hackintoshrao

{
  "id": "/minio-dcos",
  "instances": 4,
  "cpus": 0.5,
  "mem": 512,
  "container": {
    "type": "DOCKER",
    "volumes": [
      {
        "containerPath": "miniodata",

hackintoshrao

#!/bin/bash

# wait 5 seconds for dns to
echo "Waiting 30 seconds for dns"
sleep 30

# print environment
env

# get instance count

hackintoshrao

#!/bin/sh
#
# Minio Cloud Storage, (C) 2017 Minio, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

hackintoshrao

ights = {
    'wc1': tf.Variable(tf.random_normal([5, 5, 1, 32])),
    'wc2': tf.Variable(tf.random_normal([5, 5, 32, 64])),
    'wd1': tf.Variable(tf.random_normal([7*7*64, 1024])),
    'out': tf.Variable(tf.random_normal([1024, n_classes]))}

biases = {
    'bc1': tf.Variable(tf.random_normal([32])),
    'bc2': tf.Variable(tf.random_normal([64])),
    'bd1': tf.Variable(tf.random_normal([1024])),

hackintoshrao

#!/bin/bash 

wget http://central.maven.org/maven2/com/amazonaws/aws-java-sdk/1.11.43/aws-java-sdk-1.11.43.jar
wget http://central.maven.org/maven2/com/amazonaws/aws-java-sdk-core/1.11.43/aws-java-sdk-core-1.11.43.jar
wget http://central.maven.org/maven2/com/amazonaws/aws-java-sdk-kms/1.11.43/aws-java-sdk-kms-1.11.43.jar
wget http://central.maven.org/maven2/com/amazonaws/aws-java-sdk-s3/1.11.43/aws-java-sdk-s3-1.11.43.jar
wget http://central.maven.org/maven2/org/apache/hadoop/hadoop-aws/2.7.1/hadoop-aws-2.7.1.jar
wget http://central.maven.org/maven2/org/apache/hadoop/hadoop-aws/3.0.0-alpha1/hadoop-aws-3.0.0-alpha1.jar
wget http://central.maven.org/maven2/com/fasterxml/jackson/core/jackson-annotations/2.8.4/jackson-annotations-2.8.4.jar
wget http://central.maven.org/maven2/org/apache/httpcomponents/httpclient/4.5.2/httpclient-4.5.2.jar

hackintoshrao

car = imread(car.png);
beach = imread(beach.png);

merge = car / 2 + beach / 2 ;
  
imshow(merge);  
  

hackintoshrao

car = imread(car.png);
beach = imread(beach.png);

merge = car + beach ;
  
imshow(merge);  
  

hackintoshrao

# read the image.
img = imread('bicycle.png');
# display the image 
imshow(img);
# check size of the image.
disp(size(img)); % check size
# separate out the red channel.
img_red = img(: ,:, 1);
# display the image with the red channel.
imshow(img_red);

hackintoshrao

# read the image.
img = imread('bicycle.png');
# display the image 
imshow(img);
# check size of the image.
disp(size(img));  % check size
# select the region to crop
cropped = img(110:310, 10:160);
# display cropped image.
imshow(cropped);

hackintoshrao

# Do all the relevant imports
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import cv2

# Read in the image and convert to grayscale
# Note: in the previous example we were reading a .jpg 
# Here we read a .png and convert to 0,255 bytescale
image = mpimg.imread('exit-ramp.jpg')