Python 3.x for Computer Vision

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 311 MB

Genre: eLearning | Language: English

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.