OpenCV: Computer Vision Projects with Python

This edition of OpenCV: Computer Vision Projects with Python has approximately 570 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, OpenCV: Computer Vision Projects with Python typically takes between 11h 53m and 7h 55m to complete. This is based on the book's length of approximately 142,500 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 9h 30m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 19 days • Estimated word count: 142,500 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

The estimated word count for OpenCV: Computer Vision Projects with Python is approximately 142,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

OpenCV: Computer Vision Projects with Python was written by Joseph Howse, Prateek Joshi, Michael Beyeler.

The publication date for this specific edition is Oct 24, 2016. The original work may have been published on a different date.