Computer Vision Projects with OpenCV and Python 3
This book demonstrates techniques to leverage the power of Python, OpenCV, and TensorFlow to solve problems in Computer Vision. This book also shows you how to build an application that can estimate human poses within images. You will also classify images and identify humans in videos, and then develop your own handwritten digit classifier.
Offered by
Difficulty Level
Intermediate
Completion Time
6h4m
Language
English
About Book
Who Is This Book For?
Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.
Computer Vision Projects with OpenCV and Python 3
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 6h4m total length
Download & install Anaconda for your platform and Introduction to Tool Setup
Image Captioning with TensorFlow
Reading license plates with Tesseract & OpenCV
Human pose estimation with TensorFlow
Handwritten digit recognition with scikit-learn & TensorFlow
Facial feature tracking and classification with dlib
Deep learning image classification with TensorFlow
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