sborquez

import argparse

ap = argparse.ArgumentParser(description="Script Description")

ap.add_argument("-s", "--string", required=True, help="Argument help.", type=str)
ap.add_argument("-n", "--number", default=0.0, help="Argument help.", type=float)
ap.add_argument("-l", "--list", nargs="+", type=int)
ap.add_argument('--feature1', dest='feature1', action='store_true')
ap.add_argument('--no-feature2', dest='feature2', action='store_false')
ap.set_defaults(feature1=False, feature2=True)

sborquez

import logging
import sys
from logging.handlers import TimedRotatingFileHandler

FORMATTER = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
LOG_FILE = "my_app.log"

def get_console_handler():
	console_handler = logging.StreamHandler(sys.stdout)
	console_handler.setFormatter(FORMATTER)

sborquez

import cv2
from os import path
from math import floor
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
#from tqdm import tqdm_notebook as tqdm # for jupyter notebooks

# Video to Frame
def get_frame(video, second, save_folder=None, prefix="frame", resize=None, to_rgb=True, prefix_padding=4):

sborquez

"""
Use this script to download the images from the url.txt, then is necesary to manual prunning irrelevant images from our dataset

"""

# import the necessary packages
from imutils import paths
import argparse
import requests
import cv2

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import tensorflow as tf
from tensorflow.python.client import timeline
import keras

tl = timeline.Timeline(run_metadata.step_stats)
ctf = tl.generate_chrome_trace_format()

run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
run_metadata= tf.RunMetadata()

sborquez

import os
import glob
from tqdm import tqdm
from collections import Counter

def rename_submissions(submissions_folder, output_folder=None):
    """
    Rename submissions downloaded from Moodle (download all submissions option).
    Use it when the name of the submited files are differents between each student
    and contains identification info in it.   

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#include <stdio.h>
#include <tensorflow/c/c_api.h>

int main() {
  printf("Hello from TensorFlow C library version %s\n", TF_Version());
  return 0;
}

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sborquez

name: power
source code: |-

  input: '11#111'
  blank: ' '
  start state: setup_a
  table:
    setup_a:
      1   : {write: 'x', L}
      ' ' : {write: '=', L: setup_b} 

sborquez

name: binary palindrome enumerator
source code: |
  # Adds 1 to a binary number.
  input: ''
  blank: ' '
  start state: setup_a
  table:
    # binary generator
    setup_a:
      ' '     : {write: '#', L: setup_b}