OpenCV Python For Beginners | Hands on Computer Vision
OpenCV Python For Beginners | Hands on Computer Vision, available at $59.99, has an average rating of 3.8, with 54 lectures, based on 214 reviews, and has 6499 subscribers.
You will learn about Basics of NumPy Face Detection with OpenCV Draw shapes on images and videos with OpenCV Smoothing, blurring, thresholding, and morphological operations with OpenCV Objects Tracking with OpenCV Histograms with OpenCV Find Car Lane lines with OpenCV This course is ideal for individuals who are Anyone who wants to code or New Programmers and Developers or Beginners or Students It is particularly useful for Anyone who wants to code or New Programmers and Developers or Beginners or Students.
Enroll now: OpenCV Python For Beginners | Hands on Computer Vision
Summary
Title: OpenCV Python For Beginners | Hands on Computer Vision
Price: $59.99
Average Rating: 3.8
Number of Lectures: 54
Number of Published Lectures: 54
Number of Curriculum Items: 54
Number of Published Curriculum Objects: 54
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Basics of NumPy
- Face Detection with OpenCV
- Draw shapes on images and videos with OpenCV
- Smoothing, blurring, thresholding, and morphological operations with OpenCV
- Objects Tracking with OpenCV
- Histograms with OpenCV
- Find Car Lane lines with OpenCV
Who Should Attend
- Anyone who wants to code
- New Programmers and Developers
- Beginners
- Students
Target Audiences
- Anyone who wants to code
- New Programmers and Developers
- Beginners
- Students
Welcome to this on OpenCV Python Tutorial For Beginners. OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python. it is Open Source and free. opencv is easy to use and install.
The goal of this course is to provide you with a working knowledge of OpenCV with Python. We’ll start with the basics, starting from installing OpenCV with Python on Windows, Mac, and Ubuntu. Then we will see how to create your first OpenCV python script. Then we will dive deep into the amazing world of computer vision Using OpenCV and learn the most important concepts about computer vision using OpenCV .
So Let’s get started !!!
Course Curriculum
Chapter 1: Install and Setup Python
Lecture 1: How to Install Python 3 on Windows 10
Lecture 2: How to install Python 3 on Mac
Lecture 3: How To Install PyCharm In Windows 10
Lecture 4: How To Install PyCharm In Windows 11
Lecture 5: How To Install PyCharm In Mac
Lecture 6: How To Install PyCharm In Ubuntu 18.04 + Create and Run First Python Project
Lecture 7: How To Install PyCharm In Ubuntu 20.04 + Create and Run First Python Project
Chapter 2: Numpy
Lecture 1: Introduction + Installing numpy
Lecture 2: Python List Vs Numpy Array
Lecture 3: Basic properties and Methods in NumPy Array
Lecture 4: Creating specific arrays, Reshape and more
Chapter 3: Introduction to OpenCV
Lecture 1: Introduction to OpenCV
Chapter 4: Install OpenCV
Lecture 1: How to Install OpenCV for Python on Windows 10
Lecture 2: How To Install OpenCV 4 for Python on Ubuntu 18.04 Linux
Chapter 5: OpenCV Basics
Lecture 1: How to Read, Write, Show Images in OpenCV
Lecture 2: How to Read, Write, Show Videos from Camera in OpenCV
Lecture 3: Draw geometric shapes on images using Python OpenCV
Lecture 4: Setting Camera Parameters in OpenCV Python
Lecture 5: Show Date and Time on Videos using OpenCV Python
Lecture 6: Handle Mouse Events in OpenCV
Lecture 7: More Mouse Event Examples in OpenCV Python
Chapter 6: Core Operations
Lecture 1: cv.split, cv.merge, cv.resize, cv.add, cv.addWeighted, ROI
Lecture 2: Bitwise Operations (bitwise AND, OR, NOT and XOR)
Lecture 3: How to Bind Trackbar To OpenCV Windows
Chapter 7: Image Processing in OpenCV
Lecture 1: Object Detection and Object Tracking Using HSV Color Space
Lecture 2: Simple Image Thresholding
Lecture 3: Adaptive Thresholding
Lecture 4: matplotlib with OpenCV
Lecture 5: Morphological Transformations
Lecture 6: Smoothing Images | Blurring Images OpenCV
Lecture 7: Image Gradients and Edge Detection
Lecture 8: Canny Edge Detection in OpenCV
Lecture 9: Image Pyramids with Python and OpenCV
Lecture 10: Image Blending using Pyramids in OpenCV
Lecture 11: Find and Draw Contours with OpenCV in Python
Lecture 12: Motion Detection and Tracking Using Opencv Contours
Lecture 13: Detect Simple Geometric Shapes using OpenCV in Python
Lecture 14: Understanding image Histograms using OpenCV Python
Lecture 15: Template matching using OpenCV in Python
Chapter 8: Hough Transform
Lecture 1: Probabilistic Hough Transform using HoughLinesP in OpenCV
Lecture 2: Hough Line Transform Theory
Lecture 3: Hough Line Transform using HoughLines method in OpenCV
Lecture 4: Circle Detection using OpenCV Hough Circle Transform
Chapter 9: Road Lane Line Detection Mini Project
Lecture 1: Road Lane Line Detection with OpenCV (Part 1)
Lecture 2: Road Lane Line Detection with OpenCV (Part 2)
Lecture 3: Road Lane Line Detection with OpenCV (Part 3)
Chapter 10: Face and Eye Detection
Lecture 1: Face Detection using Haar Cascade Classifiers
Lecture 2: Eye Detection Haar Feature based Cascade Classifiers
Chapter 11: Detect Corners
Lecture 1: Detect Corners with Harris Corner Detector
Lecture 2: Detect Corners with Shi Tomasi Corner Detector
Chapter 12: Background Subtraction Methods
Lecture 1: How to Use Background Subtraction Methods in OpenCV
Chapter 13: Object Tracking
Lecture 1: Object Tracking Meanshift Method
Lecture 2: Object Tracking Camshift Method
Chapter 14: Stand Alone Executable
Lecture 1: Creating a Stand Alone Executable
Instructors
-
Yogesh Patel
Software Developer and Programming Enthusiast
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 3 votes
- 3 stars: 30 votes
- 4 stars: 88 votes
- 5 stars: 88 votes
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