Python Image Processing – Make Instagram-Style Filters
Develop your understanding of Python computer vision by developing a photo filter editor from scratch, and mastering your understanding of matrices, color models, brightness, contrast and convolution.
- 3.2 Hours of Video
- Certificate of Completion
- Source Code
- Closed Captions
- On-demand, 24/7 access
- 3.2 hours of video
- Certificate of completion
- Source code and PDF notes
- Closed captions
In this course we’ll be building a photo filter editor which allows you to create filters such as those used in Instagram and Snapchat. This app allows you to load a photo, edit it’s contrast, brightness and gray-scale. You can also create and apply custom filters using this tool.
Theory sections are included, where concepts such as matrices, color models, brightness, contrast and convolution are explained in detail from a mathematical perspective. Practical sections include the installation of the Anaconda development environment, matrix operations and OpenCV. The photo editor is built from scratch using OpenCV UI.
- Color Models
- Brightness and Contrast
- OpenCV UI
Frameworks and tools covered: Python 3.6, Anaconda 5.2, NumPy 1.15, OpenCV-Python 3.4.1
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Basic to intermediate Python skills.
It is recommended to take this course as part of the Python Computer Vision Mini-Degree, which includes 8 courses on the fundamentals of coding with Python, and teaches core concepts in computer vision.
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