Object Detect with TensorFlow, React, Mongo, TS, Redis, WS

Object Detect with TensorFlow, React, Mongo, TS, Redis, WS, available at $19.99, has an average rating of 3.5, with 29 lectures, based on 1 reviews, and has 21 subscribers.

You will learn about Architect app using a collection of technologies Solve concurrency issues in a queue and file writing Build a React App to render data from your database Use Express NPM package for NodeJS and TypeScript Communicate data between queue and websocket Develop a service app with Docker and TensorFlow Leverage your Javascript skills to build a complex web app Write nothing but production-level code. No cutting corners! This course is ideal for individuals who are Javascript engineers looking to detect objects by webcamers or This course is *not* designed for sysadmins focused on infrastructure deployment It is particularly useful for Javascript engineers looking to detect objects by webcamers or This course is *not* designed for sysadmins focused on infrastructure deployment.

Enroll now: Object Detect with TensorFlow, React, Mongo, TS, Redis, WS

Summary

Title: Object Detect with TensorFlow, React, Mongo, TS, Redis, WS

Price: $19.99

Average Rating: 3.5

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Architect app using a collection of technologies
Solve concurrency issues in a queue and file writing
Build a React App to render data from your database
Use Express NPM package for NodeJS and TypeScript
Communicate data between queue and websocket
Develop a service app with Docker and TensorFlow
Leverage your Javascript skills to build a complex web app
Write nothing but production-level code. No cutting corners!

Who Should Attend

Javascript engineers looking to detect objects by webcamers
This course is *not* designed for sysadmins focused on infrastructure deployment

Target Audiences

Javascript engineers looking to detect objects by webcamers
This course is *not* designed for sysadmins focused on infrastructure deployment

Scalable, production-ready code?Its here!

How This Course Works

This will expose you to challenging problems and clever solutions when handling subjects like capture frames from webcams!

What Technology You’ll Use

Because we are building a full stack application, we will use a variety of technologies. On the frontend, we’ll use React and Next JS to present content to users. Each service is created using Node and Express. Data for each service is held in either a Mongo database. Finally, almost all of the code in this course is written with Typescript.

This is a scary list of technologies! Not familiar with some of these? No problem! The course is built assuming that you only know the basics of Javascript and Express. No other knowledge is needed – you will learn everything you need to know.

What You’ll Be Able to Do

By the time you complete this course, you will be able to:

Architect a multi-service application
Determine whether your app is a good fit for a select area of webcams to watch for objects
Organize and enhance the reusability of code in large projects

What You’ll Learn

An absolute incredible number of topics are covered in this course. Here is a partial list of what you’ll do:

Practice for capture frames of webcams
Write a custom implementation of an ordered queue
Optionally, run a server with endpoint with rooms and websocket alert listeners
Guarantee consistently structured responses from your different API’s
And much more!

Course Curriculum

Chapter 1: Fundamental Ideas Around Microservices

Lecture 1: What Application Does ?

Lecture 2: Basic Application Architecture

Chapter 2: Orchestrating Services with TensorFlow, Docker and Object Detection

Lecture 1: Server Init

Lecture 2: Create Basic Endpoints

Lecture 3: Create Room Model

Lecture 4: Create REST Room endpoints

Lecture 5: Webcam using

Lecture 6: Webcam object detection

Lecture 7: Objection Detection endpoint

Lecture 8: Object Detection TensorFlow service

Lecture 9: Convert Image to array of bytes

Lecture 10: Object Detect from Webcams

Lecture 11: Create Room Convertors

Lecture 12: Create match endpoint

Lecture 13: Matching object in selected area

Lecture 14: Install server packages

Lecture 15: Connect to Mongo and WS subscription to Redis channel

Lecture 16: Create a Queue and handle queue process

Lecture 17: Running Server

Chapter 3: Managing Client Side

Lecture 1: Client init

Lecture 2: Install client packages

Lecture 3: Render Rooms

Lecture 4: Create Preview component

Lecture 5: Render rooms

Lecture 6: Create Crop Feature

Lecture 7: Create Room Component

Lecture 8: Create a Room

Lecture 9: Header Component

Lecture 10: Running App

Instructors

YEVHEN MAKSYMENKO
Software Engineer

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 0 votes
5 stars: 0 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu