink-driver-5.4.1-55.174.run --noexec --keep
4. A folder will now exist in the same path as your installer file. CD into it like so: (replace x.x.xx with the real numbers) `cd ./displaylink-

sbyx

blueprint:
  name: Appliance has finished
  description: Do something when an appliance (like a washing machine or dishwasher)
    has finished as detected by a power sensor.
  domain: automation
  input:
    power_sensor:
      name: Power Sensor
      description: Power sensor entity (e.g. from a smart plug device).
      selector:

carpben

export const useFocus = () => {
	const htmlElRef = useRef<HTMLElement>()
	const setFocus = () => {
		const currentEl = htmlElRef.current
		currentEl && currentEl.focus()
	}
	return [setFocus, htmlElRef] as const
}

brutella

Enable camera module

Edit your /boot/config.txt file and make sure the following lines look like this:

start_x=1             # essential
gpu_mem=128           # at least, or maybe more if you wish
disable_camera_led=1  # optional, if you don't want the led to glow

Load bcm2835-v4l2 module

enricofoltran

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

Prasad9

<annotation>
	<folder>GeneratedData_Train</folder>
	<filename>000001.png</filename>
	<path>/my/path/GeneratedData_Train/000001.png</path>
	<source>
		<database>Unknown</database>
	</source>
	<size>
		<width>224</width>
		<height>224</height>

douglasrizzo

How to train your own object detection models using the TensorFlow Object Detection API (2020 Update)

This started as a summary of this nice tutorial, but has since then become its own thing.

• Prerequisites
• Annotating images and serializing the dataset
• Choosing a neural network and preparing the training pipeline
• Training the network

wangruohui

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

ammario

func ip2int(ip net.IP) uint32 {
	if len(ip) == 16 {
		return binary.BigEndian.Uint32(ip[12:16])
	}
	return binary.BigEndian.Uint32(ip)
}

func int2ip(nn uint32) net.IP {
	ip := make(net.IP, 4)
	binary.BigEndian.PutUint32(ip, nn)

tpokorra

#!/bin/bash

#
# lxc: linux Container library

# Authors:
# Original Debian:
# Daniel Lezcano <daniel.lezcano@free.fr>
# Changes for Raspberry Pi by:
# Oliver Heller <oliver@d24m.de>