Description
Practical Image Processing with OpenCV & Python with Project Course. Practical Image Processing with OpenCV and Python with Project. Welcome to “Image Processing with OpenCV from Zero to Hero”!!! Image processing is one of the fields of data science and it finds many applications in today’s world industry. Many industries are looking for data scientists with these skills. This training is completely project oriented. Where you will do the project after completing each module. Here I will cover image processing from basics to advanced techniques including applied machine learning algorithms and models to images. What will you learn?
- Image basics
- painting
- Image translation
- Image processing techniques
- Smoothing filter
- filter
- Graphical User Interface (GUI) phase in OpenCV
- threshold
Key points in sections 1 to 7
We will start the course with the basics like loading and displaying images. With this we will understand the underlying mathematical background behind the images. I will also teach you the concepts of drawings and videos. Projects (Object Recognition):
- Face recognition using the Viola Jones algorithm
- Face recognition using deep neural networks (SSD ResNet 10, Caffe implementation)
- Real-time facial recognition
- Recognition of facets
Key points in sections 8 to 11
We will slowly get into image processing concepts related to image transformation, such as image translation, rotation, flip, and cropping. I will also teach arithmetic operations in OpenCV.
Project (lighting control):
5. Brightness control based on graphical user interface in images
6. Real-time lighting control
Key points in sections 12,13
In this section, I will introduce new concepts about bitwise operations and masking where you will learn the truth table and various bitwise operations like “AND”, “OR”, “NOT”, “XOR”.
Key points in Section 14
Then we will expand our discussion on filter smoothing, a very important image processing technique. In this section, I will teach smoothing techniques such as average blur, Gaussian blur, mean blur, and bilateral filter.
Key points in Section 15
Automatic face blur project
Key points in Section 16
Threshold Filters: Here we will go deep into threshold concepts (BINARY, TOZERO, TRUNC, ADAPTIVE AVERAGE, ADAPTIVE GAUSSIAN) and implement them using 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 integrate the function into the real-time scenario and get the output.
What you will learn in the course “Practical Image Processing with OpenCV & Python with Project”
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OpenCV training with Python
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Image processing with OpenCV
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Bit operations and masking
This course is suitable for people who
- Anyone interested in learning image processing with OpenCV
Specifications of the course “Practical Image Processing with OpenCV & Python with Project”.
Course topics on 10/2023
Prerequisites for the course “Practical image processing with OpenCV & Python with project”.
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
English subtitles
Quality: 720p
Download link
free download software
Size
2GB