shabazpatel

### Steps:

1. Clone this github [project](!https://github.com/datmo/hello-world.git),
```
$ git clone https://github.com/datmo/hello-world.git
```   

2. Move into the project and initialize it and setup the environment using datmo CLI,
```
$ cd hello-world

shabazpatel

[...]

def handler(event, context):
    # take input pd data frame and return dictionary with classificaiton
    input = json.loads(event['body'])['input']
    output_response = {"statusCode": 200, "headers": {"Content-Type": "application/json"}}
    try:
        # Inference
        y_pred = iris_model.predict(input)
        y_pred = [round(value) for value in y_pred]

shabazpatel

service: datmo-sklearn-iris

frameworkVersion: ">=1.2.0 <2.0.0"

provider:
  name: aws
  runtime: python2.7
  memorySize: 256
  timeout: 15
  stage: staging

shabazpatel

version: "1"
deploy:
  service_route: "/shabazp/imagnet-resnet/snapshot_id"
  celery_services:
    worker_path: "tasks.py"
    methods:
      - predict
  worker_config:
    worker_prefetch_multiplier: 20
  environment: "./Dockerfile"

shabazpatel

import pickle
import random
random.seed(3)
iris_model = None
Species_class_map = None


def load_iris_model():
    # load the pre-trained Iris model (here we are using a model
    # pre-trained on Iris Classification using sklearn

shabazpatel

import os
import mxnet as mx
path='http://data.mxnet.io/models/imagenet-11k/'
if not os.path.exists('resnet-152-symbol.json'):
    mx.test_utils.download(path+'resnet-152/resnet-152-symbol.json')
if not os.path.exists('resnet-152-0000.params'):
    mx.test_utils.download(path+'resnet-152/resnet-152-0000.params')
if not os.path.exists('synset.txt'):
    mx.test_utils.download(path+'synset.txt')

shabazpatel

FROM cloudgear/ubuntu:14.04

MAINTAINER Datmo devs <dev@datmo.io>

RUN apt-get update; \
    apt-get install -y \
      python python-pip \
      build-essential \
      python-dev \
      python-setuptools \

shabazpatel

References:

https://github.com/tesseract-ocr/tesseract/wiki/Compiling

http://stackoverflow.com/questions/33588262/tesseract-ocr-on-aws-lambda-via-virtualenv

https://github.com/sirfz/tesserocr

Instructions for running Tesseract OCR on AWS Lambda with Python