#!/usr/bin/env python3

# -*- coding: utf-8 -*-

# */AIPND-revision/intropyproject-classify-pet-images/check_images.py

#

# TODO 0: Add your information below for Programmer & Date Created.

# PROGRAMMER: Mateo Garcia

# DATE CREATED: 01/26/20

# REVISED DATE:

# PURPOSE: Classifies pet images using a pretrained CNN model, compares these

# classifications to the true identity of the pets in the images, and

# summarizes how well the CNN performed on the image classification task.

# Note that the true identity of the pet (or object) in the image is

# indicated by the filename of the image. Therefore, your program must

# first extract the pet image label from the filename before

# classifying the images using the pretrained CNN model. With this

# program we will be comparing the performance of 3 different CNN model

# architectures to determine which provides the 'best' classification.

#

# Use argparse Expected Call with <> indicating expected user input:

# python check_images.py --dir <directory with images> --arch <model>

# --dogfile <file that contains dognames>

# Example call:

# python check_images.py --dir pet_images/ --arch vgg --dogfile dognames.txt

##

# Imports python modules

from time import time, sleep

# Imports print functions that check the lab

from print_functions_for_lab_checks import *

# Imports functions created for this program

from get_input_args import get_input_args

from get_pet_labels import get_pet_labels

from classify_images import classify_images

from adjust_results4_isadog import adjust_results4_isadog

from calculates_results_stats import calculates_results_stats

from print_results import print_results

# Main program function defined below

def main():

+str(int((tot_time%3600)%60)) )

# Call to main function to run the program

if __name__ == "__main__":

main()