Ouwen

'use strict';

var Q = require('q');

module.exports = function (sequelize, DataTypes) {
  return sequelize.define('Snapshot', {
    time: {
      type: DataTypes.DATE
    }
  }, {

Ouwen

Keybase proof

I hereby claim:

• I am ouwen on github.
• I am ouwen (https://keybase.io/ouwen) on keybase.
• I have a public key whose fingerprint is 8CAD 6915 BEB3 FB58 F2B6 2084 6619 292F 4B06 9111

To claim this, I am signing this object:

Ouwen

FarmShots Imagery API

Table of contents

• [API] (#api)
  • /imagery/tile
  • /imagery/tile/<x>/<y>/<z>
• RasterLang
  • expressions

API

Ouwen

FarmShots Imagery API

Table of contents

• API
  • /imagery/tile
  • /imagery/tile/<x>/<y>/<z>
  • /assets/imagery
• Color Map
• RasterLang
  • expressions

Ouwen

import tensorflow as tf
import numpy as np

# Let's explicitly create an empty graph: `g1`.
#
# Note, tensorflow has a default graph that can be used but we 
# explicitly create `g1` for clarity.
g1 = tf.Graph()

# `my_input_value` is a tensor-like object. 

Ouwen

import tensorflow as tf
from google.protobuf import text_format

# Let's read our pbtxt file into a Graph protobuf
f = open("/tmp/storage/graph_protobuf.pbtxt", "r")
graph_protobuf = text_format.Parse(f.read(), tf.GraphDef())

# Import the graph protobuf into our new graph.
graph_clone = tf.Graph()
with graph_clone.as_default():

Ouwen

node {
  name: "input"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {

Ouwen

import tensorflow as tf

g1 = tf.Graph()

with g1.as_default():
    my_input = tf.constant([-1,0,1], dtype=tf.float16, name="input")
    a = tf.square(my_input, name="A")
    b = tf.cos(a, name="B")
    c = tf.sin(a, name="C")   
    d = tf.add(b, c, name="D")

Ouwen

import tensorflow as tf

g1 = tf.Graph()

with g1.as_default():
    my_input = tf.constant([-1,0,1], dtype=tf.float16, name="input")
    
    # Add a print operation in between our "input" operation and "A" operation
    my_printed_input = tf.Print(my_input, [], message="Running the graph.", name="print")

Ouwen

import tensorflow as tf

g1 = tf.Graph()

with g1.as_default():
    my_input = tf.constant([-1,0,1], dtype=tf.float16, name="input")
    my_printed_input = tf.Print(my_input, [], message="Running the graph", name="print")
    a = tf.square(my_printed_input, name="A")
    b = tf.cos(a, name="B")
    c = tf.sin(a, name="C")