Mastering OpenCV with Practical Computer Vision Projects

This edition of Mastering OpenCV with Practical Computer Vision Projects has approximately 340 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, Mastering OpenCV with Practical Computer Vision Projects typically takes between 7h 5m and 4h 43m to complete. This is based on the book's length of approximately 85,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 40m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 85,000 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 Mastering OpenCV with Practical Computer Vision Projects is approximately 85,000 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.

Mastering OpenCV with Practical Computer Vision Projects was written by Daniel Lélis Baggio, Shervin Emami, David Millán Escrivá.

The publication date for this specific edition is 2012. The original work may have been published on a different date.