Basics of Python and Image Processing With Python (OpenCV)
Basics of Python and Image Processing With Python (OpenCV), available at $54.99, has an average rating of 4.1, with 107 lectures, based on 105 reviews, and has 493 subscribers.
You will learn about Basics of Python, Basics of OpenCV, Basics of Deep Learning, Computer Vision This course is ideal for individuals who are For engineering students (EEE, CE etc.), or Interested in Machine Learning(ML), or Interested in Computer Vision (OpenCV Module) and or Those Who Want to Learn Python. It is particularly useful for For engineering students (EEE, CE etc.), or Interested in Machine Learning(ML), or Interested in Computer Vision (OpenCV Module) and or Those Who Want to Learn Python.
Enroll now: Basics of Python and Image Processing With Python (OpenCV)
Summary
Title: Basics of Python and Image Processing With Python (OpenCV)
Price: $54.99
Average Rating: 4.1
Number of Lectures: 107
Number of Published Lectures: 107
Number of Curriculum Items: 107
Number of Published Curriculum Objects: 107
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- Basics of Python,
- Basics of OpenCV,
- Basics of Deep Learning,
- Computer Vision
Who Should Attend
- For engineering students (EEE, CE etc.),
- Interested in Machine Learning(ML),
- Interested in Computer Vision (OpenCV Module) and
- Those Who Want to Learn Python.
Target Audiences
- For engineering students (EEE, CE etc.),
- Interested in Machine Learning(ML),
- Interested in Computer Vision (OpenCV Module) and
- Those Who Want to Learn Python.
Hello everyone,
With the Basics of Python and Image Processing with Python (OpenCV) course, we will learn the basics of Python programming language and image processing well, and we will build deep learning projects. Thanks to the course contents, you will be expert in Python and Image Processing. Here are some of the topics that are covered:
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Basics of Python:
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Variables,
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Data types,
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Standart Input and Output Functions,
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Lists, Tuples and Dictionaries,
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Methods,
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Arithmetic Operators,
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Type Conversions,
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Logical Conjuctions
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Conditional Structures,
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Loops,
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Functions,
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Modules and
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More Examples.
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Basics of OpenCV:
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Reading and Showing an Image,
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Reaching Height, Width and Channels of an Image,
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Resizing an Image,
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Reaching Pixel Density of Color Image,
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Cropping a Certain Area,
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Saving an Image,
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Texting,
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Video and Webcam Operations,
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Color Transformations,
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Copy,
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Rotation and
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Filters.
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Machine Learning:
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Face and Eye Detection.
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Deep Learning:
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Creating Face and Hand Model.
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Project: Virtual Button
No previous programming knowledge is required.
“You are never too old to set another goal or to dream a new dream.” –C.S.Lewis
“Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles begins with a single step” –Lao
You get the best information that I have compiled over years of trial and error and experience!
Best wishes,
Yılmaz ALACA
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Schedule
Chapter 2: Installations
Lecture 1: Installation of Python
Lecture 2: Installation of Jupyter Notebook
Chapter 3: Basics of Python
Lecture 1: What Is Variable?
Lecture 2: Numerical Data Types (Variables) -1
Lecture 3: Numerical Data Types (Rules of Variables) -2
Lecture 4: Numerical Data Types (Rules of Variables) -3
Lecture 5: String Data Type -1
Lecture 6: Changing Variable (Rules of Variables) -4
Lecture 7: String Data Type -2
Lecture 8: String Data Type -3
Lecture 9: Standart OUTPUT Function
Lecture 10: Lists -1
Lecture 11: Lists -2
Lecture 12: Methods for Lists
Lecture 13: Standart Input Function
Lecture 14: Arithmetic Operators -1
Lecture 15: Arithmetic Operators -2
Lecture 16: Type Conversions -1
Lecture 17: Type Conversions -2
Lecture 18: Tuples
Lecture 19: Dictionaries
Lecture 20: Logical Data Types
Lecture 21: Example 1
Lecture 22: Logical Conjuctions -1
Lecture 23: Logical Conjuctions -2
Lecture 24: Example 2
Chapter 4: Conditional Structures
Lecture 1: What is Conditional Structure?
Lecture 2: If Condition
Lecture 3: If-Else Condition
Lecture 4: Example 3
Lecture 5: If-Elif-Else Condition
Lecture 6: Example 4
Chapter 5: Loops
Lecture 1: What is Loop?
Lecture 2: Structure "in"
Lecture 3: For Loop -1
Lecture 4: Example 5
Lecture 5: For Loop -2
Lecture 6: While Loop
Lecture 7: Example 6
Lecture 8: While – Else
Lecture 9: break and continue
Lecture 10: Example 7
Chapter 6: Functions
Lecture 1: Functions -1
Lecture 2: Default Parameter and Parameter Order
Lecture 3: Example 8
Lecture 4: Functions -2
Lecture 5: Example 9
Lecture 6: Multiple Data in a Parameter
Lecture 7: Functions -3
Lecture 8: Functions -4
Lecture 9: Functions -5
Lecture 10: Example 10
Lecture 11: Example 11
Lecture 12: Example 12
Lecture 13: Example 13
Chapter 7: Useful Functions and Parameters
Lecture 1: Map
Lecture 2: Filter
Lecture 3: End Parameter
Lecture 4: Enumerate
Chapter 8: Modules
Lecture 1: Modules -1
Lecture 2: Modules -2
Lecture 3: Modules -3
Lecture 4: Datetime Module
Lecture 5: Reaction Time for Our Program
Lecture 6: Custom Module
Chapter 9: Installation of OpenCV and IDE
Lecture 1: Installation of IDE
Lecture 2: Installation of OpenCV
Chapter 10: Basics of OpenCV
Lecture 1: Reading and Showing an Image
Lecture 2: Reaching Height, Width and Channels of an Image
Lecture 3: Resizing an Image
Lecture 4: Reaching Pixel Density of Color Image
Lecture 5: Cropping a Certain Area
Lecture 6: Basic Drawing Operations -1
Lecture 7: Basic Drawing Operations -2
Lecture 8: Basic Drawing Operations -3
Lecture 9: FILLED
Lecture 10: Saving an Image
Lecture 11: Example 14
Lecture 12: Texting
Lecture 13: Opening a Video
Chapter 11: Color Transformations
Lecture 1: Gray
Lecture 2: HSV
Lecture 3: Binary
Chapter 12: Copy
Lecture 1: Copy an Image
Chapter 13: Rotation
Lecture 1: Rotate a 2D Image
Instructors
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Yılmaz Alaca
Electrical and Electronics Engineer | Author | Instructor
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 8 votes
- 5 stars: 91 votes
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