Training model only from ONE picture (OpenCV, python)
Training model only from ONE picture (OpenCV, python), available at $19.99, has an average rating of 4.6, with 20 lectures, based on 5 reviews, and has 50 subscribers.
You will learn about 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 This course is ideal for individuals who are python developers, gamers, ML learners, AI developers, developers, data scientists It is particularly useful for python developers, gamers, ML learners, AI developers, developers, data scientists.
Enroll now: Training model only from ONE picture (OpenCV, python)
Summary
Title: Training model only from ONE picture (OpenCV, python)
Price: $19.99
Average Rating: 4.6
Number of Lectures: 20
Number of Published Lectures: 20
Number of Curriculum Items: 20
Number of Published Curriculum Objects: 20
Original Price: €19.99
Quality Status: approved
Status: Live
What You Will 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 Should Attend
- python developers, gamers, ML learners, AI developers, developers, data scientists
Target Audiences
- python developers, gamers, ML learners, AI developers, developers, data scientists
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.
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.
Course Curriculum
Chapter 1: Introduction to the course
Lecture 1: Introduction
Chapter 2: How to detect your screen real time?
Lecture 1: Setting up environment
Lecture 2: Install python 3
Lecture 3: Install Anaconda Tool-Kit
Lecture 4: Install VSCODE Editor
Lecture 5: Install OpenCV
Chapter 3: Lets detect your screen
Lecture 1: Lets make a new virtualenvironment and install OpenCV
Lecture 2: Making pictures from your screen
Lecture 3: Open video in the new frame
Lecture 4: How to grab the windows frame real time part 1.
Lecture 5: How to grab the windows frame real time part 2.
Lecture 6: How to grab the windows frame real time part 3.
Chapter 4: Fully functional project
Lecture 1: Project overview
Lecture 2: Lets make a new project
Lecture 3: Making your own classifier part 1.
Lecture 4: Making your own classifier part 2.
Lecture 5: Detect playing cards part 1
Lecture 6: Detect playing cards part 2
Lecture 7: Write it down to the separate txt file
Chapter 5: Thank you taking the course
Lecture 1: Additional tutorials
Instructors
-
Molnár Zoltán
developer, machine-learning developer
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 3 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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