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OpenCV is an open-source machine learning library for Python that adds enhanced artificial intelligence capabilities in computer vision and image processing.

This course is a comprehensive introduction to building applications using OpenCV, including viewing, identifying, and editing image and video files using Python. You’ll start with an introduction to the library before immediately applying the framework to view images, video, webcam input, and text. You’ll then take your image captures and apply various edits, including decolorization, cropping, resizing, and captioning with layered text and objects. You’ll continue with basic machine learning functions, including edge, object, and face detection. With the basics in hand, you’ll wrap up with real-world projects to build document scanners and object trackers.

By the end of this course, you’ll have a working knowledge of OpenCV and machine learning. You’ll be prepared to build functional applications using the principles of computer vision in Python.

Mastering Computer Vision in Python with OpenCV

Let's look at the correct code for creating the document scanner.

First, we set the size of our document after scanning. 
```
frameWidth = 480
frameHeight = 640
```
## Image Processing
We change the image to grayscale and then make it blurry. This helps us get the edges properly. To get the edges, we use the  `cv2.canny()` function of the OpenCV library:


Let's look at the correct code for creating the document scanner.

First, we set the size of our document after scanning. 
```
frameWidth = 480
frameHeight = 640
```
# Image Processing
We change the image to grayscale and then make it blurry. This helps us get the edges properly. To get the edges, we use the  `cv2.canny()` function of the OpenCV library:


Review the steps of creating a document scanner.

Introduction to Python OpenCV

Read Images, Videos, and Webcam

Editing Images

Reading and Editing Images with OpenCV

Advanced Editings

Detection

Assessment on Advanced Editing and Detection

Real-life projects

Conclusion

A Review of the Document Scanner

Image Processing