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Python 3.x for Computer Vision [Video]
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About this
video
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.
Style and Approach
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.
- Publication date:
- September 2017
- Publisher
- Packt
- Duration
- 1 hour 29 minutes
- ISBN
- 9781788838207