seunboy1

Follow the steps here
https://mkyong.com/java/how-to-set-java_home-environment-variable-on-mac-os-x/
or do the following

1. Get location of default jdk
    /usr/libexec/java_home
2. Find all installed JDKs
    /usr/libexec/java_home -V
3. Run a specified JDK. Note you can pick any of the versions already in you system
    /usr/libexec/java_home -v1.8

seunboy1

#!/bin/bash

# Version TF record 

dvc_track_files() {
  dvc init
  
  dvc add data.tfrecord
  dvc remote add -d storage s3://mybucket/datastorage
  dvc push

seunboy1

#!/bin/bash

# Version TF record saved on s3

dvc_track_files() {

    git init 

    #initialise dvc in a git directory 
    dvc init

seunboy1

When reading or writing data on S3 with your TensorFlow program, the behavior could be controlled by various environmental variables:

* AWS_REGION: By default, regional endpoint is used for S3, with region controlled by AWS_REGION. If AWS_REGION is not specified, then us-east-1 is used.
* S3_ENDPOINT: The endpoint could be overridden explicitly with S3_ENDPOINT specified.
* S3_USE_HTTPS: HTTPS is used to access S3 by default, unless S3_USE_HTTPS=0.
* S3_VERIFY_SSL: If HTTPS is used, SSL verification could be disabled with S3_VERIFY_SSL=0.

To read or write objects in a bucket that is no publicly accessible, AWS credentials must be provided through one of the following methods:

* Set credentials in the AWS credentials profile file on the local system, located at: ~/.aws/credentials on Linux, macOS, or Unix, or C:\Users\USERNAME\.aws\credentials on Windows.

seunboy1

To enter docker environmnet
docker exec -it <id> /bin/bash

run dag task from s3
airflow tasks test <dag_id> <task_id> 2020-01-01

docker-compose up --build 

stop all docker containers
docker container stop $(docker container ls -q)

seunboy1

This was gotten from https://www.learnopencv.com/install-opencv-4-on-ubuntu-18-04/

# Create your working directory 

mkdir project && cd project

#Visit  to follow the article

Change CMAKE_INSTALL_PREFIX=$cwd/installation/OpenCV-"$cvVersion" \    to    CMAKE_INSTALL_PREFIX=/usr/local \. and 
OPENCV_PYTHON3_INSTALL_PATH=$cwd/OpenCV-$cvVersion-py3/lib/python3.5/site-packages \    to   the right directory 

seunboy1

#This was taken from this repo https://github.com/FloopCZ/tensorflow_cc

#Download and install requirement

sudo apt-get install cmake curl g++-7 git python3-dev python3-numpy sudo wget

# Install Bazel

curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
echo "deb [arch=amd64] https://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list

seunboy1

Step One: (download awscli)

curl "https://s3.amazonaws.com/aws-cli/awscli-bundle.zip" -o "awscli-bundle.zip"

Step Two: (Unzip awscli)

unzip awscli-bundle.zip

Step Three: (Run the installation)

seunboy1

from selenium import webdriver
import os
import wget

#adapted from https://gist.github.com/genekogan/ebd77196e4bf0705db51f86431099e57

#input your search item here
searchterm = 'Tomato'
url = "https://www.google.co.in/search?q="+searchterm+"&source=lnms&tbm=isch"