zekome

Turn off AER logging for NVMe and event severity corrected

Motherboard: Asus Pro WS WRX80E-SAGE SE WIFI
Card: Asus HYPER M.2 X16 GEN 4 CARD
NVMe: 4x Samsung SSD 980 PRO 1TB
OS: Linux fedora 5.16.12-200.fc35.x86_64

AER, advanced error reporting logs excessively:

javigoncompte

{"version":1,"resource":"file://wsl.localhost/Ubuntu-20.04/home/javier/cloudbeds/kafka-connectors/dev-ga/source/debezium/incremental-test.yaml","entries":[{"id":"QF1z.yaml","timestamp":1654009259466},{"id":"mGSh.yaml","timestamp":1654009314936},{"id":"MLsL.yaml","timestamp":1654010186246},{"id":"TEK7.yaml","timestamp":1654089637238},{"id":"NIZC.yaml","timestamp":1654089732798},{"id":"6qnw.yaml","timestamp":1654090044588},{"id":"cp8y.yaml","timestamp":1654523396983},{"id":"oJJH.yaml","timestamp":1654524092863},{"id":"xTVs.yaml","timestamp":1654524649823}]}

tmkdam

Step 1. Install NVIDIA CUDA:

To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:

wget -c -v -nc https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.2.88-1_amd64.deb

sudo dpkg -i cuda-repo-ubuntu1604_9.2.88-1_amd64.deb

brendanmckenzie

using System;
using System.Collections.Generic;
using System.Linq;
using Microsoft.AspNetCore.Authorization;
using Microsoft.AspNetCore.JsonPatch;
using Microsoft.AspNetCore.JsonPatch.Operations;
using Microsoft.AspNetCore.Mvc;
using Microsoft.EntityFrameworkCore;
using Newtonsoft.Json.Linq;
using MyApp.Models;

aonemd

require 'pathname'
require 'open3'
require 'mini_magick'

SRC_DIR = '/path/to/src/dir/'.freeze
TMP_DIR = '/path/to/tmp/dir/'.freeze

class TextReader
  def initialize(input_path, output_path)
    @input_path  = input_path

pedrouid

Get a Free SSL Certificate With Let’s Encrypt

Let’s Encrypt is a free, automated, and open Certificate Authority.

1. Install tools for using the Let's Encrypt certificates using Certbot

  sudo apt-get update \
  sudo apt-get install software-properties-common

russss

import cv2
import numpy as np

def deskew(im, max_skew=10):
    height, width = im.shape

    # Create a grayscale image and denoise it
    im_gs = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
    im_gs = cv2.fastNlMeansDenoising(im_gs, h=3)

ndc

using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Hangfire.Annotations;
using Hangfire.Dashboard;
using Microsoft.AspNetCore.Http;

namespace MyApp.ScheduledTask
{

Brainiarc7

silly gist hack, why do we need you? :(

pjspillai

OS: Ubuntu 18.04
Others: Opencv, NCCL, CUDA 9.2, CUDNN

NOTE: For Ubuntu 17.04/ 18.04, there's an alternate way to directly install Caffe via apt-get install caffe-cpu and caffe-cuda
I am installing from source so that I can with other caffe algorithms that demand the existence of a CAFFE_ROOT directory


Modify Makefile.config file
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