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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