venetanji

class FanCount
  @queue = "FanCount"
  include Mongoid::Document
  
  field :page_id
  field :fans
  field :date

  index :page_id, :unique => true, :background => true

venetanji

class FanCount
  @queue = "FanCount"
  include Mongoid::Document
  
  field :page_id
  field :fans
  field :date, :type => DateTime

  index :page_id, :unique => true, :background => true
  index(

venetanji

  def set_current_user
    if @signed_request
      if @signed_request['user_id']
        @current_user = User.find_or_initialize_by(id: @signed_request['user_id'])
        @current_user.token = @signed_request['oauth_token']
        if @current_user.new_record?
          @current_user.beard ||= Beard.new
          @current_user.fetch_info
        end
        @current_user.save

venetanji

class Syncable
  include Mongoid::Document
  
  field :url
  field :method,                      default: :get
  field :query
  field :body
  field :headers,                     default: {}
  field :callback_class,              default: :syncable
  field :callback_method,             default: :default

venetanji

#include  <ESP8266WiFi.h>
#include <ArduinoWebsockets.h>

// include wpa2 enterprise code
extern "C" {
  #include "user_interface.h"
  #include "wpa2_enterprise.h"
}

// SSID, Username and password. Update with yours!

venetanji

#include <Arduino.h>
#ifdef ESP32
  #include <WiFi.h>
  #include "SPIFFS.h"
#else
  #include <ESP8266WiFi.h>
#endif
#include "AudioFileSourceSPIFFS.h"
#include "AudioGeneratorMP3.h"
#include "AudioOutputI2S.h"

venetanji

const tf = require('@tensorflow/tfjs-node-gpu');
const cv = require("@u4/opencv4nodejs");
const posenet = require("@tensorflow-models/posenet")

let camera = new cv.VideoCapture(0);
camera.set(cv.CAP_PROP_FRAME_WIDTH, 640);
camera.set(cv.CAP_PROP_FRAME_HEIGHT, 480);

async function loadPosenet() {
    net = await posenet.load({

venetanji

/*
	Esp8266 Websockets Client

	This sketch:
        1. Connects to a WiFi network
        2. Connects to a Websockets server
        3. Sends the websockets server a message ("Hello Server")
        4. Prints all incoming messages while the connection is open

	Hardware:

venetanji

import cv2
import asyncio
import time
# open camera and get video capture object
cap = cv2.VideoCapture(0, cv2.CAP_DSHOW)
# set camera resolution
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
size=10
cap.set(cv2.CAP_PROP_BUFFERSIZE,size)

venetanji

import sys
import numpy as np
import cv2 as cv
import NDIlib as ndi
import re
import asyncio
from pythonosc import udp_client
from facenet_pytorch import MTCNN
from hsemotion.facial_emotions import HSEmotionRecognizer
import torch