mcvarer

#!/bin/bash
## This gist contains instructions about cuda v11.2 and cudnn 8.1 installation in Ubuntu 18.04 for PyTorch

#############################################################################################
##### forked by : https://gist.github.com/Mahedi-61/2a2f1579d4271717d421065168ce6a73 ########
#############################################################################################


### steps ####
# verify the system has a cuda-capable gpu

bradtraversy

VSCode - ESLint, Prettier & Airbnb Setup

1. Install ESLint & Prettier extensions for VSCode

Optional - Set format on save and any global prettier options

2. Install Packages

npm i -D eslint prettier eslint-plugin-prettier eslint-config-prettier eslint-plugin-node eslint-config-node

netsmertia

import 'package:flutter/material.dart';
import 'dart:ui' as ui;
import 'package:flutter/services.dart' show rootBundle;
import 'dart:async';
import 'dart:typed_data';

void main() => runApp(new MyApp());

class MyApp extends StatelessWidget {
  // This widget is the root of your application.

iamtodor

# This is an example of using 
# https://github.com/tensorflow/models/blob/master/research/object_detection/dataset_tools/create_pascal_tf_record.py
# The structure should be like PASCAL VOC format dataset
# +Dataset
#   +Annotations
#   +JPEGImages
# python create_tfrecords_from_xml.py --image_dir=dataset/JPEGImages 
#                                      --annotations_dir=dataset/Annotations 
#                                      --label_map_path=object-detection.pbtxt 
#                                      --output_path=data.record

deepakpk009

{
  "categories": [
    {
      "name": "Movies",
      "videos": [
        {
          "description": "Big Buck Bunny tells the story of a giant rabbit with a heart bigger than himself. When one sunny day three rodents rudely harass him, something snaps... and the rabbit ain't no bunny anymore! In the typical cartoon tradition he prepares the nasty rodents a comical revenge.\n\nLicensed under the Creative Commons Attribution license\nhttp://www.bigbuckbunny.org",
          "sources": [
            "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4"
          ],

grimzy

#!/usr/bin/env bash

git branch -r | grep -v '\->' | while read remote; do git branch --track "${remote#origin/}" "$remote"; done
git fetch --all
git pull --all

kylehounslow

from __future__ import print_function
import requests
import json
import cv2

addr = 'http://localhost:5000'
test_url = addr + '/api/test'

# prepare headers for http request
content_type = 'image/jpeg'

odarriba

First of all, we are going to store all the data in a Docker shared volume, called openvpn_data.

To initialise the OpenVPN configuration and CA:

$ docker run -v openvpn_data:/etc/openvpn --rm evolvedm/openvpn-rpi ovpn_genconfig -u udp://your-vpn.address.com
$ docker run -v openvpn_data:/etc/openvpn --rm -it evolvedm/openvpn-rpi ovpn_initpki

To start daemon (and auto-restart it):

Integralist

Start up a container (whichever Linux flavour takes your fancy):

docker run -it ubuntu /bin/bash
docker run -it centos /bin/bash

• top: check what CPU and Memory running processes are utilising
• ps: see what processes are running
• strace: monitor interactions between processes

Daenyth

import requests
import logging
import httplib

# Debug logging
httplib.HTTPConnection.debuglevel = 1
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
req_log = logging.getLogger('requests.packages.urllib3')
req_log.setLevel(logging.DEBUG)