Rising Odegua risenW

Full Stack Software Engineer | Generalist | Always Curious

risenW / rec-app1.js

Created July 14, 2020 05:55


	app.get("/get-next", (req, res) => {
	let pg_start = Number(req.query.pg_end)
	let pg_end = Number(pg_start) + 12
	res.render("index", {
	books: books.slice(pg_start, pg_end),
	pg_start: pg_start,
	pg_end: pg_end
	})
	});

risenW / rec-app.js

Created July 12, 2020 22:24

	const express = require("express");
	const bodyParser = require("body-parser");
	const expressHbs = require("express-handlebars");
	const books = require("./data/web_book_data.json")
	const model = require("./model")

	const app = express();
	app.set("views", "./views");
	app.set("view engine", "hbs");

risenW / face-mesh-pred.js

Created June 25, 2020 07:12

	async function capture() {
	capturing = true

	while (capturing) {
	const img = await webcam.capture();
	const predictions = await model.estimateFaces(img);

	if (predictions.length > 0) {

	let a = []; b = []; c = []

risenW / face-mesh.js

Last active June 25, 2020 06:56

	let model;
	let webcam
	let webcamElement = document.getElementById("webcam")
	let capturing = false


	async function main() {
	// Load the MediaPipe facemesh model.
	model = await facemesh.load();
	console.log("Model loaded")

risenW / face-mesh.html

Last active June 25, 2020 06:50

	<!doctype html>
	<html lang="en">

	<head>
	<!-- Required meta tags -->
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
	<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
	<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/facemesh"></script>
	<!-- Bootstrap CSS -->

risenW / tf2-index.js

Created June 21, 2020 16:04


	async function app() {
	console.log('DownLoading mobilenet..');
	// Load the MobileNet pretrained model.
	base_net = await mobilenet.load();
	console.log('Successfully loaded model');

	// Create an object from Tensorflow.js data API which could capture image
	// from the web camera as Tensor.
	webcam = await tf.data.webcam(webcamElement);

risenW / tf1-index.js

Created June 21, 2020 16:03

	let base_net,webcam;
	const webcamElement = document.getElementById('webcam');
	const classifier = knnClassifier.create();


	async function addExample(classId) {
	// Capture an image from the web camera.
	const img = await webcam.capture();

	// Get the intermediate activation of MobileNet

risenW / tf-index.html

Created June 21, 2020 15:34

	<html>

	<head>
	<!-- Required meta tags -->
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">

	<!-- Bootstrap CSS -->
	<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/css/bootstrap.min.css"
	integrity="sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk" crossorigin="anonymous">

risenW / cnn-model.py

Last active June 13, 2020 12:36

	import numpy as np
	from tensorflow.keras.datasets.mnist import load_data
	from tensorflow.keras import Sequential
	from tensorflow.keras.layers import Dense,Conv2D,MaxPool2D,Flatten,Dropout

	# load dataset
	train_data, test_data = load_data()
	x_train = train_data[0]
	y_train = train_data[1]
	x_val = test_data[0]

risenW / mnistnode-model.js

Created May 15, 2020 01:15


	//Updating model status
	tstatus = document.getElementById('status')
	predval = document.getElementById('predval')


	//Load the CNN Model on page load
	document.addEventListener('DOMContentLoaded', async () => {
	await loadModel();
	}, false);