treinberger

######## Picamera Object Detection Using Tensorflow Classifier #########
#
# Author: Evan Juras
# Date: 4/15/18
# Description: 
# This program uses a TensorFlow classifier to perform object detection.
# It loads the classifier uses it to perform object detection on a Picamera feed.
# It draws boxes and scores around the objects of interest in each frame from
# the Picamera. It also can be used with a webcam by adding "--usbcam"
# when executing this script from the terminal.

treinberger

import sys
import numpy as np
import cv2
from os import system
import io, time
from os.path import isfile, join
import re
import picamera
from imutils.video.pivideostream import PiVideoStream
from imutils.video import FPS

treinberger

/**
 * This file was auto-generated by the Titanium Module SDK helper for Android
 * Appcelerator Titanium Mobile
 * Copyright (c) 2009-2010 by Appcelerator, Inc. All Rights Reserved.
 * Licensed under the terms of the Apache Public License
 * Please see the LICENSE included with this distribution for details.
 *
 */
package com.certtest;

treinberger

package com.certtest;

import java.net.Socket;
import java.security.KeyStore;
import java.security.Principal;
import java.security.PrivateKey;
import java.security.cert.CertificateException;
import java.security.cert.X509Certificate;
import java.util.ArrayList;
import java.util.Arrays;

treinberger

function MapModelToView(model, view) {
	var databoundViews = getChildren(view).filter(function(subview) {
		return !_.isUndefined(subview.dataField);
	});
	for (var prop in model) {

		if (model[prop] != null && !_.isFunction(model[prop]) && !_.isArray(model[prop])) {
			//try to find view with attribute dataField = prop
			var matchingSubview = _.find(databoundViews, function(subview) {
				return subview.dataField === prop;