E-Books
Computer Vision with Python & OpenCV: Basic to Advance (Hinglish E-book)
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Learn Computer Vision from Zero to Projects — in Simple Hinglish
This 57-page e-book takes you from "what is a pixel?" to real computer vision projects: face detection, object counting, filters, feature matching and more — all in easy Hinglish, with every single Python code example executed and verified before printing.
Key Features
| 19 Chapters | Basic to advance: pixels & arrays → image processing → face detection → mini projects → interview prep |
| 142 Questions | 120 practice questions (with answers) + 22 interview Q&A with answers |
| Verified Code Only | Every snippet was actually run — outputs shown are real, e.g. YuNet face detection score 0.91, 9 coins counted, 226 ORB keypoints detected |
| 21 Visuals | 7 concept diagrams + 14 real result images from executed code |
| 12 Deep Dives | Extra hands-on mini-examples in every major chapter (ROI copy-paste, batch processing, cool/warm filters & more) |
| 42-Term Glossary | Word bank of essential computer vision terms with simple meanings |
| 2 Mini Projects | Photo filter app + object counter — portfolio-ready code |
| Cheat Sheet | One-page quick reference: functions, color codes, HSV ranges, interview tips |
Why You'll Love This
✅ Hinglish explanations — no heavy English jargon
✅ Learn by doing: read, run the code, see the result
✅ Common beginner mistakes called out in every chapter
✅ Interview-ready: dedicated Q&A chapter + last-minute tips
✅ Works with free tools only — Python + OpenCV
Who Is This For?
Students, beginners in AI/ML, and anyone curious how face unlock, Instagram filters and self-driving cars "see". No prior computer vision knowledge needed — basic Python is enough.
Note: code examples use the headless OpenCV build (no imshow); every output in the book is from a real executed run.
