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import React from 'react';
import { StyleSheet, Text, View } from 'react-native';
import { Camera, Permissions, FaceDetector, DangerZone } from 'expo';

export default class CameraExample extends React.Component {
  static defaultProps = {
    countDownSeconds: 5,
    motionInterval: 500, //ms between each device motion reading
    motionTolerance: 1, //allowed variance in acceleration
    cameraType: Camera.Constants.Type.front, //front vs rear facing camera

heaversm

// Copyright (c) 2018 ml5
//
// This software is released under the MIT License.
// https://opensource.org/licenses/MIT

/* ===
ml5 Example
Creating a regression extracting features of MobileNet. Build with p5js.
=== */

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const $arrivals = $('.arrivals');
let arrivalInterval;

window.onload = function(){
    getArrivals();
    pollForArrivals();
}

pollForArrivals = function(){
    arrivalInterval = setInterval(getArrivals,60000);

heaversm

#include <ESP8266WiFi.h>
#include <WiFiClientSecure.h>
#include <TimeLib.h>
#include <NTPClient.h>
#include <WiFiUdp.h>
#include <Adafruit_NeoPixel.h>


//WIFI
const char* ssid = "[MY_SSID]";

heaversm

#import <React/RCTViewManager.h>
#import <UIKit/UIKit.h>
#import <AVFoundation/AVFoundation.h>
#import <opencv2/videoio/cap_ios.h>
#import "ChordCodeLocator.hpp"
#import "RNTUIImageView.h"

using namespace cv;

@interface OpenCvCameraManager : RCTViewManager<CvVideoCameraDelegate>

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#import "OpenCvCameraManager.h"
#import <React/RCTBridge.h>
#import <opencv2/videoio/cap_ios.h>

using namespace cv;

@implementation OpenCvCameraManager

@synthesize camera, img, cameraId;

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let data = {}; // Global object to hold results from the loadJSON call
let shapes = []; // Global array to hold all shape arrays of coords
let mousePressedCoords = [];
let mouseReleasedCoords = [];
let isMousePressed = false; 
let marqueeIsActive = false; //true when shift key selected
let closestShapeIndex;
let closestCoordIndex;
let mouseMovedX, mouseMovedY, mouseStartX, mouseStartY;
let selectedPoints = [];

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private final Matrix mMatrix = new Matrix();

private void updateMatrix() {
    float mw = this.getWidth();
    float mh = this.getHeight();

    float hw = this.getWidth() / 2.0f;
    float hh = this.getHeight() / 2.0f;

    float cw  = (float)Resources.getSystem().getDisplayMetrics().widthPixels; //Make sure to import Resources package

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//install openCV contrib: https://cocoapods.org/pods/OpenCV2-contrib
/* 
//in Podfile: 

target 'MyProject' do
 pod 'OpenCV2-contrib', '~> 3.2'
*/

//pod install
#include <opencv2/core/core.hpp>

heaversm

#find all videos in a folder and reduce their dimensions and or quality
#-crf lower is higher bitrate (better quality)
# -b 1000000 can be added, where you divide 1 GB by the video length in seconds (e.g. this is a 16m:40s video)
find . -type f -name "*.mp4" -exec bash -c 'FILE="$1"; ffmpeg -i "${FILE}" -crf 20 -s 1280x720 -acodec copy -y "${FILE%.mp4}.shrink.mp4";' _ '{}' \;

#optimize an mp4
ffmpeg -i input.mp4 -vcodec h264 output.mp4

#imagemagick: