dkohlsdorf

dkohlsdorf

dkohlsdorf

dkohlsdorf

import matplotlib.pyplot as plt
import numpy as np
import warnings
import os

from collections import namedtuple
from numpy.fft import fft, ifft
from scipy.io import wavfile
from scipy.ndimage import gaussian_filter
warnings.filterwarnings('ignore')

dkohlsdorf

/**
 * Object Recognition from Webcam
 *  
 * by Daniel Kyu Hwa Kohlsdorf
 * mailto: dkohlsdorf@gmail.com
 */

'use strict';

dkohlsdorf

import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import tensorflow.keras.layers as layers
import tensorflow.keras.losses as loss
import tensorflow_datasets.public_api as tfds

from sys import argv
from random import Random
from os import walk

dkohlsdorf

dkohlsdorf

'''
Align videos using Dynamic Time Warping

Given a set of video files with associated time stamp files,
the program creates a new set of aligned videos.
Copyright (c) <year> <copyright holders>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights

dkohlsdorf

extern crate avro_rs;

use avro_rs::*;
use std::io::prelude::*;
use std::net::TcpListener;
use std::net::TcpStream;
use std::thread;

#[derive(Debug, Deserialize, Serialize)]
pub struct Test {

dkohlsdorf

from lxml import html
import requests
import urllib.request
import re
import time
import os.path

HANDLE = '^/handle/[0-9]+/[0-9]+$'
BASE_URL = 'https://tspace.library.utoronto.ca'
page = requests.get(BASE_URL + '/handle/1807/24487')