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sai-prasanna / collisionLSH.py
Created August 8, 2021 17:01 — forked from unrealwill/collisionLSH.py
Proof of Concept : generating collisions on a neural perceptual hash
import tensorflow as tf #We need tensorflow 2.x
import numpy as np
#The hashlength in bits
hashLength = 256
def buildModel():
#we can set the seed to simulate the fact that this network is known and doesn't change between runs
#tf.random.set_seed(42)
model = tf.keras.Sequential()
/**
* @providesModule PatientList
*/
import NavigationBar from 'react-native-navbar';
import NavigationButtons from 'NavigationButtons';
import React, { ListView, Navigator, StyleSheet, Text, TextInput, TouchableHighlight, View } from 'react-native';
import { connect } from 'react-redux/native'
@connect(state => ({
patients: state.patients
import time
import sys
ms = int(sys.argv[1]) if len(sys.argv) > 1 else 250
words, start = 0, time.time()
print "\n"*2
try:
for line in sys.stdin:

Moving from jQuery

Events

// jQuery
$(document).ready(function() {
  // code
})