Book

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 approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 6h4m total length

1. Download & install Anaconda for your platform and Introduction to Tool Setup

2. Image Captioning with TensorFlow

3. Reading license plates with Tesseract & OpenCV

4. Human pose estimation with TensorFlow

5. Handwritten digit recognition with scikit-learn & TensorFlow

6. Facial feature tracking and classification with dlib

7. Deep learning image classification with TensorFlow

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