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// Code based on BITLUNI's ESP32-cam work

// the size you want to downsample to
int newWidth = 40;
int newHeight = 30;
int DSF = 160 / newWidth; // Down Sampling Factor - ideally DSF should be 4, 8 or 16.. so that the bitshifting happening below is accurate

void downSample(unsigned char *frame)
{

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@Override
public WebResourceResponse shouldInterceptRequest(WebView view, WebResourceRequest request) {
    String resourceUrl = request.getUrl().toString();
    String fileExtension = WebviewResourceMappingHelper.getInstance().getFileExt(resourceUrl);
    if(WebviewResourceMappingHelper.getInstance().getOverridableExtensions().contains(fileExtension)){
        String encoding = "UTF-8";
        String assetName = WebviewResourceMappingHelper.getInstance().getLocalAssetPath(resourceUrl);
        if (StringUtils.isNotEmpty(assetName)) {
            String mimeType = WebviewResourceMappingHelper.getInstance().getMimeType(fileExtension);
            if (StringUtils.isNotEmpty(mimeType)) {

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@Override
public WebResourceResponse shouldInterceptRequest(WebView view, WebResourceRequest request) {
    String resourceUrl = request.getUrl().toString();
    String fileExtension = WebviewResourceMappingHelper.getInstance().getFileExt(resourceUrl);
    if(WebviewResourceMappingHelper.getInstance().getOverridableExtensions().contains(fileExtension)){
        String encoding = "UTF-8";
        String assetName = WebviewResourceMappingHelper.getInstance().getLocalAssetPath(resourceUrl);
        if (StringUtils.isNotEmpty(assetName)) {
            String mimeType = WebviewResourceMappingHelper.getInstance().getMimeType(fileExtension);
            if (StringUtils.isNotEmpty(mimeType)) {

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function draw() {
  image(video, 0, 0, width, height);

  // We can call both functions to draw all keypoints and the skeletons
  drawKeypoints();
  drawSkeleton();
}

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# Code adapted from Tensorflow Object Detection Framework
# https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
# Tensorflow Object Detection Detector

import numpy as np
import tensorflow as tf
import cv2
import time

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/**
This is an implementation of Zigbee device communication using an XBee
and a Centralite Smart Switch 4256050-ZHAC

dave  (www.desert-home.com)
source: http://www.desert-home.com/2014/10/zigbee-protocol-xbee-but-this-time.html
*/
 
// This code will handle both a Uno and a Mega2560 by careful use of
// the defines.  I tried it on both of them, and the only problem is that