cancan101

#include <Accelerate/Accelerate.h>
#include <stdio.h>
#include <sys/time.h>
#include <stdlib.h>
#include <string.h>


int main(int argc, const char * argv[])
{
  // Description of the input image stack

cancan101

sess, meta_graph_def = session_bundle.load_session_bundle_from_path(input)
signatures_any = sess.graph.get_collection(constants.SIGNATURES_KEY)
signatures = manifest_pb2.Signatures()
signatures_any[0].Unpack(signatures)

inputs = signatures.named_signatures['inputs'].generic_signature
input_name = inputs.map['images'].tensor_name

cancan101

/*! dicom-parser - v1.5.0 - 2016-05-08 | (c) 2014 Chris Hafey | https://github.com/chafey/dicomParser */
(function (root, factory) {

    // node.js
    if (typeof module !== 'undefined' && module.exports) {
        module.exports = factory();
    }
    else if (typeof define === 'function' && define.amd) {
        // AMD. Register as an anonymous module.
        define([], factory);

cancan101

from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D
from keras.optimizers import Adamax

import numpy as np
from keras.preprocessing.image import ImageDataGenerator


def main():

cancan101

# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update

cancan101

#!/bin/sh
"exec" "python" "-u" "--" "$0" "$@"


import os
import sys
import time


class ForceIOStream:

cancan101

{
   "swaggerVersion": "1.2",
   "apis": [

      {
         "operations": [

            {
               "parameters": [
                  {

cancan101

{
   "swaggerVersion": "1.2",
   "apis": [

      {
         "operations": [

            {
               "parameters": [
                  {

cancan101

import sqlite3
import threading

db = sqlite3.connect(":memory:", check_same_thread=False)
CREATE_NON_LINKED_TABLE = 'CREATE TABLE IF NOT EXISTS %s (id INTEGER PRIMARY KEY AUTOINCREMENT, original, cleaned, UNIQUE(original))'
CREATE_LINKED_TABLE = 'CREATE TABLE IF NOT EXISTS %s (id INTEGER PRIMARY KEY AUTOINCREMENT, original, cleaned, study INTEGER, UNIQUE(original, study), FOREIGN KEY(study) REFERENCES studyinstanceuid(id))'
db.isolation_level = None
db.execute(CREATE_NON_LINKED_TABLE % 'studyinstanceuid')

db.execute(CREATE_LINKED_TABLE % 'patientsname')

cancan101

sudo: true
language: python
cache:
  directories:
    - $HOME/.cache/pip
python:
 - '2.7'
env:
 - SERVICE=s1
 - SERVICE=s2