Table of Contents
This course is your ultimate guide to mastering Computer Vision. Learn & implement everything from basics to advanced using OpenCV4, Dlib and DeepLearning. It is structured with below main headings.
- Computer Vision Fundamentals
- Image Processing Basics
- CV-101
- Advanced CV
- Project: Secure Access
From IP basics to advanced and the final project, We will create everything from scratch. Each topic will be accompanied with an assignment to test your knowledge. Python Object Oriented programming practices will be utilized for better development.
Guide was made for Windows 10.
But with minor tweaking you can set it up on any platform:
| Image Processing Basics | CV-101 |
|---|---|
 |
 |
| Feature | Matching |
|---|---|
 |
 |
| Haar-Cascades | YOLO |
|---|---|
 |
 |
| SOT | DeepSORT |
|---|---|
 |
 |
| Face Recognition | Secure Access |
|---|---|
 |
 |
- IDE or Code-Editor (Preferably VsCode)
- Python 3.8.10
- Opencv-python 4.4.0.46
See requirements.txt for complete list.
- Will be uploaded on Cvsense soon!
- Udemy Discounted Course Link [Discounted Link]
Haider Abbasi
- Website: Cvsense
- Github: Haider.git
- LinkedIn: Haider.in
Hassan Azhar
- Github: Hassan.git
- LinkedIn: Hassan.in
Distributed under the BSD-style License. See LICENSE for more information.