Download Udemy – Practical Image Processing with OpenCV & Python with Project 2022-3

• Image basics
• paintings
• Image translation
• Image processing techniques
• Smoothing filters
• Filters
• Graphical User Interface (GUI) phase in OpenCV
• Threshold

Key points in sections 1 to 7

We will start the course with the very basics like loading, displaying images. With that, we will understand the underlying mathematical background behind the images. I will also teach you the concepts of Drawings and Video. Projects (object detection):

1. Face recognition using Viola Jones algorithm
2. Face recognition using deep neural networks (SSD ResNet 10, Caffe Implementation)
3. Face recognition in real time
4. Facial landmark detection

Key points in Sections 8 to 11

We will slowly move on to image processing concepts related to image transformation such as image translation, rotation, rotation and cropping. I will also teach arithmetic operations in OpenCV.

Project (lighting control):

5. Brightness control based on graphical user interface in images

6. Lighting control in real time

Key points in section 12,13

In this section, I will introduce new concepts about bitwise operations and masking, where you will learn truth table and various bitwise operations such as “AND”, “OR”, “NOT”, “XOR”.

Key points in section 14

We will then expand our discussion on filter smoothing, which is a very important image processing technique. In this section, I teach smoothing techniques such as Average Blur, Gaussian Blur, Median Blur and Bilateral Filter.

Important points in section 15

Automatic face blur project

Key points in section 16

Threshold Filter: Here we go deep into threshold concepts (BINARY, TOZERO, TRUNC, ADAPTIVE AVERAGE, ADAPTIVE GAUSSIAN) and implement with OpenCV and Python. You will have full access to the Images, Data, and Jupyter Notebook files used in this course. The code used in this course is written in such a way that you can directly plug the function into the real-time scenario and get the output.

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p