Python 3.x for Computer Vision

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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:

Applied Computer Vision

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.

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