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Real-Time Object Detection Project (Opencv, Python)

Posted By: ELK1nG
Real-Time Object Detection Project (Opencv, Python)

Real-Time Object Detection Project (Opencv, Python)
Last updated 10/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 630.87 MB | Duration: 1h 15m

A real project that meets the company's expectations

What you'll learn
Mastering Computer Vision technology, to analyse screen in online games, OpenCV, real-time object detection
Latest computer vision technology, and making classifiers from only one positive image
Requirements
no prerequisits
Description
This unique tutorial is about: implement real screen detection machine learning project, and training  your own models and classifiers,and  we will learn step-by-step, how to train and develop machine learning projects from scratch and also how to detect and analyse our screen real time. The course will teach you how to make your own classifier from only one positive image.The project is about the real time streaming, and detect objects in video games as well.

Overview

Section 1: Introduction to the course

Lecture 1 Introduction

Section 2: How to detect your screen real time?

Lecture 2 Setting up environment

Lecture 3 Install python 3

Lecture 4 Install Anaconda Tool-Kit

Lecture 5 Install VSCODE Editor

Lecture 6 Install OpenCV

Section 3: Lets detect your screen

Lecture 7 Lets make a new virtualenvironment and install OpenCV

Lecture 8 Making pictures from your screen

Lecture 9 Open video in the new frame

Lecture 10 How to grab the windows frame real time part 1.

Lecture 11 How to grab the windows frame real time part 2.

Lecture 12 How to grab the windows frame real time part 3.

Section 4: Fully functional project

Lecture 13 Project overview

Lecture 14 Lets make a new project

Lecture 15 Making your own classifier part 1.

Lecture 16 Making your own classifier part 2.

Lecture 17 Detect playing cards part 1

Lecture 18 Detect playing cards part 2

Lecture 19 Write it down to the separate txt file

Section 5: Thank you taking the course

Lecture 20 Additional tutorials

python developers, gamers, ML learners, AI developers, developers