denisb411

# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples

# If not running interactively, don't do anything
case $- in
    *i*) ;;
      *) return;;
esac

denisb411

import logging
from datetime import datetime


class CustomFormatter(logging.Formatter):
    """Logging Formatter to add colors and count warning / errors"""

    grey = "\x1b[38;21m"
    yellow = "\x1b[33;21m"
    light_blue = "\x1b[1;36m"

denisb411

from airflow import DAG
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator
from airflow.operators.subdag import SubDagOperator
from airflow.utils.task_group import TaskGroup

from random import uniform
from datetime import datetime

default_args = {

denisb411

from airflow import DAG
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator
from airflow.operators.subdag import SubDagOperator
from airflow.utils.task_group import TaskGroup

from random import uniform
from datetime import datetime

default_args = {

denisb411

"""
Usage:
  # From tensorflow/models/
  # Create train data:
  python generate_tfrecord.py --csv_input=images/train_labels.csv --image_dir=images/train --output_path=train.record

  # Create test data:
  python generate_tfrecord.py --csv_input=images/test_labels.csv  --image_dir=images/test --output_path=test.record
"""
from __future__ import division

denisb411

denisb411

"""
Usage:
  # From tensorflow/models/
  # Create train data:
  python generate_tfrecord.py --csv_input=images/train_labels.csv --image_dir=images/train --output_path=train.record

  # Create test data:
  python generate_tfrecord.py --csv_input=images/test_labels.csv  --image_dir=images/test --output_path=test.record
"""
from __future__ import division

denisb411

import datetime
import os
import sys
from threading import Thread
from argparse import ArgumentParser
import io

from flask import Flask, render_template, Response
from flask import send_file

denisb411

denisb411

import os, sys
import shutil
from argparse import ArgumentParser
from random import randrange
from PIL import Image
import glob
import re
import xml.etree.ElementTree as ET
import pandas as pd
import tensorflow as tf