Items related to Learn Computer Vision Using OpenCV: With Deep Learning...
Synopsis
Chapter 1: Computer Vision and its application
Chapter Goal:
The goal of this chapter is to have readers understand the landscape of Artificial Intelligence and the role of computer vision in AI applications. An understanding of how computer vision is applied in various domains and its role in building AI systems
No of pages 25
Sub -Topics
1. Overview of AI, computer vision and related fields
2. Real-world usecases and domains for computer vision application
3. Introduction to computer vision and its subfields that includes OCR, ICR etc...
4. Deep dive into deep learning techniques applied in computer vision
5. Architecture, operating model and challenges in building computer vision applications
Chapter 2: Introduction to OpenCV and python
Chapter Goal:
This chapter provides step-by-step instructions to setting up OpenCV with python. Learn core libraries, syntax and interfaces.
No of pages: 20
Sub - Topics
1. Install and set-up OpenCV and python
2. Core operations & syntax
3. GUI features
4. OpenCV-Python bindings
5. Build, deploy and debug OpenCV projects
6. Build OpenCV applications for scale by integrating with file systems.
7. Hands-on code using OpenCV libraries
Chapter 3: Images: Manipulation & Segmentation
Chapter Goal:
This chapter focuses on understanding images, how they are stored and processed by a computer. Image Transformations, translations, rotations, scaling, cropping and operations are covered. Segmentation and pattern recognition within images and tagging using OpenCV libraries is covered
No of pages: 20
Sub - Topics:
1. Image translations - moving images up, down. left and right
2. Rotations - how to spin your image around and do horizontal flipping
3. Scaling, re-sizing and interpolations - understand how re-sizing affects quality
4. Blurring and sharpening5. Segmentation and contours - extract defined shapes In your image
6. Blob detection - detect the center of flowers
7. Hands-on code using OpenCV libraries
Chapter 4: Object Detection:
Chapter Goal:
Finding patterns in objects, SIFT, SURF, FAST, BRIEF & ORB - learn the different ways to get image features
No of pages: 20 pages
Sub - Topics:
1. Objective Detection Overview
2. Videos: reading from Webcam, storing and interpreting
3. Face and eye detection - detect human faces and eyes in any image. face analysis and filtering - identify face outline, lips, eyes even eyebrows. merging faces (face swaps) - combine two faces for fun & sometimes scary results
4. Detecting specific things: landmark, car and pedestrian detection in videos
5. Hands-on code using OpenCV libraries
Chapter 5 : Tracking and Motion Analysis
Chapter Goal:
No of pages: 20 pages
Sub - Topics:
1. Learn how to programmatically track a single point over time.
2. Learn how to analyze videos as sequences of individual image frames
3. Motion filed and optical flow4. Camera models and caliberation
5. Hands-on code using OpenCV libraries
Chapter 6: Looking ahead: upcoming applications and trends in Computer Vision
Chapter Goal:
No of pages: 15 pages
Sub - Topics:
1. Upcoming technologies, applications and technologies in computer vision
2. Other open source frameworks landscape both commercial and opensource
"synopsis" may belong to another edition of this title.
- PublisherApress
- Publication date2019
- ISBN 10 1484242629
- ISBN 13 9781484242629
- BindingPaperback
- LanguageEnglish
- Number of pages172
- Rating
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