Training model only from ONE picture (OpenCV, python)

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Molnár Zoltán

1:16:18

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1 - Introduction to the course

1 - Introduction.mp4

03:01

2 - How to detect your screen real time

2 - Setting up environment.mp4

00:27

3 - Install python 3.mp4

01:41

4 - Install Anaconda ToolKit.mp4

03:11

5 - Install VSCODE Editor.mp4

01:49

6 - Install OpenCV.mp4

01:52

3 - Lets detect your screen

7 - Lets make a new virtualenvironment and install OpenCV.mp4

06:13

8 - Making pictures from your screen.mp4

05:04

9 - Open video in the new frame.mp4

03:50

10 - How to grab the windows frame real time part 1.mp4

10:03

11 - How to grab the windows frame real time part 2.mp4

07:49

12 - How to grab the windows frame real time part 3.mp4

04:16

Exercise Files.zip

4 - Fully functional project

13 - Project overview.mp4

01:12

14 - Lets make a new project.mp4

01:18

15 - Making your own classifier part 1.mp4

02:17

16 - Making your own classifier part 2.mp4

03:42

17 - Detect playing cards part 1.mp4

10:05

18 - Detect playing cards part 2.mp4

05:45

19 - Write it down to the separate txt file.mp4

01:49

Exercise Files.zip

5 - Thank you taking the course

20 - Additional tutorials.mp4

00:54

Description

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
How to train model and create dataset from only on image, and save time
Complete case study how to process video stream from only one pic

Who is this for?

python developers, gamers, ML learners, AI developers, developers, data scientists

What You Need to Know?

no prerequisits needed

No programming experience needed

More details

Description
This unique tutorial is about: implement real screen detection machine learning project, and trainingÂ your own models and classifiers,
andÂ 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.
The course is not that big , but fairly enough to start making your costum dataset.
You can learn create your own costum dataset with only ONE photo. Also you can learn how to fullfil companies requirement if they want detect an object which is not that common. You ca benefit from my course to save time, creating you custom dataset. And I also show you how to detect and grab your frame not only videoprocessing. In real life scenarios almost never coming information via videocamera, mainly always comes from streaming. That was my goal to create this course for you.
Please feel free to ask any question in Q&A section, solution also attached to the video materials.
Thank you very much taking this course, I hope you will be successful.
Who this course is for:
python developers, gamers, ML learners, AI developers, developers, data scientists

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I am a software developer (Java, Python) at an IT company for 5 years and also economist - My degrees are MBA Msc economist and software-engineer. I work as a machine learning and artificial intelligence developer. My main interest is to design and develop fully-functional machine-learning projects and A.I. based projects, for example.: computer vision, decision optimization and so on. My thesis was about Computer Vision and AI also.

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