Packt Publishing – Python 3.x for Computer Vision
English | Size: 311.18 MB
Category: Tutorial
Unleash the power of computer vision with Python to carry out image processing and computer vision techniques.
This video course is a practical guide for developers who want to get started with building computer vision applications using Python 3. The video is divided into six sections:
• The Fundamentals of Image Processing
• Applied Computer Vision
• Object detection
• Making Applications Smarter
• Extending your Capabilities using OpenCV
• Getting Hands on
Throughout this video course, three image processing libraries: Pillow, Scikit-Image, and OpenCV are used to implement different computer vision algorithms.
The course will help you build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we look at in the course are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.
Each stage of the course elaborates on various concepts and algorithms in image processing/computer vision using Python. This step-by-step practical guide can be used both as a tutorial and as a reference.
What You Will Learn
• Work with open source libraries such Pillow, Scikit-image, and OpenCV
• Write programs such as edge detection, color processing, image feature extraction, and more
• Implement feature detection algorithms such as LBP and ORB
• Understand Convolutional Neural Networks to learn patterns in images
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