What you'll learn

Basic Introduction to Pornography Censorship & Challenges

Learn How to Constantly Successful in Training Custom Dataset (NSFW) Using TensorFlow 2

Preparing The Necessary Requirements to Successfully Train & Implement TensorFlow Object Detection

Train Dataset Using Transfer Learning Method

Combining TensorFlow 2 Object Detection, NodeJS, TensorFlowJS and WebRTC Framework for Censoring Pornography

Build Apps Capable of Censoring Pornography on Image, Video, Livestreaming & Video Conference/Call

Requirements

No programming experience needed. Students will learn everything within the course step by step.

Description

Tensorflow Object Detection is one of many Artificial Intelligence (AI) technology that grow rapidly in recent years. Its abilities gives our computer and devices the capability to recognize objects with image processing method. It has been so popular recently and has various usages in our daily lives. For example, object detection is often used in robotics, health care, military, game and other modern tools. However, it's quite challenging to successfully implement this technology as so much miscalculation might occur. One single mistake can jeopardize the whole processes, which is tiring and time consuming. Beginners that attempt this challenge usually find themselves lost in nowhere even with so many references (whether from books, journals, internet) out there. Supposedly, that's the reason why this course is created, which is to help anyone taking the path to this awesome technology. Inside, learners will learn:Preparations needed in order to successfully Installing necessary toolsMethods to Collect DatasetDataset Pre-ProcessingImage AnnotationTrain dataset using Transfer Learning method of TensorFlow 2 frameworkOnline Real-Time Object Detection on Web App to censor pornography contentsCombining TensorFlowJS, NodeJS, & WebRTC frameworks to build apps capable of censoring pornography on image, video, livestreaming and video call/conferenceBy the end of this course, students should be able implementing tensorflow object detection on various apps and purposes.

Overview

Section 1: Course Overview

Lecture 1 Projects Demo

Lecture 2 About The Course

Section 2: Brief Introduction

Lecture 3 Pornography Censorship & Challenges

Lecture 4 TensorFlow 2 Object Detection

Lecture 5 Why not Using Image Classification?

Lecture 6 Starting from Scratch to Implementation

Section 3: Getting Ready

Lecture 7 Requirements: Hardware/Software

Lecture 8 The Secrets

Lecture 9 Download Resources

Lecture 10 Install NodeJS Framework

Lecture 11 Install Python Anaconda

Lecture 12 Configuring LabelImg

Lecture 13 Video to Image Converter

Lecture 14 Install Visual Studio Code

Lecture 15 Working with Google Colaboratory

Section 4: Train Dataset Using Method of Transfer Learning

Lecture 16 Collecting Dataset

Lecture 17 Dataset Pre-Processing

Lecture 18 Image Labelling

Lecture 19 Dataset Training

Section 5: Pornography Censorship on Images

Lecture 20 Build The UI First!

Lecture 21 Get The App to Run

Lecture 22 Add The Controller to Censor Pornography on Image

Section 6: Pornography Censorship on Video

Lecture 23 Build The UI First!

Lecture 24 Get The App to Run

Lecture 25 Add The Controller to Censor Pornography on Video

Section 7: Pornography Censorship on Live Streaming

Lecture 26 Build The UI First!

Lecture 27 Get The App to Run

Lecture 28 Add The Controller to Censor Pornography on Live Streaming

Section 8: Pornography Censorship on Video Call/Conference

Lecture 29 Build The UI First!

Lecture 30 Get The App to Run

Lecture 31 Add The Controller to Censor Pornography on Video Call/Conference

Everyone Curious about Online Real-Time Object Detection & Pornography Censorship Based on TensorFlow2-NodeJS-TensorFlowJS-WebRTC Frameworks