sudo-ben

/// Author Ben McDonald. Adapted from python scikit-learn
///
/// Naive bayes is a machine learning classifier. It uses bayes formula to classify data
/// based on how well data fits into normal distributions modeled from training data
use rulinalg::matrix::BaseMatrix;
use rulinalg::matrix::BaseMatrixMut;
use rulinalg::matrix::{Axes, Matrix};
use std::collections::HashMap;
use std::error::Error;
use std::f64::consts::PI;

sudo-ben

from time import time

_MAX_AREA_FLUCTUATION = 0.6 #percent
_STONG_FRAME_COUNT = 20
_OBJECT_TIMEOUT = 3 #seconds

class TrackedObject(object):
    """
    A class to track objects detected in a frame. The class logs frame 
    locations an object is detected and calculates an area the object is 

sudo-ben

'''
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANy WARRANTy; without even the implied warranty of
MERCHANTABILITy or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.
you should have received a copy of the GNU General Public License

sudo-ben

function isDataURL(s) {
	var commaIndex = s.indexOf(',');
	if (commaIndex === -1) {
		return false;
	} else {
		try {
		    window.atob(s.slice(commaIndex + 1));
		    return true;